Course Summary
This course is designed to provide an introduction to statistical concepts and techniques relevant to international business. It covers topics such as hypothesis testing, regression analysis, and data visualization using real-world examples and case studies.Key Learning Points
- Gain a practical understanding of statistical tools and techniques used in international business
- Learn how to analyze and interpret data to make informed business decisions
- Apply statistical concepts to real-world scenarios through case studies and exercises
Job Positions & Salaries of people who have taken this course might have
- International Business Analyst
- USA: $70,000
- India: ₹6,00,000
- Spain: €35,000
- Market Researcher
- USA: $50,000
- India: ₹4,50,000
- Spain: €25,000
- Data Analyst
- USA: $65,000
- India: ₹5,50,000
- Spain: €32,000
Related Topics for further study
Learning Outcomes
- Apply statistical techniques to real-world business scenarios
- Analyze and interpret data to make informed business decisions
- Communicate statistical findings to stakeholders
Prerequisites or good to have knowledge before taking this course
- Basic understanding of algebra and statistics
- Familiarity with Microsoft Excel
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
- Video lectures
- Real-world case studies
Similar Courses
- Data Analysis for Business
- Applied Statistics
- Introduction to Business Analytics
Related Education Paths
Notable People in This Field
- Statistician and Founder of FiveThirtyEight
- Statistician and Founder of Gapminder
Related Books
Description
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.
Outline
- Using Graphs to Describe Data
- Welcome to Statistics for International Business
- Introduction - Using graphs to describe data
- 1. Decision Making in an Uncertain Environment
- 2. Population and Sample
- 3. Parameters and Statistics
- 4. Descriptive and Inferential Statistics
- 5. Graphs to Describe Numerical Values
- 6. Shape of a Distribution
- Summary
- Quiz: Categorical and Numerical Variables
- End of Week Quiz
- Using Measures to Describe Data
- Introduction- Using Measures to Describe Data
- 1. Descriptive Statistics- Using Measures to Describe Data
- 2. Measures of Central Tendency and Location
- 3. Mean, Median, and Mode- Which is Best?
- 4. Shape of a Distribution
- 5. Measures of Variability
- 5.1 Measures of Variability: Examples
- 6. Weighted Mean
- 7. Measures of Relationships Between Variables
- Summary
- Summative Questions
- End of Week Quiz
- Probability and Probability Distributions
- Probability and Probability Distributions - An Introduction
- 1. Introduction
- 2. Random Experiment
- 3. Events
- 4: Probability
- 4.1: The Definition of Probability
- 4.2: Probability Rules
- 4.3: The Addition Rule of Probabilities
- 4.4: Conditional Probability
- 4.5: The Multiplication Rule of Probabilities
- 5: Random Variables
- 5.1: The Probability Distribution Function
- 6: Properties of Discrete Random Variables
- 6.1: The Variance of a Discrete Random Variable
- 7. Continuous Random Variables
- 8. The Probability Density Function
- 9. The Expectations for Continuous Random Variables
- Probability and Probability Distributions - Summary
- Summative Questions
- End of Week Quiz
- Statistical Estimation
- Statistical Estimation - An Introduction
- 1. Statistical Estimation
- 2. Estimator and Estimate
- 2.1. Point Estimator and Point Estimate
- 2.2. Unbiased
- 2.3. Efficiency
- 3. Confidence Interval Estimation
- 3.1 Confidence Intervals, Part 1
- 3.1 Confidence Intervals, Part 2
- 4. Testing Hypothesis
- 4.1. Formulation of the Null Hypothesis and the Alternative Hypothesis
- 4.2. Test Statistic
- 4.2.1. The Decision Rule
- 4.2.2. Types of Errors
- 4.2.3. Performing the Test and the Decision Rule
- 4.2.3.1 Hypothesis Testing: Examples
- 5. Regression Model
- Statistical Estimation - Summary
- 1. Further on the Linear Regression Model
- 2. Deriving the OLS b
- 3.The Statistical Properties of the OLS b
- 4. Gauss-Marcov Theorem Proof
- Practice exercise
- Solution to practice exercise
- Practice exercise
- Solutions to practice exercise
- End of Week
- End of Course Quiz
Summary of User Reviews
Discover the world of statistics in international business with this course on Coursera. Students rave about the comprehensive curriculum and engaging lectures, which make even complex concepts easy to understand. Many users appreciate the practical examples and real-world applications, which help them apply the knowledge gained to their careers.Key Aspect Users Liked About This Course
The course covers a wide range of topics in statistics and their application to international business, making it a valuable resource for professionals in this field.Pros from User Reviews
- Comprehensive curriculum
- Engaging lectures
- Practical examples and real-world applications
- Valuable resource for professionals in international business
- Easy to understand even complex concepts
Cons from User Reviews
- Some users find the course content too basic
- Limited interaction with instructors
- Not enough hands-on practice
- Some technical issues with the online platform
- Some users find the course too time-consuming
George Kapetanios
3.7 Raiting
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