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Unlock the Power of Data Science with Our Advanced Course !

Ready to dive into the world of Data Science? Our advanced course is perfect for learning data analysis, machine learning, AI, and big data from experienced professionals. With hands-on training, you’ll gain practical skills to solve real-world problems. Plus, our personalized mentorship, live projects, and strong placement support will prepare you to start your career as a Data Science expert. Join us and take the first step towards becoming a Data Science pro!

Success Stories: Our Proud Graduates

Uncodemy has helped over 5500 students land their dream jobs after completing our Data Science course. Our training makes you highly competitive in the job market. Don’t just take our word for it—check out the reviews from our past students who have achieved their career goals with our help.

Why You Should Learn Data Science

What You’ll Learn

Why Choose Uncodemy’s Data Science Course ?

Comprehensive Curriculum: Our course covers everything from the basics to advanced techniques, with practical projects to apply your knowledge in real-world scenarios.

Placement Assistance: We have strong ties with top companies and a dedicated placement team to help you secure high-paying jobs.

Flexible Learning Options: Choose between online and offline classes to fit your schedule.

Interactive Data Science Classes

Uncodemy’s interactive Data Science classes offer a hands-on learning environment to equip you with the skills needed in this fast-growing field. Our classes focus on practical, real-world applications and encourage critical thinking and teamwork. Whether you’re just starting out or looking to improve your current skills, our classes provide an engaging learning experience guided by industry professionals.

Key Aspects of Our Classes:

By enrolling in these interactive classes , you’ll build a solid foundation and develop the practical skills necessary to excel in the Data Science field.

Our Comprehensive Curriculum

At Uncodemy, we offer a curriculum designed to give you a deep understanding of Data Science. Covering everything from basic concepts to advanced techniques, our courses ensure you’re well-prepared to face industry challenges and build a successful career as a Data Scientist.

Set the Basics Right

Data science is all about working with large amounts of data using modern tools and techniques to find hidden patterns, get useful 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.

Uncodemy, a Data Science course provider , offers a curriculum that includes the following courses to strengthen your skills in Data Science:

1. Python for Data Science

  • Python Basics:
    • 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
  • Data Structure and File Operations:
    • 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
  • Functions and Object-Oriented Programming:
    • 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
  • Working with Modules and Handling Expectations:
    • Standard Libraries
    • Packages and Import Statements
    • Reload Function
    • Important Modules in Python
    • Sys Module
    • Os Module
    • Math Module
    • Date-Time Module
    • Random Module
    • JSON Module
    • Regular Expression
    • Exception Handling
  • Introduction to NumPy:
    • Basics of Data Analysis
    • NumPy - Arrays
    • Operations on Arrays
    • Indexing Slicing and Iterating
    • NumPy Array-Attributes
    • Matrix Product
    • NumPy Functions
    • Array Manipulation
    • File Handling Using NumPy
    • Array Creation and Logic Functions
  • Data Manipulation Using Pandas:
    • 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 Statics

  • Basic of Data Science:
    • 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
  • Exploratory Data Analysis:
    • 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
  • Feature Engineering:
    • What is Feature
    • Feature Engineering
    • Feature Engineering Process
    • Benefit
    • Feature Engineering Techniques
  • Inferential Statistics & Hypothesis Testing:
    • Basics Of Probability
    • Discrete Probability Distributions
    • Continuous Probability Distributions
    • Central Limit Theorem
    • Concepts Of Hypothesis Testing - I
    • Concepts Of Hypothesis Testing - II
    • Industry Demonstration Of Hypothesis Testing

3. Machine Learning

  • Linear Regression:
    • Simple Linear Regression
    • Multiple Linear Regression
    • Industry Relevance Of Linear Regression
  • Logistic Regression:
    • Univariate Logistic Regression
    • Multivariate Logistic Regression
    • Industry Applications
  • KNN classifier:
    • Data mining classifier technique
    • Application of KNN classifier
    • Lazy learner classifier
  • Support Vector Classifier:
    • Black box
    • SVM hyperplane
    • Max margin hyperplane
    • Kernel tricks for non-linear spaces
  • Decision Tree Classifier:
    • Rule based classification method
    • Different nodes for develop decision trees
    • Discretization
  • Ensemble Techniques:
    • Bagging
    • Boosting
    • Random Forest

