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What Is Data Science and Machine Learning using Python, Why You Should Do It From Uncodemy?

Data science and machine learning using Python refer to the use of the Python programming language for data analysis, modeling, and machine learning tasks. Python has become a popular choice for data science due to its simplicity, versatility, and the availability of powerful libraries for data analysis and machine learning.

Data science is the process of extracting insights and knowledge from data, and it involves a range of techniques, including data cleaning, exploration, visualization, and modeling. Machine learning is a subset of data science that involves creating algorithms and models that can learn from data and make predictions or decisions without being explicitly programmed to do so.

Python offers a range of libraries and tools for data science and machine learning, including NumPy for numerical computing, pandas for data analysis and manipulation, matplotlib for data visualization, and scikit-learn for machine learning. These libraries provide powerful functionality and make it easy to get started with data science and machine learning in Python.

Using Python for data science and machine learning can help organizations gain insights from their data, improve decision-making, and build intelligent systems that can automate tasks and improve efficiency.

Uncodemy's reputation as one of the premier Data Science and Machine Learning using Python training institutes in Noida, located in Delhi NCR, India, is well-earned. The institute's partnerships with Fortune 500 companies and renowned MNCs guarantee that students are taught by the best and brightest industry experts, who not only possess expert teaching abilities, but also have the real-world experience necessary to guide students in developing the confidence and skills needed to thrive in the competitive IT industry.

If you're a newbie looking for Data Science and Machine Learning using Python training for beginners in Noida, Uncodemy's got you covered with the following Data Science and Machine Learning using Python course benefits in Noida-

Other assets include-

  • Well equipped labs.
  • Content libraries.
  • Regular webinars.
  • 24/7 Availability of tutors.
  • Special batches for working students, flexible schedules.
  • Affordable Bootcamps.
  • 100% placement guarantee.
  • Globally recognised certifications.
  • Working Mentors from Data Science and Machine Learning using Python industries.
  • Certified courses of Data Science and Machine Learning using Python to help you become a skilled professional.
  • Option to choose from online and offline classroom or sessions.
  • Special batches for working or busy students.
  • Multiple live projects.
  • Paid internships and certificates after completion.
  • One time investment, lifetime validity.
  • Experience letter.

Remarkable Features Of Uncodemy

For those seeking to enhance their Data Science and Machine Learning using Python skills, Uncodemy's Data Science and Machine Learning using Python training in Noida is an opportunity not to be missed. The institute's mentors are highly experienced professionals from renowned MNCs and promising startups gaining recognition in the industry. At a fraction of the cost, students can receive world-class training from industry leaders, equipping them with the skills to advance their careers in Data Science and Machine Learning using Python. Here are some compelling reasons to choose Uncodemy's Data Science and Machine Learning using Python training in Noida:

100% placement guarantee.
Affordable Bootcamps.
Globally recognised certifications.
Flexible schedules.
Special batches for working or busy students.
Internship/Experience letter.
One on one sessions for efficient learning.
Multiple live projects.
Paid internships and certificates after completion.
Certified courses of Data Science and Machine Learning using Python to help you become a skilled professional.
Working Mentors from Data Science and Machine Learning using Python industries.
Option to choose from online and offline classroom or sessions.
Q/A after every session.
Chat with the tutors anytime.
One time investment, lifetime validity.

Curriculum For Data Science and Machine Learning using Python Course in Noida

Data Science and Machine Learning using Python Curriculum

The curriculum has been designed by faculty from IITs, and Expert Industry Professionals.

200+

Hours of Content

90+

Live Sessions

15+

Tools and Software

Set the Basics Right

Data Science and Machine Learning using Python course provider of Noida called Uncodemy offers a curriculum that contains following courses to strengthen your skill in Data Science and Machine Learning using Python

1. Python for Data Science

  • Need for Programming
  • Advantages of Programming
  • Overview of Python
  • Organizations using Python
  • Python Applications in Various Domains
  • Python Installation
  • Variables
  • Operands and Expressions
  • Conditional Statements
  • Loops
  • Command Line Arguments
  • Method of Accepting User Input and eval Function
  • Python - Files Input/Output Functions
  • Lists and Related Operations
  • Tuples and Related Operations
  • Strings and Related Operations
  • Sets and Related Operations
  • Dictionaries and Related Operations
  • User-Defined Functions
  • Concept of Return Statement
  • Concept of name =” main ”
  • Function Parameters
  • Different Types of Arguments
  • Global Variables
  • Global Keyword
  • Variable Scope and Returning Values
  • Lambda Functions
  • Various Built-In Functions
  • Introduction to Object-Oriented Concepts
  • Built-In Class Attributes
  • Public, Protected and Private Attributes, and Methods
  • Class Variable and Instance Variable
  • Constructor and Destructor
  • Decorator in Python
  • Core Object-Oriented Principles
  • Inheritance and Its Types
  • Method Resolution Order
  • Overloading
  • Overriding
  • Getter and Setter Methods
  • Inheritance-In-Class Case Study
  • Standard Libraries
  • Packages and Import Statements
  • Topics : Working with Modules and Handling Exceptions
  • Info@uncodemy.com | +91-7701928515 | www.uncodemy.com
  • Reload Function
  • Important Modules in Python
  • Sys Module
  • Os Module
  • Math Module
  • Date-Time Module
  • Random Module
  • JSON Module
  • Regular Expression
  • Exception Handling
  • Basics of Data Analysis
  • NumPy - Arrays
  • Operations on Arrays
  • Indexing Slicing and Iterating
  • NumPy ArrayAttributes
  • Matrix Product
  • NumPy Functions
  • Functions
  • Array Manipulation
  • File Handling Using NumPy
  • Array Creation and Logic Functions
  • File Handling Using Numpy
  • Introduction to pandas
  • Data structures in pandas
  • Series
  • Data Frames
  • Importing and Exporting Files in Python
  • Basic Functionalities of a Data Object
  • Merging of Data Objects
  • Concatenation of Data Objects
  • Types of Joins on Data Objects
  • Data Cleaning using pandas
  • Exploring Datasets
  • 2. Data Science Primer and Statistics

