India’s Most Comprehensive Full-Stack & AI Curriculum
Edvanta DataForge+ is our flagship 6-month program in Python, Data Analytics & Generative AI — delivered hybrid, with monthly batches, for students with a CS background.
Why Edvanta
Built for how CS students actually learn
Four principles shape every module of the Edvanta curriculum, from the first Excel formula to the final generative AI project.
01
Project-First Learning
Every module ends with a real project, not just a quiz — from Excel dashboards to a generative AI application, you build a portfolio as you learn, not after.
02
Industry-Aligned Curriculum
Ten modules spanning Excel, SQL, Python, statistics, machine learning, Power BI, Tableau, and generative AI — the exact stack modern data and AI teams actually use.
03
Hybrid Flexibility
Attend live sessions on schedule or catch up asynchronously — the hybrid format is built around real student schedules, not the other way around.
04
Mentor-Led Support
Dedicated doubt-clearing sessions and mentor support outside class hours mean you’re never stuck waiting until the next lecture to move forward.
Programs
Choose your track
One flagship data and AI program, two fullstack development tracks, and an AI/ML engineering track in development.
LIVE — Monthly Batches
Edvanta DataForge+
6-month hybrid program covering Excel, SQL, Python, statistics, machine learning, Power BI, Tableau, and generative AI. CS background required.
Enrolling
Python Fullstack Development
End-to-end web application development with Python — from backend fundamentals to deployment.
Enrolling
Java Fullstack Development
End-to-end web application development with Java — from backend fundamentals to deployment.
Coming Soon
AI/ML Engineering
A dedicated AI/ML engineering track is in development.
Curriculum
Edvanta DataForge+ — 10 modules
A hybrid, 6-month path from spreadsheet fundamentals to generative AI, built module by module. Tap any module to expand it.
01Excel for Data Analytics
Data types, core formulas — IF, VLOOKUP, XLOOKUP, INDEX-MATCH — plus data cleaning, pivot tables and charts, conditional formatting, and building dashboards analysts actually ship.
02SQL for Data Analysis
Database fundamentals through SELECT, WHERE, GROUP BY and HAVING, joins, subqueries, window functions, and CASE statements — with an introduction to query performance basics.
03Python for Data Analytics
Python fundamentals — data types, loops, functions, file handling — followed by NumPy and Pandas for data cleaning, wrangling, and handling missing values and outliers.
04Python EDA & Data Visualization
Exploratory data analysis and descriptive statistics, data distribution analysis, Matplotlib and Seaborn, correlation and trend analysis, and turning findings into business insights.
05Statistics for Data Analytics
Probability and distributions, descriptive and inferential statistics, hypothesis testing, t-tests, ANOVA, chi-square tests, and an introduction to Bayes’ theorem.
06Machine Learning with Python
Supervised versus unsupervised learning, linear and logistic regression, decision trees, random forest, ridge and lasso, KNN, Naive Bayes, K-means and hierarchical clustering, and model evaluation.
07Data Visualization with Power BI
Interface and architecture, data import and modeling, relationships and star schema, DAX functions, building interactive dashboards, and publishing reports.
08Data Visualization with Tableau
Interface and data connections, dimensions and measures, calculated fields, filters and parameters, chart types, and building interactive dashboards.
09Generative AI & Prompt Engineering
An introduction to generative AI and an LLM overview, working with the ChatGPT interface, prompt engineering techniques, use cases for data science, and image generation concepts.
10R Programming
An introduction to R and R basics, control structures, data cleaning and wrangling, and data visualization in R.
Outcomes
What you’ll actually build
Every module in Edvanta DataForge+ closes with a hands-on project, not a multiple-choice quiz. By the final module you’ll have a working portfolio — real code, real dashboards, real models — built the way data and AI teams actually work.
- Interactive Excel and Power BI dashboards built on real datasets
- SQL case studies covering joins, window functions, and query design
- Python EDA notebooks and machine learning models you can explain and defend
- A generative AI project applying prompt engineering to a practical use case
FAQ
Frequently asked questions
Who can enroll in Edvanta DataForge+?
Edvanta DataForge+ is designed for students and professionals with a CS background — prior exposure to programming fundamentals is a prerequisite. It’s built for learners who already know how to code and want to specialize in data analytics, machine learning, and generative AI.
Is the course online, offline, or hybrid?
Edvanta DataForge+ runs in a hybrid format — live instructor-led sessions combined with self-paced modules, so you can attend classes on schedule or catch up asynchronously without falling behind.
When can I start, and how are batches scheduled?
New batches begin monthly, so you can start the program without waiting months for the next intake. Exact batch dates are shared with enrolled students in advance.
What will I actually build during the program?
You’ll work through hands-on projects in every module — from Excel dashboards and SQL case studies to Python-based EDA, machine learning models, Power BI and Tableau reports, and a generative AI project — building a portfolio you can show employers, not just certificates.
How is the fee structured, and what does the payment process look like?
Fees are shared directly with applicants during enrollment and can vary by batch. Once you submit an enquiry, our team walks you through the fee structure and available payment options before you commit.
How is Edvanta DataForge+ different from the Python Fullstack or Java Fullstack programs?
The Fullstack programs focus on building and shipping web applications end-to-end. Edvanta DataForge+ is focused specifically on data — analytics, statistics, machine learning, BI tooling, and generative AI — for students who want to specialize in working with data rather than building full applications.
Start Building Your Data & AI Portfolio
New Edvanta DataForge+ batches open monthly, delivered hybrid so you can learn live or on your own schedule. Share your details and our team will walk you through curriculum, batch dates, and fees.
Also enquiring about Python Fullstack or Java Fullstack? Mention it in the form below.