AI-Integrated Curriculum
Learn with a curriculum built around real AI tools and workflows used by today's data teams.
// 20 Weeks Program// Next batch starts August 22nd
Master Modern Data Analytics
with AI Specialization
Crack Analyst Roles in 4.5 Months:
Master SQL, Python, Power BI, Excel & AI Tools That Get You Hired
Seats are limited.
Trusted by learners aspiring to work at leading companies
Program at a Glance
Learn directly from senior analysts who've spent years turning data into business decisions.
Program Highlights
Everything you need to become a data analyst.
Real Industry Case Studies
Solve actual business problems drawn from live industry datasets, not textbook examples.
Placement Assistance
Get dedicated support with resume building, interview prep, and hiring connects to help you land the right role.
Mentorship by Industry Experts
Learn directly from practicing data analysts and industry leaders who guide you every step of the way.
CURRICULUM
Master data analytics, step by step
From fundamentals to job-ready skills, mapped out for every stage.
Build a strong foundation in SQL and learn how businesses store, retrieve, and analyze data.
What you'll learn
01. SQL Fundamentals
- Databases, tables, schema design, SELECT, WHERE, ORDER BY, LIMIT
- Filtering, sorting, aliases, NULL handling, and aggregate functions
02. Data Retrieval & Analysis
- GROUP BY, HAVING, JOINs, subqueries, and CASE statements
- Business reporting using SQL queries
03. AI-Assisted SQL
- Generate SQL queries with AI
- Debug and optimize queries
- Explore datasets using AI assistants
Master advanced SQL techniques used by Data Analysts in real-world business scenarios.
What you'll learn
01. Advanced SQL Concepts
- Window Functions, CTEs, ranking functions, and analytical queries
- Advanced date & time operations
02. Query Optimization
- Indexing fundamentals
- Performance tuning
- Writing efficient SQL for large datasets
03. Business Case Studies
- Sales analytics
- Customer analytics
- Product analytics using SQL
Learn Excel for cleaning, analyzing, and presenting business data efficiently.
What you'll learn
01. Excel Essentials
- Data cleaning and formatting
- Logical, text, and date functions
- Conditional formatting and data validation
02. Reporting & Dashboards
- Pivot Tables and Pivot Charts
- XLOOKUP, INDEX-MATCH
- Interactive dashboard creation
03. AI with Excel
- AI-assisted formulas
- Automated reporting
- Insight generation using AI
Use Python to automate analysis, manipulate data, and solve real business problems.
What you'll learn
01. Python Fundamentals
- Variables, data types, loops, functions
- Lists, dictionaries, strings, and control flow
02. Data Analysis with Pandas
- Data cleaning
- Merge, Join, GroupBy
- File handling and data manipulation
03. AI Coding Assistant
- AI-assisted Python coding
- Debugging and optimization
- Exploratory data analysis workflows
Transform raw datasets into interactive dashboards and compelling business stories.
What you'll learn
01. Tableau Fundamentals
- Charts and visualizations
- Dashboards, filters, and parameters
- Best practices for dashboard design
02. Business Storytelling
- KPI dashboards
- Executive reporting
- Data storytelling techniques
03. AI-Powered Visualization
- AI-generated insights
- Dashboard automation
- Presentation-ready reports
Develop statistical thinking to make confident, data-driven business decisions.
What you'll learn
01. Statistics Foundations
- Probability and distributions
- Sampling techniques
- Confidence intervals
02. Hypothesis Testing
- Central Limit Theorem
- Hypothesis testing
- P-values and statistical significance
- Regression fundamentals
03. Business Experimentation
- A/B Testing
- Experiment design
- AI-assisted statistical analysis
Understand how modern companies use analytics and AI to drive product growth and business decisions.
What you'll learn
01. Product Analytics
- Funnels
- User segmentation
- Cohort analysis
- Retention analysis
02. Growth Metrics
- DAU & MAU
- CAC & LTV
- Churn analysis
- Product performance metrics
03. AI-Powered Analytics
- Prompt engineering for analysts
- Automated EDA
- AI-assisted reporting and workflow automation
Prepare for technical interviews with real-world business problems and mock interview sessions.