4. Deep Learning

  • Artificial Neural Networks:
    • Neuron basics
    • Mathematics behind Neural Networks
    • Back Propagation
  • Convolutional Neural Networks:
    • Image Classification
    • Neural Network Architectures
    • Best practices of CNN
  • Recurrent Neural Networks:
    • Sequence Processing
    • Applications of RNN
    • Long Short Term Memory (LSTM)

5. Data Visualization and Communication

  • Data Visualization:
    • Importance of data visualization
    • Tools for data visualization
    • Best practices for data visualization
  • Power BI:
    • Introduction to Power BI
    • Power BI Desktop
    • Power BI Service
    • Creating reports and dashboards
  • Tableau:
    • Introduction to Tableau
    • Tableau Desktop
    • Tableau Public
    • Creating visualizations and dashboards

6. Capstone Project

The Capstone project is an integral part of the course, allowing you to implement the concepts learned throughout the program. You will work on a real-world data science problem, from data cleaning and preparation to model development and deployment.

7. Industry Case Studies

We cover numerous case studies from various industries to understand how data science solutions can be applied to solve business problems effectively.

8. Certification

Upon completion of the course, you will receive a certification, validating your skills and knowledge in Data Science, helping you stand out in the job market.

Boost Your Data Science Career !

Stand out in the job market with a prestigious Data Science Certification from Uncodemy. Our comprehensive Data Science Course includes hands-on projects, expert instructors, and a curriculum recognized by top employers. You’ll gain practical skills, join a supportive alumni network, and get career guidance to ensure your success. Enjoy flexible learning schedules, real-world case studies, and personalized mentorship to advance your career in the evolving field of data science.

To become a certified Data Science professional, it’s essential to be trained by experts. Uncodemy offers Advanced Data Science Training , delivered by certified trainers from the industry. This certification is crucial for landing high-paying jobs in leading companies.

Benefits of Our Data Science Course :

Uncodemy provides the Data Science Certification Course in association with:

  • ISO
  • NASSCOM
  • Skill India

Tools and Technologies Covered:

Master Data Science ! Learn the basics and importance of data science with our course . We’ll teach you how to collect and prepare data for analysis, and you’ll get hands-on experience with tools like Tableau and Power BI to create engaging data stories. You’ll also learn to use statistical methods to extract insights and make informed decisions. At Uncodemy, our top-tier Data Science Course combines data science principles with advanced analytics techniques.

Uncodemy Helps You Ace Your Interviews ! Uncodemy, the top Data Science institute , prepares you with the skills and strategies to excel in interviews at any level. Our offerings include:

Discover Uncodemy ! Uncodemy offers Advanced Data Science Training for everyone, from beginners to experienced professionals, and anyone looking to build a career in Data Science. Our courses cover essential areas like Full Stack Development, Software Testing, Data Science, Data Analytics, Python, Java, and more, all aimed at helping you enter the IT sector. Enroll today and start your journey towards a successful career in Data Science by joining our courses and unlocking your full potential!

Our track record speaks for itself! Almost everyone who has been part of Uncodemy, known for offering the best Data Science Offline Course , has gone on to become a sought-after Data Science professional. We understand that enrolling in a Data Science course, especially for beginners , can be a big decision. Here’s why Uncodemy stands out as the premier Data Science Training Institute :

Sign Up for Our Data Science Training ASAP!

Take the first step towards a successful career in data science. Register for our Data Science Training Course and become a certified data science professional. Contact us today to learn more about our classes and how we can help you achieve your career goals.

Get Industry Expert Trainers for Data Science Training !

