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  • Statistical Tests in Sales and Marketing

Statistical Tests in Sales and Marketing

with Olivier Maugain and Ivan Manov and Aastik Malhotra
4.9/5
(113)

Master advanced statistics for Sales and Marketing: Leverage Python to make data-driven decisions and boost performance

3 hours of content 1390 students

$99.00

Lifetime access

Buy now
14-Day Money-Back Guarantee

What you get:

  • 3 hours of content
  • 41 Interactive exercises
  • 43 Downloadable resources
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

Statistical Tests in Sales and Marketing

A course by Olivier Maugain and Ivan Manov and Aastik Malhotra

$99.00

Lifetime access

Buy now
14-Day Money-Back Guarantee

What you get:

  • 3 hours of content
  • 41 Interactive exercises
  • 43 Downloadable resources
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

$99.00

Lifetime access

Buy now

$99.00

Lifetime access

Buy now
14-Day Money-Back Guarantee

What you get:

  • 3 hours of content
  • 41 Interactive exercises
  • 43 Downloadable resources
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

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.
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Learn for Free

Welcome to the World of Statistical Tests!

1.1 Welcome to the World of Statistical Tests!

4 min

The Importance of Statistical Testing in Sales and Marketing

1.2 The Importance of Statistical Testing in Sales and Marketing

5 min

Course Approach

1.3 Course Approach

3 min

Case Description: Packaging Uniqueness

2.1 Case Description: Packaging Uniqueness

4 min

Research Question

2.2 Research Question

2 min

Operationalization

2.4 Operationalization

3 min

Interactive Exercises

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

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

true-false exercise
single-choice exercise
multiple-choice exercise
flashcards exercise
fill-blank-typing exercise
fill-blank-selection exercise
order exercise
categorize exercise

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 on Chi-Square Test of Independence
    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 on One-Sample t-test
    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 on Two-Sample t-Test
    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 on Paired Samples t-Test
    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 on Mann-Whitney U Test
    3 min
  • 7. Wilcoxon Signed-Rank Test
    3 Lessons 10 Min
    The Wilcoxon signed-rank test is used to compare two related samples. Learn how to assess the impact of marketing adjustments utilizing this statistical analysis test.
    Case Description: Package Redesign
    2 min
    Wilcoxon Signed-Rank Test
    5 min
    Case Summary and Discussion on Wilcoxon Signed-Rank Test
    3 min
  • 8. Chi-Square Goodness-of-Fit Test
    3 Lessons 10 Min
    Understand the chi-squared goodness-of-fit test's role in determining how well-observed data fit expected distributions, illustrated with sales data analysis.
    Case Description: Store Footfall
    3 min
    Chi-Square Goodness-of-Fit Test
    4 min
    Case Summary and Discussion on Chi-Square Goodness-of-Fit Test
    3 min
  • 9. Conclusion
    1 Lesson 2 Min
    We summarize the key takeaways of the Statistical Tests in Sales and Marketing course and recap the applications of statistical tests in data-driven decision-making in sales and marketing.
    Conclusion
    2 min
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Topics

TheoryHypothesis TestingProgrammingStatisticsData AnalysisData-driven decision-makingPythonMath & StatisticsIndustry SpecializationData Analysis

Tools & Technologies

python
theory

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.

Exams and certification

Meet Your Instructor

Olivier Maugain

Olivier Maugain

Data Governance Manager at

2 Courses

2035 Reviews

31487 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.

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What Our Learners Say

Paula Munoz
Paula Munoz
18.01.2025
saboor ahmad
saboor ahmad
15.01.2025

365 Data Science Is Featured at

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