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Yuval Erez
This course introduces the basic tools and methods of statistical analysis, which can be applied to a wide variety of situations and data encountered in the areas of business and economics. Topics discussed include descriptive statistics, probability, sampling distributions, estimation, and hypothesis testing. By the end of the semester students should be able to compute and interpret basic descriptive statistical measures, understand the basic concepts of probability, and apply techniques of statistical inference.
Read more
This course introduces the basic tools and methods of statistical analysis, which can be applied to a wide variety of situations and data encountered in the areas of business and economics. Topics discussed include descriptive statistics, probability, sampling distributions, estimation, and hypothesis testing. By the end of the semester students should be able to compute and interpret basic descriptive statistical measures, understand the basic concepts of probability, and apply techniques of statistical inference.
Read more
This course introduces the basic tools and methods of statistical analysis, which can be applied to a wide variety of situations and data encountered in the areas of business and economics. Topics discussed include descriptive statistics, probability, sampling distributions, estimation, and hypothesis testing. By the end of the semester students should be able to compute and interpret basic descriptive statistical measures, understand the basic concepts of probability, and apply techniques of statistical inference.
What you'll learn
By the end of the semester students should be able to compute and interpret basic descriptive statistical measures, understand the basic concepts of probability, and apply techniques of statistical inference.
Register for this course and see more details by visiting:
OpenCourser.com/course/h2dvzp/statistics
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Taught by Yuval Erez, who are recognized for their work in business and economics
Develops basic descriptive statistical measures, sampling distributions, estimation, and hypothesis testing, which are core skills for Economics and Business
Introduces statistical analysis which is highly relevant to economics and business
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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 Fundamentals for Business Analytics with these
activities:
Review basic statistical concepts
Show steps
Reviewing basic statistical concepts will provide a solid foundation for understanding the more advanced topics covered in this course.
Browse courses on
Descriptive Statistics
Show steps
-
Review notes or textbooks from previous statistics courses.
-
Take practice problems or quizzes to test your understanding.
-
Watch online tutorials or videos on basic statistical concepts.
Practice Probability Problems
Show steps
Regular practice is key to mastering probability concepts. This activity provides ample opportunities to solve various probability problems, solidifying your understanding and building confidence in this foundational topic.
Browse courses on
Probability
Show steps
-
Find practice problems online or in textbooks.
-
Solve the problems and check your answers.
-
Repeat until you feel comfortable with the concepts.
Learn about Statistical Software
Show steps
Familiarity with statistical software is essential for data analysis. This activity introduces you to commonly used software, enabling you to apply your statistical knowledge to real-world datasets and enhance your employability.
Browse courses on
Statistical Software
Show steps
-
Choose a statistical software program (e.g., SPSS, R, Python).
-
Find online tutorials or courses for the software.
-
Follow the tutorials and practice using the software.
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Follow tutorials on statistical software
Show steps
Gaining proficiency in statistical software will enhance your ability to analyze and interpret data in this course.
Browse courses on
Statistical Software
Show steps
-
Identify the most appropriate statistical software for your needs.
-
Find and enroll in online tutorials or workshops on the software.
-
Practice using the software by completing exercises and projects.
Discuss Statistical Concepts
Show steps
Engaging in discussions with peers allows you to exchange knowledge, clarify concepts, and gain diverse perspectives. This activity fosters a collaborative learning environment and deepens your understanding of statistical methods.
Show steps
-
Join or create a study group.
-
Meet regularly to discuss course material and solve problems.
-
Share notes and resources with each other.
Attend study groups or discussion forums
Show steps
Participating in peer study sessions or online discussions will provide opportunities to ask questions, share insights, and collaborate with others.
Show steps
-
Find or organize a study group with classmates.
-
Attend online discussion forums and participate in discussions.
-
Review and contribute to shared notes or summaries.
Review the Basics of Hypothesis Testing
Show steps
This book provides a comprehensive overview of the fundamental concepts of hypothesis testing. By reviewing this book, you'll strengthen your understanding of this important statistical technique.
View
Business Statistics, Global Edition
on Amazon
Show steps
-
Read Chapters 1-3 of the book.
-
Complete the practice problems at the end of each chapter.
-
Take a practice quiz on hypothesis testing.
Interpret Statistical Results
Show steps
Applying your knowledge of statistical analysis to real-world data is crucial. This hands-on project allows you to do just that, enhancing your ability to interpret statistical results and draw meaningful conclusions.
