Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
22 Hour(s) 58 Minute(s)
Language
English
Taught by
Richard Muir
Rating
2 views
Course Overview
Level up your data visualisation. Learn to create interactive charts and dashboards with Python and Plotly.
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 get immediate access to twelve painstakingly crafted and researched chapters, each designed to level up your data visualisation and coding skills. Using my experience as a data visualisation specialist and teacher, I've created original content that uses real-world data to teach you the fundamentals of data visualisation in a clear and easy-to-understand way.
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.
Here's what you get with Data Visualisation with Plotly 3 and Python
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!
Over the twelve chapters you'll:
Use Plotly 3 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.
Please note that this course does not cover Plotly 4.0
What else will you get?
Lifetime access to the course materials
So what are you waiting for? Level up your data visualisation skills, transform your career and sign up now!
Course Content
- 10 section(s)
- 143 lecture(s)
- Section 1 Setting up your programming environment
- Section 2 Introduction to Python
- Section 3 Lineplots and Area Plots
- Section 4 Styling your charts
- Section 5 Scatterplots
- Section 6 Styling your charts (2)
- Section 7 Bar Charts
- Section 8 Making our first dashboard
- Section 9 Styling your charts (3)
- Section 10 Pie charts
What You’ll Learn
- At the end of this course you'll be able to use Plotly to make interactive line plots, area plots and scatterplots.
- You'll know how to make stacked and grouped bar charts, pie charts, donut charts and tables.
- You'll also be able to bring together several different charts into a dashboard.
- You'll have a working knowledge of the Python programming language, as well as an intermediate knowledge of the Pandas data analysis library.
Skills covered in this course
Reviews
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DDavid Schlessinger
This course is actually really good. I want to give it 5 stars, but I can't because sadly, a certain portion of its code in the notebooks is outdated. Now granted, most of this outdated code provides no problems (only a warning that some part of it is deprecated) or only requires only a little modification (e.g. changing the `import plotly.plotly as py` to `import chart_studio.plotly as py`). But then some of the outdated code does not work at all, and requires certain degree of overhaul to get to work (e.g. realizing that you cannot directly add a trace to fig['data'], you need to use the new function .add_trace, or finding out the yahoo API has changed and some information cannot be retrieved as a result). Now granted, I know that this course is about 6 years old at the time of writing, and there is probably little to no incentive for Richard Muir to update this course since the vast majority of the ideas and code are still pertinent to plotly to this day. However, it does make for a somewhat stilted learning experience to try and get a certain Jupyter block to work. That being said, one can still learn quite a lot from this course. As previously mentioned, the vast majority of this code still works, and even when it doesn't, it does not often take too much work to get it rolling again. Richard does a good job delineating ideas and the notebooks often contain helpful notes. I definitely would recommend this course, with the caveat that some of the older code can be a bit troublesome.
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EEduard Zerr
Sehr strukturiert mit unheimlich vielen Details. Dies hat massiv zum Verständnis beigetragen.
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HHisham Shihab
very good and detailed course. The downside is that it's a bit outdated now. It doesn't cover the new plotly interface based on plotly express, which is very important
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KKristin Skritek
This was one the best online courses I have ever taken. I needed to use Plotly for work, with no previous experience with it. I was able to quickly and successfully complete my work with the help of this course. The material was incredibly easy to follow, taught at a good pace, and well organized. I found the course incredibly thorough as well. The course isn't limited to Plotly knowledge - it can help your knowledge of general coding with work involving loops and creative thinking. Also, Richard as a teacher is pleasant to learn from and follow along; I have already looked into other courses he has. I'm a heavy note taker so I started this course by creating my own notes. I felt like I was pausing too frequently and taking longer - I then downloaded his resources and it greatly expedited my learning. I will definitely look back at them. I've recommended this course to multiple colleagues already! If you'd like to learn a great visualization tool for whatever capacity, I suggest this course!
