Description:
Looking to level up your data visualisation skills? Bored of dull, static charts and graphs? This course will teach you to how to use Python to create awesome, interactive data visualisations with the Plotly library.What’s involved?
You’ll find this course interesting, fun and engaging. The lessons are paced to build confidence in the skills you’re learning, and there are plenty of quizzes and practise activities to solidify your knowledge.
- Access to twelve chapters which take you through each topic, providing plenty of chances to practise.
- Over 140 Lectures, 27 hours of video content, 40 practise datasets and 11 quizzes
- Step by step instruction to set up your coding environment and install the required software
- The course starts with the basics; the first section will give you a basic understanding of the Python coding language. and you’ll soon be making some interactive charts!
- Use Plotly to create:
- Lineplots
- Areaplots
- Scatterplots
- Bubbleplots
- Stacked bar charts
- Grouped bar charts
- Pie charts
- Tables
- Dashboards
- Bring together everything you’ve learnt to create three awesome dashboards which showcase your work.
- Learn how to use colour, interaction and design principles to make your charts really stand out.
- Build a portfolio of charts that you can use to show off your data visualisation skills.
- Develop your knowledge of Python and become a confident user of Pandas; the go-to data analysis tool for Python coders.
- Personal contact with me – I’ll personally answer all of your queries
- Lifetime access to the course materials
Who this course is for:
- The ideal student for this course is a business analyst who uses tools such as Excel to create static charts and graphs, and who wants to improve the quality and accessibility of their outputs.
Requirements
- You should have access to a computer onto which you can install software.
- You should have an interest in data visualisation.
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Source: https://www.udemy.com/data-visualisation-with-plotly-and-python/
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