{PY} Data Analysis

Python &
Data Science

Enter the world of data in 4 months. Learn Python, Pandas, SQL and the basics of Machine Learning with expert instructors in live interactive sessions.

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Course Overview

The Python & Data Science course takes you from an introduction to Python programming all the way to data analysis techniques and Machine Learning. Live sessions twice a week; classes of max 15 students for a personalised experience.

What You Will Learn

Python: syntax, data structures, OOP
Pandas and NumPy for data analysis
SQL and relational databases
Data visualisation with Matplotlib and Seaborn
Machine Learning introduction with Scikit-learn
Jupyter Notebook and best practices
Data cleaning and transformation
Capstone project on a real dataset

Curriculum

Month 1 — Python Fundamentals

Python syntax, variables, loops, functions, lists, dictionaries, OOP and modules. Project: automation script.

Month 2 — Data with Pandas & SQL

NumPy, Pandas DataFrame, data cleaning, SQL with SQLite, joins, aggregations and visualisation. Project: sales dataset analysis.

Month 3 — Intro to Machine Learning

Classification and regression algorithms, Scikit-learn, model evaluation, cross-validation. Project: predictive model.

Month 4 — Capstone Project & Career

Capstone project on a real dataset chosen by the student, team presentation, GitHub portfolio and interview preparation.

Your Instructor

Marco Russo

Data Science Lead Instructor

Data Scientist with 8 years of experience in fintech and retail. Specialised in Python, ML and predictive analytics.

Python &Data Science