Fundamentals of Data Science (Technical) University of Southampton

Overview

The Fundamentals of Data Science (Technical) course from the University of Southampton is an online course delivered part-time which perfectly suits professionals who needs to gain new skills or want to master those they already have.

During this CPD accredited course, you will benefit from the support of Southampton’s tutors and their hands-on approach regarding data science and its impact on day-to-day business. During these 6 weeks you will enrich your knowledge in data mining, machine-learning, and data visualisation.

Extra support for Python beginners

If you think you need extra support for your Python or statistic skills before this course, Southampton can offer you an extra pack of 5 intensive 1-hour tutorials. This training will help you with the technical issues that you may encounter along the course and help you be more confident.

How you'll learn during this short course

• Supervision during the course

One of the advantages of the Fundamentals of Data Science (Non-Technical) course is the fact that it is tutor-led. Even if it is an online course, the help of tutors is as important as in a physical classroom. The teachers in this course are meant to inspire and motivate you. They are data science experts who are able to deliver valuable and complex information. Also, they can provide you access documents if you need to.

• Hands-on learning useful for your day-to-day job

Learning is based on real-life business situations to demonstrate how you can immediately use the power of data science at work. You will have access to a learning platform usually accessible anytime and anywhere from a smartphone tablet or desktop.

Evaluation methods and feedback

In this course, four assignments are needed. For each assignment, your tutor will give a mark and comments. At the end of the course, you will be awarded a downloadable certificate.

After successfully completing the course, you’ll be able to:

• Recognize essential concepts of data science and their practical applications

• Explain in terms of data science what it means to collect, manage and store data

• Use MongoDB to implement data collection and management scripts

• Have a level of understanding of statistics and machine which is essential for data science

• Analyse a dataset using Python

• Use Python and Bokeh to plan and visualise your work

• Be familiar with cloud services and work effectively with live data