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Why Choose a Data Science course? & What will you gain?

What will you gain ?

Choose Uncodemy's data science course for expert instructors, hands-on projects, and comprehensive coverage of Python, machine learning, and analytics. Benefit from personalized mentorship and real-world applications to boost your career.


Why Choose a Data Science Course ?

  • High Demand: Data scientists are in high demand across various industries, offering strong job prospects and career growth.
  • Lucrative Salaries: Data science roles often come with attractive salary packages and benefits.
  • Skill Development: Gain expertise in programming languages like Python and R, as well as data analysis, machine learning, and visualization techniques.
  • Career Flexibility: Data science skills are applicable in diverse fields such as finance, healthcare, marketing, and technology.
  • Hands-On Experience: Courses often include practical projects and case studies, providing real-world experience.
  • Problem Solving: Develop the ability to analyze complex data sets and make data-driven decisions that solve business problems.
  • Innovation Opportunities: Work on cutting-edge technologies and contribute to advancements in AI and machine learning.
  • Networking: Connect with industry professionals, mentors, and peers to expand your professional network.
  • Continuous Learning: Stay updated with the latest trends and tools in the ever-evolving field of data science.
  • Career Advancement: Enhance your qualifications and open doors to advanced roles and leadership positions in data science.

Why Choose Uncodemy's Data Science Course in Lucknow?

Choosing a data science course in Lucknow offers numerous benefits:

  • High Demand: Data science skills are increasingly sought after across industries, ensuring strong job prospects.
  • Comprehensive Curriculum: Courses cover essential topics like machine learning, data visualization, and statistics.
  • Practical Experience: Hands-on projects provide real-world experience, enhancing your resume.
  • Expert Guidance: Learn from industry professionals with valuable insights and mentorship.
  • Networking Opportunities: Connect with peers and industry leaders, expanding your professional network.
  • Career Growth: Data science roles often come with lucrative salaries and advancement opportunities.

Investing in a data science course can set you on a rewarding career path!

Salient Hallmarks of Joining Uncodemy

Joining Uncodemy for data science means learning from top experts, engaging in hands-on projects, receiving personalized mentorship, and accessing cutting-edge resources. Enjoy flexible learning options and robust career support.

Here are some salient hallmarks of joining Uncodemy:

Experienced Instructors.
Hands-On Projects.
Comprehensive Curriculum.
Flexible Learning Options.
Job Placement Assistance.
State-of-the-Art Infrastructure.
Industry-Recognized Certifications.
Affordable Pricing.
Personalized Support.
Lifetime Access.
Networking Opportunities.
Continuous Learning.
Skill-Based Learning.
Career Counseling.
Positive Learning Environment.

Joining Uncodemy equips you with the skills and support needed to succeed in the data science field!

Interactive Data Science Classes in Lucknow

Interactive data science classes in Lucknow offer an engaging learning experience, blending theory with hands-on practice. Here’s what you can expect:

  • Live Projects: Work on real-world datasets to apply concepts in practical scenarios.
  • Collaborative Learning: Participate in group discussions, coding sessions, and peer reviews to enhance understanding.
  • Expert-Led Sessions: Learn from experienced instructors who provide insights and guidance throughout the course.
  • Workshops and Seminars: Attend sessions focused on specific tools and techniques in data science, fostering deeper exploration.
  • Personalized Feedback: Receive constructive feedback on your projects and assignments to help you improve.
  • Q&A Sessions: Regular opportunities to ask questions and clarify doubts in an interactive environment.

These features make data science classes in Lucknow not only informative but also enjoyable and effective!


Curriculums for Data Science Training Course in Lucknow

Data Science Curriculum

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

time
150+

Hours of Content

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90+

Live Sessions

tools
15+

Tools and Software

Set the Basics Right

Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. For example, finance companies can use a customer's banking and bill-paying history to assess creditworthiness and loan risk.

Data science course provider of Lucknow called Uncodemy offers a curriculum that contains following courses to strengthen your skill in Data Science-

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
  • 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 your Data Scientist Certification in Lucknow

    Get your Data Science certification in Lucknow and enhance your career prospects! This certification validates your skills in data analysis, machine learning, and statistical modeling, making you a valuable asset in today’s data-driven job market.

