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Data Visualisation with Python: Matplotlib and Visual Analysis

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$12

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Course Features

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Duration

4 weeks

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Delivery Method

Online

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Available on

Lifetime Access

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Accessibility

Mobile, Desktop

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Language

English

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Subtitles

English

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Level

Beginner

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Effort

4 hours per week

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Teaching Type

Self Paced

Course Description

While many organisations are capable of collecting and analysing data efficiently, not all can transform these insights into organisational value. Data visualisation is a great tool. The Python online course will help you improve your data visualization skills, both for exploratory and explicatory purposes. It uses the most common programming language. Python is widely used in all areas of business analytics, including finance and healthcare. It is also one of easiest programming languages to learn. Through the use of Python's robust graphic libraries, you will learn to use it to bring your ideas to life and create stories that aid decision-making. This course will teach you design basics, helping you identify and critique the components of visualised data, charts, and complex relationships. In this course, you will also learn how to create powerful visualisations with spreadsheet tools. Matplotlib, a Python library that creates charts and plots, is powerful. The library and time series data will be explained to you, which is one of the most common data types. Additionally, you will learn how to create and customize plots with Python code. This includes custom colours, markers, styles, and other options. Visualisations are a way to visualize data and compare them in a quantitative fashion. We'll show you how to create quantitative visualisations using different methods. Learn how to plot scatter plots, histograms, and bar charts using Matplotlib, Python plotting library, Matplotlib. You can preview some of the steps in this course before you sign up.

Course Overview

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Alumni Network

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

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Identify and critique components of effective visualisations, charts and visualisation of complex relationships

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Design effective visualisations using spreadsheet tools

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Understand the architecture and objects of the Matplotlib Package

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Create Static Plots using Matplotlib

Target Students

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This course is designed for professionals who would like to grow their confidence in using Python to produce exploratory and explanatory visualisations and build dashboards to communicate insights

Course Instructors

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Ed Marks

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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Alastair Gill

Instructor

Alastair has over 15 years of experience in data science, across business and academia as a researcher, speaker, mentor, consultant and software engineer.
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$12

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