Statistics For Sales And Marketing

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

What you'll 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

Requirements

Basic statistics knowledge

Basic Python skills

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 understandThoroughHands-onConciseLoaded with practical exercises and resourcesFocused on data-driven decision-makingBy 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 instructorsOlivier 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!

Overview

Section 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

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

Lecture 4 Case Description: Packaging Uniqueness

Lecture 5 Research Question

Lecture 6 Operationalization

Lecture 7 Sample

Lecture 8 Statistic and Parameter

Lecture 9 Levels of Measurement

Lecture 10 Contingency Table

Lecture 11 Hypothesis Testing - Introduction

Lecture 12 Null and Alternative Hypothesis

Lecture 13 Test Statistic

Lecture 14 P-value

Lecture 15 Statistical Significance

Lecture 16 Degrees of Freedom

Lecture 17 Chi-Square Test - Introduction

Lecture 18 Chi-Square Test of Independence

Lecture 19 Case Summary and Discussion

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

Lecture 20 Case Description: Price per Volume (PPV)

Lecture 21 Mean and Median

Lecture 22 Standard Deviation

Lecture 23 Normal Distribution

Lecture 24 Histogram

Lecture 25 Q-Q Plot

Lecture 26 One-Sample t-Test

Lecture 27 One- vs. Two-Tailed Tests

Lecture 28 Case Summary and Discussion

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

Lecture 29 Case Description: In-store Display

Lecture 30 Dependent vs. Independent Variables

Lecture 31 Shapiro-Wilk Test for Normality

Lecture 32 Levene's Test for Equality of Variances

Lecture 33 Two-Sample t-Test

Lecture 34 Case Summary and Discussion

Section 5: Case 4: Paired Samples t-Test

Lecture 35 Case Description: Return Policy

Lecture 36 Independent vs. Dependent Samples

Lecture 37 Paired Samples t-Test

Lecture 38 Case Summary and Discussion

Section 6: Case 5: Mann-Whitney U Test

Lecture 39 Case Description: Sales Incentive Program

Lecture 40 Parametric vs. Non-Parametric Tests

Lecture 41 Mann-Whitney U Test

Lecture 42 Case Summary and Discussion

Section 7: Case 7: Wilcoxon Signed-Rank Test

Lecture 43 Case Description: Package Redesign

Lecture 44 Wilcoxon Signed-Rank Test

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