    Here are four key benefits of choosing Uncodemy:
    • Skill Validation: Demonstrates your expertise to potential employers.
    • Career Advancement: Opens doors to better job opportunities and higher salaries.
    • Hands-on Experience: Learn through projects that reinforce practical skills.
    • Industry Recognition: Gain a credential that is respected in the field.
    Tools and Technologies covered
    • image-excelExcel
    • image-tablueTableau
    • Power-BI-SymbolPower-Bi
    • image-ggpltggplot
    • image-jupitorJupyter
    • image-numyNumpy
    • image-pythonPython
    • image-pandasPandas
    • image-lookerLooker
    • Matplotlib-logoMatplotlib
    • image-gColabGoogle Colab
    • image-sqlSQL
    • image-mysqlMySql
    • image-machineLearningML

    Specialized in Data Science Courses in Lucknow

    Lucknow offers a variety of specialized data science courses tailored to enhance your skills in specific areas. You can pursue a Machine Learning Specialization, focusing on algorithms and real-world applications. Data Analytics for Business teaches you to leverage data for strategic decisions using tools like Tableau and Excel. For those interested in AI, a Deep Learning Certification covers neural networks with practical projects. Additionally, Natural Language Processing (NLP) courses delve into text analysis and sentiment detection. Explore Big Data Technologies to master tools like Hadoop and Spark, or enhance your skills in Data Visualization Techniques to effectively present insights.

    How Uncodemy Helps Every Student Acing Their Interview

    Uncodemy provides comprehensive support to help students ace their interviews, including: These resources ensure that students are well-equipped to succeed in their job interviews!

    Introducing Uncodemy

    Industry-Driven Curriculum: Courses are designed to reflect current industry standards and practices, ensuring relevant and applicable skills.

    Expert Faculty: Learn from experienced instructors with real-world experience in data science, providing valuable insights and mentorship.

    Hands-On Projects: Engage in practical projects that reinforce learning and build a strong portfolio to showcase to potential employers.

    Career Support: Receive assistance with resume building, interview preparation, and job placement, enhancing your chances of securing a role.

    Flexible Learning Options: Choose from various schedules, including weekend and evening classes, to accommodate your personal commitments.

    Networking Opportunities: Connect with peers, industry professionals, and alumni, expanding your professional network in the data science field.

    These benefits make Uncodemy a great choice for aspiring data scientists in Lucknow!

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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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    Get a Real World Understanding Through Industry Projects
    Uncodemy

    We Provide EMI Facility for You

    Nothing Stops you from Learning

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    Get the Closest Insight of Data science Industry with the Live Projects

    Gain unparalleled insight into the data science industry with Uncodemy’s live projects. Our courses integrate real-world projects that mirror industry challenges, providing hands-on experience with actual data sets and scenarios. By working on live projects, you’ll tackle practical problems, apply advanced analytics, and use cutting-edge tools, giving you a closer look at industry practices and trends. This immersive approach helps you build a robust portfolio, enhance your problem-solving skills, and understand the intricacies of data-driven decision-making. At Uncodemy, these live projects bridge the gap between theoretical knowledge and practical application, preparing you for success in the dynamic data science field.