  • What is Data Science?
  • What does Data Science involve?
  • Era of Data Science
  • Business Intelligence vs Data Science
  • Life cycle of Data Science
  • Tools of Data Science
  • Application of Data Science
  • Introduction
  • Stages of Analytics
  • CRISP DM Data Life Cycle
  • Data Types
  • Introduction to EDA
  • First Business Moment Decision
  • Second Business Moment Decision
  • Third Business Moment Decision
  • Fourth Business Moment Decision
  • Correlation
  • What is Feature
  • Feature Engineering
  • Feature Engineering Process
  • Benefit
  • Feature Engineering Techniques
  • Basics Of Probability
  • Discrete Probability Distributions
  • Continuous Probability Distributions
  • Central Limit Theorem
  • Concepts Of Hypothesis Testing - I: Null And Alternate Hypothesis, Making
  • A Decision, And Critical Value Method
  • Concepts Of Hypothesis Testing - II: P-Value Method And Types Of Errors
  • Industry Demonstration Of Hypothesis Testing: Two-Sample Mean And
  • Proportion Test, A/B Testing
  • 3. Machine Learning

  • Simple Linear Regression
  • Simple Linear Regression In Python
  • Multiple Linear Regression
  • Multiple Linear Regression In Python
  • Industry Relevance Of Linear Regression
  • Simple Linear Regression
  • Simple Linear Regression In Python
  • Multiple Linear Regression
  • Multiple Linear Regression In Python
  • Industry Relevance Of Linear Regression
  • Univariate Logistic Regression
  • Multivariate Logistic Regression: Model
  • Building And Evaluation
  • Logistic Regression:
  • Industry Applications
  • Data mining classifier technique
  • Application of KNN classifier
  • Lazy learner classifier
  • Altering hyperparameter(k) for better accuracy
  • Black box
  • SVM hyperplane
  • Max margin hyperplane
  • Kernel tricks for non linear spaces
  • Rule based classification method
  • Different nodes for develop decision trees
  • Discretization
  • Entropy
  • Greedy approach
  • Information gain
  • Challenges with standalone model
  • Reliability and performance of a standalone model
  • Homogeneous & Heterogeneous Ensemble Technique
  • Bagging & Boosting
  • Random forest
  • Stacking
  • Voting & Averaging technique
  • Difference between cross sectional and time series data
  • Different component of time series data
  • Visualization techniques for time series data
  • Model based approach
  • Data driven based approach
  • Difference between Supervised and Unsupervised Learning
  • Prelims of clustering
  • Measuring distance between record and groups
  • Linkage functions
  • Dendrogram
  • Dimension reduction
  • Application of PCA
  • PCA & its working
  • SVD & its working
  • Point of Sale
  • Application of Association rules
  • Measure of association rules
  • Drawback of measure of association rules
  • Condition probability
  • Lift ratio
  • 4. Deep Learning

  • Black box techniques
  • Intution of neural networks
  • Perceptron algorithm
  • Calculation of new weights
  • Non linear boundaries in MLP
  • Integration function
  • Activation function
  • Error surface
  • Gradient descent algo
  • Imagenet classification challenges
  • Convolution network applications
  • Challenges in classifying the images using MLP
  • Parameter explosion
  • Pooling layers
  • Fully connected layers
  • Alexnet case study
  • Modelling sequence data
  • Vanishing/Gradient descent explode
  • What is a Deep Learning Platform?
  • H2O.ai
  • Dato GraphLab
  • What is a Deep Learning Library?
  • Theano
  • Deeplearning4j
  • Torch
  • Caffe
  • 5. Data Visualization and Story Telling

  • Bar Charts
  • Histograms
  • Pie Charts
  • Box Plots
  • Scatter Plots
  • Line Plots and Regression
  • Pair plot
  • Word Clouds
  • Radar Charts
  • Waffle Charts
  • 6. Natural Language Processing

  • Text data generating sources
  • How to give structure to text structure using bag of words
  • Terminology used in text data analysis
  • DTM & TDM
  • TFIDF & its usage
  • Word cloud and its interpretation
  • 7. SQL

  • Introduction to Databases
  • How to create a Database instance on Cloud?
  • Provision a Cloud hosted Database instance.
  • What is SQL?
  • Thinking About Your Data
  • Relational vs. Transactional Models ER Diagram
  • CREATE Table Statement and DROP tables
  • UPDATE and DELETE Statements
  • Retrieving Data with a SELECT Statement
  • Creating Temporary Tables
  • Adding Comments to SQL
  • Basics of Filtering with SQL
  • Advanced Filtering: IN, OR, and NOT
  • Using Wildcards in SQL
  • Sorting with ORDER BY
  • Math Operations
  • Aggregate Functions
  • Grouping Data with SQL
  • Using Subqueries
  • Subquery Best Practices and Considerations
  • Joining Tables
  • Cartesian (Cross) Joins
  • Inner Joins
  • Aliases and Self Joins
  • Advanced Joins: Left, Right, and Full Outer Joins
  • Unions
  • Working with Text Strings
  • Working with Date and Time Strings
  • Date and Time Strings Examples
  • Case Statements
  • Views
  • Data Governance and Profiling
  • Using SQL for Data Science
  • How to access databases using Python?
  • Writing code using DB-API
  • Connecting to a database using DB API
  • Create Database Credentials
  • Connecting to a database instance
  • Creating tables, loading, inserting, data and querying data
  • Analysing data with Python
  • 8. Excel

