Simple Descriptive Statistics

Data Science    |    Beginner
  • 10 videos | 1h 10m 1s
  • Includes Assessment
  • Earns a Badge
Rating 4.2 of 319 users Rating 4.2 of 319 users (319)
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

  • Enumerate objectives of descriptive and inferential statistics and distinguish between the two
    Enumerate objectives of population and sample and distinguish between the two
    Enumerate objectives of probability and non-probability sampling and distinguish between the two
    Define the mean of a dataset and enumerate its properties
    Define the median and mode of a dataset and enumerate their properties
  • Define the range of a dataset and enumerate its properties
    Define the inter-quartile range of a dataset and enumerate its properties
    Define the variance and standard deviation of a dataset and enumerate their properties
    Differentiate between inferential and descriptive statistics, enumerate the two most important types of descriptive statistics, and define the formula for standard deviation

IN THIS COURSE

  • 2m 44s
  • 6m
    Learn how to list objectives of descriptive and inferential statistics and distinguish between the two. FREE ACCESS
  • Locked
    3.  Population vs. Sample
    8m 37s
    During this video, you will learn how to list objectives of population and sample and distinguish between the two. FREE ACCESS
  • Locked
    4.  Probability vs. Non-Probability Sampling
    6m
    In this video, learn how to list objectives of probability and non-probability sampling and distinguish between the two. FREE ACCESS
  • Locked
    5.  Mean
    8m 35s
    In this video, you will learn how to define the mean of a dataset and enumerate its properties. FREE ACCESS
  • Locked
    6.  Median
    8m 39s
    In this video, you will learn how to define the median and mode of a dataset and list their properties. FREE ACCESS
  • Locked
    7.  Mode
    7m 7s
    During this video, you will learn how to define the range of a dataset and list its properties. FREE ACCESS
  • Locked
    8.  IQR
    9m 8s
    Learn how to define the inter-quartile range of a dataset and list its properties. FREE ACCESS
  • Locked
    9.  Variance
    8m 8s
    Learn how to define the variance and standard deviation of a dataset and list their properties. FREE ACCESS
  • Locked
    10.  Exercise: Using Descriptive Statistics
    5m 3s
    In this video, you will learn how to differentiate between inferential and descriptive statistics, enumerate the two most important types of descriptive statistics, and define the formula for standard deviation. FREE ACCESS

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