    Classroom
    Data scientist Classroom Training in Lucknow
    Data Science classroom training in Lucknow offers an immersive learning experience tailored for aspiring data professionals. Here’s what you can expect:
    Key Features:
    • Comprehensive Curriculum: Covering essential topics such as machine learning, data analysis, and data visualization.
    • Hands-On Experience: Engage in practical projects and exercises using real datasets to reinforce learning.
    ...
    • Expert Instructors: Learn from industry professionals who share their insights and experiences, enhancing the educational journey.
    • Interactive Learning Environment: Participate in discussions, group activities, and Q&A sessions to foster collaboration and engagement.
    • Flexible Scheduling: Options for weekend and evening classes to accommodate various lifestyles.
    Read more
    Data scientist Live Session Training Course in Lucknow
    The Data Science Live Session Training Course in Lucknow offers an interactive and dynamic learning experience for aspiring data scientists. This course features real-time instruction from industry experts, allowing participants to engage directly and ask questions as they learn. Covering essential topics such course is ideal for those seeking to enhance their data science skills while balancing other commitments. Enroll today to jumpstart your career!... as machine learning, data visualization, and statistical analysis, the curriculum is designed to provide practical skills through hands-on projects. Participants will also benefit from collaborative exercises and group discussions, fostering a supportive learning environment. With flexible scheduling options, this Read more
    Live Session
    Live Project
    Live Project Work on Data scientist Training with Uncodemy
    Uncodemy’s Data Scientist Training includes comprehensive live project work that equips students with practical, real-world experience. Participants engage in hands-on projects that cover critical aspects of data science, from data collection and cleaning to analysis and visualization. This immersive approach allows students to apply theoretical concepts in a practical setting, enhancing their problem-solving skills. ... Working with actual datasets, learners gain valuable insights into industry practices and challenges, preparing them for future roles. Additionally, mentorship from experienced instructors during project work ensures that students receive guidance and feedback, fostering confidence and competence in their data science capabilities. Read more
    Data science Course in Lucknow with Placement
    The Data Science course in Lucknow with placement assistance is designed to provide students with the necessary skills to thrive in the field while also facilitating job opportunities. This comprehensive program covers key topics such as machine learning, data analysis, statistics, and data visualization, ensuring a strong foundation in data science.
    Key benefits
    • Industry-Relevant Curriculum: Learn the latest tools and technologies used in data science.
    • Hands-On Training: Engage in live projects and practical exercises to apply learned concepts.
    ...
    • Expert Instructors: Receive guidance from experienced professionals with real-world industry experience.
    • PlacementSupport:Benefitfromresume-buildingworkshops,interviewpreparation,and connections with leading companies.
    • Networking Opportunities: Interact with peers and industry experts, expanding your professional network.
    Read more
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    iNTERVIEWS
    Data scientist Interview preparation
    By combining comprehensive training with placement assistance, this course aims to equip students for successful careers in data science. Enroll today to secure your future in this rapidly growing field!
    Data science interview preparation is crucial for securing a position in this competitive field. Start by familiarizing yourself with common interview questions that cover topics such as statistical concepts, machine learning algorithms, and data manipulation techniques. Practice coding problems in languages like Python or R to demonstrate your technical skills. ... Engage in mock interviews to build confidence and receive feedback. Be ready to discuss your projects—highlight your role, methodologies used, and the impact of your work.
    Additionally, brush up on data visualization techniques and tools like Tableau or Matplotlib, as interviewers often seek practical knowledge. Finally, research the company’s domain and data challenges to tailor your responses. A well-rounded preparation strategy will enhance your chances of success in data science interviews!
    Read more
    Data science Internship in Lucknow
    Data science internships in Lucknow provide a valuable opportunity for students and recent graduates to gain hands-on experience in the field. These internships typically involve working on real-world projects that enhance your skills in data analysis, machine learning, and statistical modeling.
    • Practical Experience: Work on live projects that involve data collection, cleaning, and analysis, giving you practical insights into industry practices.
    • Mentorship: Gain guidance from experienced professionals who can help you navigate challenges and enhance your learning.
    ...
    • Skill Development: Improve your technical skills in programming languages like Python and R, as well as tools like SQL, Tableau, and TensorFlow.
    • Networking Opportunities: Connect with industry professionals and fellow interns, expanding your professional network.
    • Career Advancement: Internships often lead to full-time job offers or provide strong references for future employment opportunities.

    Explore local companies and institutions in Lucknow to find internship openings that match your career aspirations!

    Read more
    Internship

    Become a Data Scientist - Talk to Expert Counselor

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    Enroll in Our Data Scientist course in Lucknow Today!

    Enroll in our Data Scientist course in Lucknow today and take the first step towards a rewarding career in data science! Our comprehensive program covers essential topics such as machine learning, data analysis, and statistical modeling, providing you with the skills needed to excel in the field.

    Why Enroll?

    Expert Instruction: Learn from experienced industry professionals. Hands-On Experience: Engage in real-world projects to apply your knowledge. Placement Assistance: Benefit from dedicated support to help you secure a job after completion. Don’t miss this opportunity to enhance your skills and boost your career prospects. Join us now and start your journey in data science!

    Get Industry Expert Trainers for Data scientist Training in Lucknow

    At Uncodemy, we provide access to industry expert trainers for our Data Scientist training in Lucknow. Our instructors bring extensive real-world experience, having worked with leading companies across various sectors. ... They deliver insights into the latest tools and technologies, ensuring that students gain relevant knowledge. Through interactive sessions, hands-on projects, and personalized mentorship, trainers help students master complex concepts and develop practical skills. This expert guidance not only enhances learning but also prepares participants for the challenges they will face in the industry. Enroll today to learn from the best and equip yourself for a successful career in data science! Read more

    What else does Uncodemy focus on with Data science Course in Lucknow with placement?

    Uncodemy focuses on several key aspects in their Data Science course in Lucknow with placement assistance:...
    • Comprehensive Curriculum: The course covers a wide range of topics, including machine learning, data visualization, statistics, and big data technologies, ensuring a well-rounded education.
    • Practical Learning: Emphasis on hands-on projects and real-world case studies allows students to apply theoretical knowledge in practical scenarios.
    • Soft Skills Development: Training includes communication, teamwork, and problem-solving skills, essential for success in collaborative work environments.
    • Career Guidance: Regular workshops on resume building, interview preparation, and job search strategies help students navigate the job market effectively.
    • Networking Opportunities: Students get the chance to connect with industry professionals and alumni, enhancing their professional network.
    • Continuous Support: Uncodemy provides ongoing assistance even after course completion, ensuring students have access to resources and guidance as they pursue job opportunities.
    • This holistic approach equips students with both technical skills and essential soft skills for a successful career in data science.

