Excel Statistics / Data Analytics
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Excel Statistics / Data Analytics

Get Marketable Data Analytic Skills Using the Microsoft Excel Data Analysis ToolPak
4.1 (7 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
66 students enrolled
Last updated 1/2017
English
Curiosity Sale
Current price: $10 Original price: $75 Discount: 87% off
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Includes:
  • 1.5 hours on-demand video
  • 8 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Run a variety of statistical analyses in Excel (using the Analysis Toolpak), know when to use a given statistical procedure covered in this course, and know how to make a proper conclusion from a statistical test, including professionally written results
View Curriculum
Requirements
  • Learn how to conduct and interpret statistical analysis in Microsoft Excel
  • A PC computer (not a Mac) is required to use the Data Analysis Toolpak in Excel (Microsoft no longer supports the toolpak for Macs; it cannot be installed unless using a PC)
  • Learn how to interpret the results of statistical analyses, including proper conclusions from the tests
  • Learn how to express statistical results in a professionally written format
  • Learn from a PhD award-winning instructor and textbook author with over 20 years experience teaching statistics!
  • Check out all of our highly-rated courses in Udemy for other examples of our content
Description

Get marketable data analytic skills in this course using Microsoft Excel. This course will substantially increase your knowledge of data analytics using the extremely popular Microsoft Excel software program, with a focus in the area of significance testing, an important tool for A/B testing and product assessment.

Many tests covered, including different t tests, ANOVA, post hoc tests, correlation, and regression. 

This course is great for professionals, as it provides step by step instruction of tests with clear and accurate explanations. Get ahead of the competition and make these tests important parts of your data analytic toolkit!

Students will also have the tools needed to succeed in their statistics and experimental design courses. 

In this course, a number statistical procedures will be covered in Microsoft Excel using the Data Analysis TookPak.

The following statistical procedures will be covered in this course:

  • Central Tendency (Mean, Median, Mode)
  • Variability (Standard Deviation, Variance, Range)
  • t tests (Independent t and Dependent t)
  • Analysis of Variance (ANOVA)
  • Post Hoc Tests
  • Correlation
  • Multiple Regression 

For each test, we will cover:

  1. How to perform the analysis step-by-step in Microsoft Excel
  2. What the results mean in clear, yet accurate language
  3. How to effectively, accurately, and professionally communicate the results to others, clearly demonstrating your understanding of the material.

Enroll in this course and obtain important marketable data analytic skills today!

Who is the target audience?
  • Students seeking to learn more about conducting statistical analyses, and how to properly interpret those analyses (valid conclusions to make), including how to write the results professionally and succinctly
  • Those looking to increase their knowledge of Data Analytics
  • Everyone looking to augment their job skills in this important and fast growing area
  • Those looking to gain a strong command of data analytics
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Curriculum For This Course
14 Lectures
01:36:01
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Course Introduction, Installing the Analysis ToolPak, & Descriptive Statistics
4 Lectures 22:22

In this video, the course is introduced, including the topics covered and the goals and objectives of the course. 

Important note: for those who want to run the analyses in Excel using the Data Analysis ToolPak, it is necessary that you have access to a PC (not a Mac). So if you are exclusively a Mac user, while you will learn how to understand and accurately interpret the results of some of the most popular statistical procedures using Excel, as well as how to express the results in a precise, accurate, and widely accepted format, you will not be able to run them on your own computer. Feel free to watch the next video, installing the Data Analysis ToolPak in Excel, if you would like to assess whether or not you have access Microsoft Excel the Data Analysis ToolPak on your computer.

Preview 05:27

This video illustrates how to install the Data Analysis ToolPak in Microsoft Excel. While available on PCs (not Macs), the ToolPak needs to be activated in Excel in order to be utilized. This video illustrates how to make it available in Excel.

  • For all of the statistics videos in the course (all videos onward), the Excel file containing the data, the results (output), and all notes used in the videos (including written results) are included as downloadable content within each video.
Preview 02:04

This video examines how to conduct and interpret a number of statistics in Excel, including the mean, median, mode, standard deviation, and range, among others.

  • The Descriptive Statistics.xlsx Excel file used in this video is attached (renamed Descriptive Statistics - One Variable to avoid confusion with the next lecture). There are 2 sheet tabs in the Excel File: Data (the numbers), Results and Notes (the Excel output and notes from the video included). The sheet tabs are located at the bottom left-hand corner of the Excel spreadsheet.


Descriptive Statistics in Excel - One Variable
04:48

This video examines how to conduct a number of statistics in Excel on two variables, including the mean, median, mode, standard deviation, variance, range, and many others.

  • The Descriptive Statistics.xlsx Excel file used in this video is attached. There are 2 sheet tabs in the Excel File: Data (the numbers), Results (the Excel output and notes from the video included). The sheet tabs are located at the bottom left-hand corner of the Excel spreadsheet.


