Data Visualisation using Python

Training Provider: NATIONAL UNIVERSITY OF SINGAPORE
Course Reference: TGS-2022011577
S$255
Original: S$850
Save S$595

About This Course

At the end of the course, learners will be able to:
• Understand good visual design principles to visualise data and findings effectively
• Process and prepare real-world data sets for analysis and visualization
• Create graphs using different Python visualisation packages, such as Matplotlib, Seaborn and Bokeh
• Build both static and interactive visualisations

What You'll Learn

"A picture tells a thousand words, and so is data visualisation. With visualisation, we can explain the insights we obtained from the analysis of increasingly large data sets using data science and machine learning algorithms. In the workplace, good data visualisation plays an essential role in communicating your point of view with your team and management. This short course aims to enhance your visualisation skills using Python, a perfect language as part of your data science workflow.

In this course, you will be introduced to the fundamentals of good visual design principles. With the hands-on experience, you will learn how to leverage various data visualisation libraries in Python, namely Matplotlib, Bokeh, and Seaborn. You will also gain knowledge on how to programmatically create both static and interactive graphs to present data in a form that makes sense to people. Data visualisation using Python enables you to extract information, better understand the data, and ultimately make more effective decisions. It helps you to tell a compelling story and focus on how to communicate with effective visualisations for maximum impact."

Entry Requirements

Basic understanding of data analytics

Course Details

Duration 7 hours
Language Not specified
Training Commitment Not specified
Total Enrolled New course
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.

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