Uncodemy, known as the best Data Science Training Institute , provides industry expert trainers to help you understand Data Science better. With many options available for Data Science courses , why choose Uncodemy? Here are some benefits:

At Uncodemy, we create an environment where every student feels at home. We embrace the philosophy of Vasudhaiva Kutumbakam—“The World Is One Family”—ensuring equal opportunities for all to learn, execute, and succeed.

What Else Does Uncodemy Focus On With Data Science Training Along With Placement Guarantee?

Uncodemy is a comprehensive hub for various IT courses, not just Advanced Data Science Training . We offer a wide range of courses including:

Uncodemy’s Data Science Training stands out for its holistic approach, featuring thorough content, practical exposure through live projects, personalized mentorship, and regular webinars led by industry professionals. The program includes multiple assessments before a final evaluation, ensuring students are well-prepared and confident.

Uncodemy fosters an engaging and supportive learning environment with a relaxed, informal atmosphere that promotes interaction and camaraderie among students and instructors. This approach creates a positive and enriching learning experience while maintaining our commitment to high-quality training. Get the best of the IT world by enrolling in our Data Science and other courses.

Why Choose Uncodemy for Data Science Training ?

Uncodemy offers a perfect mix of expert-led instruction and hands-on learning, making it an ideal choice for mastering Data Science. Our trainers are seasoned industry professionals with extensive experience, providing insights that go beyond the textbook. The curriculum is comprehensive, covering everything from basic concepts to advanced techniques, ensuring you are well-prepared for real-world applications.

What sets Uncodemy apart is its focus on practical experience. You’ll work on live projects that mimic actual business environments, allowing you to apply what you’ve learned in a meaningful way. This practical approach not only helps you understand complex concepts but also builds your confidence in handling Data Science tasks. Additionally, Uncodemy offers flexible learning options, including both online and offline modes, so you can learn at your own pace.

Upon completing the training, you receive a certification that is recognized and respected in the industry, significantly boosting your employability. Uncodemy also provides strong placement assistance, helping you secure a job that matches your skills and career goals. With ongoing support, mentorship, and access to a network of professionals, Uncodemy ensures that you are not just trained but also prepared for a successful career in Data Science.

Trends in Data Science Training

The field of data science is evolving rapidly, and training programs are keeping up. Here are some key trends in data science training:

Job Opportunities for Data Science Professionals

The demand for data science professionals is growing across industries, creating many job opportunities. Here are some common roles available for those with data science training:

With the increasing reliance on data-driven decision-making, there are plenty of job opportunities in data science, offering professionals with relevant training many career paths across various sectors.

Salary Packages for Data Science Professionals

The salary packages for data science professionals can vary based on experience, location, and industry. Here’s an overview of typical salary ranges:

These salary figures can increase significantly for professionals working in top-tier companies or those with specialized skills in advanced analytics, big data technologies, or machine learning.

India’s Growing Demand for Skilled Data Science Professionals

India’s need for skilled data science professionals is growing fast due to the country’s digital transformation and the increasing use of data-driven decision-making. Companies in finance, healthcare, retail, and technology are looking to use data insights for a competitive edge, leading to a surge in demand for data science experts.

The rise of startups, e-commerce, and tech industries has further increased the need for professionals who can analyze large datasets, create predictive models, and drive business intelligence.

Additionally, the government’s push for digital initiatives like Digital India, smart cities, and the adoption of AI and machine learning technologies are key factors behind the rising demand for skilled professionals. To meet this growing need, data science training institutes are becoming more common, offering comprehensive programs that equip individuals with the necessary skills to succeed in this evolving field.

Frequently Asked Questions:

1. Which Institute is Best for a Data Science Course ?

Uncodemy is one of the top institutes for Data Science training . They provide comprehensive learning with hands-on projects, guidance from industry experts, and placement support. Their flexible learning options and strong focus on real-world skills make them a preferred choice for students and professionals.

2. What Are the Data Science Job Trends ?

Data Science jobs are growing rapidly , driven by the increasing demand for data-driven business solutions. Companies are looking for Data Analysts, Data Scientists, and Business Intelligence professionals. Sectors like healthcare, IT, and finance are particularly active in hiring, with a focus on skills in machine learning, data visualization, and advanced analytics.

