About this Course

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Learner Career Outcomes

67%

started a new career after completing these courses

75%

got a tangible career benefit from this course

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 15 hours to complete

English

Subtitles: English

Skills you will gain

Data AnalysisMicrosoft ExcelStatistical Hypothesis Testing

Learner Career Outcomes

67%

started a new career after completing these courses

75%

got a tangible career benefit from this course

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 15 hours to complete

English

Subtitles: English

Offered by

Rice University logo

Rice University

Syllabus - What you will learn from this course

Content RatingThumbs Up94%(1,646 ratings)Info
Week
1

Week 1

4 hours to complete

Confidence Interval - Introduction

4 hours to complete
8 videos (Total 48 min), 8 readings, 7 quizzes
8 videos
Introducing the t-distribution, the T.DIST Function9m
t-distribution Continued, the T.INV Function5m
Introducing Confidence Interval8m
Introducing Confidence Interval (Continued)5m
The z-statistic and the t-statistic6m
Using z- and t- statistics to Construct Confidence Interval9m
Week 1 Recap51s
8 readings
Course FAQs10m
Pre-Course Survey10m
Slides, Lesson 110m
Slides, Lesson 210m
Slides, Lesson 310m
Slides, Lesson 410m
Slides, Lesson 510m
Slides, Lesson 610m
7 practice exercises
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Confidence Interval - Introduction1h
Week
2

Week 2

3 hours to complete

Confidence Interval - Applications

3 hours to complete
6 videos (Total 43 min), 6 readings, 6 quizzes
6 videos
Confidence Interval for a Population Proportion10m
Sample Size Calculation8m
Sample Size Calculation (Continued)4m
Hypothesis Testing, An Introduction6m
Week 2 Recap40s
6 readings
Home_Sizes.xlsx10m
Slides, Lesson 110m
Slides, Lesson 210m
Slides, Lesson 310m
Slides, Lesson 410m
Slides, Lesson 510m
6 practice exercises
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Confidence Interval - Applications1h
Week
3

Week 3

4 hours to complete

Hypothesis Testing

4 hours to complete
7 videos (Total 57 min), 7 readings, 7 quizzes
7 videos
Conducting a Hypothesis Test, the Four Steps7m
Single Tail and Two Tail Hypothesis Tests11m
Guidelines, Formulas and an Application of Hypothesis Test13m
Hypothesis Test for a Population Proportion9m
Type I and Type II Errors in a Hypothesis Test7m
Week 3 Recap49s
7 readings
Slides, Lesson 110m
Slides, Lesson 210m
Slides, Lesson 310m
Average Age.xlsx10m
Slides, Lesson 410m
Slides, Lesson 510m
Slides, Lesson 610m
7 practice exercises
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Hypothesis Testing1h
Week
4

Week 4

5 hours to complete

Hypothesis Test - Differences in Mean

5 hours to complete
7 videos (Total 86 min), 12 readings, 7 quizzes
7 videos
Application of the Difference-In-Means Hypothesis Test7m
Application (Continued) - Equal & Unequal Variance Assumption13m
The Paired t-Test for Means17m
Some More Applications20m
Some More Applications (Continued)9m
Week 4 Recap49s
12 readings
Athletes.xlsx10m
Slides, Lesson 110m
Slides, Lesson 210m
Athletes.xlsx10m
Slides, Lesson 310m
Training.xlsx10m
Slides, Lesson 410m
Store Sales10m
Slides, Lesson 510m
Age Data10m
Slides, Lesson 610m
End-of-Course Survey10m
7 practice exercises
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Hypothesis Test - Differences in Mean1h

About the Business Statistics and Analysis Specialization

The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem. To successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. To see an overview video for this Specialization, click here!...
Business Statistics and Analysis

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

More questions? Visit the Learner Help Center.