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Gerald S. Brown
and
Kishore K. Pochampally
In today's job market, leaders need to understand the fundamentals of data to be competitive. An essential procedure to understand business and analytics is hypothesis testing. This short course, designed by Tufts University expert faculty, will teach the fundamentals of hypothesis testing of a population mean and a population proportion, using Excel and Python for calculations. You'll also discover the central limit theorem, which is essential for hypothesis testing. To conclude the course, you will apply your newfound skills by creating a plan for an experiment in your own workplace that uses hypothesis testing.
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What's inside
Syllabus
Hypothesis Testing
Hypothesis testing is an essential procedure in business analytics. In this course, you will learn the fundamentals of hypothesis testing of a population mean and a population proportion. We will also explain the central limit theorem, which is essential for hypothesis testing. We will use Excel and Python for our calculations. At the end of the course, you will apply these skills by creating a plan for an experiment using hypothesis testing at your workplace.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Delves into hypothesis testing, a pillar of business analytics
Emphasizes the integral role of the central limit theorem in hypothesis testing
Incorporates hands-on practice with Excel and Python for calculations
Provides a foundation for conducting experiments and applying hypothesis testing in real-world settings
Led by instructors with expertise in data analysis
Aligned with industry-standard practices
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Compile Course Materials
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Organize course materials for easy reference and review.
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Find a Mentor in Hypothesis Testing
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Hypothesis Testing
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Identify individuals in your network or professional community who have expertise in hypothesis testing.
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Reach out to potential mentors and express your interest in learning from them.
Review statistics concepts
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This course assumes a good understanding of statistics, so refreshing these skills will provide a solid foundation.
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Hypothesis Testing
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Review key statistical concepts, such as mean, median, and standard deviation.
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Solve practice problems involving hypothesis testing.
-
Complete online tutorials or exercises to reinforce your understanding.
Six other activities
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Review "An Introduction to Statistical Learning"
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Review key concepts of statistical learning before taking this course.
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An Introduction to Statistical Learning: with...
on Amazon
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Read chapters 1-3 to gain an understanding of the fundamental concepts of statistical learning.
-
Work through the exercises at the end of each chapter to test your understanding.
Attend a Workshop on Hypothesis Testing
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Enhance your understanding of hypothesis testing by attending a workshop led by experts.
Browse courses on
Hypothesis Testing
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Identify workshops on hypothesis testing offered by universities or professional organizations.
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Register for a workshop that aligns with your learning goals.
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Attend the workshop and actively participate in discussions.
Practice Hypothesis Testing with Excel
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Reinforce your understanding of hypothesis testing by completing practice problems.
Browse courses on
Hypothesis Testing
Show steps
-
Find practice problems online or in textbooks.
-
Solve the problems using the methods learned in the course.
-
Check your answers to ensure accuracy.
Create a Visual Guide to Hypothesis Testing
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Develop a deeper understanding of hypothesis testing by creating a visual representation of the process.
Browse courses on
Hypothesis Testing
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Gather information on the steps and concepts of hypothesis testing.
-
Design a visual representation that clearly explains the process.
-
Use visuals, diagrams, and text to make the guide easy to understand.
Volunteer at a Data Analytics Organization
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Gain practical experience in hypothesis testing and data analysis by volunteering.
Browse courses on
Data Analytics
Show steps
-
Identify data analytics organizations that offer volunteer opportunities.
-
Contact the organization and inquire about volunteer positions.
-
Participate in data analysis projects and assist with hypothesis testing.
Develop an Experiment Using Hypothesis Testing
Show steps
Apply your knowledge of hypothesis testing by designing and conducting your own experiment.
Browse courses on
Hypothesis Testing
Show steps
-
Define a research question and formulate a hypothesis.
-
Design an experiment to test your hypothesis.
-
Collect and analyze data.
-
Draw conclusions based on your results.
Compile Course Materials
Show steps
Organize course materials for easy reference and review.