What you'll learn
01. SQL Interview Preparation
- Advanced SQL interview questions
- Window Functions and CTEs
- Business query challenges
02. Python & Analytics Cases
- Pandas interview questions
- Case-based problem solving
- Product analytics scenarios
03. Mock Interviews
- Technical mock interviews
- Resume reviews
- HR interview preparation
Build an industry-ready portfolio and prepare for placement opportunities.
What you'll learn
01. Industry Capstone Projects
- End-to-end business analytics project
- Product analytics dashboard
- Real-world data analysis pipeline
02. Portfolio Development
- GitHub portfolio
- Tableau portfolio
- Project documentation and presentation
03. Career Readiness
- Resume building
- LinkedIn optimization
- Placement strategy and career guidance
Stay ahead of the curve by mastering the latest AI tools, automation techniques, and productivity workflows used by modern data professionals.
What you'll learn
01. AI Tools for Data Analytics
- Master ChatGPT, Claude, Gemini, and Perplexity for analytics workflows
- Use AI to write SQL, Python, Excel formulas, and documentation
- Analyze datasets and generate business insights using LLMs
02. AI Automation & Productivity
- Automate data cleaning, reporting, and dashboard creation
- Build no-code AI workflows for repetitive analytics tasks
- Generate presentations, reports, and executive summaries with AI
03. Build AI-Powered Analytics Solutions
- Create Custom GPTs for analytics and business use cases
- Build AI Agents for data querying, reporting, and decision support
- Integrate AI into end-to-end analytics workflows and capstone projects
600+ Success Stories
Placement outcomes and hiring trends for our learners
12LPA
Average salary
1.4x
Average hike
55LPA
Highest salary
87%
Placed within 6 months
Tools
Learn In-Demand Technologies & AI Tools to Build Production-Ready Applications
SESSION HOSTS
Learn from Analysts at Leading Companies
Palash Somani
Director of Product
Harsh Agarwal
Senior Data Scientist
Ashish Gambhir
Engineering Lead
Rutvik Acharya
Principal Data Scientist – AI
HOW GRADIENT WORKS
Build Real-World Projects
Apply your skills by solving real business problems using industry-standard tools and datasets.
Sales Performance Dashboard
Build an interactive dashboard to track revenue, targets, KPIs, and regional sales performance.
Tools
Excel
Power BI
Key Outcomes:
- Create interactive Power BI dashboards
- Analyze sales trends and KPIs
- Present insights for business decision-making
Customer Segmentation Analysis (RFM)
Segment customers based on purchase behaviour to identify high-value customers and improve retention.
Tools
Excel
Python
Key Outcomes:
- Perform RFM analysis
- Build customer segments
- Generate actionable business insights
Marketing ROI Report
Measure campaign performance and identify which marketing channels deliver the highest ROI.
Tools
Excel
Power BI
Key Outcomes:
- Analyze campaign performance
- Calculate marketing ROI
- Build executive-ready dashboards
CAPSTONE PROJECT
Customer Churn & Retention Intelligence (AI-Powered)
Build an end-to-end analytics solution using a real-world customer dataset. Clean, analyze, visualize, and present business-ready recommendations using AI-assisted insights.
You'll Work On:
- Data extraction and cleaning
- Exploratory Data Analysis (EDA)
- Customer churn prediction
- Interactive Power BI dashboard
- Portfolio-ready project presentation
- AI-generated business insights
Tools
Excel
Power BI
Python
ChatGpt
Claude
Certification
Earn your Certificate of Participation
Where Data Skills Take You
Every company drowns in data.Few people know how to read it.
1.25M+
India's AI talent pool set to reach this size by 2027, up from 16% of the global pool today
India Skills Report, 2026
70%
Of data analysts already use AI tools to boost their day-to-day work
Alteryx / 365 Data Science, 2026
₹6-10L
Starting salary for data analysts with strong projects, at leading Indian companies
Glassdoor India, 2026
#1
Data and AI skills ranked the top emerging skill category worldwide
WEF Future of Jobs, 2025
PRICING
Invest in Your Future
Flexible payment options designed to make your learning journey accessible.
