SQL for Statistics Essential Training

SQL for Statistics Essential Training

49mIntermediate2018-03-09

Authors

Dan Sullivan

Dan Sullivan

Enterprise Architect, Big Data Expert

Course details

Descriptive statistics help us understand the overall structure of data, and SQL is the most widely used language for manipulating it. Together, they can help data analysts derive better insights and make far-reaching predictions. This course provides an overview of basic descriptive statistics and the SQL commands you need to know to summarize data sets, find averages, and calculate variance and standard deviation. Instructor Dan Sullivan also introduces more detailed analysis techniques using discreet and continuous percentiles to help segment data, and correlations between variables to identify relationships. He concludes with an introduction to linear regression, a widely used predictive analytics technique.

Learning objectives
Define variance and standard deviation.
Calculate discrete percentiles.
Calculate continuous percentiles.
Analyze correlations.
Explore linear models, such as linear regression.

Skills covered

PostgreSQLDatabase AdministrationDatabase DevelopmentDatabase ManagementData AnalysisEssential TrainingProgramming LanguagesData ScienceBusiness Analysis and StrategyBusiness Software and ToolsOpen SourceSoftware Development

Concepts

Introduction

  • Welcome
  • What you should know
  • Exercise files

Basic Descriptive Statistics

  • Installing PostgreSQL
  • Load data into PostgreSQL
  • Basics - Count, minimum, and maximum
  • Basics - Sum and average
  • Variance and standard deviation

Percentiles and Frequencies

  • Introduction to percentiles
  • Discrete percentiles
  • Continuous percentiles
  • Summary of percentiles

Correlations and Ranks

  • Introduction to correlation
  • Correlations between variables
  • ROW NUMBER
  • Mode
  • Summary of correlations

Linear Models

  • Introduction to linear regression
  • Minimizing error
  • Computing intercept
  • Computing slope

Conclusion

  • Overview of SQL for statistics
40,000 Toman