Data Analysis +
AI & Machine Learning
Go from zero programming knowledge to building ML models, analysing real-world data, and creating AI-powered systems. Python. Statistics. Scikit-learn. Neural Networks. All in 17 weeks.
Who Can Apply?
No background prerequisites. If you're ready to learn and build, you belong here.
Secure your seat for the current batch.
Data is everywhere. People who can use it aren't.
Every company is sitting on data. Few have people who can turn it into decisions. This gap is your opportunity — if you have the right skills.
YouTube Tutorial Trap
You've watched 50 videos on ML. You still can't build a model from scratch on a real dataset. Passive learning doesn't work.
No Structure, No Depth
Random courses cover random topics. Nobody teaches the full pipeline — from raw data to EDA to model deployment.
Can't Prove Your Skills
Certificates from MOOCs don't impress recruiters. They want Kaggle notebooks, project portfolios, and deployed models.
If you're curious about data, you're ready.
College Students
Any branch. Add the most in-demand skill on top of your degree.
Analysts & Researchers
Already work with data in Excel? Learn Python, ML, and automate everything.
Career Switchers
Zero coding experience? We start from number systems and build up to ML.
Founders & PMs
Understand data deeply. Make data-driven decisions. Build AI-powered products.
17 weeks. 4 phases. From zero to ML engineer.
Every phase builds on the last. You start with fundamentals and finish building real ML systems with deployed models and Kaggle competition entries.
Linux, Git & Computer Fundamentals
Number systems, UNIX architecture, command line mastery, shell scripting, file permissions, CRON jobs, and Git/GitHub for version control.
Technical Orientation
Binary arithmetic, floating point numbers, ASCII, process management, I/O redirection — the foundational CS knowledge every data scientist needs.
Python — Fundamentals to Advanced
Data types, control flow, functions, OOP, file handling, error management. Build real programs, not just "hello world" scripts.
Computational Thinking
Algorithmic problem solving, computational complexity, data structures. The thinking patterns that separate coders from engineers.
NumPy, Pandas, Visualization
Array operations with NumPy, dataset management with Pandas, stunning visualizations with Matplotlib, Seaborn & SciPy. Real EDA on real datasets.
Statistics, Probability & SQL
Descriptive statistics, probability distributions, standard normal distribution, hypothesis testing. Plus SQL — DDL, DML, JOINs, RANK, aggregations.
Supervised & Unsupervised ML
Regression, classification, decision trees, random forest, SVM. Then clustering, dimensionality reduction, agglomerative methods. With performance metrics.
Advanced ML & Capstone
Reinforcement learning concepts, model optimization, Kaggle competitions, portfolio building. Build a voice-command food ordering system or similar capstone.
The tools data teams actually use.
Not certificates. A portfolio that proves it.
5+ ML Projects
Classification, regression, clustering — all on real datasets with deployed notebooks.
Kaggle Profile
Competition entries, published notebooks, real leaderboard rankings.
Python Proficiency
From basics to advanced OOP and algorithmic thinking. Write production-grade Python.
Data Analysis Skills
Clean, explore, visualize, and interpret any dataset. SQL + Pandas + Statistics.
ML Model Building
Supervised, unsupervised, evaluation metrics. Build models that actually work.
Placement Assistance
Resume building, mock interviews, soft skills training, and hiring partner connections.
How to get into the program?
Apply Online
Fill the application form with your details and background.
CSAT Test
Take an open-internet aptitude test. Score above the cutoff to qualify.
Interview
Quick call to check your program fitness and learning commitment.
Join the Cohort
You're in. Let's #CodeForIndia!
One program. Everything included.
- ✓Live coding sessions 5 days a week
- ✓1-on-1 mentorship & project reviews
- ✓Hands-on projects on real datasets
- ✓Python, Statistics, SQL & ML - full pipeline
- ✓Kaggle competition participation
- ✓100% placement assistance
- ✓CFI Certificate (Govt. of Telangana accredited)
- ✓scholarship for marginalised students
Stop watching tutorials.
Start building models.
17 weeks from now, you'll have a portfolio of real ML projects, Python proficiency, and data analysis skills that companies are hiring for right now.
Apply Now →or Talk to Us on WhatsApp →