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