Become a
Modern Data Scientist
Master Python, machine learning, and statistics. Build AI-powered solutions for real-world problems.
Duration
12–16 Weeks
Level
Intermediate to Advanced
Time
10–12 hrs/week
Certificate
Industry Recognized
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
Statistics
Week 3–4
- Probability
- Hypothesis Testing
- Distributions
Data Wrangling
Week 5–6
- Cleaning
- Feature Engineering
- Pipelines
Machine Learning
Week 7–10
- Regression
- Classification
- Clustering
Deep Learning & AI
Week 11–13
- Neural Networks
- NLP
- Computer Vision
Capstone Project
Week 14–16
- End-to-end Project
- Deployment
- Presentation
Tools & Technologies You'll Master
Direct, hands-on fluency in the official enterprise tools top data teams use every day.
Python
Core Tool
Pandas
Core Tool
scikit-learn
Core Tool
TensorFlow
Core Tool
Jupyter
Core Tool
SQL
Core Tool
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.
Project 2
Image Classifier
Train a deep learning model to classify product images.
Project 3
Sentiment Analysis
Analyze customer feedback at scale using NLP techniques.
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.