April 2026 Batch — Now Enrolling

Data Analysis +
AI & Machine Learning

data → insights → models → impact

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.

17
Weeks
4
Phases
5+
ML Projects
100%
Hands-On
Online/Offline Live Classes

Who Can Apply?

No background prerequisites. If you're ready to learn and build, you belong here.

College Students
Graduates
Career Switchers
Intermediate Learners
Dropouts
Working Professionals
Enroll For Data Analysis + AI & Machine Learning

Secure your seat for the current batch.

Verify your email with OTP to enable enrollment.

Course: Data Analysis + AI & Machine Learning

From the makers of
The Hacking SchoolCode.in

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.

PHASE 01
Foundations
Weeks 0–4

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.

PHASE 02
Python Mastery
Weeks 5–9

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.

PHASE 03
Data Science & SQL
Weeks 10–12

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.

PHASE 04
Machine Learning
Weeks 13–17

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.

PythonOOPAlgorithmsNumPyPandasMatplotlibSeabornSciPySQLScikit-learnRandom ForestDecision TreesRegression ModelsClusteringDimensionality ReductionLinuxGit & GitHubKaggleJupyter Notebooks
Python & CS
Data Science
Machine Learning
Tools & Infra

Not certificates. A portfolio that proves it.

01

5+ ML Projects

Classification, regression, clustering — all on real datasets with deployed notebooks.

02

Kaggle Profile

Competition entries, published notebooks, real leaderboard rankings.

03

Python Proficiency

From basics to advanced OOP and algorithmic thinking. Write production-grade Python.

04

Data Analysis Skills

Clean, explore, visualize, and interpret any dataset. SQL + Pandas + Statistics.

05

ML Model Building

Supervised, unsupervised, evaluation metrics. Build models that actually work.

06

Placement Assistance

Resume building, mock interviews, soft skills training, and hiring partner connections.

How to get into the program?

1

Apply Online

Fill the application form with your details and background.

2

CSAT Test

Take an open-internet aptitude test. Score above the cutoff to qualify.

3

Interview

Quick call to check your program fitness and learning commitment.

4

Join the Cohort

You're in. Let's #CodeForIndia!

One program. Everything included.

🎯 Limited Seats — Apply Now
17 weeks · Online Live · No hidden fees
  • 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
Apply Now — Limited Seats →
Govt of TelanganaAccredited by the Govt. of Telangana

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 →