Become a Job-Ready Data Analyst with AI Skills in 4 months
Learn Data Analytics, GenAI tools, Python, SQL, Power BI and real-world projects from industry experts.
- Highest Package Upto 30 LPA
- 100% Placement Assistance With 300+ Partner Companies
- No Coding Knowledge Required To Start
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Unlock placement opportunities with 300+ companies
Learn career-ready Data Analytics, ML & AI skills with placement assistance support.
Deloitte
Axis Bank
Citibank
Zomato
Flipkart
TCS
Infosys
Wipro
Accenture
IBM
Amazon
Google
Microsoft
What you’ll learn?
Experience a powerful live session designed to help you understand the career scope, learning path, and real-world use of Data Analytics & AI.
Case Study Discussion with Mentors
Maximize learning with engaging discussions and practical problem-solving using Data Analytics & AI, led by industry mentors.
Data Analytics Career Scope with Gen AI
Data Analytics with Generative AI offers strong career growth by combining data skills with AI-powered automation and business insights.
Live Q&A with Industry Experts
Interact directly with experts, clear your doubts, and gain real-time insights about tools, projects and placements.
Upskill in Data Analytics & AI
Data Analytics with Gen AI
Packages upto
30 LPA
Average Hike
60%
Artificial Intelligence
Statistics
SQL
Problem Solving
Python
Excel
Power BI
Gen AI
Why to join?
World class curriculum curated by experts, as per industry trends
Resume building & mock interviews to make you industry ready
Portfolio expansion via industry-relevant projects & business case studies
Premium membership of lifetime alumni support
Who should take this course?
LeoSkill’s Data Analytics with AI program is designed for learners, professionals, and career switchers who want to build future-ready skills.
Working Professionals
- Banking Professionals
- Finance & Accounting
- Sales & Marketing Executives
- HR & Operations Professionals
- Healthcare Professionals
- Customer Support Executives
Career Switchers
- Career Transitioners
- Non-IT Professionals
- Professionals Restarting Careers
- Domain Experts Moving to Tech
Students & Freshers
- Engineering Students
- College Graduates
- Job Seekers
- MBA Aspirants
- BCA / MCA / BSc / MSc Students
- Commerce & Management Students
- Internship & Placement Seekers
Entrepreneurs & Self-Learners
- Business Owners & Entrepreneurs
- Teachers & Trainers
- Self-Learners
- Tech Enthusiasts
Free Trial Class
Limited seats available. Register now and start your Data Science journey.
Data Analytics with GenAI Course Structure
Learn Python, SQL, Power BI, Excel, Git and Generative AI with a practical week-by-week learning roadmap.
What you’ll learn in this program?
Module 1
Python for Data Analysis
5 Weeks
Python for Data Analysis
Week 1 · Programming Foundations
- Programming concepts and builder mindset
- Variables, input/output and print statements
- Memory management and garbage collection
Week 2 · Data Structures & Control Flow
- Data types: int, float, complex, bool
- String methods, formatting and operators
- List, set, tuple and dictionary methods
- Control flow, loops and functions
Week 3 · OOP & Advanced Python
- Class, object, methods and members
- Encapsulation, polymorphism, inheritance and abstraction
- Error handling, file handling and os module
- Requests, JSON, datetime, regex and SQL connectivity
- Decorators, generators, comprehensions and iterators
Week 4 · NumPy, Pandas & Flask Basics
- NumPy arrays, operations, broadcasting and reshaping
- Pandas Series, DataFrames, groupby, merge and join
- Data cleaning, null handling, pivot and melt
- Reading CSV, Excel and JSON files
Week 5 · Visualisation & Projects
- Matplotlib charts, subplots, annotations and styling
- Seaborn heatmaps, pairplots, distributions and regression plots
- Exploratory Data Analysis end-to-end
- Mini projects and full data analysis report
Module 2
SQL & Database Management
4 Weeks
SQL & Database Management
Week 1 · Database Foundations & Design
- Data, database, DBMS, RDBMS and NoSQL
- Tables, columns, rows, values and schema design
- Normalisation: 1NF, 2NF, 3NF
- Data types, constraints and keys
- DDL and DML commands
Week 2 · Core Querying
- SELECT, FROM and LIMIT
- ORDER BY ascending and descending
- WHERE conditions and operators
Week 3 · Advanced SQL
- INNER, LEFT, RIGHT, FULL, SELF and CROSS JOINs
- GROUP BY, HAVING, DISTINCT and aggregations
- Window functions: ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD and NTILE
- CTEs, subqueries, indexes, views and stored procedures
Week 4 · Database Admin & Transactions
- Stored functions and business logic
- Triggers: INSERT, UPDATE and DELETE
- DCL: GRANT and REVOKE
- TCL: COMMIT and ROLLBACK