Browse courses on
Descriptive Statistics
Show steps
-
Gather data from a reliable source.
-
Conduct a statistical analysis using the methods learned in the course.
-
Interpret the results of your analysis and draw conclusions.
-
Create a presentation or report to communicate your findings.
Read 'Introduction to the Practice of Statistics' by Moore and McCabe
Show steps
This book provides a comprehensive overview of statistical methods and their applications, complementing the course materials.
View
Introduction to the Practice of Statistics
on Amazon
Show steps
-
Read and take notes on each chapter.
-
Complete the练习 exercises at the end of each chapter.
-
Discuss the concepts with classmates or a study group.
Participate in a Data Analysis Competition
Show steps
Competitions provide a stimulating environment to test your skills, learn from others, and showcase your abilities. By participating in a data analysis competition, you can gain practical experience and further enhance your knowledge in this field.
Browse courses on
Data Analysis
Show steps
-
Find a data analysis competition that aligns with your interests.
-
Team up with other students or participate individually.
-
Analyze the data and develop a solution.
-
Submit your solution and compete for prizes and recognition.
Create a data visualization project
Show steps
Creating a data visualization project will allow you to apply your statistical knowledge and skills to a real-world dataset.
Browse courses on
Data Visualization
Show steps
-
Choose a dataset that interests you.
-
Clean and analyze the data.
-
Create visualizations using statistical software or online tools.
-
Write a report or presentation to explain your findings.
Volunteer as a research assistant
Show steps
Volunteering as a research assistant will provide practical experience in applying statistical methods to real-world research projects.
Show steps
-
Identify research projects that align with your interests.
-
Contact researchers or professors to inquire about volunteer opportunities.
-
Assist with data collection, analysis, or interpretation under the guidance of a mentor.
Start a personal project using statistical methods
Show steps
Embarking on a personal project will allow you to explore a topic of your choice and apply your statistical knowledge in a meaningful way.
Show steps
-
Identify a problem or question that you want to investigate.
-
Collect or generate data relevant to your question.
-
Analyze the data using statistical methods.
-
Draw conclusions and present your findings.
Review basic statistical concepts
Show steps
Reviewing basic statistical concepts will provide a solid foundation for understanding the more advanced topics covered in this course.
Browse courses on
Descriptive Statistics
Show steps
Show steps
Show steps
- Review notes or textbooks from previous statistics courses.
- Take practice problems or quizzes to test your understanding.
- Watch online tutorials or videos on basic statistical concepts.
Practice Probability Problems
Show steps
Regular practice is key to mastering probability concepts. This activity provides ample opportunities to solve various probability problems, solidifying your understanding and building confidence in this foundational topic.
Browse courses on
Probability
Show steps
Show steps
Show steps
- Find practice problems online or in textbooks.
- Solve the problems and check your answers.
- Repeat until you feel comfortable with the concepts.
Learn about Statistical Software
Show steps
Familiarity with statistical software is essential for data analysis. This activity introduces you to commonly used software, enabling you to apply your statistical knowledge to real-world datasets and enhance your employability.
Browse courses on
Statistical Software
Show steps
Show steps
Show steps
- Choose a statistical software program (e.g., SPSS, R, Python).
- Find online tutorials or courses for the software.
- Follow the tutorials and practice using the software.
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Follow tutorials on statistical software
Show steps
Gaining proficiency in statistical software will enhance your ability to analyze and interpret data in this course.
Browse courses on
Statistical Software
Show steps
Show steps
Show steps
- Identify the most appropriate statistical software for your needs.
- Find and enroll in online tutorials or workshops on the software.
- Practice using the software by completing exercises and projects.
Discuss Statistical Concepts
Show steps
Engaging in discussions with peers allows you to exchange knowledge, clarify concepts, and gain diverse perspectives. This activity fosters a collaborative learning environment and deepens your understanding of statistical methods.
Show steps
Show steps
Show steps
- Join or create a study group.
- Meet regularly to discuss course material and solve problems.
- Share notes and resources with each other.
Attend study groups or discussion forums
Show steps
Participating in peer study sessions or online discussions will provide opportunities to ask questions, share insights, and collaborate with others.
Show steps
Show steps
Show steps
- Find or organize a study group with classmates.
- Attend online discussion forums and participate in discussions.
- Review and contribute to shared notes or summaries.
