Statistics for International Business
- Offered byCoursera
Statistics for International Business at Coursera Overview
Duration | 10 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Statistics for International Business at Coursera Highlights
- This Course Plus the Full Specialization.
- Shareable Certificates.
- Graded Programming Assignments.
Statistics for International Business at Coursera Course details
- 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
Statistics for International Business at Coursera Curriculum
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
Statistics for International Business at Coursera Admission Process
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