Data Science for Beginners Online Short Course

Course description

Driven by the massive growth in data generated by our digitalised world, data science is one of the fastest growing jobs in the UGood data scientists are in demand in all areas of communications: design, journalism, advertising, PR, film; TV, VR/AR and VF

Get started in this exciting field by learning how to prepare, analyse and visualise data using Python.

Course Outcomes

By the end of the course you should be able to:

Understand the typical tasks and activities of a data scientist
Load and manipulate data sets
Write Python code to analyse data using machine learning and other techniques
Write Python code to visualise data

Who Should Attend

This course is ideal for you if you are working in a role that works with data, such as a advertising, journalism, design or computing, and you want to know more about getting value from data.

All our Online Short Courses include:

Live online lessons with the same tutors
The same course content and learning outcomes
Lesson recordings, for review
Access to VLE with course content
Forums for support
2 weeks online access
Certificate upon completion

Please note that all courses are taught in UK time.

Online courses are closed to all new bookings 48 hours prior to the course starting.

Available dates

Details

Topics covered

Introduction to Data Science: looking at what data science is and some typical data science applications
Being a Data Scientist: looking at what data scientists do and the tools they use
The Machine Learning Process: working through a small example project, understanding the general approach and process for organising and executing a typical machine learning task using Python
Use of “unplugged” (i.e. non-computer based) activities to reinforce understanding
Build more Machine Learning Techniques: building on the first exercise, we will learn new techniques such as classification, regression, and evaluating algorithms using Python
Acquiring and Cleaning Data: looking at where to collect data from and how to clean it and manipulate it into the right format using Python
Data Visualisation: looking at ways to present and visualise data and implement some code to visualise our data using Python
Data Science Challenge: looking at some typical data science questions and then working collaboratively to investigate and report back our answers

Materials

Online short course materials

To take part in the Online sessions you will need:

An up-to-date web browser (we recommend Chrome)
Microphone and headphones (a headset with a microphone function is recommended. The built-in microphone in your device would also be fine)
Webcam
Strong Internet connection - we recommend a minimum of 2 Mbps download, and 1 Mbps upload, faster if possible. You can test your network speed here - https://www.speedtest.net

Please bring for the first session: