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Foundational Statistics

This course will provide a practical, hands-on foundation in basic statistics. It will begin by covering the essential concepts and steps to data-driven decision making through asking effective questions based on your stakeholders’ needs. It will then move into descriptive statistics, enabling you to understand and explain the essential qualities of a dataset such as its measures of central tendency (mean, median, mode) and variability (interquartile range, standard deviation). The course will conclude with inferential statistics, giving you the skills you need to draw conclusions about a population based on data from a sample. Analyses covered will include correlation, t-test, and simple and multiple linear regressions.

COURSE TOPICS

  • Introduction to data-driven decision-making

  • Descriptive statistics

  • Central tendency (Mean, median, mode, minimum, maximum, range, histograms)

  • Variability (interquartile range, standard deviation)
  • Central limit theorem, confidence intervals, hypothesis testing

  • Inferential statistics

  • T-tests, ANOVA, correlation, linear and multiple regression

 

This course is eligible towards the completion of the Certificate in Data Analytics. Bundle your coursework and earn a professional credential that communicates knowledge and skills gained. Declared Certificate students receive 10% off of courses within the program.

 
 

More details

You'll Walk Away with

  • The ability to discuss how data can be leveraged throughout the various stages of a decision-making process
  • The ability to read and communicate the results of an analysis
  • A foundation in descriptive and inferential statistics

2 sections

  • Summer 2024

    • Section

      001
    • Semester

      Summer 2024
    • Date

      May 20 - Jul 3
    • Day

      M, W
    • Time

      12:00PM-2:00PM
      • Online
    • Format

      Online
      • Online
    • Sessions

      12
    • Location

      Instructor Led
    • Section

      002
    • Semester

      Summer 2024
    • Date

      May 20 - Jul 3
    • Day

      M, W
    • Time

      6:00PM-8:00PM
      • Online
    • Format

      Online
      • Online
    • Sessions

      12
    • Location

      Instructor Led
Toggle

    • Section

      3
    • Semester

      Spring 2024
    • Date

      Feb 7 - May 1
    • Day

      Wednesday
    • Time

      6:00PM-8:00PM
      • Online
    • Format

      Online
      • Online
    • Sessions

      12
    • Faculty

      Yarish, Mark
    • Location

      Instructor Led
    Tuition $995
    • Section

      4
    • Semester

      Spring 2024
    • Date

      Feb 7 - May 1
    • Day

      Wednesday
    • Time

      6:00PM-8:00PM
      • Online
    • Format

      Online
      • Online
    • Sessions

      12
    • Location

      Instructor Led
    Tuition $995