3. How Long Does It Take to Complete the Data Science Training Course?

The Data Science training course typically lasts around three months, with the fee usually around ₹20,000.

4. What Career Opportunities Can I Explore After Completing This Data Science Course?

Upon completing the Data Science course, you can explore roles like:

  • Data Analyst:Analyzing data to provide business insights.
  • Data Scientist:Building predictive models and data-driven solutions.
  • Business Intelligence Analyst:Creating reports and dashboards for business decisions.
  • Data Engineer:Managing data infrastructure and pipelines.
  • Analytics Consultant:Providing strategic data advice to organizations.
  • Market Research Analyst:Analyzing market trends and customer behavior.

5. What Skills Will I Learn from Uncodemy’s Data Science Training?

You’ll gain key skills like:

  • Data Analysis:Extracting insights from data.
  • Data Visualization:Creating charts, graphs, and dashboards.
  • Statistical Analysis:Using statistical techniques to interpret data.
  • Machine Learning:Building predictive models.
  • SQL:Querying and managing databases.
  • Tools Proficiency:Working with Python, R, Excel, Tableau, and more.

6. Is Data Science Certification Good for Your Career?

Yes, earning a Data Science certification can significantly boost your career. It:

  • Increases your credibility in the job market.
  • Validates your expertise in data analysis and machine learning.
  • Opens doors to better job opportunities and higher salaries.
  • Recognizes your skills through an industry-accepted certification.

7. Is Data Science in Demand in 2024?

Absolutely. The demand for Data Science professionals continues to rise in 2024, with companies in various industries seeking individuals who can analyze data to make informed decisions and enhance business operations.

8. Who is Eligible for the Data Science Course?

Anyone with a basic understanding of statistics and an interest in data can join the course. Familiarity with spreadsheet tools (like Excel) or basic programming (like Python or R) is helpful but not mandatory. You don’t need a specific degree, but a background in math, engineering, or computer science can be advantageous.

9. How Do I Start a Data Science Course ?

Starting is easy:

  • Research and choose the best institute (like Uncodemy).
  • Apply online or in person by submitting an application.
  • Pay the course fee and begin attending either online or offline classes based on your preference.

10. What is the Syllabus of the Data Science Course?

The course syllabus typically includes:

  • Introduction to Data Science:Basic concepts and definitions.
  • Data Collection & Cleaning:Preparing raw data for analysis.
  • Exploratory Data Analysis (EDA):Using statistics to explore datasets.
  • Data Visualization:Creating effective visuals.
  • Predictive Analytics:Basics of machine learning.
  • Advanced Analytics:Working with SQL, big data, and real-world projects.

11. What is the Best Course on Data Science?

The best course offers hands-on training, expert instruction, and a comprehensive curriculum that covers data cleaning, analysis, and predictive modeling. Uncodemy stands out as it offers real-world projects and career support, making it a strong contender.

12. Is Coding Required for This Data Science Course?

No, you don’t need coding experience to start. However, knowing the basics of Python or R can be useful. The course will teach you essential coding skills to perform data analysis, even if you’re a complete beginner.

13. Is Data Science Hard to Learn?

Learning Data Science can be challenging due to its wide range of topics (statistics, programming, machine learning). However, with structured guidance from experienced instructors and hands-on practice, it becomes easier to grasp. Uncodemy's course is designed to simplify the learning process with step-by-step guidance.

14. Is Data Science a High-Paying Job?

Yes, Data Science professionals are typically well-paid due to the high demand for their skills. Salaries vary by experience and the specific role, but Data Scientists, Analysts, and Engineers tend to earn competitive wages.

15. Is Data Science a Good Career Choice?

Absolutely. Data Science offers strong job prospects, good salaries, and opportunities across a range of industries. It’s a versatile and rewarding career path for anyone interested in working with data to solve real-world problems.