Show steps
Show steps
Show steps
- Download and save lecture slides, notes, and assignments.
- Create a system for organizing and storing materials.
Find a Mentor in Hypothesis Testing
Show steps
Connect with experts in hypothesis testing to gain insights and guidance.
Browse courses on
Hypothesis Testing
Show steps
Show steps
Show steps
- Identify individuals in your network or professional community who have expertise in hypothesis testing.
- Reach out to potential mentors and express your interest in learning from them.
Review statistics concepts
Show steps
This course assumes a good understanding of statistics, so refreshing these skills will provide a solid foundation.
Browse courses on
Hypothesis Testing
Show steps
Show steps
Show steps
- Review key statistical concepts, such as mean, median, and standard deviation.
- Solve practice problems involving hypothesis testing.
- Complete online tutorials or exercises to reinforce your understanding.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Review "An Introduction to Statistical Learning"
Show steps
Review key concepts of statistical learning before taking this course.
View
An Introduction to Statistical Learning: with...
on Amazon
Show steps
Show steps
Show steps
- Read chapters 1-3 to gain an understanding of the fundamental concepts of statistical learning.
- Work through the exercises at the end of each chapter to test your understanding.
Attend a Workshop on Hypothesis Testing
Show steps
Enhance your understanding of hypothesis testing by attending a workshop led by experts.
Browse courses on
Hypothesis Testing
Show steps
Show steps
Show steps
- Identify workshops on hypothesis testing offered by universities or professional organizations.
- Register for a workshop that aligns with your learning goals.
- Attend the workshop and actively participate in discussions.
Practice Hypothesis Testing with Excel
Show steps
Reinforce your understanding of hypothesis testing by completing practice problems.
Browse courses on
Hypothesis Testing
Show steps
Show steps
Show steps
- Find practice problems online or in textbooks.
- Solve the problems using the methods learned in the course.
- Check your answers to ensure accuracy.
Create a Visual Guide to Hypothesis Testing
Show steps
Develop a deeper understanding of hypothesis testing by creating a visual representation of the process.
Browse courses on
Hypothesis Testing
Show steps
Show steps
Show steps
- Gather information on the steps and concepts of hypothesis testing.
- Design a visual representation that clearly explains the process.
- Use visuals, diagrams, and text to make the guide easy to understand.
Volunteer at a Data Analytics Organization
Show steps
Gain practical experience in hypothesis testing and data analysis by volunteering.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Identify data analytics organizations that offer volunteer opportunities.
- Contact the organization and inquire about volunteer positions.
- Participate in data analysis projects and assist with hypothesis testing.
Develop an Experiment Using Hypothesis Testing
Show steps
Apply your knowledge of hypothesis testing by designing and conducting your own experiment.
Browse courses on
Hypothesis Testing
Show steps
Show steps
Show steps
- Define a research question and formulate a hypothesis.
- Design an experiment to test your hypothesis.
- Collect and analyze data.
- Draw conclusions based on your results.
Career center
Learners who complete Hypothesis Testing with Python and Excel will develop knowledge and skills
that may be useful to these careers:
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data to help businesses and organizations make informed decisions. They use statistical methods to test hypotheses, draw conclusions, and make predictions. This course provides Statisticians with the skills they need to conduct hypothesis testing using Excel and Python, two powerful tools for statistical analysis.
Data Analyst
Data Analyst
Data Analysts translate raw data into insights that drive decision-making. They collect, analyze, interpret, and communicate data to help businesses understand their customers, improve their operations, and make better decisions. This course provides a solid foundation in hypothesis testing, a fundamental skill for Data Analysts. By learning how to test hypotheses about population means and proportions, Data Analysts can gain valuable insights into their data and make more informed recommendations.
