3 months
43 USD/module
43 USD/module
Tuition fee
Apply date
Start date


On Data Visualisation with Python at FutureLearn  you’ll learn to leverage Python libraries to conduct data modelling and create compelling data visualisations.

Visit the official programme website for more information


On Data Visualisation with Python at FutureLearn  you’ll learn how to interpret quantitative comparisons and statistical visualisations, and identify different types of data plots.

Key facts:

You’ll examine uncertainty in data, point estimate intervals, and confidence bands so that you can learn how to display uncertainty in data and walk through creating a workflow of a visualisation based on exploring a dataset.

You’ll also learn how to use Seaborn, another data-visualisation library, to combine aesthetic appeal and powerful technical insight, as well as Bookeh, to create complex interactive visualisations using advanced layout widgets.

Programme Structure

Courses include:

  • Data Visualisation with Python: Bokeh and Advanced Layouts
  • Data Visualisation with Python: Seaborn and Scatter Plots
  • Data Visualisation with Python: Matplotlib and Visual Analysis

Key information


  • Part-time
    • 3 months
    • 4 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.





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

  • There are no prerequisites to joining this ExpertTrack. However it’s advised that you have some prior knowledge or experience working with data statistics and using spreadsheets.
  • The learnings of this ExpertTrack will solidify and enhance any prior understanding of working with data and analytics as well as develop critical employability skills in using Python libraries for visualisation.

Tuition Fee

To alway see correct tuition fees
  • International

    43 USD/module
    Tuition Fee
    Based on the tuition of 43 USD per module during 3 months.
  • National

    43 USD/module
    Tuition Fee
    Based on the tuition of 43 USD per module during 3 months.

Tuition per month.

Price range in different currencies: £36 / $39 / €36


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.

Fresh content

Updated in the last 6 months

Check the official programme website for potential updates.

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Data Visualisation with Python


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