Data Analytics Boot Camp with GenAI Tools
Become a Job-ready Data Analyst with Excel, SQL, Power BI, Tableau, Python & Generative AI Tools
Master the tools used by Data Analysts
Microsoft Excel | SQL | Power BI | Tableau | Python | Generative AI Tools
45,000
Upto 60% Discount.
₹ 18,990
+ Tax
Register soon — seats are limited.
Live Class
Course Type
3 Months
Duration
Tue, Wed, Thu, Fri
Classes On
8 PM – 9 PM
Class Time
16-Sep-26
Class Starts on
16-Dec-26
Class Ends on
12-Week Live Online Data Analytics Bootcamp | Instructor-led Classes | Hands-On Projects | Career Support
Whether you are a fresher, student, working professional, non-IT professional or career switcher, this Data Analytics Course is designed to help you build practical skills required for modern analytics roles.
Why Learn Data Analytics?
Every business generates data. The real competitive advantage comes from people who can turn that data into insights, reports, dashboards and business decisions.
Data Analysts help organizations answer questions such as:
- What is driving sales?
- Which customers are most valuable?
- Why are revenues increasing or declining?
- Which products or regions are performing best?
- Where are operational problems occurring?
- Which KPIs require management attention?
- What actions should the business take based on the data?
A Data Analyst combines data analysis, SQL, Excel, business intelligence, data visualization and business problem-solving to answer these questions.
Our Data Analytics Bootcamp is designed to take you from the fundamentals to practical, job-oriented analytics skills.
You don’t need to be a programmer to start.
You learn step-by-step, starting with Excel and analytics fundamentals, then progressing into SQL, Power BI, Tableau, Python and Generative tools AI for Data Analysis.
Tools You Will Learn in Live Classes
Excel for Data Analysis
SQL for Analytics
Microsoft Power BI
Gen-AI Tools
+
Free Video Courses worth ₹15,000
Tableau Desktop
Python for Data Analysis
Tableau and Python course are delivered through on-demand video course.
Data Analytics Course at a Glance
Feature | Details | ||
|---|---|---|---|
Course | Data Analytics Bootcamp with GenAI | ||
Duration | 12 Weeks | ||
Learning Format | Live Online Instructor-Led | ||
Level | Beginner to Job-Ready | ||
Coding Experience | Not Required | ||
Projects | Capstone & Real-World Projects | ||
Virtual Job Simulation | Yes | ||
Career Support | Resume, Interview & Job Profile Support | ||
Certificate | Course Completion Certificate | ||
What Will You Learn in This Data Analytics Course?
Our curriculum combines the most important technical and analytical skills required for modern Data Analysts.
1. Advanced Excel for Data Analytics
Excel remains one of the most widely used tools for business analysis, reporting and decision-making.
You will learn how to use Excel to clean, analyze, summarize and visualize business data.
Topics Include:
- Excel fundamentals for analytics
- Advanced Excel functions and formulas
- VLOOKUP
- XLOOKUP
- INDEX-MATCH
- SUMIFS
- COUNTIFS
- OFFSET
- Logical functions
- Data cleaning
- Data validation
- Sorting and filtering
- Pivot Tables
- Pivot Charts
- Slicers
- Interactive dashboards
- Reporting and dashboarding
- Business problem-solving using Excel
Practical Outcome
You will learn how to transform raw business data into meaningful reports, dashboards and actionable insights.
2. SQL for Data Analytics
SQL is one of the most important technical skills for a Data Analyst.
You will learn how to retrieve, clean, transform and analyze data stored in relational databases.
SQL Curriculum
- Introduction to relational databases
- MySQL fundamentals
- Database and table concepts
- SELECT statements
- Filtering data
- Sorting data
- Creating tables
- ALTER TABLE
- DROP TABLE
- INSERT
- UPDATE
- DELETE
- GROUP BY
- Aggregation
- SQL functions
- Joins
- UNION
- Nested queries
- Subqueries
- Common Table Expressions (CTEs)
- Window Functions
- Temporary tables
- Data cleaning and preparation
- Complex SQL queries
- Business-oriented SQL problems
Practical Outcome
You will be able to write SQL queries to answer real business questions and extract meaningful insights from large datasets.
3. Microsoft Power BI for Business Intelligence
Power BI is one of the most widely used Business Intelligence and data visualization platforms.
You will learn how to connect data, transform it, model it and create interactive dashboards.
Power BI Curriculum
- Introduction to Power BI
- Connecting data from different sources
- Data import
- Data transformation
- Power Query
- M Language fundamentals
- Data cleaning
- Data modeling
- Relationships
- Data visualization
- DAX fundamentals
- Measures
- Calculated columns
- KPIs
- Interactive dashboards
- Business reporting
- Dashboard design
- Data storytelling
Practical Outcome
You will learn how to convert raw datasets into interactive Power BI dashboards that communicate business performance and insights.
4. Tableau for Data Visualization
Tableau is a powerful Business Intelligence and data visualization platform used to explore data and communicate insights.
The Tableau component is delivered through On-demand video course.