  • Input data & handling large spreadsheets
  • Tricks to get your work done faster
  • Automating data analysis (Excel VLOOKUP, IF Function, ROUND and more)
  • Transforming messy data into shape
  • Cleaning, Processing and Organizing large data
  • Spreadsheet design principles
  • Drop-down lists in Excel and adding data validation to the cells.
  • Creating Charts & Interactive reports with Excel Pivot Tables, PivotCharts, Slicers and Timelines
  • Functions like: - COUNTIFS, COUNT, SUMIFS, AVERAGE and many more.
  • Excel features: - Sort, Filter, Search & Replace Go to Special etc...
  • Importing and Transforming data (with Power Query)
  • Customize the Microsoft Excel interface
  • Formatting correctly for professional reports.
  • Commenting on cells.
  • Automate data entry with Autofill and Flash-fill.
  • Writing Excel formulas & referencing to other workbooks / worksheets.
  • Printing options
  • Charts beyond column and bar charts: - Pareto chart, Histogram, Treemap, Sunburst
  • charts & more
  • 9. Tableau

  • Introduction to Data Visualization
  • Tableau Introduction and Tableau Architecture
  • Exploring Data using Tableau
  • Working with Data using Tableau including Data Extraction and
  • Blending
  • Various Charts in Tableau(Basics to Advanced)
  • Sorting-Quick Sort, Sort from Axis, Legends, Axis, Sort by Fields
  • Filtering- Dimension Filters, Measure Filters, Date Filters, Tableau
  • Context Filters
  • Groups , Sets and Combined Sets
  • Reference Lines, Bands and Distribution
  • Parameters, Dynamic Parameters and Actions
  • Forecasting-Exponential Smoothening Techniques
  • Clustering
  • Calculated Fields in Tableau, Quick Tables
  • Tableau Mapping Features
  • Tableau Dashboards, Dashboards Action and Stories
  • 10. Power BI

  • Introduction to Power BI – Need, Imprtance
  • Power BI – Advantages and Scalable Options
  • Power BI Data Source Library and DW Files
  • Business Analyst Tools, MS Cloud Tools
  • Power BI Installation
  • Power BI Desktop – Instalation, Usage
  • Sample Reports and Visualization Controls
  • Understanding Desktop & Mobile Editions
  • Report Rendering Options and End User Access
  • Report Design with Databse Tables
  • Report Visuals, Fields and UI Options
  • Reports with Multiple Pages and Advantages
  • Pages with Multiple Visualizations. Data Access
  • “GET DATA” Options and Report Fields, Filters
  • Report View Options: Full, Fit Page, Width Scale
  • Report Design using Databases & Queries
  • Get Cosmopolitan Certifications with Uncodemy

    Uncodemy's partnerships with esteemed organizations in the industry allow them to provide students with unparalleled access to some of the most accomplished trainers in the field. Upon successful completion of the Data Science and Machine Learning using Python certification course in Noida, participants will receive certificates in association with the following highly regarded organizations:

    • ISO
    • NASSCOM
    • Skill India

    Tools and Technologies covered

    • Excel

    • Tableau

    • Power-Bi

    • ggplot

    • Jupyter

    • Numpy

    • Python

    • Pandas

    • Seaborn

    • Looker

    • Matplotlib

    • PyCharm

    • Google Colab

    • Anaconda

    • NLTK

    • Scikit-learn

    • SQL

    • MySql

    • PostgreSQL

    • ML

    • Deep Learning

    • NLP

    Ace Your Interview With Uncodemy-

    Alongside their stellar Data Science and Machine Learning using Python training in Noida, Uncodemy equips students with the latest interview preparation strategies, providing them with the following resources:

    Know Uncodemy more-

    Uncodemy is not just all talk, but delivers on their promises. Many of their former students, who have completed their Data Science and Machine Learning using Python certification training in Noida, have achieved success in their careers with companies renowned for their strong growth trajectory. However, before selecting an Data Science and Machine Learning using Python course in Noida, it is essential to conduct thorough research and select a reputable training institute. Here are some key Data Science and Machine Learning using Python courses benefits in Noida that are worth considering:

    For a reason Uncodemy, is the best Data Science and Machine Learning using PythonTraining Institute in Noida, based out of Delhi NCR, India. Tutors employed in Uncodemy are from suppositious MNC’s to Startup’s that are well-thought of and are on the path of becoming the next big name.

    Uncodemy tied itself with Fortune 500 to have the finest experts to level up your game to become the next Data Science and Machine Learning using Python by providing personalised grooming sessions.

    Working Students and the students who are far residing can go for live sessions or online mode of classes, which are no different from the regular classroom training.Working Students and the students who are far residing can go for live sessions or online mode of classes, which are no different from the regular classroom training.

    Uncodemy understands its responsibility to provide the best Data Science and Machine Learning using Python training in Noida, by offering a provision of special batches to the students who want to start their professional journey ASAP.

    Apart from Ethical Hacking, Uncodemy also provides comprehensive courses of Data Science, Data Analytics, Full Stack Development, Python, Software Testing, Automation Testing, Business Analytics, Digital Marketing, AWS, Cloud Computing, Azure Training, Artificial Intelligence, Machine Learning, Manual Testing and Search Engine Optimisation.

    With Uncodemy, one can be easily placed in the companies like CISCO, Adobe, McKinsey and company, Teleperformance (each interaction matters), AWS, Collabera, Walmart, NTT Data, Deloitte, IBM, Capgemini, Centurylink, Quick Heal (security simplified), Morgan Stanley etc.

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    Uncodemy

    Access unparalleled learning with live sessions, recordings, assignments, and live projects led by a top-tier mentor and industry expert trainer. Elevate your skills with the best-in-class educational content.

