Excel Statistics / Data Analytics
Excel Statistics / Data Analytics, available at $54.99, has an average rating of 4.6, with 14 lectures, 3 quizzes, based on 169 reviews, and has 724 subscribers.
You will learn about 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 This course is ideal for individuals who are 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 or Those looking to increase their knowledge of Data Analytics or Everyone looking to augment their job skills in this important and fast growing area or Those looking to gain a strong command of data analytics It is particularly useful for 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 or Those looking to increase their knowledge of Data Analytics or Everyone looking to augment their job skills in this important and fast growing area or Those looking to gain a strong command of data analytics.
Enroll now: Excel Statistics / Data Analytics
Summary
Title: Excel Statistics / Data Analytics
Price: $54.99
Average Rating: 4.6
Number of Lectures: 14
Number of Quizzes: 3
Number of Published Lectures: 14
Number of Published Quizzes: 3
Number of Curriculum Items: 17
Number of Published Curriculum Objects: 17
Original Price: $64.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- 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
Target Audiences
- 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
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:
- How to perform the analysis step-by-step in Microsoft Excel
- What the results mean in clear, yet accurate language
- 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!
Course Curriculum
Chapter 1: Course Introduction, Installing the Analysis ToolPak, & Descriptive Statistics
Lecture 1: Introduction
Lecture 2: Installing the Data Analysis Toolpak in Excel
Lecture 3: Descriptive Statistics in Excel – One Variable
Lecture 4: Descriptive Statistics in Excel – Two or More Variables
Chapter 2: Inferential Statistics – Tests of Two Means
Lecture 1: Independent Samples t Test
Lecture 2: Dependent Samples t Test
Chapter 3: Inferential Statistics – ANOVA (Analysis of Variance)
Lecture 1: One-way ANOVA
Lecture 2: Post-Hoc Tests
Chapter 4: Inferential Statistics – Correlation and Regression
Lecture 1: Correlation (Part 1)
Lecture 2: Correlation (Part 2)
Lecture 3: Correlation with Three or More Variables
Lecture 4: Multiple Regression (Part 1)
Lecture 5: Multiple Regression (Part 2)
Chapter 5: Conclusion
Lecture 1: Conclusion and other Courses by Quantitative Specialists
Instructors
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Quantitative Specialists
Specializing in Statistics, Research Design, and Measurement
Rating Distribution
- 1 stars: 3 votes
- 2 stars: 3 votes
- 3 stars: 20 votes
- 4 stars: 65 votes
- 5 stars: 78 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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