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Overview
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
Duration
- Part-time
- 3 months
- 4 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
More details
- Learn at your own pace
Language
English
Delivered
Online
Campus Location
- London, United Kingdom
Disciplines
Software Engineering View 34 other Short Courses in Software Engineering in United KingdomWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score 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.
- During the ExpertTrack we’ll be using Tableau Public and Excel. If you don’t have Excel, you might find this online version useful.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents36 EUR / module≈ 36 EUR / module -
Domestic Applies to you
Applies to youCitizens or residents36 EUR / module≈ 36 EUR / module
Additional Details
- Tuition per month.
Funding
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