Statistics for Sales and Marketing

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365 Careers

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1. Introduction

1. Welcome to the World of Statistical Tests!.mp4

03:37

2. The Importance of Statistical Testing in Sales and Marketing.mp4

05:13

3. Course Approach.mp4

03:16

2. Case 1 Chi-Square Test of Independence

1. Case Description Packaging Uniqueness.mp4

03:35

2. Research Question.mp4

02:16

3. Operationalization.mp4

02:37

4. Sample.mp4

03:47

5. Statistic and Parameter.mp4

01:57

6. Levels of Measurement.mp4

06:36

7. Contingency Table.mp4

04:52

8. Hypothesis Testing - Introduction.mp4

02:03

9. Null and Alternative Hypothesis.mp4

04:39

10. Test Statistic.mp4

02:14

11. P-value.mp4

02:50

12. Statistical Significance.mp4

04:03

13. Degrees of Freedom.mp4

04:07

14. Chi-Square Test - Introduction.mp4

04:05

15. Chi-Square Test of Independence.mp4

02:39

16. Case Summary and Discussion.mp4

03:29

Files.zip

3. Case 2 One-Sample t-Test

1. Case Description Price per Volume (PPV).mp4

03:06

2. Mean and Median.mp4

01:28

3. Standard Deviation.mp4

03:51

4. Normal Distribution.mp4

03:30

5. Histogram.mp4

01:50

6. Q-Q Plot.mp4

02:41

7. One-Sample t-Test.mp4

04:07

8. One- vs. Two-Tailed Tests.mp4

04:36

9. Case Summary and Discussion.mp4

04:30

Files.zip

4. Case 3 Two-Sample t-Test

1. Case Description In-store Display.mp4

02:45

2. Dependent vs. Independent Variables.mp4

02:12

3. Shapiro-Wilk Test for Normality.mp4

03:02

4. Levenes Test for Equality of Variances.mp4

03:32

5. Two-Sample t-Test.mp4

05:53

6. Case Summary and Discussion.mp4

03:01

Files.zip

5. Case 4 Paired Samples t-Test

1. Case Description Return Policy.mp4

03:14

2. Independent vs. Dependent Samples.mp4

02:13

3. Paired Samples t-Test.mp4

04:29

4. Case Summary and Discussion.mp4

02:45

Files.zip

6. Case 5 Mann-Whitney U Test

1. Case Description Sales Incentive Program.mp4

02:30

2. Parametric vs. Non-Parametric Tests.mp4

03:08

3. Mann-Whitney U Test.mp4

06:19

4. Case Summary and Discussion.mp4

03:17

Files.zip

7. Case 6 Wilcoxon Signed-Rank Test

1. Case Description Package Redesign.mp4

02:00

2. Wilcoxon Signed-Rank Test.mp4

05:16

Files.zip

Description

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

Who is this for?

Aspiring Data Analysts and Data Scientists

Marketing Professionals

Business Analysts

Sales Managers and Sales Executives

Entrepreneurs and Business Owners

Statistics and Business students

What You Need to Know?

Basic statistics knowledge

Basic Python skills

More details

Description
Do you want to advance your career in Sales and Marketing?
Are you eager to leverage data for informed decision-making?
Well, youâ€™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, Mannâ€“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 theoryâ€”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 toolâ€”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 Udemyâ€™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!

Who this course is for:
Aspiring Data Analysts and Data Scientists
Marketing Professionals
Business Analysts
Sales Managers and Sales Executives
Entrepreneurs and Business Owners
Statistics and Business students

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365 Careers is the #1 best-selling provider of business, finance, and data science courses on Udemy. The company’s courses have been taken by more than 2,000,000 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 CPA2) 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 Strategy3) Entrepreneurship – Business Strategy, Management and HR Management, Marketing, Decision Making, Negotiation, and Persuasion, Tesla's Strategy and Marketing4) Office productivity – Microsoft Excel, PowerPoint, Microsoft Word, and Microsoft Outlook5) Blockchain for BusinessAll of our courses are: - Pre-scripted - Hands-on - Laser-focused - Engaging - Real-life tested By choosing 365 Careers, you make sure you will learn from proven experts, who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time. If you want to become a financial analyst, a data scientist, a business analyst, a data analyst, a business intelligence analyst, a business executive, a finance manager, an FP&A analyst, an investment banker, or an entrepreneur365 Careers’ courses are the perfect place to start.

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