In this course, you will learn the fundamentals of the research process—from developing a good question to designing good data collection strategies to putting results in context. Although the data scientist may often play a key part in data analysis, the entire research process must work cohesively for valid insights to be gleaned.
Developed as a language with statistical analysis and modeling in mind, R has become an essential tool for doing real-world Data Science. With this edition of Data Science Research Methods, all of the labs are done with R, while the videos are tool-agnostic.
What you will learn
After completing this course, you will be familiar with the following concepts and techniques:
Data analysis and inference
Data science research design
Experimental data analysis and modeling
Course Syllabus
- The Research Process
- Planning for Analysis
- Research Claims
- Measurement
- Correlational and Experimental Design
Note: This syllabus is preliminary and subject to change.