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George Kapetanios
This course introduces core areas of statistics that will be useful in business and for several MBA modules. It covers a variety of ways to present data, probability, and statistical estimation. You can test your understanding as you progress, while more advanced content is available if you want to push yourself.
Read more
This course introduces core areas of statistics that will be useful in business and for several MBA modules. It covers a variety of ways to present data, probability, and statistical estimation. You can test your understanding as you progress, while more advanced content is available if you want to push yourself.
Read more
This course introduces core areas of statistics that will be useful in business and for several MBA modules. It covers a variety of ways to present data, probability, and statistical estimation. You can test your understanding as you progress, while more advanced content is available if you want to push yourself.
This course forms part of a specialisation from the University of London designed to help you develop and build the essential business, academic, and cultural skills necessary to succeed in international business, or in further study.
If completed successfully, your certificate from this specialisation can also be used as part of the application process for the University of London Global MBA programme, particularly for early career applicants. If you would like more information about the Global MBA, please visit https://mba.london.ac.uk/.
This course is endorsed by CMI
Register for this course and see more details by visiting:
OpenCourser.com/course/e1xzdd/statistics
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What's inside
Syllabus
Using Graphs to Describe Data
In our study of statistics, we learn many methods to help us summarize, analyze, and interpret data with the aim of making informed decisions in an uncertain environment. In this first week we introduce tables and graphs that help us get a handle of data. These tools provide visual support for better decision making. With this in mind, we will guide you through the concept of decisions based on incomplete information. Beginning from here, we will introduce you to the concept of population vs. sample, of parameter vs. statistic and of descriptive statistics vs. inferential statistics. We will then go through the concept of describing data, and we will introduce the idea of creating and interpreting graphs to describe categorical and continuous random variables.
Read more
Syllabus
Using Graphs to Describe Data
In our study of statistics, we learn many methods to help us summarize, analyze, and interpret data with the aim of making informed decisions in an uncertain environment. In this first week we introduce tables and graphs that help us get a handle of data. These tools provide visual support for better decision making. With this in mind, we will guide you through the concept of decisions based on incomplete information. Beginning from here, we will introduce you to the concept of population vs. sample, of parameter vs. statistic and of descriptive statistics vs. inferential statistics. We will then go through the concept of describing data, and we will introduce the idea of creating and interpreting graphs to describe categorical and continuous random variables.
Read more
Using Measures to Describe Data
This week we will describe and summarize the information in the data using numerical values or measures that are able to summarise information. This is a crucial extension to the analysis of the previous week. While graphs are informative it is usually crucial for improved understanding of the data at hand to discuss their numerical properties. In this week, we will look at a range of measures, such as measures of central tendency, the range, variance, standard deviation, and so on.
Probability and Probability Distributions
Probability theory is a young arrival in mathematics- and probability applied to practice is almost non-existent as a discipline. We should all understand probability, and this lecture will help you to do that. It’s important for you to understand first that the world in which your future occurs is not deterministic- and there are future outcomes where a probability model cannot be developed…
This week, we will cover the basic definition of probability, the rules of probability,random variables, -probability density functions, expectations of a random variable and Bivariate random variables.
Statistical Estimation
For statistical analysis to work properly, it’s essential to have a proper sample, drawn from a population of items of interest that have measured characteristics. This week, we will cover statistical estimation, sampling distribution of the mean, point estimation, interval estimation, hypothesis testing, the Null hypothesis and look at some real life examples of their use.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops skills that are valuable in business and international business environments
Meets a portion of the application requirements for the University of London Global MBA
Helps learners build skills in data visualization, probability, and statistical estimation
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Reviews summary
Helpful statistics for business
Learners say that Statistics for International Business is a challenging but rewarding course that improves their statistics and business skills. Praised aspects of the course include its clear explanations, engaging video lectures, and well-organized structure. Some learners found the difficulty of the course to be a positive aspect, as it pushed them to learn more. Others found the difficulty to be a negative aspect, as it made it challenging to understand the material. Overall, learners recommend this course to those who are interested in learning more about statistics and business.
Learners find the course to be well-organized and easy to follow.
"The teaching was not done well and sufficient examples were not given. Only towards the end when another teacher started teaching with the board(he was standing against an orange /yellow background) did I understand what was happening."
"Very bad quality, there are a lot of spelling errors across the assignments and tests. Furthermore, you have no possibility to finish the course just with the content provided, almost no examples but examination which requires knowledge not covered in the course."
