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Data Science Statistics: Simple Descriptive Statistics

Data Science Statistics: Simple Descriptive Statistics


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

On 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 thius Skillsoft Aspire course, you will explore the first step in this process, obtaining a representative sample from which meaningful generalizable insights can be obtained.



Expected Duration (hours)
1.2

Lesson Objectives

Data Science Statistics: Simple Descriptive Statistics

  • Course Overview
  • 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
  • Course Number:
    it_dssds1dj_01_enus

    Expertise Level
    Beginner