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Microsoft Future Ready: Data Science Research Methods on Python Programming 

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Microsoft Future Ready: Data Science Research Methods on Python Programming
 at 
FutureLearn 
Overview

Duration

3 weeks

Total fee

900

Mode of learning

Online

Official Website

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Credential

Certificate

Microsoft Future Ready: Data Science Research Methods on Python Programming
 at 
FutureLearn 
Highlights

  • Duration 3 weeks
  • Weekly study 5 hours
  • 100% online Learn at your own pace
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Microsoft Future Ready: Data Science Research Methods on Python Programming
 at 
FutureLearn 
Course details

More about this course
  • Although data scientists often focus on data analysis, they must understand the research process to gain valid insights from this work. This course covers the fundamentals of data research - from developing a good question to designing good data collection strategies that will put your results in context.
  • Upon completion of the course, you will have a basic understanding of data analysis and inference, and data science research design. You'll also explore experimental data analysis and modelling.
  • Data is only as good as its source - without this key information, it can be difficult to query the validity or context of your data, or make robust statements as a result of your analysis. This course will help you to understand the research process and grow your knowledge of the planning required for high quality analysis.
  • You'll build your understanding of the process so that you can properly query your own and external data for more robust analysis.
  • That includes understanding how to partition data, test hypothesis, and use inference.
  • In this course, all of the labs are done with Python, while the videos are language-agnostic. By the end, you'll understand the basics of the research process, you'll be able to plan for analysis, and you'll know the basics of correlational and experimental design.
  • Developing practical skills across research methods and Python programming will mean that you have some of the most in-demand skills within data science. Jobs in the industry have grown 37% in the last three years, while salaries have grown 11-14% year on year, making it an excellent area to start or change careers today.
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Microsoft Future Ready: Data Science Research Methods on Python Programming
 at 
FutureLearn 
Curriculum

Course Introduction

About this Course

The Research Process

The Psychology of Providing Data

CloudSwyft Hands-On Lab 1

Planning for Analysis

Wrapping up the Week

Research Claims, Measurement and Correlation and Experimental Design

Power and Sample Size Planning

Research Practices

CloudSwyft Hands-On Lab 2

Frequency Claims

Association Claims

Causal Claims

CloudSwyft Hands-On Lab 3

Wrapping Up the Week

Measurement, Correlational and Experimental Design

Survey Design and Measurement

Reliability and Validity

CloudSwyft Hands-On Lab 4

Bivariate and Multivariate Designs

Between and Within Groups Experimental Designs

Factorial Designs

CloudSwyft Hands-On Lab 5

Wrapping Up the Course

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Microsoft Future Ready: Data Science Research Methods on Python Programming
 at 
FutureLearn 

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