eLearnAfrica
Microsoft Future Ready: Data Science Research Methods Using Python Programming
CloudSwyft Global Systems, Inc.
  • Start Date: 18 Jan, 2021
  • 3 weeks
  • Study Content: Videos


Discover data collection methods to support your data science research and analysis.

Course Fee: Free
Certificate Cost: See Fees and Eligibility
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Course Description

This course is made available through the eLearnAfrica and FutureLearn partnership.

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This course is part of the Ethics Laws and Implementing an AI Solution on Microsoft Azure ExpertTrack, helping you understand and apply ethical and legal frameworks in data research, analytics and AI.


During this course, you’ll learn the fundamentals of data research including developing good research questions, designing data collection strategies, analysing data and putting results in context. You’ll also understand how data scientists play a key role in the research phase, not just the analysis, and how this will help extract valid insights from your data.


Understand data collection methods and the research process


To help you build the confidence to accurately analyse your data, this course will take you through the full research process.
You’ll grow your knowledge of the planning needed for high quality data analysis and learn how to properly query your data for a robust analysis. This includes understanding how to test hypotheses, how to partition data and use inference in order to extra valid results.


Learn how to use and apply Python programming knowledge


During the course, you’ll use Python programming, an essential tool for data science and machine learning. All labs are done with Python, while the videos are language-agnostic, giving you plenty of opportunity to hone your skills with this powerful tool.


Advance your skills in data science


By the end of the course, you’ll understand the research process and develop practical skills across research methods and Python programming, a flexible language used in everything from data science to cutting-edge and scalable AI solutions.


This self-paced course is designed for learners with an interest in using data for research, and methods of wrangling, compiling and presenting data for research.


Learners will benefit from:



  • A basic knowledge of math.

  • Some programming experience – Python is preferred.

  • A willingness to learn through exploration and perseverance.


Certificate cost may vary. You will be redirected to the host page for cost and payment options.

CloudSwyft Global Systems, Inc.

This university is part of the partnership between eLearnAfrica and FutureLearn.

This institution is available on eLearnAfrica through partnership with FutureLearn.

You may be able to download course materials after enrolling in this course. If not, all of the necessary course materials provided by the course instructor will be available on the provider's course page.
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Effective Date: September 22, 2016