FutureLearn
- Start Date: 30 May, 2022
- 4 weeks
- Study Content: Videos
Elevate your data visualisation skills and better communicate your data insights with the data visualisation package, Bokeh.
Course Fee: Free
Certificate Cost: See Fees and Eligibility
Course Description
This course is made available through the eLearnAfrica and FutureLearn partnership.
Learn how to use Bokeh in Python
On the first week of the course, you’ll explore the key functions of Bokeh and how it can be used to create interactive visualisations and dashboards.
You’ll weigh up the benefits of Bokeh compared to other data visualisation packages, and explore the concept of Glyphs within Python and how they can be customised.
Explore data plotting in Python
Once you’ve mastered the basics you’ll learn about plot layouts, advanced features of the layouts, and the application of advanced widgets on Bokeh.
By the end of week two, you’ll understand the basics of layouts, interactions, and annotations, as well as being able to connect sliders to plots by updating plots from selects and putting it all together.
Understand the phases of data exploration
In week three, you’ll engage in an end to end exploration of data analysis. You’ll explore the various phases of data exploration and learn more about data ethics and the role of responsible storytelling.
You’ll also have the chance to conduct extended data analysis and visualisation, bringing all your learning together.
On the final week of the course, you’ll look at data analytics as an emerging field, the role of DataOps and UX design, and new technologies that have the potential to enhance your prospects as a data professional.
Throughout the course, you’ll have the opportunity to engage in a variety of practical exercises and complete real-world tasks that will place you in the role of a data analyst for a boutique streaming service.
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.
- A professional working with data on a regular basis or has a fundamental understanding of data analytics but wants to become more employable or progress in their career.
- A business analyst or junior data analysts looking to further develop their data visualisation skills using Python.
- An individual with existing programming capabilities looking to enter the data analytics field.
If you want to explore this subject further, you may be interested in these courses from the same provider. They share the same subject and overall learning outcomes. Access them here:
- Data Visualisation with Python: Matplotlib and Visual Analysis
- Data Visualisation with Python: Seaborn and Scatter Plots
During this course we’ll be using Tableau Public and Excel. If you don’t have Excel, you might find this online version useful.
We recommend you use a computer to access these elements.
Certificate cost may vary. You will be redirected to the host page for cost and payment options.
FutureLearn
This university is part of the partnership between eLearnAfrica and FutureLearn.
This institution is available on eLearnAfrica through partnership with FutureLearn.
COLLABORATION POLICY
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Complete all tests and assignments on my own, unless collaboration on an assignment is explicitly permitted.
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Maintain only one user account and not let anyone else use my username and/or password.
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Not engage in any activity that would dishonestly improve my results, or improve or hurt the results of others.
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Not post answers to problems that are being used to assess student performance.
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Abide by any and all requirements of the eLearnAfrica Participants as may regard the expectations of civil or academic behavior or of community standards.
VIOLATIONS
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Receiving a zero or no credit for an assignment;
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Having any certificate earned in the course withheld or revoked;
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Being unenrolled from a course, learning program or degree program; or
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Termination of your use of the App and/or Site.
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No refunds will be issued in the case of any corrective action for such violations.
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CHANGING THE HONOR CODE
Please note that we review and may make changes to this Honor Code from time to time. Any changes to this Honor Code will be effective immediately upon posting on this page, with an updated effective date. By accessing the App and/or Site after any changes have been made, you signify your agreement on a prospective basis to the modified Honor Code and any changes contained therein. Be sure to return to this page periodically to ensure familiarity with the most current version of this Honor Code.
Effective Date: September 22, 2016