Descriptive Statistics in Excel - Two or More Variables
10:03
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Inferential Statistics - Tests of Two Means
2 Lectures 18:18

In this video, the independent samples t test is covered, which is used for testing whether two separate or unrelated groups (also called 'independent') differ significantly on some variable.

  • The iPhone.xlsx Excel file used in this video is attached. There are 3 sheet tabs in the Excel File: Data (the numbers), Results (the t test table), and Notes (all of the written notes used in the video). The sheet tabs are located at the bottom left-hand corner of the Excel spreadsheet.


Independent Samples t Test
08:19

In this video, the dependent samples t test is covered, which is used for testing differences between two identical (same people measured twice) or related groups. The most common application of this test is the pretest - posttest design, where people do some task twice (such as taking the SAT at pre-treatment and again at post-treatment).

  • The Dependent t.xlsx Excel file used in this video is attached. There are 2 sheet tabs in the Excel File: Data (the numbers), Results (the Excel output and notes from the video included). The sheet tabs are located at the bottom left-hand corner of the Excel spreadsheet.


Dependent Samples t Test
09:59

This quiz covers concepts related to the independent and dependent samples t tests.

T Tests
3 questions
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Inferential Statistics - ANOVA (Analysis of Variance)
2 Lectures 25:00

In this video, the one-way ANOVA is covered, a popular test which is used for testing for significance between two or more groups. While often used when there are three or more groups, it is completely fine to use when there are only two groups as well.

  • The ANOVA.xlsx Excel file used in this video is attached. There are 3 sheet tabs in the Excel File: Data (the numbers), Results (the ANOVA table), and Notes (all of the written notes used in the video). The sheet tabs are located at the bottom left-hand corner of the Excel spreadsheet.
One-way ANOVA
10:09

In this video, post-hoc tests are conducted. Post-hoc (after the fact) tests are conducting following a significant one-way ANOVA in order to determine which groups are significant different from each other (and which, if any, are not significantly different). 

  • The ANOVA post hoc.xlsx Excel file used in this video is attached. There are 5 sheet tabs in the Excel File: Data (the numbers), Results 1 - 3 (the post hoc results, each in a different sheet tab), and Notes (all of the written notes used in the video). The sheet tabs are located at the bottom left-hand corner of the Excel spreadsheet.


Post-Hoc Tests
14:51

ANOVA and post hoc tests
3 questions
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Inferential Statistics - Correlation and Regression
5 Lectures 28:13

In this video, the correlation coefficient – one of the most popular statistical procedures - is covered.

  • The Correlation.xlsx Excel file used in this video is attached. There are 2 sheet tabs in the Excel File: Data (the numbers), Results (the Excel output and notes from the video included). The sheet tabs are located at the bottom left-hand corner of the Excel spreadsheet.


Correlation (Part 1)
02:13

This video covers part 2 of conducting and interpreting the correlation coefficient in Excel.

  • Please see part 1 for the data file and output for correlation.
Preview 05:15

This video builds on the previous videos on correlation by illustrating how to analyze and interpret correlations of more than two variables at once in Excel

Correlation with Three or More Variables
04:28

This video covers part 1 of multiple regression, a very commonly used procedure in many different fields.

  • The multiple regression.xlsx Excel file used in this video is attached. There are 2 sheet tabs in the Excel File: Data (the numbers), Results (the Excel output and notes from the video included). The sheet tabs are located at the bottom left-hand corner of the Excel spreadsheet.
  • The excel file covers both parts 1 and 2 of multiple regression in this course (one file for both videos).


Multiple Regression (Part 1)
06:41

In this video, part 2 of multiple regression is covered.

Multiple Regression (Part 2)
09:36

Correlation and Regression
3 questions
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Conclusion
1 Lecture 02:08

In this video, a conclusion to the course is provided. Thanks to everyone for enrolling in the course - I sincerely hope you enjoyed it!

If you haven't already, please take a few moments to post a review - I would greatly appreciate it. Thanks!

Our Introduction to Statistics course can be found here:

https://www.udemy.com/introduction-to-statistics/

Also, we have a number of other courses in statistical analysis, including Factorial ANOVA, Survey Data and Likert Scales, MANOVA, Inferential Statistics, and Descriptive Statistics. These courses illustrate statistical concepts using the SPSS software program. They can all be found on Udemy by using the search term: Quantitative Specialists



Conclusion and other Courses by Quantitative Specialists
02:08
About the Instructor
Quantitative  Specialists
4.3 Average rating
470 Reviews
5,211 Students
9 Courses
Specializing in Statistics, Research Design, and Measurement

Quantitative Specialists (QS) was founded by an award-winning university instructor who has taught statistics courses for over 15 years. At QS, we are passionate about all things statistical, especially in helping others understand this often-feared subject matter. Our focus is in helping you to succeed in all your statistics work!