Want to build predictive models? Choose Data Science.

Understanding Data Science

Explain what data is and name its types; describe the four types of analysis; explain how data science, machine learning and AI relate; write first Python programs.

3 lessons

Case Study Introduction, NumPy & Pandas

Understand the ConnectNG case study; load and inspect real datasets with NumPy and Pandas.

3 lessons

Data Cleaning, Wrangling, Visualization & Mini Project 1

Clean and combine datasets; visualize patterns; present findings.

4 lessons

Statistics Foundations

Summarize data using statistics; understand probability and distributions; judge whether a sample can be trusted.

3 lessons

Inferential Statistics, Relationships & EDA

Test business hypotheses; measure relationships; run a structured exploratory analysis.

3 lessons

Data Preparation, Feature Engineering & Mini Project 2

Prepare data for modeling without leaking information; create useful features.

4 lessons

Machine Learning Foundations

Explain how machine learning works; train regression and classification models.

3 lessons

Model Evaluation, Churn Prediction & Segmentation

Evaluate models honestly; interpret them; segment customers.

3 lessons

Forecasting, Recommendations, Generative AI & Mini Project 3

Build simple forecasting and recommendation solutions; use LLMs, embeddings and RAG responsibly; understand deployment.

4 lessons

Capstone Planning & Build

2 lessons

Capstone Completion, Documentation & LinkedIn

3 lessons

Presentation, Upwork & Web Portfolio

3 lessons