Data Science with GenAI
Data Science helps businesses make smarter decisions using AI and Machine Learning. Turn data into powerful insights and build your future as a professional Data Scientist.
What role does a Data Science Professional play?
Data science offers diverse career paths. Explore the key roles you can master in this course.
Data Analyst
Collect, clean, and analyze data to identify trends and create actionable business reports.
Data Scientist
Build predictive models and extract deep insights from unstructured data using advanced algorithms.
Machine Learning Engineer
Design, deploy, and scale production-grade machine learning models and pipeline architectures.
Business Intelligence Analyst
Create high-impact interactive dashboards and translate data metrics into business strategy.
Data Engineer
Construct, optimize, and maintain data pipelines, ETL architectures, and database tables.
AI / Gen AI Engineer
Implement Large Language Models (LLMs), prompt engineering, and integrate cognitive services.
Key Highlights
Everything you need to learn, practice and grow — all in one program.
250+ Live Interactive Sessions
Engage in real-time learning with experts across 7 months.
370 Hrs Videos
Learn at your own pace with in-depth, high quality video content.
50+ Projects & Quizzes
Work on real-world projects and test your knowledge with quizzes.
Live Expert Classes
Learn directly from experienced professionals and industry leaders.
Prestigious Certification
Earn a recognized certification from iHub IIT Roorkee.
Career Services
Resume building, mock interviews & placement assistance.
2 Days Campus Immersion
Experience campus life and connect with peers & mentors.
24/7 Dedicated Support
Get help anytime and personalized guidance through your journey.
Quality Material & Notes
Access well-structured study material and smart notes anytime.
Assignments & Tests
Reinforce learning with regular assignments and tests.
Lifetime Validity
Access course content anytime, anywhere for a lifetime.
Small Focused Batches
Learn in a focused environment with dedicated attention.
Market Analysis
Explore job opportunities and salary trends across leading platforms.
Job Title | No. of Jobs Listed | Annual Salary | |||
|---|---|---|---|---|---|
nNaukri | SShine | tTimes Job | MMonster Jobs | ||
Data Analyst | 1,10,000+ | 85,000+ | 60,000+ | 35,000+ | 3 - 8 LPA |
Data Scientist | 95,000+ | 70,000+ | 55,000+ | 30,000+ | 6 - 18 LPA |
Machine Learning Engineer | 80,000+ | 65,000+ | 45,000+ | 25,000+ | 8 - 20 LPA |
AI AI / Gen AI Engineer | 60,000+ | 45,000+ | 30,000+ | 20,000+ | 10 - 25 LPA |
>_ Prompt Engineer | 25,000+ | 18,000+ | 12,000+ | 8,000+ | 6 - 20 LPA |
Business Intelligence Analyst | 50,000+ | 40,000+ | 30,000+ | 18,000+ | 4 - 12 LPA |
Data Engineer | 70,000+ | 55,000+ | 40,000+ | 22,000+ | 6 - 18 LPA |
AI Research Assistant | 20,000+ | 15,000+ | 10,000+ | 6,000+ | 5 - 15 LPA |
High Demand. High Growth.
Roles in Data Science, Machine Learning, and GenAI are in highest demand with highly competitive packages.
High Demand. High Growth.
Roles in Data Science, Machine Learning, and GenAI are in highest demand with competitive salaries.