Tableau Curriculum
- Tableau Desktop fundamentals
- Connecting data
- Data preparation
- Dimensions and measures
- Groups
- Hierarchies
- Sets
- Calculated fields
- Combining data
- Interactive dashboards
- Data visualization
- Visual storytelling
- Reports and dashboards
- Publishing and sharing reports
Practical Outcome
You will learn how to build interactive Tableau dashboards and present analytical findings through effective data visualization.
5. Python for Data Analysis
Python is an increasingly important skill for analysts who want to work with larger datasets and perform more advanced data analysis.
The Python component is delivered through On-demand video course.
Python Curriculum
- Python fundamentals
- Variables and data types
- Mutable and immutable data types
- Conditional statements
- Loops
- Functions
- User-defined functions
- NumPy
- Pandas
- Loading datasets
- DataFrames
- Data cleaning
- Data preparation
- Data analysis
- Data visualization
- Plotting
Practical Outcome
You will learn how Python and libraries such as NumPy and Pandas can be used for data preparation, analysis and visualization.
6. Generative AI for Data Analysts
Modern Data Analysts increasingly use Generative AI to accelerate repetitive analytical tasks and improve productivity.
This Data Analytics Bootcamp includes a dedicated Generative AI for Analysts component.
You Will Learn
- Generative AI fundamentals for Data Analysts
- Using ChatGPT for data analysis
- Using Microsoft Copilot for analytical tasks
- Using Gemini for data-related tasks
- Prompt Engineering for Data Analysis
- AI-assisted data analysis
- AI-assisted reporting
- AI-generated insights
- Data storytelling with Generative AI
- Using AI to accelerate analytical workflows
- Reducing the time required for repetitive analytics and reporting tasks
Practical Outcome
You will learn how to combine traditional Data Analytics skills with Generative AI to work more efficiently and produce better analytical outputs.
Learn Data Analytics + GenAI in One Program
Traditional Data Analytics skills remain essential.
But modern analysts can go further by combining:
Excel + SQL + Power BI + Tableau + Python + Generative AI
This combination helps you build both core analytics capability and modern AI-assisted productivity skills.
Hands-On Data Analytics Projects
Learning tools is not enough.
A good Data Analyst must be able to apply those tools to business problems.
That’s why this Data Analytics Bootcamp includes practical projects and a capstone experience.
Project 1: Excel Data Analysis & Reporting Project
Work with business data and use Excel to:
- Clean the data
- Analyze trends
- Create KPIs
- Build Pivot Tables
- Create charts
- Develop dashboards
- Present business insights
Project 2: Power BI Business Intelligence Project
Build an end-to-end Business Intelligence solution using Power BI.
You will practice:
- Data loading
- Data transformation
- Data modeling
- DAX
- KPI development
- Dashboard creation
- Business reporting
- Insight generation
Project 3: SQL Data Analysis Project
Use SQL to solve business problems involving:
- Data extraction
- Filtering
- Aggregation
- Joins
- Subqueries
- CTEs
- Window Functions
- Business analysis
Virtual Job Simulations
The Bootcamp also includes two virtual job simulations designed to give you an opportunity to apply your learning to realistic industry scenarios.
Instead of only learning concepts, you practice thinking like a Data Analyst.
You will work through business-oriented analytical situations and apply your technical skills to solve problems.
Your Data Analyst Learning Journey
Learn
Build your foundation in Excel, SQL, Power BI, Tableau, Python, and GenAI
Practice
Solve quizzes, assignments and business-oriented analytical problems.
Build
Work on practical projects and a capstone project.
Simulate
Apply your knowledge through virtual job simulations.
Prepare
Work on your resume, profile and interview preparation.
Start Applying
Build confidence to pursue Data Analyst and related analytics opportunities.
Who Should Join This Bootcamp
Students & Freshers
Launch your career in analytics.
Working Professionals
Upskill and switch to high-paying analytics roles.
Non-IT Professionals
Learn the relevant skills to transition your career into analytics roles.
People with Career Break
Acquire Skills that are in demand and re-start your career.
Entrepreneurs/Managers
Make data-driven business decisions.
No prior coding knowledge required!
What Makes This Data Analytics Bootcamp Different?
Data analytics is one of the fastest-growing career fields today. Companies across industries are seeking professionals who can analyze data, build reports, and drive business decisions.
Our Analytics Boot Camp is designed to give you practical, job-ready skills with a perfect blend of Live Instructor-Led Classes and Project-based Learning.
You can start even if you don’t have prior programming or coding experience.
Live Instructor-Led Online Classes
Attend interactive online classes where you learn directly from instructors, ask questions, clarify concepts, practice with datasets and work through projects
Structured Live Learning
Follow a structured live online learning path with instructor guidance, practical exercises, assignments and project-based learning.
Practical Projects
Apply Excel, SQL and Power BI skills to practical business problems rather than learning only through theory.
Modern GenAI Skills
Learn how Generative AI tools such as ChatGPT, Copilot and Gemini can support modern analytical workflows.
