Data Visualisation with Python
Learn to leverage Python libraries to conduct data modeling and build compelling visualisations.
Duration
Approx 12 weeks4 hrs per week
Data Visualisation with Python
Develop data visualisation skills leveraging Python.
Do you want to boost your data visualisation and Python skills to transform data into meaningful insights that add real business value?
As data analysis becomes an increasingly essential practice across industries like finance, marketing, healthcare, and education, the demand for data analytics skills is rising dramatically.
Leverage Python libraries to conduct data modelling
On this ExpertTrack, you’ll learn to leverage Python libraries to conduct data modelling and create compelling data visualisations.
You’ll master key Python functions such as Matplotlib to create plot bar charts, histograms and scatter plots.
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.
Interpret and analyse data sets
As you progress through the courses, you’ll learn how to interpret quantitative comparisons and statistical visualisations, and identify different types of data plots.
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.
Communicate data insights to stakeholders
Many organisations collect and analyse data effectively but are unable to transform their insights into effective decision-making that results in organisational value.
Throughout this ExpertTrack, you’ll develop advanced data visualisation skills that will help you bring insights to life and convey data in an accessible and meaningful way.
The courses will guide you through a number of practical exercises, asking you to design powerful visualisations of your own using spreadsheet tools.
You’ll conclude your training by considering data analytics as an emerging field, and exploring the role of new technologies and practices such as UX design and DataOps.
Once you’ve completed all 3 courses, you’ll feel confident in applying design thinking, creating dashboards, leveraging a variety of data visualisation tools, and applying data insights.
Are data visualisation skills in demand?
Yes. Job postings calling for data visualisation have grown by 540% over the last five years and specific demands for Tableau skills have grown by 1,165%.
Individuals that can combine foundational skills such as data wrangling and statistical analysis, with the use of Python can quickly gain traction in this growing field as a business or data analyst.
Industry statistics
Median base salary
£45,000UK job openings/month
1,724
Key skills you will learn
- Data Visualisation
- Creating dashboards
- Python
- Data Analytics
- Matplotlib
- Seaborn
- Bokeh
- Design Thinking
- Programming
- Data Analysis
- Design
Learning outcomes
By the end of the ExpertTrack, you’ll be able to...
- Leverage Python libraries to conduct data modeling and build compelling visualisations
- Identify and critique components of effective visualisations, charts and visualisation of complex relationships
- Articulate the thought process of designing an application
- Define best practices for setting objectives and planning of the data analytics phases
Experience required
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.
Getting started
This ExpertTrack will grow your confidence in using Python to produce exploratory and explanatory visualisations,building dashboards, and communicating dashboard insights. It is suitable for:
- professionals with a fundamental understanding of data analytics or who work with data on a regular basis but want to become more employable or progress in their career.
- business analysts and junior data analysts looking to further develop their data visualisation skills using Python.
- individuals with existing programming capabilities looking to enter the data analytics field.
ExpertTrack course overview
Course 1
Data Visualisation with Python: Matplotlib and Visual Analysis
Discover how to produce visual data analytics and business insights with the powerful Python programming language.
1 test
4 weeks
4 hours per week
Week 1
Introduction to visualisation and visualisation design fundamentals
- Welcome to the course!
- Introduction to visualisation
- Visualisation design fundamentals
- Wrap-up
Week 2
Designing charts and visualising complex relationships
- Introduction
- Designing charts
- Visualising complex relationships
- Wrap-up
Week 3
Introduction to Matplotlib and plotting time series data
- Introduction
- Introduction to Matplotlib
- Plotting time series data using Matplotlib
- Wrap-up
Week 4
Quantitative comparisons, statistical visualisations, and sharing visualisations
- Introduction
- Quantitative comparisons and statistical visualisations
- Sharing visualisations
- Wrap-up
Course 2
Data Visualisation with Python: Seaborn and Scatter Plots
Discover how to create visualisations and show understanding of data visualisation theory with the Python programming language.
1 test
4 weeks
4 hours per week
Week 1
Introduction to Seaborn and visualising quantitative variables
- Welcome to the course!
- Introduction to Seaborn
- Visualising quantitative variables
- Wrap-up
Week 2
Visualising categorical and quantitative variables and customising Seaborn plots
- Introduction
- Visualising categorical and quantitative variables
- Customising Seaborn plots
- Wrap-up
Week 3
Highlighting data and using colour in visualisations
- Introduction
- Highlighting your data
- Using colour in visualisations
- Wrap-up
Week 4
Showing uncertainty and visualisation workflow
- Introduction
- Showing uncertainty
- Visualisation workflow
- Wrap-up
Course 3
Data Visualisation with Python: Bokeh and Advanced Layouts
Elevate your data visualisation skills and better communicate your data insights with the data visualisation package, Bokeh.
1 test
4 weeks
4 hours per week
Week 1
Introduction to Bokeh, basic plotting, and layouts
- Welcome to the course!
- Introduction to Bokeh
- Basic plotting with Bokeh
- Layouts, interactions and annotations
- Wrap-up
Week 2
Annotations and interactive visualisations
- Introduction
- Layouts, interactions, and annotations
- Building interactive visualisations
- Wrap-up
Week 3
An end-to-end exploration and analysis
- Introduction
- End-to-end data exploration and analysis
- Ethical concerns
- Wrap-up
Week 4
New ways of working and looking ahead
- Introduction
- New ways of working
- Next steps
- Wrap-up
Prove you're job ready
Highlight the new, job-relevant skills you’ve gained and supplement existing qualifications with a hard-earned, industry-specific digital certificate – plus one for every course within your ExpertTrack.
- Learn the latest in your chosen industry or subject.
- Complete each course and pass assessments.
- Receive certificates validated by the educating organisation.
- Impress employers with learning outcomes you can add to your CV.
- Make your career dreams a reality.
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Join an ExpertTrack to master new skills in your chosen specialist area. Work through a series of topic-focused courses at your own pace, and pass the final assessment to earn a digital certificate award which proves your expertise.
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World-class learning with FutureLearn
FutureLearn is a leading social learning platform and has been providing high quality online courses for learners around the world over the last ten years.
This ExpertTrack is in collaboration with Tableau
Learn how Tableau, a leading business intelligence tool, helps people see and understand their data to drive business success.
This ExpertTrack is endorsed by Coventry University
This ExpertTrack is endorsed by Coventry University and delivered by FutureLearn as a quality professional development programme.
Meet your instructor
I truly believe that leveraging the correct technologies in the appropriate way can take us towards a more sustainable economy. My focus is on converging M&E Engineering with Data Science/Analysis.
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