Data Science with GenAI
Python Fundamentals
- Introduction and Importance of Python
- Fundamental of Python
- Variable and Datatypes
- Data Structures in Python (List, Tuple, Set, String, Dictionaries)
- Operators
- Control Statement (If Else, Nested If Else, Looping, Jump Statement)
- Modules
- Functions
- File Handling
- Exception Handling
- Object Oriented Concept
- GUI Programming
- Regular Expression
- 5 Mini Projects
NumPy
- Introduction to NumPy
- Creating & Working with Arrays
- Array Operations
- Manipulating Arrays
- Filtering & Boolean Indexing
- Working with Random Module
- Linear Algebra with NumPy
- NumPy in Data Science Workflow
Pandas
- Introduction to Pandas
- Working with Series & DataFrames
- Data Import & Export
- Data Cleaning
- Data Transformation
- Data Aggregation & Grouping
- Merging & Combining Data
- Working with Time Series
- Handling Categorical Data
- Data Visualization with Pandas
Excel
- Introduction to Excel for Data Science
- Essential Excel Functions
- Data Cleaning & Preparation
- Data Manipulation Techniques
- Pivot Tables & Pivot Charts
- Data Visualization
Power BI
- Introduction to Power BI
- Data Loading and Transformation
- Data Modeling
- DAX (Data Analysis Expressions)
- Data Visualization
- Dashboard & Report Building
- Power BI Service (Cloud)
- Optimization Tools
- Real-world Projects and Case Studies
Matplotlib
- Introduction to Matplotlib
- Basic Plotting
- Plot Customization
- Working with Multiple Plots
- Statistical & Advanced Plots
- Working with Images
- Integration with Pandas and NumPy
Seaborn
- Introduction to Seaborn
- Distribution Plots
- Categorical Plots
- Relational Plots
- Statistical & Advanced Plots
- Customization & Styling
- Working with DataFrames
Basic Math
- Number Systems
- Percentage
- Profit & Loss
- Cumulative Sum
Statistics
- Descriptive vs Inferential Statistics
- Nominal vs Ordinal Data
- Standard Deviation and Variance
- Continuous vs Discrete Data
- Population & Sample
- Mean, Median and Mode
- Hypothesis Testing
- T-Test
- Paired T-Test
- P-Value
- F-Test
- Z-Test
MySQL
- Introduction to MySQL
- Basic MySQL Syntax
- Schema Design Methodology
- Create / Select / Drop / Copy Database
- Create Table
- Constraints in MySQL
- Alter Table
- Insert / Select / Delete / Update Records
- Rollback, Commit and Grant
Machine Learning
- Model Building
- Handling NA Value
- Data Transformation
- Normalization and Standardization
- Label Encoding
- One Hot Encoding
- Feature Engineering
- Train Test Split
- Preprocessing
- Appropriate Machine Learning Algorithms
- Supervised Learning
- Unsupervised Learning
- Outlier Treatment
- Cross Validation
- Hyperparameter Tuning
- Combining Datasets and Preparing Clean Input
Deep Learning
- What is a Neural Network
- Forward Propagation
- Back Propagation
- Building Multilayer Perceptron (MLP)
- Convolutional Neural Network (CNN)
- Sequence Models (RNN, LSTM)
- PyTorch / TensorFlow
Natural Language Processing (NLP)
- Introduction to NLP
- Text Preprocessing
- Text Representation Techniques
- NLP with Machine Learning
- Model Evaluation in NLP
- Sequence Models (RNN, LSTM)
- End-to-End NLP Project
Foundations of GenAI
- What is Generative AI?
- Role of GenAI in Data Analytics
- Limitations of Generative AI
- AI vs ML vs GenAI
- Foundations of Generative AI
- How LLMs Work
- Types of Generative AI Models
- Popular GenAI Tools for Analytics
Prompt Engineering
- Basics of Prompt Engineering
- Types of Prompts
- Prompt Optimization Techniques
- Prompt Libraries & Templates
AI for Database Analytics
- Introduction to AI in Databases
- Natural Language to SQL
- AI-Assisted Query Generation
- SQL Query Explanation
- Debugging SQL Queries with AI
- Query Optimization using AI
AI-Assisted Python Analytics
- Introduction to AI in Python Analytics
- Environment Setup with AI Support
- AI-Based Code Generation
- Data Handling with Pandas using AI
- Exploratory Data Analysis (EDA) with AI
- Data Visualization using AI
- Automated Report Generation
- Debugging Python Code with AI
Data Cleaning & Preparation with AI
- Introduction to Data Cleaning with AI
- Identifying Missing Values using AI
- Data Imputation Suggestions
- Auto-formatting Datasets
- Outlier Detection using AI
- Feature Engineering with GenAI
- Data Validation Automation
Data Visualization using GenAI
- Introduction to AI in Data Visualization
- Generating Charts using AI Prompts
- AI-Powered Dashboards
- Using Copilot in Power BI
- Automated Storytelling from Dashboards
- Visualization Recommendations
Statistical Analysis with AI
- Introduction to AI in Statistical Analysis
- Hypothesis Testing with AI Support
- Regression Analysis Automation
- A/B Testing Insights using GenAI
Git & GitHub Basics
- Intro to VCS
- Types of VCS
- What is Git & GitHub
- Git Installation
- Configuring Git
- Connecting Git with GitHub
- Basic Git & GitHub Workflow
- Git Branching & Merging
- Git Clone
- Resolve Merge Conflict
- How to Setup & Upload Project on GitHub
- How to Push & Pull Project
Core Soft Skills
- Communication Skill
- Problem Solving Skill
- Business Understanding
- Analytical Skill
- Story Telling
Projects & Training Activities
- 5 Mini Projects
- Minor Project – 1
- Major Project – 1
- Live Project Training
- Data Science with GenAI Project
- Industry Case Studies
- Real-world Data Analytics Projects
Book Your Free Demo Class Today
Experience our teaching style, ask questions, attend a live demo class, interact with mentors, and explore real-time learning with hands-on practice.
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