Career Preparation
Get support with resume preparation, profile review, interview preparation and job-board optimization.
₹ 7,30,000
Average Package
40-50%
Average Salary Growth
7,000+
Career Transitions
₹ 4.9*
Average Student Rating
Career Outcomes After the Boot Camp
Roles you can apply for:
Data Analyst
Business Analyst
BI Developer
Reporting Analyst
MIS Specialist
What You Get With the Data Analytics Bootcamp
Live instructor-led online classes
Hands-on projects & assignments
Virtual job simulations
Resume Preparation & Profile Review
Job interview preparation support
Industry-recognized completion certificate
What Our Students Say?
I was working in operations and wanted to move into analytics. The Boot Camp gave me the confidence and the skills to land my first role as a Data Analyst. The mix of live classes and video content worked perfectly for my busy schedule!
Shashi M
Data Analyst at Cognizant
I joined the Analytics Boot Camp right after graduating, and it completely transformed my career path. The step-by-step guidance in Excel, SQL, Power BI, and Tableau, along with the Generative AI module, gave me a strong portfolio. Within two months of completing the program, I landed my first job as a Data Analyst with Genpact.
Arun Krishnan
Associate Data Analyst at Genpact
I’m a marketing professional, and learning analytics has been a game changer for my career. The trainers simplified complex topics and taught us how to apply analytics to real business problems.
Ashwathi S
Associate at Annalect
I come from a commerce background, and I was nervous about learning technical tools. The instructors made everything so simple and practical that I now work confidently with data every day."
Pooja B
MIS Specialist at Tata Capital
Coming from a non-technical background, I was nervous about switching to analytics. The trainers at Introtallent made even complex concepts simple and easy to understand. The live classes, combined with recorded sessions, helped me learn at my own pace. Today, I work as a Business Analyst something I never thought possible just 6 months ago
Sanjay Mathur
Business Analyst
As a marketing professional, I needed data skills to grow in my role. This boot camp was perfect because of its blended learning format. I could learn through videos and also attend live sessions. Now, I build powerful dashboards and use data-driven insights to improve campaigns at work
Prajaktha Aradhya
Marketing Data Analyst
Become a Pro with These Tools
Get Certified
After successfully completing the live course, assignments, and quizzes, you will be eligible to generate your certificate.
Attend Live Classes
Complete Projects & Assignments
Score 60% in Quizzes
Get Certified
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Frequently Asked Questions (FAQs) About the Data Analytics Course
A Data Analytics course teaches you how to collect, clean, analyze, visualize and interpret data to solve business problems and support decision-making.
A practical Data Analytics program typically covers tools such as Excel, SQL, Power BI, Tableau and Python, along with data visualization and business analysis.
Yes.
The Bootcamp starts from the fundamentals and progresses step-by-step. Prior coding or programming experience is not required.
No. We start from scratch and cover everything step-by-step.
Whether you’re a working professional, a final-year student, or a recent graduate, this Bootcamp is designed for learners from all industries and domains.
Yes.
You do not need prior coding knowledge to join the Bootcamp. The program starts with foundational analytics concepts and progressively introduces SQL and advanced concepts.
Yes.
Data Analytics is not limited to software professionals. Professionals from commerce, finance, marketing, sales, operations, HR and other business functions can use analytics skills to improve their career opportunities.
Yes.
The blended learning format combines live online classes with self-paced learning, allowing working professionals to study alongside their existing responsibilities.
The course is offered in a blended learning format, which means you get both Live Online Classes and Recorded Video Lessons. Excel, SQL, Power BI, and Generative AI tools will be delivered through Live online classes. Tableau and Python courses will be delivered throuhg on-demand video courses.
Yes. You will get a course completion certificate upon completing all lessons/modules and assessments.
You will have access to the course content for 1 year from the date of enrollment. After this period, your access will expire, and you will no longer be able to view the course materials.
You can watch the recordings of the live classes and clarify your doubts during the live classes. The recordings of the live classes can be accessed upto one week from the class delivery date. The live class recordings will automatically be deleted after 7 days from the live class delivery date.
We have a strict no-refund policy for this program.
Once you enroll and gain access to the course materials (including live sessions and recorded videos), no refunds or cancellations will be provided under any circumstances.
However, if you are unable to attend the current batch, you may request a batch transfer to join the next available cohort, subject to availability and approval.
The Bootcamp includes support for resume preparation, profile review, interview preparation and job-board optimization.
Depending on your background and experience, you can explore roles such as:
- Data Analyst
- Business Analyst
- BI Analyst / BI Developer
- Reporting Analyst
- MIS Analyst
- Operations Analyst
- Marketing Data Analyst
Not necessarily.
A technical degree can be useful for some roles, but Data Analytics also attracts professionals from commerce, business, finance, marketing, operations and other backgrounds.
Your analytical skills, technical capabilities, portfolio, communication and interview performance are important factors.
Data Analytics can be a strong career path for people who enjoy working with data, solving business problems and communicating insights.
However, completing a course alone does not guarantee employment. Building practical skills, projects and interview readiness is essential.