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    Take a Closer Look at the World of Data Science and Machine Learning Using Python With Live projects

    Uncodemy, a leading Data Science and Machine Learning using Python training institute located in Noida, not only provides comprehensive theoretical knowledge about ethical hacking, but also offers hands-on experience through regular live projects, enabling students to gain a deeper understanding of the latest Data Science and Machine Learning using Python trends and developments. In addition, Uncodemy offers a variety of resources to support student learning, such as:

    Data Science and Machine Learning Using Python Classroom Training in Noida

    Uncodemy understands the importance of providing a state-of-the-art learning environment to its Data Science and Machine Learning using Python students in Noida. Here’s why the Data Science and Machine Learning using Python classes in Noida are equipped with the latest technologies and resources, including high-speed Wi-Fi, library resources, and interactive learning tools like whiteboards and projectors. Students also have access to experiential learning opportunities through field trips and engaging activities, fostering a holistic and dynamic learning experience. ...
    Uncodemy takes accessibility to a whole new level. Students have the option to raise a question or concern anytime, outside of class, and receive immediate assistance from a dedicated professional. Talk about convenience! Additionally, job-seeking students have access to recruitment incentives, making the journey to employment a little smoother.
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    Data Science and Machine Learning Using Python Live Session Training Course in Noida

    Uncodemy, the well established Data Science and Machine Learning using Python training institute in Noida, is all about giving aspiring Data Science And Machine Learning Using Python devs the ultimate flexibility. They offer both online Data Science and Machine Learning using Python course in noida and in-person classes, so students can learn from anywhere, anytime, in a way that suits their needs. Through Uncodemy's engaging live sessions, conducted by industry experts, learners can soak up all the knowledge they need to become Data Science and Machine Learning using Python gurus, no matter where they're based. ...
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    Live Project Work on Data Science and Machine Learning Using Python Training with Uncodemy

    At our reputed Data Science and Machine Learning using PythonCourse Institute in Noida, we believe that hands-on experience is a critical component of a well-rounded education. That's why our advanced Data Science and Machine Learning using Python training course in Noida includes opportunities for students to work on live projects. This allows them to apply the concepts they've learned in the classroom to real-world scenarios and gain practical experience in the field.
    By working on live projects, students can develop problem-solving skills, learn to work in teams, and build confidence in their abilities. They also gain valuable experience that can be added to their resumqes and portfolios, making them more attractive to potential employers. ...

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    These practical projects are undoubtedly valuable, but don't get it twisted - they are merely a means of refining one's abilities. They are not the sole determining factor in a candidate's success. Rather, these projects serve as a platform for constructive feedback, allowing participants to hone their Data Science and Machine Learning using Python expertise and cultivate a resilient mindset that can withstand the inevitable setbacks in the professional realm. Uncodemy, the unparalleled of Data Science and Machine Learning using Python training provider in Noida, recognizes the significance of these projects in equipping learners with the fortitude to conquer the tech world.

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    Data Science and Machine Learning Using Python Course in Noida with Placement

    Uncodemy Data Science and Machine Learning using Python training with placement in Noida not only equips students with the skills and knowledge needed to ace any interview, but also provides them with the opportunity for guaranteed placement. With our rigorous training and personalized support, we're confident that our students will be well-prepared to succeed in any interview situation. ...
    Upon completion of our Data Science and Machine Learning using Python training with placement in Noida, students will have the opportunity to work directly with our placement team to secure employment in their field of interest. Our team will work closely with each student to identify suitable job openings and provide guidance throughout the application and interview process.
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    Data Science and Machine Learning Using Python Interview Preparation

    Uncodemy’s Data Science and Machine Learning using Python training with placement in Noida, is designed to equip students with the skills and knowledge needed to excel in any interview. Whether you're interviewing for an entry-level position or a senior management role, our experienced instructors will provide you with comprehensive training and personalized feedback to help you confidently navigate the interview process. With our proven methods and hands-on exercises, you'll develop the critical skills necessary to showcase your abilities and stand out from the competition. By the end of the course, you'll have the confidence and expertise to ace any interview and secure the job you desire. ...
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    Data Science Machine Learning using Python Internship in Noida

    Uncodemy not only provides Data Science and Machine Learning using Python training in Noida, but also offers internship opportunities to their students, hence every candidate receives Data Science and Machine Learning using Python training with placement in Noida without putting extra efforts and finance. This allows individuals to gain hands-on experience in the industry while simultaneously enhancing their resumes. Upon completion of the internship, students receive a certification, which serves as a testament to their proficiency in Data Science and Machine Learning using Python and increases their competitiveness in the job market. It's a win-win situation for all involved! ...
    Uncodemy goes above and beyond by providing career guidance to their students. During their internships, students receive mentorship and participate in discussions on how to ace interviews with renowned companies. This mentorship helps students strategize and develop the necessary skills to stand out in the competitive job market. It's like having a personal job coach, but cooler!
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    Become a Data Scientist and Machine Learning Expert - Talk to Expert Counselor

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    What Else Does Uncodemy Focus On With Data Science and Machine Learning using PythonTraining In Noida Along With Placement Guarantee

    Uncodemy is more than just a purveyor of Data Science and Machine Learning using Python training in Noida; we’re a veritable treasure trove of IT courses! Data Science, Data Analytics, Software ... Testing, Full Stack Development, Automation Testing, Python, Digital Marketing, Angular, AWS, Business Analytics, Cloud Computing, Artificial Intelligence, Azure Training, Manual Testing, Machine Learning and Search Engine Optimization. The options are vast and varied. Uncodemy offers a smorgasbord of learning opportunities, catering to a wide range of interests and skill levels. It's a cornucopia of IT awesomeness!

    Uncodemy's Data Science and Machine Learning using Python training in Noida is renowned for its comprehensive approach, which includes high-quality content, hands-on experience through live projects, mentorship through one-on-one sessions, and regular webinars with industry experts. The program also includes multiple evaluations before the final assessment to ensure that students are well-prepared and confident in their abilities. This holistic approach has proven successful, with many students going on to successful careers in the field.

    The learning environment at Uncodemy is designed to be engaging and supportive, with a relaxed and casual atmosphere that prioritizes interactivity and positive relationships between students and instructors. This approach is intended to foster a positive and effective learning experience without sacrificing the quality of the training.
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    Why Pick Uncodemy For Data Science and Machine Learning using Python Training In Noida

    Uncodemy takes pride in its team of experienced trainers who lead the Data Science and Machine Learning using Python certification course in Noida. These trainers are carefully selected Uncodemy takes ... pride in its team of experienced trainers who lead the Data Science and Machine Learning using Python certification course in Noida. These trainers are carefully selected from a pool of highly skilled professionals, including experts from well-established MNCs and talented individuals from promising startups. Joining the Uncodemy community is not just about receiving high-quality training, but also about building a long-term relationship. Students have access to ongoing support and guidance, even after completing their coursework, at no additional cost.


