Name: Statistical Tests in Sales and Marketing Course
Price: 36 USD

What You Learn

Master advanced statistics concepts and learn to strategically apply them to solve business challenges
Gain first-hand experience in how statistical analysis fuels data-driven decisions
Develop the expertise to independently select, apply, and interpret various types of tests, mastering the entire cycle of statistical analysis
Improve your Python problem-solving skills to solve complex statistical problems
Enhance your project portfolio with multiple real-world business case studies, demonstrating an ability to apply advanced statistics in practical settings
Advance your career with highly sought-after technical skills making you a valuable asset for any organization

Top Choice of Leading Companies Worldwide

Industry leaders and professionals globally rely on this top-rated course to enhance their skills.

Course Description

Our Statistical Tests in Sales and Marketing course explores how statistical analysis fuels data-driven decision-making. By delving into real-world case studies from sales and marketing, we demonstrate the practical use of statistical tools beyond crunching numbers. The course details the process of understanding, selecting, applying, and interpreting different statistical tests like the chi-square test of independence, t-test, Mann–Whitney U test, and more. Our premier data analysis course provides practical skills in employing statistical tests, interpreting results, and deriving actionable insights with Python. It focuses on applied knowledge rather than abstract theory—aiming to clarify statistics' role in solving sales and marketing challenges. From decoding market segmentation to assessing campaign impacts, we guide you on applying statistical analysis in marketing and sales and aid effective decision-making. Ultimately, statistics become a crucial tool—enabling informed, data-driven decisions that lead to success.

Learn for Free

1.1 Welcome to the World of Statistical Tests!

4 min

1.2 The Importance of Statistical Testing in Sales and Marketing

5 min

1.3 Course Approach

3 min

Interactive Exercises

Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.

Curriculum

1. Introduction to the Course

3 Lessons 12 Min

Explore our Statistical Tests in Sales and Marketing course to acquire essential knowledge for optimizing strategies and driving growth in your business through data-driven insights.

Welcome to the World of Statistical Tests!
4 min
The Importance of Statistical Testing in Sales and Marketing
5 min
Course Approach
3 min
2. Case 1: Chi-Square Test of Independence

16 Lessons 57 Min

Delve into fundamental concepts required to master statistical testing. Understand how the chi-square test of independence can reveal the relationships between categorical variables in sales and marketing contexts.

Case Description: Packaging Uniqueness
4 min
Research Question
2 min
Operationalization
3 min
Sample
4 min
Statistic and Parameter
2 min
Levels of Measurement
7 min
Contingency Table
5 min
Hypothesis Testing – Introduction
2 min
Null and Alternative Hypothesis
5 min
Test Statistic
2 min
P-value
3 min
Statistical Significance
4 min
Degrees of Freedom
4 min
Chi-Square Test - Introduction
4 min
Chi-Square Test of Independence
3 min
Case Summary and Discussion
3 min
3. Case 2: One-Sample t-test

9 Lessons 31 Min

The one-sample t-test assesses if a single sample's mean significantly differs from a known population mean. Learn how to apply this statistics technique to a marketing case study for informed decision-making.

Case Description: Price per Volume (PPV)
3 min
Mean and Median
2 min
Standard Deviation
4 min
Normal Distribution
4 min
Histogram
2 min
Q-Q plot
3 min
One-Sample t-Test
4 min
One- vs. Two-Tailed Tests
5 min
Case Summary and Discussion
4 min
4. Case 3: Two-Sample t-test

6 Lessons 21 Min

Discover how the two-sample t-test compares the means of two independent groups in the context of evaluating different marketing strategies.

Case Description: In-store Display
3 min
Dependent vs. Independent Variables
2 min
Shapiro-Wilk Test for Normality
3 min
Levene's Test for Equality of Variances
4 min
Two-Sample t-Test
6 min
Case Summary and Discussion
3 min
5. Case 4: Paired Samples t-Test

4 Lessons 12 Min

Uncover the applications of the paired samples t-test in comparing the means of the same group at different times using sales data before and after a campaign.

Case Description: Return Policy
3 min
Independent vs. Dependent Samples
2 min
Paired Samples t-Test
4 min
Case Summary and Discussion
3 min
6. Case 5: Mann-Whitney U Test

4 Lessons 15 Min

Learn how to use the Mann-Whitney U test to compare two independent groups when data doesn't follow a normal distribution.

Case Description: Sales Incentive Program
3 min
Parametric vs Non-Parametric Tests
3 min
Mann-Whitney U Test
6 min
Case Summary and Discussion
3 min
7. Wilcoxon Signed-Rank Test

3 Lessons 10 Min

Case Description: Package Redesign
2 min
Wilcoxon Signed-Rank Test
5 min
Case Summary and Discussion
3 min
8. Chi-Square Goodness-of-Fit Test

3 Lessons 10 Min

Case Description: Store Footfall
3 min
Chi-Square Goodness-of-Fit Test
4 min
Case Summary and Discussion
3 min
9. Conclusion

1 Lesson 2 Min

Conclusion
2 min

Topics

TheoryHypothesis TestingProgrammingStatisticsdata analysisData-driven decision-makingPython

Tools & Technologies

Course Requirements

Highly recommended to take the Intro to Python and Statistics courses first
You will need to install the Anaconda package, which includes Jupyter Notebook

Who Should Take This Course?

Level of difficulty: Beginner

Aspiring data analysts and data scientists
Current data analysts and data scientists who want to learn how to use advanced statistics for sales and marketing
Marketing and sales professionals who want to implement data-driven decision-making in their organization

Exams and Certification

A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.

Meet Your Instructor

Olivier Maugain

Data Governance Manager at IKEA

2 Courses

1645 Reviews

26701 Students

Olivier Maugain is a top-level executive at one of the global retail household brands. Previously, he served as Director of Analytics & Digital Technology at Henkel. His track record speaks for itself. He has worked in finance (Deloitte), advertising (Publics Media), FMCG, and chemical (Henkel) where he was involved in various projects for delivering innovative and collaborative business solutions. He spent some time in China and worked on several entrepreneurial ventures in software distribution. Olivier describes himself as a passionate data culturist. He speaks 5 languages, even 6 – if we count the language of data. In collaboration with 365, he aims to deliver courses on subjects like Data Literacy that will hopefully help many people learn the language of data – one of the most important tools in today’s business environment. In his current job, Olivier Maugain helps a major European retailer effectively move towards the rapid adoption of data-driven decision making. He has broad experience and specialized expertise in CRM, marketing efficiency, consumer insights, business optimization and modeling, product development, digital transformation, and business analytics.