Microsoft Future Ready: Data Science Research Methods on Python Programming
- Offered byFutureLearn
Microsoft Future Ready: Data Science Research Methods on Python Programming at FutureLearn Overview
Microsoft Future Ready: Data Science Research Methods on Python Programming
at FutureLearn
Duration | 3 weeks |
Total fee | ₹900 |
Mode of learning | Online |
Official Website | Go to Website |
Credential | Certificate |
Microsoft Future Ready: Data Science Research Methods on Python Programming at FutureLearn Highlights
Microsoft Future Ready: Data Science Research Methods on Python Programming
at FutureLearn
- Duration 3 weeks
- Weekly study 5 hours
- 100% online Learn at your own pace
Microsoft Future Ready: Data Science Research Methods on Python Programming at FutureLearn Course details
Microsoft Future Ready: Data Science Research Methods on Python Programming
at FutureLearn
Skills you will learn
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.
Microsoft Future Ready: Data Science Research Methods on Python Programming at FutureLearn Curriculum
Microsoft Future Ready: Data Science Research Methods on Python Programming
at FutureLearn
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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