    One of the key advantages of choosing Uncodemy for Data Science and Machine Learning using Python training in Noida is the flexibility it offers. The institute recognizes that not all students can attend classes in person, so it provides options for remote learners, including specialized online courses and customized scheduling. This makes it possible for students from various locations to benefit from Uncodemy's expertise and experience, regardless of their location or schedule constraints.

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    Trends in Data Science and Machine Learning using Python

    Some trends in the field of data science and machine learning using Python: ...

    • Increased adoption: Python is becoming increasingly popular for data science and machine learning, and more organizations are adopting it as their primary language for these tasks.
    • Growth of deep learning: Deep learning, a subset of machine learning, is growing in popularity, and Python is a popular language for deep learning thanks to libraries like TensorFlow and Keras.
    • Automation: Automation is becoming increasingly important in data science, and Python libraries like AutoML are making it easier to automate the model selection and tuning process.
    • Edge computing: Edge computing is growing in importance, and Python is being used to develop models that can run on devices and at the edge of networks.
    • Explainable AI: As AI becomes more prevalent in decision-making, there is a growing need for explainable AI that can provide insights into how models make decisions. Python libraries like LIME and SHAP are being used to provide explanations for machine learning models.
    • Increased demand for data scientists: The demand for data scientists with skills in Python and machine learning is increasing, as organizations seek to leverage data to gain insights and make better decisions.
    • Growth of AI: Artificial intelligence is a growing field, and Python is being used to develop AI systems in a range of domains, including healthcare, finance, and transportation.
    • Personalization: Personalization is becoming increasingly important, and Python is being used to develop recommendation systems and other personalized systems.
    • Internet of Things (IoT): The IoT is generating huge amounts of data, and Python is being used to analyze this data and develop predictive models.
    • Natural language processing (NLP): NLP is a growing field, and Python libraries like spaCy and NLTK are being used to develop NLP systems for tasks like sentiment analysis and machine translation.
    • Ethics and explainability: As AI becomes more prevalent, there is a growing focus on ethics and explainability in machine learning. Python libraries like Fairlearn are being used to assess and mitigate bias in machine learning models.
    • Cloud computing: Cloud computing is making it easier to access and analyze large datasets, and Python is being used to develop models and analyses in the cloud.
    • Time series analysis: Time series analysis is a growing field, and Python libraries like Prophet and statsmodels are being used to analyze and predict time series data.
    • Computer vision: Computer vision is a growing field, and Python libraries like OpenCV and Keras are being used to develop computer vision models for tasks like object recognition and image classification.
    • Federated learning: Federated learning is a machine learning technique that enables training of models across multiple devices, maintaining data privacy. Python is being used to develop federated learning systems.
    • Transfer learning: Transfer learning is a machine learning technique that involves transferring knowledge from one task to another, and it is becoming increasingly popular in fields like computer vision and NLP. Python is being used to develop transfer learning models.
    • Adversarial machine learning: Adversarial machine learning is a field that involves developing methods to defend against attacks on machine learning models. Python is being used to develop techniques for detecting and defending against these attacks.

    • Overall, Python is playing a critical role in the growth and development of data science and machine learning, and it is likely to remain a popular choice for these tasks in the future.

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    Jobs And Vacancies For Data Science and Machine Learning using Python In Noida

    After getting trained in data science and machine learning using ... Python certification course in Noida, there are several job profiles you could apply for, including:

    • Data Scientist: A data scientist analyzes data to extract insights and make predictions, and may be involved in tasks like building machine learning models, developing statistical analyses, and communicating results to stakeholders.
    • Machine Learning Engineer: A machine learning engineer develops machine learning models and systems, and may be involved in tasks like data preprocessing, model development, deployment, and monitoring.
    • Data Analyst: A data analyst cleans, transforms, and analyzes data to extract insights and inform decision-making, and may be involved in tasks like building dashboards, developing reports, and communicating results to stakeholders.
    • Data Engineer: A data engineer designs and builds systems for collecting, storing, and processing data, and may be involved in tasks like building data pipelines, developing databases, and optimizing data systems.
    • Business Intelligence (BI) Developer: A BI developer develops BI systems and tools to help organizations make data-driven decisions, and may be involved in tasks like building BI dashboards, designing data visualizations, and implementing BI solutions.
    • Research Scientist: A research scientist conducts research in data science and machine learning, and may be involved in tasks like developing new algorithms, publishing research papers, and collaborating with other researchers.
    • AI Engineer: An AI engineer develops AI systems and solutions, and may be involved in tasks like building chatbots, implementing computer vision systems, and integrating AI into products and services.
    • Analytics Manager: An analytics manager leads a team of data analysts or data scientists, and may be involved in tasks like managing projects, communicating with stakeholders, and making data-driven decisions.
    • Data Architect: A data architect designs and implements data management systems, and may be involved in tasks like defining data models, integrating data sources, and ensuring data quality.
    • Data Journalist: A data journalist uses data to tell stories and uncover insights, and may be involved in tasks like collecting and analyzing data, creating data visualizations, and communicating findings to the public.
    • Data Product Manager: A data product manager oversees the development and management of data-driven products and services, and may be involved in tasks like defining product strategy, managing product roadmaps, and making data-driven decisions.
    • Data Scientist in Residence: A data scientist in residence is a data scientist who works with a startup or other organization on a temporary basis, typically to help them build data-driven products or services.
    • Quantitative Researcher: A quantitative researcher uses mathematical and statistical methods to analyze data and make predictions, typically in the finance or insurance industries.
    • Actuary: An actuary uses statistical and financial modeling to assess risk and make predictions, typically in the insurance or finance industries.
    • Statistician: A statistician develops statistical models and analyses to extract insights from data, typically in fields such as healthcare, social science, or market research.
    • Machine Learning Researcher: A machine learning researcher conducts research to develop new machine learning algorithms and techniques.
    • Healthcare Data Scientist: A healthcare data scientist uses data science techniques to analyze healthcare data and improve patient outcomes
    • Education Data Scientist: An education data scientist uses data science techniques to analyze education data and improve educational outcomes.
    • Computer Vision Engineer: A computer vision engineer develops computer vision systems and solutions, typically using machine learning techniques.
    • Robotics Engineer: A robotics engineer designs and builds robots, typically using machine learning and other AI techniques to enable the robots to sense and respond to their environment.

