Microsoft Future Ready: Data Science Research Methods Using Python Programming

Discover data collection methods to support your data science research and analysis with this online course from CloudSwyft Global Systems, Inc.

Duration

3 weeks

Weekly study

5 hours

100% online

How it works

Unlimited subscription

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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.

What topics will you cover?

  • The Research Process
  • Planning for Analysis
  • Research claims
  • Measurement
  • Correlational and Experimental Designs.

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