20Weeks Program
Data Analytics Program
₹59,00030% Discount
EMI from 6 Months plan available at checkout
₹41,300
What's Included
- Live Instructor-Led Classes
- Hands-on Projects & Capstone
- 1:1 Mentor Support
- Resume & LinkedIn Review
- Mock Interviews
- Placement Assistance
- Lifetime Access to Recordings
- Certificate of Completion
TESTIMONIALS
Real Learners. Real Results.
From students to working professionals to career switchers, these are the people who built real data analytics skills and turned them into real career moves.
What stuck with me was how close the projects felt to actual product decisions, not the textbook kind. That's the part that made things click when I started applying it on the job.
Om Rakshit
Product Analyst
I'd learned analytics on and off over the years but never in a way that stuck. This finally connected the dots. The tools felt less intimidating once I understood why we were using them, not just how.
Satyam Subhaprakash
Senior Analyst
I've sat through enough courses that were mostly theory with a little bit of figure it out yourself. This flipped that ratio, and honestly that's the only reason any of it stayed with me.
Rachana Galda
Data Analyst
I wasn't from a data background, so I was nervous going in. A few months later I was genuinely comfortable pulling apart a dataset. That shift in confidence is what I'd point to.
Shannon Sarojini
Data Analyst I
What I didn't expect was how much the AI side would matter in my actual role. Having both analytics and AI in one place gave me a way to think about problems that neither alone would have.
Sarthak Saharan
AI Business Analyst
Nothing fancy, just a well paced program that made me sharper at the day to day stuff. Reading data properly, and actually writing it up in a way people understand.
Satyam Muley
Business Data Analyst
FAQ
Still have questions? Here's what people usually ask.
This program is ideal for students, fresh graduates, working professionals, and career switchers looking to build a career in Data Analytics.
No. The program starts from the fundamentals and gradually progresses to advanced concepts.
The program runs for 19 weeks (approximately 4.5 months) with live online sessions.
Classes are conducted live, and recordings are provided for revision.
Yes. You'll receive an industry-recognized certificate upon successfully completing the program.
You'll learn Excel, SQL, Python, Power BI, Tableau, Pandas, NumPy, ChatGPT, GitHub, and Jupyter Notebook.
You'll complete 4+ real-world projects along with an AI-powered capstone project.
Yes. The curriculum is designed for beginners and progresses step by step.
Yes. The program includes Generative AI, AI-assisted analytics, prompt engineering, and workflow automation.
You'll learn through live classes, real-world projects, expert mentorship, AI tools, and career preparation.
Yes. The entire program is delivered online through live interactive sessions.
Plan for approximately 8–10 hours per week, including live classes and assignments.
Yes. Every module includes practical exercises, assignments, and industry case studies.
Yes. You'll graduate with portfolio-ready projects that demonstrate your practical skills.
You'll solve a real-world business problem using SQL, Python, Power BI, and AI tools to create an end-to-end analytics solution.
Yes. You'll learn from experienced industry professionals and receive guidance throughout the program.
Yes. The program includes resume reviews, LinkedIn optimization, mock interviews, and career coaching.
Yes. Eligible learners receive placement assistance, interview preparation, and job referrals for up to 1 year after completing the program.
No. We provide placement assistance and career support, but job offers depend on your performance, interview preparation, and hiring requirements.
Yes. You'll participate in mock interviews, technical interview practice, and HR interview preparation.
Yes. We help you build an ATS-friendly resume and optimize your LinkedIn profile.
Yes. Assignments help reinforce concepts and prepare you for real-world analytics work.
Absolutely. The program is designed to accommodate both students and working professionals.
You can watch the session recording at your convenience.
Yes. Flexible No-Cost EMI options are available.
A laptop with a stable internet connection is sufficient. All required tools will be introduced during the program.
Yes. You'll analyze real business datasets through case studies and projects.
Yes. You'll complete a capstone project and meet the program requirements to earn your certificate.
Simply complete the application process, choose your payment option, and secure your seat.
Yes. Our program advisors can help you understand the curriculum, career outcomes, pricing, and payment options before you enroll.