Review the Basics of Hypothesis Testing
Show steps
This book provides a comprehensive overview of the fundamental concepts of hypothesis testing. By reviewing this book, you'll strengthen your understanding of this important statistical technique.
View
Business Statistics, Global Edition
on Amazon
Show steps
Show steps
Show steps
- Read Chapters 1-3 of the book.
- Complete the practice problems at the end of each chapter.
- Take a practice quiz on hypothesis testing.
Interpret Statistical Results
Show steps
Applying your knowledge of statistical analysis to real-world data is crucial. This hands-on project allows you to do just that, enhancing your ability to interpret statistical results and draw meaningful conclusions.
Browse courses on
Descriptive Statistics
Show steps
Show steps
Show steps
- Gather data from a reliable source.
- Conduct a statistical analysis using the methods learned in the course.
- Interpret the results of your analysis and draw conclusions.
- Create a presentation or report to communicate your findings.
Read 'Introduction to the Practice of Statistics' by Moore and McCabe
Show steps
This book provides a comprehensive overview of statistical methods and their applications, complementing the course materials.
View
Introduction to the Practice of Statistics
on Amazon
Show steps
Show steps
Show steps
- Read and take notes on each chapter.
- Complete the练习 exercises at the end of each chapter.
- Discuss the concepts with classmates or a study group.
Participate in a Data Analysis Competition
Show steps
Competitions provide a stimulating environment to test your skills, learn from others, and showcase your abilities. By participating in a data analysis competition, you can gain practical experience and further enhance your knowledge in this field.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find a data analysis competition that aligns with your interests.
- Team up with other students or participate individually.
- Analyze the data and develop a solution.
- Submit your solution and compete for prizes and recognition.
Create a data visualization project
Show steps
Creating a data visualization project will allow you to apply your statistical knowledge and skills to a real-world dataset.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a dataset that interests you.
- Clean and analyze the data.
- Create visualizations using statistical software or online tools.
- Write a report or presentation to explain your findings.
Volunteer as a research assistant
Show steps
Volunteering as a research assistant will provide practical experience in applying statistical methods to real-world research projects.
Show steps
Show steps
Show steps
- Identify research projects that align with your interests.
- Contact researchers or professors to inquire about volunteer opportunities.
- Assist with data collection, analysis, or interpretation under the guidance of a mentor.
Start a personal project using statistical methods
Show steps
Embarking on a personal project will allow you to explore a topic of your choice and apply your statistical knowledge in a meaningful way.
Show steps
Show steps
Show steps
- Identify a problem or question that you want to investigate.
- Collect or generate data relevant to your question.
- Analyze the data using statistical methods.
- Draw conclusions and present your findings.
Career center
Learners who complete Statistics Fundamentals for Business Analytics will develop knowledge and skills
that may be useful to these careers:
Statistician
Statistician
Statisticians collect, analyze, and interpret data to provide insights and solve problems. This course can serve as a fundamental building block for a career as a Statistician. Topics such as descriptive statistics, probability, and hypothesis testing provide a strong foundation for understanding statistical principles and methodologies.
Data Scientist
Data Scientist
Data Scientists use statistical and machine learning techniques to extract insights from data. This course can provide a foundational understanding of statistical concepts essential for Data Scientists. Topics such as descriptive statistics, probability, and hypothesis testing can help them effectively analyze and interpret complex datasets.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and implement machine learning models. This course can provide a solid foundation for aspiring Machine Learning Engineers. Topics such as probability, sampling distributions, and hypothesis testing can help them understand the statistical principles underlying machine learning algorithms and improve model performance.
Biostatistician
Biostatistician
Biostatisticians apply statistical methods to medical and health-related data. This course can provide a valuable foundation for aspiring Biostatisticians. The course's focus on topics such as descriptive statistics, probability, and hypothesis testing can help them understand and analyze complex health-related data.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. This course can provide the foundational knowledge needed to excel as a Data Analyst. Topics such as descriptive statistics, probability, sampling distributions, estimation, and hypothesis testing provide a solid base for understanding and working with data effectively.
Business Analyst
Business Analyst
Business Analysts use data and statistical techniques to identify and solve business problems. This course can be a useful step towards a career in Business Analysis. Concepts in descriptive statistics, probability, and hypothesis testing can help Business Analysts make data-driven recommendations and improve business outcomes.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use statistical and mathematical models to analyze financial data and make investment decisions. This course can provide a strong foundation for a successful career as a Quantitative Analyst. Concepts such as probability, sampling distributions, and hypothesis testing are essential for understanding and applying quantitative analysis techniques.