"I recommend watching on the web to see whether you can not find other sources for more information and example before giving up. I also find annoying the fact that we need to give back 2 assignments that need to be correcting by other people following this course, it is annoying to wait and stay stuck because of it (even more when no one is active in this course)."
Learners find the course to be challenging but rewarding.
"The courses are often blurry and not well organized..."
"Please improve this course."
"This course barely provides any example or explanation that can help the student to understand the material especially for the Summative Questions."
Learners find the video lectures in this course to be engaging and helpful.
"I absolutely loved this course, I enjoyed everything about the course and the professors are absolutely amazing in the way they teach you throughout the course."
"The delivery could be much better though. If you had no or little experience with the subject matter, it can be quite difficult to understand what exactly is going on as they make reference to tools like the Z table and never really say what it is or how to use it."
"I recommend watching videos about Statistics on Youtube before starting this lesson."
Learners find the explanations in this course to be clear and easy to follow.
"Clear and Easy to Understand"
"I recommend this course. Very useful to immerse yourself in the world of statistics applied to business."
"Course content is really good and provides the challenge expected of a syllabus that prepares you for a world-class MBA."
Opinions are divided on the difficulty of this course.
"Good surface level refresher for general concepts. Helped me realize that I will never pursue statistics as a career."
"The Course in terms of understanding, is very vague, again, the classes are "read" and not explained as in the ones where the teacher ends up going to the board and exercises the known. Make it better!"
"Please invite experienced professors/lecturer to your worldwide courses. We can read definition of a term online or in a textbook. The reason of enrolling in an online course is learning from an experienced teacher/professor who can describe terms of the science in simple language.Thank you."
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 International Business with these
activities:
Read 'Statistics for Business and Economics'
Show steps
Supplement your coursework with a comprehensive textbook that covers key statistical concepts and their relevance in business.
View
Statistics for Business and Economics
on Amazon
Show steps
-
Read the assigned chapters before each lecture
-
Take notes and highlight important concepts
-
Apply the concepts to real-world business scenarios (optional)
Study Groups
Show steps
Collaborate with peers to deepen understanding of course material through discussions, shared problem-solving, and quizzing.
Show steps
-
Form a study group with 2-4 classmates
-
Meet regularly to discuss lecture topics and assignments
-
Take turns leading discussions and presenting summaries
Create Visual Diagrams
Show steps
Enhance your visualization and understanding of statistical concepts by creating visual diagrams to represent data.
Show steps
-
Choose a complex statistical concept
-
Design a diagram that illustrates the concept clearly
-
Share your diagram with others for feedback
Five other activities
Expand to see all activities and additional details
Show all eight activities
Apply Statistical Concepts to Business Case Studies
Show steps
Enhance your problem-solving abilities by analyzing real-world business case studies and applying statistical concepts to make informed decisions.
Show steps
-
Review case studies provided by the course
-
Identify the statistical concepts relevant to each case study
-
Apply these concepts to analyze the case study and make recommendations
Data Presentation Proposal
Show steps
Develop a proposal for a data presentation that effectively communicates statistical insights to a business audience.
Show steps
-
Define the purpose and目标audience of the presentation
-
Identify the key statistical findings to be presented
-
Choose appropriate visual aids and data storytelling techniques
-
Develop a clear and concise presentation outline (optional)
Solve Practice Problems
Show steps
Reinforce your understanding of concepts by solving practice problems provided by the course or from other sources.
Show steps
-
Identify challenging concepts from each week's lecture
-
Find practice problems that specifically address these concepts
-
Allocate time each week to solve these practice problems
Create Interactive Data Visualizations
Show steps
Enhance your data visualization skills by following tutorials that guide you through creating interactive data visualizations using tools like Tableau or Power BI.
Show steps
-
Identify a dataset that you find interesting
-
Choose a tutorial that aligns with your goals and skill level
-
Follow the tutorial step-by-step to create your own interactive visualization
-
Share your visualization with others to get feedback (optional)
Create a Statistical Model
Show steps
Apply your statistical knowledge to solve a real-world problem by building a statistical model to predict or analyze data.
Show steps
-
Identify a business problem that can be addressed using statistical analysis
-
Collect and clean the necessary data
-
Choose appropriate statistical techniques to analyze the data
-
Develop a statistical model to solve the problem
-
Evaluate and validate the model's performance
Read 'Statistics for Business and Economics'
Show steps
Supplement your coursework with a comprehensive textbook that covers key statistical concepts and their relevance in business.
View
Statistics for Business and Economics
on Amazon
Show steps
Show steps
Show steps
- Read the assigned chapters before each lecture
- Take notes and highlight important concepts
- Apply the concepts to real-world business scenarios (optional)
Study Groups
Show steps
Collaborate with peers to deepen understanding of course material through discussions, shared problem-solving, and quizzing.
