Study cover for Fundamentals of Data Science (Technical)
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Fundamentals of Data Science (Technical)

University of Southampton

1 months
1500 GBP/full
1500 GBP/full
Tuition fee
Apply date
Start date


This 6-weeks online course will offer you practical knowledge of machine learning and data visualisation that you can immediately put to use in your workplace.

Visit the official programme website for more information


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

Programme Structure

Topics include:

  • What data science is and why it’s important
  • A ‘hands-on’ Jupyter familiarisation activity
  • Python Primer
  • Glossary of terminology
  • The data science process
  • A data science toolkit
  • Types of data and example applications


Anyone wanting to start their career in Data Science, or looking to learn how to apply the powerful techniques of Data Science to their current business challenges

Key information


  • Part-time
    • 1 months

Start dates & application deadlines





Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

A basic understanding of programming is required; some experience with Python or with a similar language is recommended.

Tuition Fee

To alway see correct tuition fees
  • International

    1500 GBP/full
    Tuition Fee
    Based on the tuition of 1500 GBP for the full programme during 1 months.
  • EU/EEA

    1500 GBP/full
    Tuition Fee
    Based on the tuition of 1500 GBP for the full programme during 1 months.


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Fundamentals of Data Science (Technical)
University of Southampton


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