Introduction to Statistics for Data Analysts II

Master valid inference techniques for two-sample and two-variable data. Transform your analytical skills and answer complex data questions with confidence!

3 hours
30 lessons
453 xp

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An outline of this training course

Master the skill of identifying relationships in data with our advanced statistics course by Dr. Andrew Gard. Building on key techniques from the first course, this class focuses on tools for analyzing the relationship between two variables. Learn to answer questions about how variables or different populations relate, and apply these methods to real-life scenarios. Dr. Gard’s practical approach helps you select the right tests, avoid common pitfalls, and draw valid conclusions. Enhance your data analysis expertise and uncover meaningful insights. Join us to take your statistical skills to the next level!

 

What is needed to take this course 

Participants of this course must have basic knowledge and understanding of variable types, and descriptive and inferential statistics. No other advanced preparation is needed to take this course.

Although the demonstrations in the course are done in R, they are intended to be generalizable to Python or any other statistical software you choose to use. Knowledge of R is not a prerequisite for taking this course.

 

Who is the course for

Anyone working with data and attempting to draw constructive, generalizable conclusions from data

 

Details of what you will learn during this course

By the end of this course, you will:

  • Possess a toolkit of statistical techniques to compare two potentially different samples of a single variable
  • Possess a toolkit of statistical techniques to assess relationships between two variables in a single population
  • Learn common pitfalls of two-sample and two-variable inference including over-generalization
  • Gain an understanding of the dangers of data dredging
  • Obtain the ability to apply two-sample and two-variable techniques in real-life data analysis

 

What you get with the course

  • A three-hour self-paced video training
  • Resource pack that includes data source files and R scripts
  • One final assessment (Quiz)

 

Program Level

Intermediate

 

Field(s) of Study

Statistics

 

Instruction Delivery Method

QAS Self-study

 

***This course was published in April 2023

 

Enterprise DNA is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org

What our

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Curriculum
1

Course Overview


2

Resources


3

Introduction


4

Two-Sample Inference


5

Two-Variable Inference


6

Course Wrap Up


7

Quiz


8

Your Feedback

Free

9

Certification


10

Continuous Learning


Your

Instructor
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Andrew Gard

Enterprise DNA Expert

  • Creator of the popular YouTube channel, Equitable Equations, which teaches practical statistics, data science, and R programming 
  • Professor of mathematics and computer science at Lake Forest College, located near Chicago, USA 
  • Author of the R package fqar, which facilitates the analysis of large floristic quality data sets 
  • PhD in mathematics from The Ohio State University 
  • Area of specialization: data analysis with R. I integrate both domain expertise and technical data science to provide deep answers to real-world data questions while respecting and quantifying the uncertainty inherent in the data. 

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