Show steps
Show steps
Show steps
- Form a study group with 2-4 classmates
- Meet regularly to discuss lecture topics and assignments
- Take turns leading discussions and presenting summaries
Create Visual Diagrams
Show steps
Enhance your visualization and understanding of statistical concepts by creating visual diagrams to represent data.
Show steps
Show steps
Show steps
- Choose a complex statistical concept
- Design a diagram that illustrates the concept clearly
- Share your diagram with others for feedback
Five other activities
Expand to see all activities and additional details
Show all eight activities
Apply Statistical Concepts to Business Case Studies
Show steps
Enhance your problem-solving abilities by analyzing real-world business case studies and applying statistical concepts to make informed decisions.
Show steps
Show steps
Show steps
- Review case studies provided by the course
- Identify the statistical concepts relevant to each case study
- Apply these concepts to analyze the case study and make recommendations
Data Presentation Proposal
Show steps
Develop a proposal for a data presentation that effectively communicates statistical insights to a business audience.
Show steps
Show steps
Show steps
- Define the purpose and目标audience of the presentation
- Identify the key statistical findings to be presented
- Choose appropriate visual aids and data storytelling techniques
- Develop a clear and concise presentation outline (optional)
Solve Practice Problems
Show steps
Reinforce your understanding of concepts by solving practice problems provided by the course or from other sources.
Show steps
Show steps
Show steps
- Identify challenging concepts from each week's lecture
- Find practice problems that specifically address these concepts
- Allocate time each week to solve these practice problems
Create Interactive Data Visualizations
Show steps
Enhance your data visualization skills by following tutorials that guide you through creating interactive data visualizations using tools like Tableau or Power BI.
Show steps
Show steps
Show steps
- Identify a dataset that you find interesting
- Choose a tutorial that aligns with your goals and skill level
- Follow the tutorial step-by-step to create your own interactive visualization
- Share your visualization with others to get feedback (optional)
Create a Statistical Model
Show steps
Apply your statistical knowledge to solve a real-world problem by building a statistical model to predict or analyze data.
Show steps
Show steps
Show steps
- Identify a business problem that can be addressed using statistical analysis
- Collect and clean the necessary data
- Choose appropriate statistical techniques to analyze the data
- Develop a statistical model to solve the problem
- Evaluate and validate the model's performance
Career center
Learners who complete Statistics for International Business will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course provides a strong foundation in statistics, which is essential for success in this role. You will learn how to use statistical techniques to identify trends, patterns, and relationships in data. This knowledge will be invaluable in helping you to make better decisions and solve problems in your work as a Data Analyst.
Statistician
Statistician
Statisticians use statistical techniques to collect, analyze, and interpret data. They use statistical techniques to make inferences about the population from which the data was collected. This course will provide you with the skills you need to succeed in this role. You will learn how to use statistical techniques to collect, analyze, and interpret data.
Data Scientist
Data Scientist
Data Scientists use statistical techniques to analyze data and solve problems. They use statistical techniques to identify trends, patterns, and relationships in data. This course will provide you with the skills you need to succeed in this role. You will learn how to use statistical techniques to analyze data and solve problems.
Business Analyst
Business Analyst
Business Analysts help businesses to improve their performance by identifying and solving problems. They use statistical techniques to analyze data and make recommendations for improvement. This course will provide you with the skills you need to succeed in this role. You will learn how to use statistical techniques to identify trends, patterns, and relationships in data. This knowledge will be invaluable in helping you to make better decisions and solve problems in your work as a Business Analyst.
Financial Analyst
Financial Analyst
Financial Analysts use statistical techniques to analyze financial data and make recommendations for investment. This course will provide you with the skills you need to succeed in this role. You will learn how to use statistical techniques to analyze financial data and make recommendations for investment.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use statistical techniques to analyze financial data and make recommendations for investment. This course will provide you with the skills you need to succeed in this role. You will learn how to use statistical techniques to analyze financial data and make recommendations for investment.
Data Journalist
Data Journalist
Data Journalists use statistical techniques to analyze data and tell stories. They use statistical techniques to identify trends, patterns, and relationships in data. This course will provide you with the skills you need to succeed in this role. You will learn how to use statistical techniques to analyze data and tell stories.
Risk Analyst
Risk Analyst
Risk Analysts use statistical techniques to assess and manage risk. They use statistical techniques to analyze data and make recommendations for reducing risk. This course will provide you with the skills you need to succeed in this role. You will learn how to use statistical techniques to analyze data and make recommendations for reducing risk.
