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
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Discover the key concepts covered in this course
Describe what statistics, populations, and samples are
Recognize how metrics such as mean, median and mode describe data
Recall what information is conveyed by measures such as standard deviation and variance -
Summarize the workings a number of probability sampling techniques
Outline how to create balanced samples from an imbalanced dataset
Summarize the key concepts covered in this course
IN THIS COURSE
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2m 36s
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6m 11s
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3. Measures of Central Tendency9m 19s
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4. Measures of Dispersion9m 36s
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5. Sampling Techniques12m 58s
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6. Working with Imbalanced Data4m 51s
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7. Course Summary1m 49s
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