- JSON, date, time, regex functions and query optimisation
Module 3
Power BI & Business Intelligence
3 Weeks
Power BI & Business Intelligence
Week 1 · Data Preparation & Modelling
- Power BI Desktop introduction
- Power Query, data import and transformation
- ETL concepts: Extract, Transform, Load
- Appending, merging, relationships and data modelling
- Star schema, snowflake schema and M language basics
Week 2 · DAX & Measures
- DAX syntax and evaluation context
- Measures vs calculated columns
- Time intelligence: YTD, QTD and MoM
- CALCULATE, FILTER, ALL, ALLEXCEPT, RANKX and TOPN
Week 3 · Visualisation, Reports & Service
- Charts, matrix, cards, maps and custom visuals
- Report design principles and storytelling
- Row Level Security, scheduled refresh and gateway setup
- Power BI Service publishing and dashboard project
Module 4
Excel for Data Analytics
2 Weeks
Excel for Data Analytics
Week 1 · Core Excel & Pivot Tables
- Pivot tables, slicers and pivot charts
- VLOOKUP, HLOOKUP, XLOOKUP and INDEX/MATCH
- Text functions: LEFT, RIGHT, MID, TRIM and CONCATENATE
- Date/time functions, IF, IFS, IFERROR and nested IF
Week 2 · Advanced Excel & Dashboards
- Conditional formatting and data validation
- SUMIFS, COUNTIFS and AVERAGEIFS
- Dynamic arrays, what-if analysis and scenarios
- Power Query in Excel and sales analytics dashboard
- Charts: bar, line, combo, waterfall and sparklines
Module 5
Generative AI for Data Analytics
2 Weeks
Generative AI for Data Analytics
Week 1 · Gen AI Foundations & Prompt Engineering
- Traditional ML vs Generative AI
- LLMs, tokens, embeddings and prompts
- AI tools: ChatGPT, Claude, Gemini and Copilot
- Prompt structure: role, context, task and format
- Prompts for data cleaning, summarising and analysis reasoning
- Using AI to write, explain and optimise SQL and Python code
Week 2 · AI Workflows, Visualisation & Ethics
- Validating and debugging AI-generated code
- AI-assisted data cleaning and profiling
- Chart recommendations and visualisation code generation
- AI narratives, executive summaries and dashboards
- AI APIs inside Python and notebooks
- Hallucination, bias, privacy and AI verification checklist
Bonus
Git & Version Control
Integrated
Git & Version Control
Git Fundamentals
- What is version control and why it matters
- Installing Git and initial configuration
- git init, git clone, git add and git commit
- git status, git log and git diff
Branching, Merging & Collaboration
- git branch, git checkout and git merge
- git pull and git push
- GitHub repositories, pull requests and issues
- Resolving merge conflicts and best practices
Connecting you to the top 1% experts
Get guidance from technical, project, career and interview mentors throughout your Data Analytics & AI journey.
Every student gets structured support from multiple mentors to learn faster, complete projects, prepare for interviews and become career-ready.
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Read Our Alumni Success Stories
See how LeoSkill learners built confidence, upgraded their skills, and moved closer to their dream careers.
From learning to earning
Everything you need to learn, build confidence, and become career-ready in Data Analytics & AI.
Mentored by the industry’s top 1%
Learn exclusive insights from expert mentors that help you grow beyond classroom learning.
Learn in live classes
Solve real-life problems and learn directly from experts through interactive live sessions.
Level up your resume
Build a project-ready resume that stands out and helps you perform better in interviews.
Secure a job in a dream company
Get placement support, interview preparation, and guidance to reach top recruiters.
Hurry up! Grab your FREE Trial Class
Register NOW!Any Questions?
Clear answers about the free trial class, registration process, tools, and learning experience.
The free trial class provides an overview of key concepts in data analytics, including introductory topics, basic tools and techniques. The case study discussed will put you in the shoes of an expert data analyst. In the end, you will have developed a clear sense of your career trajectory in the data analytics industry.
No, there are no prerequisites for attending the trial class. Beginners, students, graduates, and working professionals can attend.
We recommend you install Zoom before joining the class. The remaining class details and joining instructions will be shared with you through your registered email address or WhatsApp.
Absolutely! You can ask questions and interact with industry experts during the trial class to improve your understanding and learning experience.
To register for the free trial class, simply fill out your details in the registration form given on the page. Further instructions will be shared after registration.