Statistics for Sales and Marketing

Statistics for Sales and Marketing, available at $44.99, has an average rating of 4.48, with 49 lectures, 15 quizzes, based on 20 reviews, and has 239 subscribers.

You will learn about Understand the fundamentals of statistics Learn the fundamentals of data-driven decision-making Obtain actionable insights from statistical tests Apply Python for Statistics Use statistical testing to improve your business Improve business strategy through statistical testing Acquire fundamental data analysis skills This course is ideal for individuals who are Aspiring Data Analysts and Data Scientists or Marketing Professionals or Business Analysts or Sales Managers and Sales Executives or Entrepreneurs and Business Owners or Statistics and Business students It is particularly useful for Aspiring Data Analysts and Data Scientists or Marketing Professionals or Business Analysts or Sales Managers and Sales Executives or Entrepreneurs and Business Owners or Statistics and Business students.

Enroll now: Statistics for Sales and Marketing

Summary

Title: Statistics for Sales and Marketing

Price: $44.99

Average Rating: 4.48

Number of Lectures: 49

Number of Quizzes: 15

Number of Published Lectures: 49

Number of Published Quizzes: 15

Number of Curriculum Items: 64

Number of Published Curriculum Objects: 64

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Understand the fundamentals of statistics
Learn the fundamentals of data-driven decision-making
Obtain actionable insights from statistical tests
Apply Python for Statistics
Use statistical testing to improve your business
Improve business strategy through statistical testing
Acquire fundamental data analysis skills

Who Should Attend

Aspiring Data Analysts and Data Scientists
Marketing Professionals
Business Analysts
Sales Managers and Sales Executives
Entrepreneurs and Business Owners
Statistics and Business students

Target Audiences

Aspiring Data Analysts and Data Scientists
Marketing Professionals
Business Analysts
Sales Managers and Sales Executives
Entrepreneurs and Business Owners
Statistics and Business students

Do you want to advance your career in Sales and Marketing?

Are you eager to leverage data for informed decision-making?

Well, you’ve come to the right place!

Statistics for Sales and Marketing is here for you!

This is the only course you need to take to start using statistical tests for informed business decisions. In no time, you will acquire the fundamental skills that will enable you to perform statistical tests applicable to real-life sales and marketing scenarios. We have created a course that is:

Easy to understand
Thorough
Hands-on
Concise
Loaded with practical exercises and resources
Focused on 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.

You will acquire practical skills in employing statistical tests, interpreting results, and deriving actionable insights with Python. The Statistics for Sales and Marketing course 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 from the best instructors

Olivier Maugain and Aastik Mahotra, seasoned industry experts, have joined forces to deliver a top-tier learning experience through this course. Both instructors bring a wealth of knowledge from their tenure at leading global corporations and are passionate about sharing their skills with those looking to elevate their data-driven decision-making capabilities. This course offers a unique chance to benefit from their extensive expertise as they guide you through the processes of performing statistical tests, leveraging the same techniques they’ve successfully applied at internationally acclaimed companies.

Get the course today

Please bear in mind that the course comes with Udemy’s 30-day unconditional money-back guarantee. And why not give such a guarantee? We are certain this course will provide a ton of value for you.

Click ‘Buy now’ and let’s start learning together today!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome to the World of Statistical Tests!

Lecture 2: The Importance of Statistical Testing in Sales and Marketing

Lecture 3: Course Approach

Chapter 2: Case 1: Chi-Square Test of Independence

Lecture 1: Case Description: Packaging Uniqueness

Lecture 2: Research Question

Lecture 3: Operationalization

Lecture 4: Sample

Lecture 5: Statistic and Parameter

Lecture 6: Levels of Measurement

Lecture 7: Contingency Table

Lecture 8: Hypothesis Testing – Introduction

Lecture 9: Null and Alternative Hypothesis

Lecture 10: Test Statistic

Lecture 11: P-value

Lecture 12: Statistical Significance

Lecture 13: Degrees of Freedom

Lecture 14: Chi-Square Test – Introduction

Lecture 15: Chi-Square Test of Independence

Lecture 16: Case Summary and Discussion

Chapter 3: Case 2: One-Sample t-Test

Lecture 1: Case Description: Price per Volume (PPV)

Lecture 2: Mean and Median

Lecture 3: Standard Deviation

Lecture 4: Normal Distribution

Lecture 5: Histogram

Lecture 6: Q-Q Plot

Lecture 7: One-Sample t-Test

Lecture 8: One- vs. Two-Tailed Tests

Lecture 9: Case Summary and Discussion

Chapter 4: Case 3: Two-Sample t-Test

Lecture 1: Case Description: In-store Display

Lecture 2: Dependent vs. Independent Variables

Lecture 3: Shapiro-Wilk Test for Normality

Lecture 4: Levene's Test for Equality of Variances

Lecture 5: Two-Sample t-Test

Lecture 6: Case Summary and Discussion

Chapter 5: Case 4: Paired Samples t-Test

Lecture 1: Case Description: Return Policy

Lecture 2: Independent vs. Dependent Samples

Lecture 3: Paired Samples t-Test

Lecture 4: Case Summary and Discussion

Chapter 6: Case 5: Mann-Whitney U Test

Lecture 1: Case Description: Sales Incentive Program

Lecture 2: Parametric vs. Non-Parametric Tests

Lecture 3: Mann-Whitney U Test

Lecture 4: Case Summary and Discussion

Chapter 7: Case 6: Wilcoxon Signed-Rank Test

Lecture 1: Case Description: Package Redesign

Lecture 2: Wilcoxon Signed-Rank Test

Lecture 3: Case Summary and Discussion

Chapter 8: Case 7: Chi-Square Goodness-of-fit Test

Lecture 1: Case Description: Store Footfall

Lecture 2: Chi-Square Goodness-of-Fit Test

Lecture 3: Case Summary and Discussion

Chapter 9: Conclusion

Lecture 1: Conclusion

Instructors

365 Careers
Creating opportunities for Data Science and Finance students
Olivier Maugain
Data Culturist

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3 stars: 2 votes
4 stars: 10 votes
5 stars: 8 votes

Frequently Asked Questions

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