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Data Visualisation with Python

  • by Handson
  • Course level: All Levels

Description

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.

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