Data Science – Syllabus

Duration: 6 Saturdays (2pm–4pm) | Level: Beginner to Advanced | Mode: Online

6 Saturdays | Beginner to Advanced

Module 1: SQL & Data Wrangling

Joins, window functions, pandas/dplyr.

Module 2: EDA & Visualization

Matplotlib, seaborn, ggplot2, Tableau.

Module 3: Statistical Inference & Regression

A/B testing, linear/logistic regression.

Module 4: ML – Trees & Ensembles

Random Forest, XGBoost, hyperparameter tuning.

Module 5: Unsupervised & Intro to Deep Learning

K‑means, PCA, neural networks.

Module 6: MLOps & Capstone

Deploy model with FastAPI/Streamlit, final project.

Starting Date: 11th July 2026
Course Fee: £2990