Learn the basics of data science by preparing, analysing and visualising Twitter 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 Twitter data, clean it up and store it in a suitable file or database format.
We will look at ways to handle data and implement some code to shape our Twitter data using the Python Numpy and Pandas libraries.
We will look at ways to visualise data and implement some code to visualise our Twitter data using the Python Bokeh library.
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.
Full price individual: £144 (reduced from £160)
Concession individual: £108 (reduced from £120)
Group of up to 8: £600
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
- Python programming
- Object oriented design
- Data science
- 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.