Data Visualization with Python and Matplotlib

Overview

Data visualization refers to the process of enabling people understand the significance of data through visual communication. Data visualization is the easiest and most powerful way to access and digest huge amounts of data. Python 3 and Matplotlib are the most easily accessible and efficient to use programs to produce easy to read, simple to understand graphs, charts and other visual representations of data. Python is a general purpose programming language which a focus on readability and concise code, making it a great language for new coders to learn. Whereas, Matplotlib is a plotting library that works with the Python programming language and its numerical mathematics extension ‘NumPy’.

Many people have started to realize the significance of analyzing huge amounts of data. However, the majority of people lack the skills and the time needed to understand this data in its original form. Therefore, this course in Data visualization with Python and Matplotlib will help you learn how data visualization allows you to create easy to read, simple to understand graphs, charts and other visual representations of data. This course could be that added qualification that helps you land an ideal job in the IT or programming field. You could also use this course to improve your knowledge and to progress further in your career. This course covers every major chart that Matplotlib is capable of providing. You will be taught on the basic functions like labels, titles, window buttons and legends, the most popular types of graph and how to import data from both a CSV and NumPy. This course will also help you master the more advanced features like customized spines, styles, annotations, averages and indicators, geographical plotting with Basemap and advanced wireframes.

Course Curriculum

1: Course Introduction

2: Different Types Of Basic Matplotlib Charts

3: Basic Customization Options

4: Advanced Customization Options

5: Geographical Plotting With Basemap

6: 3d Graphing

7: Course Conclusion

Learning outcomes

• Visualize multiple forms of 2D and 3D graphs; line graphs, scatter plots, bar charts, etc.
• Load and organize data from various sources for visualization
• Create and customize live graphs
• Add finesse and style to make your graphs visually appealing

Access duration

The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course.  The course is self-paced and you can complete it in stages, revisiting the lectures at any time.

Who is this course aimed at?

• IT students
• Job seekers
• IT professionals

Method of assessment

At the end of the course, you will have one assignment to be submitted (you need a mark of 65% to pass) and you can submit the assignment at any time. You will only need to pay £19 for assessment and certification when you submit the assignment. You will receive the results within 72 hours of submittal, and will be sent a certificate in 7-14 days if you have successfully passed.

Certification and awarding body

Those who successfully complete the course will be awarded the Data visualization with Python and Matplotlib certificate by CPD & iAP. The qualification will make you valuable to employers, and your motivation at gaining new skills will be recognised.

Tutor info

Harrison Kinsley is a husband, runner, friend of all dogs, programmer, teacher, and entrepreneur.

Harrison utilized his love for learning and building with technology to start multiple businesses, all of which leverage the Python programming language. Python programming is a major part of his life and work. He believes programming is a super power, and the social impact of making this education easily accessible to anyone is one of the most important things he can do with his life.

Other benefits

• Written and designed by the industry’s finest expert instructors with over 15 years of experience
• Repeat and rewind all your lectures and enjoy a personalised learning experience
• Gain access to quality video tutorials
• Unlimited 12 months access from anywhere, anytime
• Save time and money on travel
• Learn at your convenience and leisure
• Eligible for a NUS discount card
• Free Career Support Service
• 25% Discount on personal Statement and covering letter writing service
• Free Access to Over 150 courses for 2 days (48 hours)
• Free access to course before you purchase (For selected courses only)