Market Research Analyst
Market Research Analyst
Market Research Analysts collect and analyze market data to understand consumer behavior and trends. This course can provide a foundation for a successful career as a Market Research Analyst. Topics such as descriptive statistics, probability, and sampling distributions can help analysts design and conduct effective market research studies.
Risk Analyst
Risk Analyst
Risk Analysts identify, assess, and manage risks faced by organizations. This course can provide a valuable foundation for a career as a Risk Analyst. Concepts such as probability, sampling distributions, and hypothesis testing are crucial for understanding and quantifying risk.
Statistical Analyst
Statistical Analyst
Statistical Analysts use mathematical and statistical techniques to collect, analyze, interpret, and present data. This course can be a useful tool for aspiring Statistical Analysts. A background in descriptive statistics, probability, and hypothesis testing can help analysts work with various forms of data. An understanding of these concepts can also help them use techniques of statistical inference and interpret complex datasets.
Financial Analyst
Financial Analyst
Financial Analysts use statistical techniques to evaluate investments and make financial recommendations. This course can provide a foundation for a rewarding career as a Financial Analyst. A strong understanding of probability, sampling distributions, and hypothesis testing can help analysts assess risk and make sound investment decisions.
Actuary
Actuary
Actuaries use statistical and mathematical methods to assess and manage risk. This course can be a useful stepping stone for aspiring Actuaries. Topics covered, such as probability, sampling distributions, and hypothesis testing, provide a solid base for understanding actuarial concepts and methodologies.
Epidemiologist
Epidemiologist
Epidemiologists investigate the causes and patterns of health and disease in populations. This course can provide a helpful foundation for aspiring Epidemiologists. Topics such as descriptive statistics, probability, and sampling distributions can enhance their ability to design and conduct epidemiological studies and analyze health-related data.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use statistical and mathematical techniques to improve operational efficiency. This course can provide a helpful foundation for a career as an Operations Research Analyst. The course's focus on topics such as descriptive statistics, probability, and hypothesis testing can equip analysts with problem-solving skills and data analysis expertise.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. While not directly related to the field of Statistics, this course can provide a helpful foundation for Software Engineers who work with data-intensive applications. Topics such as descriptive statistics, probability, and sampling distributions can enhance their ability to understand and analyze data.
For more career information including salaries, visit:
OpenCourser.com/course/h2dvzp/statistics
Reading list
We've selected 16 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
Statistics Fundamentals for Business Analytics.
Provides a rigorous introduction to probability and mathematical statistics, making it suitable for advanced students.
Introduces the basic principles of statistics, emphasizing the importance of interpretation and context.
Comprehensive guide to modern statistical learning methods, providing a valuable reference for practitioners.
Save
Comprehensive guide to deep learning and neural networks, providing a valuable resource for advanced learners.
Provides a comprehensive introduction to Bayesian statistics, with a focus on computational methods and applications.
Provides a practical introduction to Bayesian statistics, using R and Stan for data analysis and modeling.
Combines a solid foundation in statistical theory with practical applications to business and economics.
Provides a comprehensive overview of statistical methods with a focus on business applications.
Save
Provides an overview of data mining techniques and their applications in various domains, including business and industry.
Provides practical examples of machine learning techniques using popular libraries like Scikit-Learn, Keras, and TensorFlow.
Provides a foundational understanding of reinforcement learning concepts and algorithms, making it suitable for advanced students.
Emphasizes the use of statistical software to analyze data and make informed decisions.
Is designed to help students develop conceptual understanding of statistical ideas and learn to reason with data. It has a clear writing style and interesting examples.
Is an online resource that provides a comprehensive overview of machine learning algorithms and techniques.
Provides a theoretical understanding of statistics with a focus on engineering and scientific applications.
Focuses on the applications of statistics in a variety of fields, such as engineering, medicine, and finance.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/h2dvzp/statistics
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Effort
2 to 4 hours per week for 6 weeks
Level
Elementary
Via
edX
Institution
Lehigh University
Instructor
Yuval Erez
Session
January 15, 2024
- January 15, 2025
Language
English
Transcript
English
Good to know
Taught by Yuval Erez, who are recognized for their work in business and economics
Develops basic descriptive statistical measures, sampling distributions, estimation, and hypothesis testing, which are core skills for Economics and Business
Introduces statistical analysis which is highly relevant to economics and business
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