Simple Descriptive Statistics
Data Science
| Beginner
- 10 Videos | 1h 10m 1s
- Includes Assessment
- Earns a Badge
Along the career path to Data Science, a fundamental understanding of statistics and modeling is required. The goal of all modeling is generalizing as well as possible from a sample to the population of big data as a whole. In this 10-video Skillsoft Aspire course, learners explore the first step in this process. Key concepts covered here include the objectives of descriptive and inferential statistics, and distinguishing between the two; objectives of population and sample, and distinguishing between the two; and objectives of probability and non-probability sampling and distinguishing between them. Learn to define the average of a data set and its properties; the median and mode of a data set and their properties; and the range of a data set and its properties. Then study the inter-quartile range of a data set and its properties; the variance and standard deviation of a data set and their properties; and how to differentiate between inferential and descriptive statistics, the two most important types of descriptive statistics, and the formula for standard deviation.
WHAT YOU WILL LEARN
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enumerate objectives of descriptive and inferential statistics and distinguish between the twoenumerate objectives of population and sample and distinguish between the twoenumerate objectives of probability and non-probability sampling and distinguish between the twodefine the mean of a dataset and enumerate its propertiesdefine the median and mode of a dataset and enumerate their properties
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define the range of a dataset and enumerate its propertiesdefine the inter-quartile range of a dataset and enumerate its propertiesdefine the variance and standard deviation of a dataset and enumerate their propertiesdifferentiate between inferential and descriptive statistics, enumerate the two most important types of descriptive statistics, and define the formula for standard deviation
IN THIS COURSE
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1.Course Overview2m 44sUP NEXT
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2.Descriptive and Inferential Statistics6m
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3.Population vs. Sample8m 37s
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4.Probability vs. Non-Probability Sampling6m
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5.Mean8m 35s
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6.Median8m 39s
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7.Mode7m 7s
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8.IQR9m 8s
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9.Variance8m 8s
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10.Exercise: Using Descriptive Statistics5m 3s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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