Course Description
This course is made available through the eLearnAfrica and FutureLearn partnership.
Learn practical skills for a career in data analysis or data science
Data science allows organisations to understand and interpret swathes of data and gain insights that allow for smarter decision making, driven by data.
This two-week course provides an overview of the key concepts in data science, from understanding regression to using K-means clustering.
Discover new data analysis techniques through engaging data science projects
Whether you’re beginning a career in data science or want to understand your organisation’s data better, this course will strengthen your knowledge of data analysis tools and techniques.
You’ll complete practical projects that will demonstrate real-world applications of data science. This will allow you to assess different data science scenarios and choose the best approach, grounded in a broad knowledge of data analysis methodology.
Explore data visualisation tools and methods
You’ll delve into different types of data analysis and explore how to create effective data visualisation using MySQL. Using case studies as a starting point, you’ll discover step-by-step data visualisation processes, from gathering the data to displaying the output.
With this knowledge, you’ll be able to solve problem statements with data visualisation and be able to apply this knowledge to your own work.
Develop your data manipulation and interpretation skills
Having explored data analysis methods, you’ll then learn to evaluate and interpret this data in a meaningful way.
With a solid understanding of how to collect, review, and evaluate data, you’ll be able to explain your findings and the supporting methodology.
By the end of this course, you’ll understand applied data science methods and concepts. You’ll have gained insights into a variety of analytical approaches to data and be able to use these to interpret data effectively.
This course is designed for anyone interested in learning about data science, particularly those looking to begin a career in data science of analytics.
It would also be suitable for those wanting to better understand their organisation’s data and how to use and interpret it effectively.
You’ll need to download and install the Anaconda software to your Windows, MacOS, or Linux system. We’ll show you how to do this on the course.
Certificate cost may vary. You will be redirected to the host page for cost and payment options.
Packt
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