Data Scientist
Data Scientist
Data Scientists use scientific methods and statistical techniques to extract knowledge from data. They develop and implement models to solve complex business problems. This course provides Data Scientists with the skills they need to conduct hypothesis testing, a key analytical technique used to validate models and make predictions. By learning how to test hypotheses, Data Scientists can develop and implement more accurate and reliable models.
Business Analyst
Business Analyst
Business Analysts help businesses improve their performance by identifying and solving problems. They analyze data, identify trends, and develop recommendations to improve efficiency and effectiveness. This course provides Business Analysts with the skills they need to conduct hypothesis testing, a key analytical technique used to evaluate the effectiveness of business decisions. By learning how to test hypotheses, Business Analysts can make more informed recommendations and help businesses achieve their goals.
Quantitative Researcher
Quantitative Researcher
Quantitative Researchers use mathematical and statistical techniques to develop and test models for investment strategies. They use historical data to identify patterns and trends, and make predictions about future performance. This course provides Quantitative Researchers with the skills they need to conduct hypothesis testing, a key analytical technique used to evaluate the performance of investment strategies. By learning how to test hypotheses, Quantitative Researchers can develop and test more accurate and reliable models.
Business Consultant
Business Consultant
Business Consultants help businesses improve their performance by identifying and solving problems. They analyze data, identify trends, and develop recommendations to improve efficiency and effectiveness. This course provides Business Consultants with the skills they need to conduct hypothesis testing, a key analytical technique used to evaluate the effectiveness of business decisions. By learning how to test hypotheses, Business Consultants can make more informed recommendations and help businesses achieve their goals.
Financial Analyst
Financial Analyst
Financial Analysts provide insights into the financial performance of companies and make recommendations on investment strategies. They use financial data to evaluate companies, identify trends, and make predictions about future performance. This course provides Financial Analysts with the skills they need to conduct hypothesis testing, a key analytical technique used to evaluate the financial performance of companies. By learning how to test hypotheses, Financial Analysts can make more informed recommendations and help businesses make better investment decisions.
Product Manager
Product Manager
Product Managers develop and manage products and services. They use data to understand customer needs, develop product specifications, and launch and market products. This course provides Product Managers with the skills they need to conduct hypothesis testing, a key analytical technique used to evaluate the effectiveness of product launches and marketing campaigns. By learning how to test hypotheses, Product Managers can make more informed recommendations and help businesses develop and launch more successful products.
Actuary
Actuary
Actuaries use mathematical and statistical techniques to assess risk and uncertainty. They develop and implement models to help businesses and organizations make informed decisions about risk management, insurance, and financial planning. This course provides Actuaries with the skills they need to conduct hypothesis testing, a key analytical technique used to evaluate risk and uncertainty. By learning how to test hypotheses, Actuaries can make more informed recommendations and help businesses and organizations manage risk more effectively.
Sales Analyst
Sales Analyst
Sales Analysts use data to identify trends and opportunities, and develop strategies to increase sales. They use statistical techniques to analyze customer data, identify customer needs, and develop targeted marketing campaigns. This course provides Sales Analysts with the skills they need to conduct hypothesis testing, a key analytical technique used to evaluate the effectiveness of sales strategies. By learning how to test hypotheses, Sales Analysts can make more informed recommendations and help businesses increase sales.
Data Management Analyst
Data Management Analyst
Data Management Analysts develop and implement data management strategies to ensure that data is accurate, consistent, and secure. They use data to identify trends and opportunities, and develop strategies to improve data quality. This course provides Data Management Analysts with the skills they need to conduct hypothesis testing, a key analytical technique used to evaluate the effectiveness of data management strategies. By learning how to test hypotheses, Data Management Analysts can make more informed recommendations and help businesses improve their data quality.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve problems in business and industry. They develop and implement models to improve efficiency, productivity, and profitability. This course provides Operations Research Analysts with the skills they need to conduct hypothesis testing, a key analytical technique used to evaluate the effectiveness of operations. By learning how to test hypotheses, Operations Research Analysts can make more informed recommendations and help businesses achieve their operational goals.
