Data Visualisation with Python

Are you looking to improve your data visualisation skills and Python skills?

Data analysis is becoming an increasingly important practice in many industries, including finance, healthcare, and education. This means that there is a growing demand for data analytics skills.

This ExpertTrack will teach you how to use Python libraries to perform data modelling and create engaging data visualisations.

You will be able to use Python functions like Matplotlib to create scatter plots and plot bar charts histograms.

Seaborn, another data-visualisation tool that combines aesthetic appeal with powerful technical insight, will also be covered. Bokeh can also be used to create complex interactive visualisations by using advanced layout widgets.

As you move through the courses, you will learn how to interpret statistical visualisations and quantitative comparisons. You'll also be able to identify various types of data plots.

This course will teach you how to show uncertainty in data by using confidence bands and point estimate intervals.

Many organisations are not able to effectively collect and analyse data but transform them into useful decision-making that creates organisational value.

This ExpertTrack will teach you advanced data visualization skills. These skills will allow you to bring insight to life and communicate data in a meaningful and accessible way.

These courses will show you how to create powerful visualisations using spreadsheet tools.

Your training will conclude with an exploration of data analytics as an emerging field, and the role of new technologies such as DataOps and UX design.

After completing all three courses, you will feel confident creating dashboards using a variety data visualization tools and applying data insight.

Yes. Yes. Job postings for data visualisation have increased by 540% in the past five year. Tableau skills are also highly sought after.

People who combine fundamental skills like data wrangling, statistical analysis, and Python can quickly gain traction as a data analyst or business owner in this expanding i!eld.