This course is meant to be a direct continuation of "Statistics and Data Analysis with Excel, Part 1." Therefore, it is not recommended to take Part 2 unless you've also taken Part 1. Building on the topics learned in Part 1 of the course (probability, probability mass and density functions, the normal and standard normal distributions), this course dives into a more applied side of statistics. Topics in Part 2 include sampling distributions; one-sample hypothesis tests on the mean, variance, and binomial proportion; two-sample hypothesis tests (comparison of means, variances, and binomial proportions of samples drawn from two populations); simple (straight-line) regression; multilinear regression; and analysis of variance (ANOVA).
Statistics and Data Analysis with Excel, Part 2
Statistics and Data Analysis with Excel, Part 2
This course is part of Statistics and Applied Data Analysis Specialization
Instructor: Charlie Nuttelman
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Intermediate level
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2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Perform one- and two-sample hypothesis tests on the mean and variance to make statistical decisions.
Create and interpret predictive regression models (linear and multiple) from experimental data.
Use ANOVA (analysis of variance) to compare means of multiple samples.
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Assessments
20 assignments
Taught in English
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This course is part of the Statistics and Applied Data Analysis Specialization
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NF
Reviewed on Nov 2, 2025
A really great blend of some theory but a lot of practical experience using statistics in Excel. The course leader presents the material very clearly.
AC
Reviewed on Sep 11, 2024
The Specialization is a very thorough learning about Statistics with many examples for us to understand the principles. Some modules are hard but fun.