Market Research Manager
Market Research Manager
Market Research Managers oversee the collection, analysis, and interpretation of market research data. They use statistical techniques to identify trends, patterns, and relationships in market research data. This course will provide you with the skills you need to succeed in this role. You will learn how to use statistical techniques to analyze market research data and make recommendations for action.
Actuary
Actuary
Actuaries use statistical techniques to assess and manage risk. They use statistical techniques to analyze data and make recommendations for reducing risk. This course will provide you with the skills you need to succeed in this role. You will learn how to use statistical techniques to analyze data and make recommendations for reducing risk.
Economist
Economist
Economists use statistical techniques to analyze economic data and make recommendations for economic policy. They use statistical techniques to identify trends, patterns, and relationships in economic data. This course will provide you with the skills you need to succeed in this role. You will learn how to use statistical techniques to analyze economic data and make recommendations for economic policy.
Market Research Analyst
Market Research Analyst
Market Research Analysts collect and analyze data to help businesses understand their customers and make better decisions. They use statistical techniques to identify trends, patterns, and relationships in data. This course will provide you with the skills you need to succeed in this role. You will learn how to use statistical techniques to analyze data and make recommendations for improvement.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use statistical techniques to improve the efficiency of business operations. They use statistical techniques to analyze data and make recommendations for improvement. This course will provide you with the skills you need to succeed in this role. You will learn how to use statistical techniques to analyze data and make recommendations for improvement.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers use statistical techniques to develop and deploy machine learning models. They use statistical techniques to analyze data and make recommendations for improvement. This course will provide you with the skills you need to succeed in this role. You will learn how to use statistical techniques to develop and deploy machine learning models.
Survey Researcher
Survey Researcher
Survey Researchers use statistical techniques to design and conduct surveys. They use statistical techniques to analyze survey data and make recommendations for action. This course will provide you with the skills you need to succeed in this role. You will learn how to use statistical techniques to design and conduct surveys and analyze survey data.
For more career information including salaries, visit:
OpenCourser.com/course/e1xzdd/statistics
Reading list
We've selected 21 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 for International Business.
Highly regarded as a comprehensive guide to the analysis of complex data in statistics.
This textbook comprehensive reference on statistical methods commonly used in business and economics.
A valuable introduction to modern statistical learning and data analysis.
Complements the course in topics covered and depth of treatment, and would be a useful text to read alongside.
An excellent reference on the fundamentals of experimental design and analysis.
Save
A well-written and accessible introduction to statistical inference.
A classic textbook on mathematical statistics with a practical orientation.
Comprehensive textbook for business and economics students. It covers the core statistical methods used in business and economics, including descriptive statistics, probability, inference, and regression analysis.
Provides a comprehensive overview of probability and mathematical statistics.
This textbook is designed for students in business and economics who need a strong foundation in statistical methods. It covers topics such as probability, confidence intervals, hypothesis testing, and regression analysis.
A good resource for beginners who want to understand the basics of Bayesian statistics.
Save
This textbook practical guide to statistical methods for business students. It covers various topics, including data collection and analysis, hypothesis testing, and regression analysis.
Provides a current and comprehensive review of statistical methods used to analyse business data. Includes case studies and examples.
Is an excellent resource for students who are new to statistics. It covers basic statistical concepts in a clear and concise manner.
While more introductory than other texts, this book popular choice at the undergraduate level. It provides a solid introduction to statistics and includes helpful practice exercises.
Provides a comprehensive introduction to Bayesian data analysis.
Provides a clear and concise introduction to causal inference.
A high-level review of statistical theory that is more appropriate for graduate students.
A classic text in statistical theory that may be suitable for the most advanced undergraduate students or as a reference in graduate programs.
Provides a comprehensive introduction to probability.
This graduate-level textbook provides a comprehensive overview of mathematical statistics.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/e1xzdd/statistics
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Effort
4 weeks of study, 5 hours per week
Via
Coursera
Institution
University of London
Instructor
George Kapetanios
Language
English
Transcripts
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آذربایجان دیلی
This course belongs to a
collection
called
International Business Essentials. It's comprised of six courses:
- Professional Skills for International Business
- International Business Environment
- Statistics for International Business (viewing)
- Quantitative Foundations for International Business
- International Business Capstone
- Management Skills for International Business
Good to know
Develops skills that are valuable in business and international business environments
Meets a portion of the application requirements for the University of London Global MBA
Helps learners build skills in data visualization, probability, and statistical estimation
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