FutureLearn
- Start Date: 04 Jan, 2021
- 4 weeks
- Study Content: Videos
Learn the techniques that underpin predictive data analytics and understand the ethics behind them.
Course Fee: Free
Certificate Cost: See Fees and Eligibility
Course Description
This course is made available through the eLearnAfrica and FutureLearn partnership.
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Do you want to bring your predictive models to life and communicate with a diverse audience?
Data visualisation is a great tool for predictive analysis and bringing statistical models to life within your organisation.
You’ll learn how to use your data to make business predictions and get to grips with the ethical issues that can arise in the process.
On this third course of the Data Visualisation ExpertTrack, you’ll explore statistical techniques and the importance of testing and refining the models that you use for data analysis.
These skills will open career opportunities for data professionals and across a range of industries as demand for strong data analytics and visualisation skills grows.
Identify the techniques that underpin predictive data analytics
Understanding the core mechanics of your predictive models is essential for testing and fine-tuning them. You’ll review the ideas and theories that underpin your predictive analytics and learn to evaluate the effectiveness of each model.
Building a strong grasp of these theories means that you can interrogate your data more closely and find models that best suit your business, your customers, and the current markets.
Review ethical issues related to data analytics and modelling
Using and manipulating personal information comes with both ethical and legal considerations. You’ll learn to identify those ethical issues, and how to articulate them to your business to ensure that you work within the law and your corporate social responsibility.
Upon completion of this course, the final in the ExpertTrack, you will not only feel confident in creating effective data visualisations but also in responding to challenges and ensuring your organisation is complying with ethical and legal responsibilities around data handling.
This data analytics course is for professionals that require data visualisation skills to successfully meet the demands of their role, or to progress into new opportunities. It would also be suitable for people who currently analyse and present data at work but would like to understand predictive models more thoroughly, and clarify ethical considerations.
This includes:
- career starters wanting to develop their data analytics and visualisation skills to increase their chance of career progression and promotion
- business or art graduates who would like to add quantitative skills, data visualisation techniques, and predictive modelling to their skillset.
During the 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 this course.
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
By enrolling in a course on or through eLearnAfrica, you are joining a special worldwide community of learners. The aspiration of eLearnAfrica is to provide anyone with an internet connection access to courses from the best universities and institutions in the world and to provide our learners the best educational experience internet technology enables. You are a part of the community that will help eLearnAfrica achieve this goal. eLearnAfrica depends upon your motivation to learn the material and to do so with honesty and academic integrity. In order to participate in eLearnAfrica, you must agree to the Honor Code below and any additional terms specific to a class.
ELEARNAFRICA HONOR CODE PLEDGE
By enrolling in a course, program, or degree hosted on the eLearnAfrica App or Site, I agree that I will:
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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
If you are found in violation of the Terms and Conditions or Honor Code, you may be subject to one or more of the following actions:
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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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Additional actions may be taken at the sole discretion of eLearnAfrica and eLearnAfrica course providers.
No refunds will be issued in the case of any corrective action for such violations.
Honor code violations will be determined at the sole discretion of eLearnAfrica, the Partners, or Members. You will be notified if a determination has been made that you have violated this honor code and you will be informed of the corresponding action to be taken as a result of the violation.
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