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Course Description

Statistics for Data Analytics is designed to help you acquire fundamental statistics skills that can be applied to statistical analysis in data analytics or data science situations.

Course Outline

  • Statistics Introduction
  • Descriptive Statistics
  • Graphing Distributions
  • Summarizing Distributions
  • The Binomial Distribution
  • The Normal Distribution
  • Sampling Distributions and the Central Limit Theorem
  • Confidence Intervals
  • Hypothesis Tests
  • The t-Distribution
  • Correlation and Regression

Learner Outcomes

  • Learn and understand the statistical skills needed for data analytics or data science
  • Learn how to calculate the measures of central tendency and variability
  • Understand the difference between descriptive versus inferential statistics
  • Understand Quantitative versus Qualitative variable and how to plot different types of data
  • Work with different types of distributions
  • Understand Data-Driven Decisions

Prerequisites

There are not prerequisites for this class.

Duration

2 Days | 4 Nights

Applies Towards the Following Certificates

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Enroll Now - Select a section to enroll in
Section Title
Statistics for Data Analytics
Type
Instructor-Led
Days
T, Th
Time
5:30PM to 8:30PM
Dates
Aug 10, 2021 to Aug 19, 2021
Schedule and Location
# of Course Hours
12.0
Delivery Option
Course Fee(s)
Rate non-credit $1,795.00
Potential Discount(s)
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*Academic Unit eligibility to be determined by college/university in which you are enrolled in a degree seeking program.