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    Salary Packages For Data Science and Machine Learning using Python In Noida

    The salary packages for data science and machine learning using Python ... in Noida can vary widely, but here are some general trends:

    • Entry-level data scientists or machine learning engineers can expect a salary range of around 3.9 lakhs to 8 lakhs per annum.
    • Mid-level data scientists or machine learning engineers can expect a salary range of around 8 lakhs to 15 lakhs per annum.
    • Senior-level data scientists or machine learning engineers can expect a salary range of around 15 lakhs to 25 lakhs per annum.
    • These figures are approximate and can vary based on factors such as the company, level of experience, and specific skills and qualifications of the candidate.
    It's worth noting that the data science and machine learning job market in India, including in Noida, is rapidly growing and changing, and these salary ranges may fluctuate according to the industries and companies. Here’s why getting into an advanced data science and machine learning using python training course in Noida will help you out in understanding the market and industry related trends more briefly.

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    India’s Growing Demand For Skilled Professionals In Data Science and Machine Learning using Python Training In Noida

    The demand for skilled professionals in data science and machine learning is growing rapidly in India, including in Noida. As more and more companies recognize the value of data-driven decision making ... and automation, they are seeking professionals with the necessary skills and knowledge to help them leverage these technologies.


    The government of India has also recognized the importance of data science and machine learning, and has launched various initiatives to promote the growth of these fields in the country, such as the National Program on Artificial Intelligence (NPAI) and the National Skill Development Mission (NSDM). These initiatives aim to upskill India's workforce in these fields and to create a robust ecosystem of data science and machine learning experts in the country.

    The growing demand for professionals in these fields has also led to an increase in the number of training programs and courses being offered in India, including in Noida, to help individuals upskill and prepare for careers in data science and machine learning. These programs can range from short-term bootcamps to longer-term degree programs, and can be offered by universities, colleges, and private training institutes.

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    Some more interesting facts about India's growing demand for skilled professionals in data science and machine learning:

    According to a report by NASSCOM, the demand for data science and AI professionals in India is expected to grow by 2 million. ...

    • The average salary for data scientists in India is around 11.5 lakhs per annum, which is higher than the average salary for software engineers in the country.
    • Many Indian startups and companies are also investing in data science and machine learning, and are actively hiring for these roles.
    • The government of India has launched various initiatives to promote the use of data science and machine learning in various sectors such as healthcare, education, and agriculture.
    • Indian universities and colleges have also started offering various undergraduate and postgraduate programs in data science and machine learning, to cater to the growing demand for skilled professionals in these fields.
    • Some of the major companies hiring for data science and machine learning roles in India include TCS, Infosys, Wipro, HCL, and Accenture, as well as startups like Swiggy, Ola, and Paytm.

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    Curriculum For Data Science and Machine Learning using PythonCourse In Noida

    Some common topics that are typically covered in a data science and machine learning using Python course curriculum in Noida: ...

    • Python programming fundamentals
    • Data analysis using Python libraries such as NumPy and pandas
    • Data visualization using libraries such as matplotlib and Seaborn
    • Machine learning concepts and algorithms, such as regression, classification, clustering, and dimensionality reduction
    • Natural language processing (NLP) using libraries such as NLTK and spaCy
    • Deep learning using libraries such as TensorFlow and Keras
    • Big data analytics using libraries such as Apache Spark
    • Databases and data warehousing
    • Ethics and responsible use of data science and machine learning
    • Hands-on projects and case studies to apply the concepts learned in the course
    • Best practices for data science and machine learning, such as version control, testing, and deployment
    • Our data science and machine learning using python course syllabus in Noida also covers additional topics such as statistics, probability, and mathematical optimization, enrol yourself today to get the latest information.

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    Course And Fees Duration

    Our Data Science and Machine Learning using Python boot camp in Noida is crafted to provide a comprehensive and engaging learning experience that fits your schedule. You'll have access to self-paced, online ... materials and hands-on exercises that will help you master the ins and outs of ethical hacking, all in just the span of 3 months. Our experienced instructors will be there to support you every step of the way, providing personalized feedback and guidance. Oh, and did we mention that our prices are unbeatable? You get all this for a mere ₹25K, and that's before any discounts are factored in. You'll have access to self-paced, online materials and hands-on exercises that will help you master the ins and outs of ethical hacking, all in just the span of 3 months. Our experienced instructors will be there to support you every step of the way, providing personalized feedback and guidance. Oh, and did we mention that our prices are unbeatable? You get all this for a mere ₹25K, and that's before any discounts are factored in.


    Go through the list of Data Science and Machine Learning using Python course benefits in Noida, one can relish in just ₹25,000-

    • Begin from the ground up and construct a rock-solid foundation for your Data Science and Machine Learning using Python proficiency.
    • Earn internationally recognized certifications instantaneously.
    • Affordable courses that pack a punch.
    • Dedicated one-on-one sessions to optimize your learning.
    • Tailor-made boot camps for a personalized experience.
    • Convenient payment options, including installment plans.

    . Special batches where students, who want to start career faster can conclude their training in the span of four months too.

