What You'll Learn
A practical curriculum designed to take you from beginner to job-ready.
Python for Data
Week 1–2
- Python
- NumPy
- Pandas
1
Statistics
Week 3–4
- Probability
- Hypothesis Testing
- Distributions
2
Data Wrangling
Week 5–6
- Cleaning
- Feature Engineering
- Pipelines
3
Machine Learning
Week 7–10
- Regression
- Classification
- Clustering
4
Deep Learning & AI
Week 11–13
- Neural Networks
- NLP
- Computer Vision
5
Capstone Project
Week 14–16
- End-to-end Project
- Deployment
- Presentation
6
Tools & Technologies You'll Master
Python
Pandas
scikit-learn
TensorFlow
Jupyter
SQL
Real Projects. Real Impact.
Work on hands-on projects that build your portfolio and confidence.
Project 1
Customer Churn Prediction
Build an ML model that predicts customer churn for a subscription business.
PythonML
Project 2
Image Classifier
Train a deep learning model to classify product images.
TensorFlowCV
Project 3
Sentiment Analysis
Analyze customer feedback at scale using NLP techniques.
PythonNLP
Your Career Outcomes
Gain skills that open doors to high-demand roles worldwide.
Job-Ready Skills
End-to-end data science workflows companies need.
Global Opportunities
Apply for remote roles with international teams.
Career Growth
Step into senior and specialist data roles.
AI Ready
Build the foundation to specialize in modern AI.
Frequently Asked Questions
Ready to start your journey in data?
Join thousands of learners building in-demand skills and transforming their careers.