# Course details

Data Science Statistics: Simple Descriptive Statistics

### Data Science Statistics: Simple Descriptive Statistics

Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level

Overview/Description

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.

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:
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Expertise Level
Beginner