    Read more

    Why choose Uncodemy for Data science course in Lucknow ?

    Choose Uncodemy for your Data Science course in Lucknow for its comprehensive curriculum tailored to industry needs. Learn from experienced instructors who provide real-world insights and hands-on ... training through practical projects. Benefit from dedicated placement assistance, ensuring you’re well-prepared for job interviews. Additionally, enjoy flexible scheduling options and a supportive learning environment that fosters growth. With a focus on both technical skills and soft skills, Uncodemy equips you for a successful career in data science. Enroll today! Read more

    Data science trends in Lucknow

    Data science trends in Lucknow are evolving rapidly, reflecting the growing demand for data-driven decision-making across various industries. Here are some key trends: ...
    • Increased Demand for Skilled Professionals: With businesses recognizing the value of data, there’s a rising need for skilled data scientists and analysts in sectors like healthcare, finance, and e-commerce.
    • Focus on Machine Learning and AI: Companies are increasingly adopting machine learning and artificial intelligence to enhance their operations, driving demand for training in these areas.
    • Data Analytics in Startups: The startup ecosystem in Lucknow is thriving, with many leveraging data analytics to gain competitive advantages.
    • Integration of Big Data Technologies: More organizations are utilizing big data tools like Hadoop and Spark to manage and analyze large datasets efficiently.
    • Emphasis on Data Visualization: There’s a growing recognition of the importance of data visualization tools like Tableau and Power BI for effective communication of insights.
    • Remote Work Opportunities: The trend towards remote work has opened up more opportunities for data professionals in Lucknow, allowing them to collaborate with global teams.

    These trends highlight the dynamic landscape of data science in Lucknow, making it an exciting time to pursue a career in this field.

    Read more

    Salary packages for Data scientist in Lucknow

    Salary packages for data scientists in Lucknow vary based on experience, skills, and the hiring organization. Here’s a general overview: ...
    • Entry-Level (0-2 years): ₹4 to ₹6 lakhs per annum. Fresh graduates or those with internship experience typically fall into this range.
    • Mid-Level (2-5 years): ₹6 to ₹12 lakhs per annum. Professionals with some experience and specialized skills can expect higher packages.
    • Senior-Level (5+ years): ₹12 to ₹20 lakhs per annum or more. Experienced data scientists with advanced expertise in machine learning, big data, or AI can command top salaries.
    • Freelance/Consultant: Freelancers may charge on a project basis, often earning competitive rates based on their expertise.

    Overall, the demand for data scientists continues to grow, potentially driving salaries higher as companies recognize the value of data-driven decision-making.

    Read more

    Data science Fees and course duration

    The fees and course duration for data science programs can vary widely based on the institution and the specific offerings. Here’s a general overview for data science courses in Lucknow: ...

    Fees:

    • Short-Term Courses: ₹15,000 to ₹30,000 for a few weeks to a couple of months.
    • Comprehensive Courses: ₹30,000 to ₹80,000 for programs lasting 3 to 6 months.
    • Advanced or Specialized Courses: ₹80,000 to ₹1,50,000 for 6 months to a year, especially if they include additional features like live projects or placement assistance.

    Course Duration:

    • Certification Programs: Typically last 1 to 3 months.
    • Diploma Courses: Usually span 3 to 6 months.
    • Advanced Degrees or Professional Programs: Can last from 6 months to a year.

    Always check with the specific institution for detailed information on fees and duration, as these can vary based on the course structure and additional resources provided.

    Read more

    Scholarship and certifications in Data scientist training in Lucknow under Uncodemy

    Uncodemy offers scholarship opportunities for students pursuing Data Scientist training in Lucknow, making quality education more accessible. These scholarships are designed to support deserving candidates based on merit and financial need, helping to reduce the overall cost of the program. Additionally, ... upon completion of the course, students receive recognized certifications that validate their skills and knowledge in data science. This certification enhances employability and serves as a valuable credential in the job market. With a focus on practical training and expert instruction, Uncodemy ensures that students are well-equipped for successful careers in the ever-growing field of data science. Read more

