Core Statistical Concepts: An Overview of Statistics & Sampling
Statistics | Beginner
- 7 videos | 47m 19s
- Includes Assessment
- Earns a Badge
With data now being one of the most valuable assets to tap into, the demand for data science skills increases by the day. Statistics and sampling are at the core of data science. Use this course as a theoretical introduction to using samples to reveal various statistics. Examine what exactly is meant by statistics and samples. Explore descriptive statistics, namely measures of central tendency and of dispersion. Study probability sampling techniques, including simple random sampling and cluster sampling. Investigate how undersampling and oversampling are used to generate more balanced datasets. Upon completion, you'll know the best way to use statistics and samples for your specific goals and needs.
WHAT YOU WILL LEARN
discover the key concepts covered in this coursedescribe what statistics, populations, and samples arerecognize how metrics such as mean, median and mode describe datarecall what information is conveyed by measures such as standard deviation and variance
summarize the workings a number of probability sampling techniquesoutline how to create balanced samples from an imbalanced datasetsummarize the key concepts covered in this course
IN THIS COURSE
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