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 creating an analysis of Twitter data.

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

Details

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 Twitter data, 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 Twitter 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 Twitter data using the Python Bokeh library.

Statistics

We will look at how to access various statistical methods using Python libraries and implement some code to perform statistical analysis of our Twitter data.

Skills and Outcomes

Students will pick skills in the following areas:

• Data Science
• Python programming
• Object oriented design
• Algorithms
• Data Visualisation

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

• Understand the typical tasks and activities of a data scientist.
• Load and manipulate data sets.
• Write Python code to analyse data.
• Write Python code to visualise data.