    . The duration of courses can be as less as 3 months and can extend till 6 months based on the various subjects comes under the Data Science course.
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    Get Industry Expert Trainers for Data Science and Machine Learning using Python Training in Noida

    Industry expert trainers can bring a wealth of knowledge and real-world experience to candidates who opt for Uncodemy’s Data Science and Machine Learning using Python training course in Noida that provides students ... with valuable insights and practical skills that can help them succeed in their careers. These trainers often have years of experience working in the IT and networking industries, and they can provide students with a deep understanding of the latest technologies, trends, and best practices.


    Industry expert trainers can also help students make connections and build professional networks, which can be invaluable for finding job opportunities and advancing their careers. Additionally, they can provide mentorship and guidance to students, helping them navigate the industry and make informed decisions about their career paths.

    Furthermore, our instructors are dedicated to helping students succeed. They provide individualized attention and support, working with each student to help them master the concepts and techniques they need to become proficient in Data Science and Machine Learning using Python . At our institution, we believe that learning from industry experts is essential to providing our students with the highest quality education possible. With our team of experienced instructors, we are confident that we can provide our students with the skills and knowledge they need to succeed in their careers.

    Additionally, our institution provides students with access to state-of-the-art facilities and resources, including the latest versions of Data Science and Machine Learning using Python software and industry-standard tools and equipment. This allows students to gain practical experience using the same tools and technologies they will encounter in the workplace.

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    Internhip And Certifications In Data Science and Machine Learning using PythonTraining In Noida Under Uncodemy

    At Uncodemy, we believe that financial barriers should not prevent students from accessing high-quality education and pursuing their career goals. That's why we offer scholarships to eligible students who enroll ... in our Data Science and Machine Learning using Python certification course in Noida. These scholarships are designed to provide financial assistance to students who demonstrate financial need and academic merit.


    Our certifications cover a range of topics, from network administration and security to cloud computing and data center management. Students who complete our training program and earn these certifications will be well-prepared to pursue successful careers in the IT and networking industries.

    In addition to scholarships, we also offer certifications in association with renowned organizations such as NASSCOM, Skill India, and ISO. These certifications provide students with industry-recognized credentials that can help them stand out in the job market and demonstrate their expertise in Data Science and Machine Learning using Python.

    We believe that by providing scholarships and certifications, we can help make quality education more accessible and empower students to achieve their professional goals. If you're interested in pursuing a career in Data Science and Machine Learning using Python and want to take advantage of our scholarship and certification opportunities, we encourage you to learn more about our training program and how to apply.

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    Work On Live Projects In Data Science and Machine Learning using PythonTraining With Uncodemy

    At our reputed Data Science and Machine Learning using PythonCourse Institute in Noida, we believe that hands-on experience is a critical component of a well-rounded education. That's why our advanced Data ... Science and Machine Learning using Python training course in Noida includes opportunities for students to work on live projects. This allows them to apply the concepts they've learned in the classroom to real-world scenarios and gain practical experience in the field.


    By working on live projects, students can develop problem-solving skills, learn to work in teams, and build confidence in their abilities. They also gain valuable experience that can be added to their resumes and portfolios, making them more attractive to potential employers.

    Our live projects cover a range of topics, from network design and implementation to network security and automation. Students work under the guidance of experienced instructors and have access to the latest tools and technologies used in the industry.

    We believe that by providing students with practical experience through live projects, we can better prepare them for successful careers in the Data Science and Machine Learning using Python field. If you're interested in gaining hands-on experience and taking your Data Science and Machine Learning using Python skills to the next level, consider enrolling in our training program today.

    These practical projects are undoubtedly valuable, but don't get it twisted - they are merely a means of refining one's abilities. They are not the sole determining factor in a candidate's success. Rather, these projects serve as a platform for constructive feedback, allowing participants to hone their Data Science and Machine Learning using Python expertise and cultivate a resilient mindset that can withstand the inevitable setbacks in the professional realm. Uncodemy, the unparalleled of Data Science and Machine Learning using Python training provider in Noida, recognizes the significance of these projects in equipping learners with the fortitude to conquer the tech world.

    It's worth noting that due to the popularity of Uncodemy’s Data Science and Machine Learning using Python course with placement in Noida, seats may be limited, and interested individuals are encouraged to enroll early to secure their place. By doing so, they can gain the skills and knowledge necessary to succeed in the Data Science and Machine Learning using Python field and achieve professional success. In conclusion, individuals looking to enhance their skills and advance their careers in Data Science and Machine Learning using Python should consider enrolling in the Data Science and Machine Learning using Python certification course in Noida in a respected institution like Uncodemy.

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    Frequently Asked Questions

    If you're looking to excel in Data Science and Machine Learning Using Python and become a well-rounded, experienced candidate who can handle any situation, then Uncodemy is the place for you. We provide industry-relevant training, hands-on experience with live projects, interview preparation, and regular grooming sessions. With our help, one will be ready to take on any challenge in the Data Science and Machine Learning Using Python field.

    The course fee for Data Science and Machine Learning Using Python courses in Noida can vary a lot, depending on the institute, the curriculum, and the duration of the course. Generally, fees range from around ₹40,000 to ₹1,00,000 or more. Some factors that can affect the fee include whether the course is classroom-based or online, the quality of the institute, the certification provided, and the type of learning materials and resources provided. It's worth nothing that some institutes may also offer payment plans or financial assistance options, so be sure to inquire about these if the fee is a concern. And with Uncodemy one can enjoy all the luxurious benefits of a high end course by paying just a few buck.

    While it's possible to learn the basics of Data Science and Machine Learning Using Python in three months, becoming a full-fledged Data Science and Machine Learning Using Python will likely take longer. A Data Science and Machine Learning Using Python needs to be able to not only analyze and clean data, but also understand the business context of the data and be able to communicate their findings to stakeholders. So while one can get started in three months, becoming a successful Data Science and Machine Learning Using Python will likely take more time and effort. It's important to be realistic about the time commitment needed to become a Data Science and Machine Learning Using Python, but don't let that discourage you from starting your journey as Uncodemy not only provides comprehensive courses of Data Science and Machine Learning Using Python but also provides lifetime assistance to make you a successful Data Science and Machine Learning Using Python in today's competitive world.