Risk Manager
Risk Manager
Risk Managers identify, assess, and mitigate risks to businesses and organizations. They develop and implement risk management strategies to protect businesses from financial loss and reputational damage. This course provides Risk Managers with the skills they need to conduct hypothesis testing, a key analytical technique used to evaluate the effectiveness of risk management strategies. By learning how to test hypotheses, Risk Managers can make more informed recommendations and help businesses manage risk more effectively.
Market Researcher
Market Researcher
Market Researchers collect and analyze data to understand consumer behavior, market trends, and industry dynamics. They use this information to develop marketing strategies and campaigns that are more likely to succeed. This course provides Market Researchers with the skills they need to conduct hypothesis testing, a key analytical technique used to evaluate the effectiveness of marketing campaigns. By learning how to test hypotheses, Market Researchers can make more informed recommendations and help businesses achieve their marketing goals.
Marketing Manager
Marketing Manager
Marketing Managers plan and execute marketing campaigns to promote products and services. They use data to understand consumer behavior, market trends, and industry dynamics. This course provides Marketing Managers with the skills they need to conduct hypothesis testing, a key analytical technique used to evaluate the effectiveness of marketing campaigns. By learning how to test hypotheses, Marketing Managers can make more informed recommendations and help businesses achieve their marketing goals.
For more career information including salaries, visit:
OpenCourser.com/course/97hxhk/hypothesis
Reading list
We've selected 12 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Hypothesis Testing with Python and Excel.
Provides a comprehensive overview of statistical hypothesis testing. It covers a wide range of topics, including the central limit theorem, and is written in a clear and engaging style.
Provides a comprehensive overview of statistical inference. It covers a wide range of topics, including hypothesis testing, and is written in a clear and engaging style.
Provides a comprehensive overview of the theory of hypothesis testing. It covers a wide range of topics, including the central limit theorem, and is written in a clear and engaging style.
Provides a practical guide to hypothesis testing in R. It covers a wide range of topics, including hypothesis testing of a population mean and a population proportion, and is written in a clear and concise style.
Provides a comprehensive overview of hypothesis testing. It covers a wide range of topics, including the central limit theorem, and is written in a clear and engaging style.
This textbook provides a comprehensive overview of statistical methods used in business and economics. It covers a wide range of topics, including hypothesis testing, and is written in a clear and engaging style.
Provides a comprehensive introduction to statistical concepts and methods, using the R programming language. It covers a wide range of topics, including hypothesis testing, and is written in a clear and concise style.
Provides a concise and practical guide to hypothesis testing. It covers a wide range of topics, including hypothesis testing of a population mean and a population proportion, and is written in a clear and engaging style.
Provides a comprehensive overview of statistical methods used in the social sciences. It covers a wide range of topics, including hypothesis testing, and is written in a clear and engaging style.
Provides a comprehensive overview of statistical methods used in engineering and the sciences. It covers a wide range of topics, including hypothesis testing, and is written in a clear and engaging style.
Provides a comprehensive overview of statistical methods used in psychology. It covers a wide range of topics, including hypothesis testing, and is written in a clear and engaging style.
Provides a clear and concise introduction to hypothesis testing. It covers a wide range of topics, including hypothesis testing of a population mean and a population proportion, and is written in a friendly and accessible style.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/97hxhk/hypothesis
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Effort
5 hours of study in total
Level
Intermediate
Via
Coursera
Institution
Tufts University
Instructors
Gerald S. Brown
Kishore K. Pochampally
Language
English
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Good to know
Delves into hypothesis testing, a pillar of business analytics
Emphasizes the integral role of the central limit theorem in hypothesis testing
Incorporates hands-on practice with Excel and Python for calculations
Provides a foundation for conducting experiments and applying hypothesis testing in real-world settings
Led by instructors with expertise in data analysis
Aligned with industry-standard practices
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