Introduction to Data Science: Analyse and Visualise Data with Python

It's been called the sexiest job of the 21st century. But what's involved in data science? And what makes it so sexy?!

In this course we will provide an introduction to data science by finding, loading, analysing and visualising an openly available data source.

This course is a ideal for those looking to explore data science for fun or as a career.

16 to 17 Jun 2018

2 days, Weekend, 9:30 am to 4:30 pm

at Think Create Learn, Ealing

Full price:

10% discount applied


Course Outline




Learn the basics of data science by preparing, analysing and visualising data using Python.


Data Science Tasks

We will take a brief look at what data scientists do and the tools they use.

Getting your data

We will collect some data from the open data site Kaggle, clean it up and store it in a suitable file or database format.

Data manipulation

We will look at ways to handle data and implement some code to shape our data using the Python Numpy and Pandas libraries.

Data visualiation

We will look at ways to visualise data and implement some code to visualise our data using the Python MatplotLib and Bokeh libraries.


We will look at ways to analyse our data, such as clustering, classification and regression using machine learning techniques from the Python Scikit Learn library.


Full price individual: £144 (reduced from £160)

Concession individual: £108 (reduced from £120)

Concession pricing is available to anyone in full time education.

Skills you should have before you attend

You should be proficient in Python

What courses can I do before ?

To prepare for this course you can attend the following courses:

Introduction to Programming: Create a Music Player with Python
Programming Project: Part 1 - Python Programming

Skills you will pick up in the course

Key skill categories

On successful completion of this course, students will be able to


16 Jun 2018 to 17 Jun 2018

(2 days, Weekend 9:30 AM to 4:30 PM) at Think Create Learn, Ealing


This course can be customised and delivered at a mutually-convenient time and place for groups


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