Simple Descriptive Statistics

Data Science
  • 10 Videos | 1h 14m 1s
  • Includes Assessment
  • Earns a Badge
Likes 95 Likes 95
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

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform

Digital badges are yours to keep, forever.

YOU MIGHT ALSO LIKE

COURSE Statistical Analysis and Modeling in R: Understanding & Interpreting Statistical Tests
Likes 1 Likes 1  
COURSE Statistical Analysis and Modeling in R: Working with Probability Distributions
Likes 0 Likes 0  
COURSE Data Science Statistics: Applied Inferential Statistics
Likes 27 Likes 27  

PEOPLE WHO VIEWED THIS ALSO VIEWED THESE

COURSE Getting to Know Macros in Excel
Likes 132 Likes 132  
COURSE Data Science Statistics: Using Python to Compute & Visualize Statistics
Likes 31 Likes 31  
COURSE Key Statistical Concepts
Likes 128 Likes 128