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Statistics for Sales and Marketing (Udemy.com)

Leverage Data for Informed Decision-Making in Business: Take Full Advantage of Statistics and Statistical Testing

Created by: 365 Careers

Last updated May 2026

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What you will learn

  • Grasp the foundational concepts of statistics and their role in modern marketing and sales decision-making.
  • Explore real-life marketing scenarios where statistical tests drive smarter strategies.
  • Adapt your marketing strategies based on evidence, not guesswork, by applying statistical insights.
  • Identify the appropriate statistical tests (like chi-square and t-tests) for various marketing and sales questions.
  • Learn to run and interpret statistical analyses using Python and Jupyter Notebooks—even if you’re new to coding.
  • Develop the confidence to explain statistical results clearly and persuasively to non-technical stakeholders.
  • Evaluate the credibility of marketing studies and reports through critical analysis.
  • Demonstrate how data can uncover customer behavior, optimize campaigns, and enhance product strategies.

How it compares

Against the other 371 rated Udemy courses in Data Analysis on CourseDuck:

  • Rating4.6 out of 5higher than 73% of them
  • Reviews105#335 of 372 by number of reviews
  • Length2.8 hoursshorter than 69% of them
  • Last updatedMay 2026more recently than 73% of them

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Course Description

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!


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Instructor Details

365 Careers

365 Careers is the #1 best-selling provider of business, finance, data science and AI courses on Udemy. The company’s courses have been taken by more than 4,000,000 students in 210 countries. People working at world-class firms like Apple, PayPal, and Citibank have completed 365 Careers trainings.    

Currently, 365 focuses on the following topics on Udemy:    1) Finance – Finance fundamentals, Financial modeling in Excel, Valuation, Accounting, Capital budgeting, Financial statement analysis (FSA), Investment banking (IB), Leveraged buyout (LBO), Financial planning and analysis (FP&A), Corporate budgeting, applying Python for Finance, Tesla valuation case study, CFA, ACCA, and CPA

2) Data science – Statistics, Mathematics, Probability, SQL, Python programming, Python for Finance, Business Intelligence, R, Machine Learning, TensorFlow, Tableau, the integration of SQL and Tableau, the integration of SQL, Python, Tableau, Power BI, Credit Risk Modeling, and Credit Analytics, Data literacy, Product Management, Pandas, Numpy, Python Programming, Data Strategy

3) Entrepreneurship – Business Strategy, Management and HR Management, Marketing, Decision Making, Negotiation, and Persuasion, Tesla's Strategy and Marketing

4) Office productivity – Microsoft Excel, PowerPoint, Microsoft Word, and Microsoft Outlook

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Reviews

4.6

105 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Christian Burgos on 7/16/2025

Yes, the exercises were quite practical, and the theory was great.

By Juan Guillermo Betancourt on 1/23/2025

NO decia que era una ventaja saber Python

By HARRISON, GOGO ISAAC on 11/21/2024

It was a great course. I did not realize we had so much statistical tests.

By Tracy Renee on 11/19/2024

I have only just begun the course and hope that I expand upon my current knowledge of statistics.

By Naomi Mwangi on 9/9/2024

I am looking forward to learning more about the statistic in my current role to improve my performance in terms of number.

By Mariano Viola on 9/5/2024

good match. Course clears up many questions I had over A/B testing and other statistical testing methods. Course had clear explanations, good coding examples and relevant, practical case studies.

By Geraldine Mucelli on 8/20/2024

The explanations and the example are very pedagogical and well explained. Good to have Business case examples. The resources given in Python add clarity and gives practical examples.

By Yolanda Perdomo on 8/15/2024

The course exceeded my expectations. The examples were spot-on, making complex concepts easy to grasp and highly relevant to real-world applications. The Python exercises were particularly impressive, offering hands-on practice that reinforced the lessons perfectly. This course is a fantastic blend of theory and practical application—highly recommended for anyone looking to master statistical testing.

By Sophie Visser on 8/10/2024

Fantastic course! Highly practical and well-explained. The complex statistical concepts are broken down into clear, easy-to-understand lessons. What stands out are the practical examples that are directly applicable to real-world scenarios. Highly recommended!

By Ray on 8/1/2024

Awesome. Good pedagogy approach, supportive visuals, and practical case studies.

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Overall Score : 92 / 100