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.

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