    Work on live projects in Data science with Uncodemy

    At Uncodemy in Lucknow, students engage in live projects as a core component of the Data Science training program. These projects provide invaluable hands-on experience, allowing learners to apply theoretical concepts to real-world scenarios. Participants work with actual datasets, ... tackling challenges such as data cleaning, analysis, and visualization. This practical approach not only enhances their technical skills but also boosts confidence in problem-solving. Mentorship from industry experts during these projects further enriches the learning experience, ensuring students receive guidance and feedback. Completing live projects equips graduates with a strong portfolio, making them highly competitive in the job market. Read more
    Frequently Asked Questions

    Choosing the best institute for a Data Science course in Lucknow depends on various factors such as curriculum, faculty, hands-on training, placement assistance, and student reviews. Some of the notable institutes include:

    • Uncodemy: Known for its industry-relevant curriculum, experienced instructors, and hands-on project work. They also offer placement support.
    • IIIT Lucknow: Offers specialized programs in data science and analytics, focusing on academic rigor and practical applications.
    • NIIT: Provides a comprehensive data science program with industry connections and placement opportunities.
    • Careerera: Known for its diverse course offerings and strong emphasis on practical skills.
    • Data Science Academy: Focuses on tailored training and real-time projects, enhancing learning outcomes.

    Researching each institute's offerings, visiting for a counseling session, and checking alumni feedback can help you make an informed decision!

    The fee for data science courses in Lucknow typically ranges from ₹15,000 to ₹1,50,000, depending on the institution and program duration. Short-term certification programs may cost around ₹15,000 to ₹30,000 for a few weeks, while comprehensive diploma courses can range from ₹30,000 to ₹80,000 for 3 to 6 months. Advanced or specialized courses may go up to ₹1,50,000, especially if they include hands-on projects and placement assistance.p>

    Becoming a data scientist in 3 months is challenging but achievable for foundational skills. You can gain proficiency in key areas like Python, statistics, and basic machine learning. However, mastering advanced techniques and gaining substantial industry experience typically requires additional time and ongoing learning.

    The salary of a data scientist in Lucknow varies based on experience and skill level. Entry-level positions typically offer ₹4 to ₹6 lakhs per annum, while mid-level professionals with 2-5 years of experience can earn between ₹6 to ₹12 lakhs. Senior data scientists with over 5 years of experience may command salaries ranging from ₹12 to ₹20 lakhs or more, reflecting the growing demand for skilled data professionals in the region.

    Yes, data scientists have a promising future as the demand for data-driven decision-making continues to grow across industries. Organizations increasingly rely on data analysis, machine learning, and artificial intelligence to gain insights and enhance operations. This trend ensures a steady need for skilled data scientists, making it an attractive career choice with excellent growth potential and lucrative salary prospects.

    The syllabus for a Data Scientist course typically includes the following key components:

    1. Introduction to Data Science
    • Overview of data science and its applications
    • Data science lifecycle
    2. Programming for Data Science
    • Python/R basics
    • Data structures and algorithms
    3. Data Manipulation and Analysis
    • Libraries like Pandas and NumPy
    • Data cleaning and preprocessing techniques
    4. Data Visualization
    • Tools: Matplotlib, Seaborn, Tableau
    • Creating meaningful visualizations
    5. Statistical Analysis
    • Descriptive and inferential statistics
    • Hypothesis testing and regression analysis
    6. Machine Learning
    • Supervised vs. unsupervised learning
    • Algorithms: Decision Trees, Random Forests, SVM, Clustering
    7. Deep Learning
    • Introduction to neural networks
    • Frameworks: TensorFlow, Keras
    8. Big Data Technologies
    • Overview of Hadoop and Spark
    • Data processing with big data tools
    9. Capstone Project
    • Comprehensive project integrating learned skills
    10. Career Guidance
    • Resume building and interview preparation

    This syllabus can vary by institution, so it’s best to check with specific programs for detailed information.

    Yes, the Data Scientist course is highly in demand due to the increasing reliance on data-driven decision-making across industries. As businesses generate vast amounts of data, the need for skilled professionals who can analyze, interpret, and leverage this information has surged. Companies in sectors such as finance, healthcare, marketing, and technology are actively seeking data scientists to gain insights, optimize operations, and drive innovation. Additionally, advancements in machine learning and artificial intelligence further amplify this demand. With the ongoing digital transformation, pursuing a career in data science offers strong job security, competitive salaries, and significant growth opportunities in the future.

    Yes, Uncodemy offers placement assistance as part of their Data Science course. They provide support through various avenues, including resume building workshops, interview preparation sessions, and mock interviews. Additionally, Uncodemy connects students with industry networks and potential employers, helping them navigate job opportunities effectively. This comprehensive support aims to enhance students' employability and ensure they are well-prepared for the job market.

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