Statistics for Sales and Marketing

365 Careers and Olivier Maugain

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.

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.

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What's inside

Learning objectives

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

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

Syllabus

Introduction

Welcome to the World of Statistical Tests!

The Importance of Statistical Testing in Sales and Marketing

Course Approach

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Statistics for Sales and Marketing with these activities:

Compile a Glossary of Statistical Terms

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Solidify your understanding of statistical terminology by creating a comprehensive glossary.

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Identify key statistical terms from the course material.
Define each term clearly and concisely.
Include examples and real-world applications of each term.
Organize the glossary alphabetically or by category.
Review and update the glossary regularly.

Read 'Data Mining for Business Intelligence'

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Gain a comprehensive understanding of data mining techniques and their application in business intelligence and marketing.

View Machine Learning for Business Analytics:... on Amazon

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Purchase or borrow the book.
Read the book thoroughly, taking notes and highlighting important concepts.
Complete the end-of-chapter exercises to test your understanding.
Apply the concepts you learn to real-world marketing scenarios.

Form a Study Group

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Enhance your understanding of course concepts by collaborating with peers and discussing statistical techniques and real-world applications.

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Identify a group of classmates with similar interests and schedules.
Set up regular study sessions and discuss course topics.
Work together on assignments and projects.
Quiz each other and provide feedback on understanding.

Four other activities

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Take Practice Quizzes

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Complete practice quizzes to reinforce your understanding of statistical concepts and their application in sales and marketing scenarios.

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Access the course platform and locate the practice quizzes.
Review the course material and identify areas where you need additional practice.
Take the practice quizzes and carefully review your answers.
Analyze your results and identify any areas where you need to improve.

Create a Data Visualization Dashboard

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Develop your data visualization skills by creating an interactive dashboard that showcases key statistical findings.

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Select a relevant dataset and identify the key metrics you want to track.
Use a data visualization tool such as Tableau or Power BI to create charts and graphs.
Design the dashboard layout and ensure it is visually appealing and easy to navigate.
Publish the dashboard and share it with others for feedback and insights.

Attend a Statistical Analysis Workshop

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Enhance your understanding of statistical analysis techniques by attending a workshop led by experts in the field.

Browse courses on Statistical Analysis

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Research and identify relevant workshops in your area.
Register for the workshop and prepare any necessary materials.
Attend the workshop and actively participate in discussions and exercises.
Take notes and ask questions to clarify concepts.
Follow up after the workshop by reviewing your notes and applying what you learned.