    Based on the research, the salary of a Data Science and Machine Learning Using Python in Noida can vary quite a bit, but the average salary seems to be around ₹1,008,032 per year. Of course, this is just an average and there are many factors that can affect a Data Science and Machine Learning Using Python's salary, such as experience, skills, and the specific company they work for. For example, Data Science and Machine Learning Using Pythons with more experience and specialized skills, such as machine learning or natural language processing, may earn higher salaries. Additionally, Data Science and Machine Learning Using Pythons who work for large tech companies or in high-demand industries may also earn higher salaries. And you will be relieved to know that along with providing certification courses to the students, Uncodemy also guarantees 100% placements in top reputed companies to help students kick start their career as a successful Data Science and Machine Learning Using Python with a sufficient salary package.

    Absolutely! Data Science and Machine Learning Using Python is a field that's still growing and evolving, so there's a lot of potential for Data Science and Machine Learning Using Pythons to make an impact in the future. As more businesses and organizations rely on data to make decisions, the demand for skilled Data Science and Machine Learning Using Pythons will only increase. Additionally, as the tools and techniques used in Data Science and Machine Learning Using Python continue to evolve, so will the role of the Data Science and Machine Learning Using Python. It's likely that the skills needed to be a successful Data Science and Machine Learning Using Python will continue to change and develop, and those who are able to adapt and stay up-to-date will have a bright future in the field. So don't hold yourself anymore and start the Data Science and Machine Learning Using Python training course in Noida provided by Uncodemy today.

    The syllabus of a Data Science and Machine Learning Using Python course will cover topics such as statistics, linear algebra, programming, probability, cloud computing, and machine learning. The exact topics and depth of coverage will vary from course to course, but these are some of the key areas that are typically covered. Statistics and linear algebra are important for understanding and working with data, while programming is necessary for building and running data science models. Probability and cloud computing are also important topics, as they are often used in Data Science and Machine Learning Using Python applications. And with the help of our industry expert tutors you will be proficient in every topic that is necessary to become a Data Science and Machine Learning Using Python with the smooth grasp on trendy aspects of Data Science and Machine Learning Using Python.

    Based on the research, there are a few key trends in the data science job market in Noida. One is that there is a high demand for Data Science and Machine Learning Using Pythons with specific skillsets, such as expertise in machine learning, natural language processing, and cloud computing. There is also a growing demand for Data Science and Machine Learning Using Pythons who can work with big data and who have strong business acumen. Additionally, many companies are looking for Data Science and Machine Learning Using Pythons who can work with a variety of data sources and who can effectively communicate their findings to non-technical stakeholders. Don't worry because a comprehensive certification course will teach everything that is required to become a successful data scientist and there is no other institute than Uncodemy who can do this better.

    There are no hard and fast rules about who is eligible for a data science course, but there are certain prerequisites that can help you succeed. First, you should have a strong foundation in mathematics and statistics, as these are the basis for many data science techniques. Additionally, you should have some programming experience, as Data Science and Machine Learning Using Python involves working with data using programming languages like Python or R. Finally, you should be curious and analytical, as Data Science and Machine Learning Using Python involves digging into data to find patterns and insights. If you have these skills and qualities, you're a good candidate for a data science course.

    Based on the research, the lowest salary for a Data Science and Machine Learning Using Python in India is around ₹5,77,893 per year. This is the entry-level salary for Data Science and Machine Learning Using Pythons in India and it can vary based on a number of factors, such as experience, location, and the company you work for. With more experience and skills, you can expect to earn a higher salary as a Data Science and Machine Learning Using Python in India. Additionally, Data Science and Machine Learning Using Pythons who work in major cities like Mumbai or Bangalore tend to earn higher salaries than those in smaller cities. And Uncodemy tied itself with Fortune 500 to have best of the industry expert tutors to guide you how you can place yourself in your dream company with easy.

    If you're interested in starting a Data Science and Machine Learning Using Python course in Noida, the first step is to determine what kind of program you want to enrol in. There are many different options available, such as short-term courses, full-time degrees, and online programs. Once you've decided on a program, you'll need to meet the eligibility criteria, which may include having a certain level of education or experience. After that, you'll need to apply for the program and meet any other requirements, such as submitting transcripts or taking an entrance exam. And you will be glad to know that Uncodemy is suffused with plenty of facilities for the students who are looking for a Data Science and Machine Learning Using Python course but are confused how to take necessary steps to start one, so without further ado participate in the Data Science and Machine Learning Using Python boot camp in Noida conducted by Uncodemy.

    Yes, Data Science and Machine Learning Using Python skills are in high demand and that demand is expected to continue to grow in 2023. Companies in a wide range of industries are looking for qualified Data Science and Machine Learning Using Pythons to help them analyze and make use of the massive amounts of data they're collecting. This need for skilled Data Science and Machine Learning Using Pythons is expected to create over 11 million job openings by 2023. So, if you're looking to start or advance your career in Data Science and Machine Learning Using Python, now is an excellent time to do so. With the right skills and experience, you'll be able to find a wide range of job opportunities in the coming years. And what's better than knowing the latest modules of Data Science and Machine Learning Using Python with the experts you will be engaging with while training at Uncodemy, who are already working in the industry hence can give you a closer insight of the companies you want to work in.

    Yes, freshers can get a job in Data Science and Machine Learning Using Python, but it may be a bit more challenging than for someone with more experience. Freshers will need to have strong technical skills, such as knowledge of data analysis tools and programming languages which they can easily master with the help of industry expert trainers of Uncodemy. They'll also need to have strong communication and problem-solving skills. Additionally, it's important for freshers to network and build relationships with professionals in the field. With the right skills and a bit of patience, it's definitely possible for freshers to find a job in Data Science and Machine Learning Using Python.

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