Pre-MBA Statistics
Welcome to the Pre-MBA Statistics course! By the end of this course, you will be able to describe how statistics can be used to summarize, analyze, and interpret data. This course introduces you to some aspects of descriptive and inferential statistics. You will learn to distinguish between various data types and describe the operations that you can execute with each type of data and the right tools to use. The course also discusses the concepts of probability, which form the backbone of statistical analysis.
Monthly Subscription Starting at AED 99 + VAT
- Level Foundation
- Duration 24 hours
- Course by IIMA - IIM Ahmedabad
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Offered by
About
Welcome to the Pre-MBA Statistics course! By the end of this course, you will be able to describe how statistics can be used to summarize, analyze, and interpret data. This course introduces you to some aspects of descriptive and inferential statistics. You will learn to distinguish between various data types and describe the operations that you can execute with each type of data and the right tools to use. The course also discusses the concepts of probability, which form the backbone of statistical analysis. In particular, the course explores how data behaves and provides insight into its analysis. Further, it discusses how data can be sampled and the pros and cons of these methods. The course also delves deeper into the behavior of large data sets based on well-established statistical results. This also enables you to identify the pitfalls of incorrectly using statistical laws. Lastly, you will learn how to estimate population parameters based on limited data and check the correctness of hypotheses about populations from limited data. This course is open to students from all disciplines holding a bachelor’s degree. A rudimentary knowledge of Mathematics would help grasp the concepts better.Modules
Course Introduction
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3
Videos
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1
Readings
3
Videos
- Course Introduction
- Meet Your Instructor (Prof. Sriram)
- Meet Your Instructor (Prof. Diptesh)
1
Readings
- Course Overview
Data Types and Visualization
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12
Videos
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3
Readings
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1
Discussion
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2
Assignment
2
Assignment
- Data Types and Visualization
- Graded Quiz: Types of Data
1
Discussions
- Types of Data
12
Videos
- Week 1: Introduction
- Introduction to Numerical Data
- Mean
- Median
- Measures of Variability
- Percentile
- Categorical: Cardinal Data
- Categorical: Ordinal Data
- Nominal Data
- Visualizing Numerical Data
- Visualizing Categorical Data
- Week 1: Summary
3
Readings
- Recommended Reading: Types of Data
- Essential Reading: Statistical Data Types: All You Need to Know
- Recommended Reading: Types of Data & Measurement Scales: Nominal, Ordinal, Interval and Ratio
Basics of Probability
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11
Videos
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2
Readings
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1
Discussion
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1
Assignment
1
Assignment
- Basics of Probability
1
Discussions
- Conditional Probability in Real Life
11
Videos
- Week 2: Introduction
- Random Experiments
- Events
- Relations Between Events
- The Axioms
- Probabilities of Unions of Events
- Probabilities of Events in a Partition
- Problem
- Conditional Probability
- Independence
- Problem
2
Readings
- Essential Reading: An Introduction to Probability & Statistics
- Recommended Reading: A Blog on Probability and Statistics
Random Variables
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5
Videos
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1
Readings
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2
Assignment
2
Assignment
- Random Variables
- Graded Quiz: Probability
5
Videos
- Introduction to Random Variables
- Probability Mass and Density Functions
- Uniform and Normal Random Variables
- Problem
- Week 2: Summary
1
Readings
- Recommended Reading: Random Variables
Types of Sampling
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5
Videos
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4
Readings
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1
Assignment
1
Assignment
- Types of Sampling
5
Videos
- Week 3: Introduction
- Introduction to Sampling
- Simple Random Sampling
- Stratified and Convenience Sampling
- Voluntary and Snowball Sampling
4
Readings
- Essential Reading: Types of Sampling Methods (With Examples)
- Recommended Reading: Sampling
- Recommended Reading: 8 Types of Sampling Techniques
- Recommended Reading: Sampling Methods Review
Probability Laws
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6
Videos
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1
Discussion
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2
Assignment
2
Assignment
- Probability Laws
- Graded Quiz: Sampling
1
Discussions
- Sampling Techniques and Systematic Errors
6
Videos
- Problem
- Expectations
- Law of Large Numbers
- Independent and Identically Distributed Random Variables
- Central Limit Theorem
- Week 3: Summary
Point Estimation
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5
Videos
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1
Readings
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1
Assignment
1
Assignment
- Point Estimation
5
Videos
- Week 4: Introduction
- Introduction to Some Key Terminology
- Distribution of Estimators
- Properties of Estimators
- Examples of Calculations for Point Estimation
1
Readings
- Essential Reading: What is a Point Estimate in Statistics?
Interval Estimation
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5
Videos
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2
Readings
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1
Discussion
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2
Assignment
2
Assignment
- Interval Estimation
- Graded Quiz: Point and Interval Estimation
1
Discussions
- Stratified Sampling vs. Simple Random Sampling
5
Videos
- What Is Interval Estimation?
- How Confident Are We About the Intervals We Create?
- How Do We Find the Width of a Confidence Interval?
- Examples of Calculations for Interval Estimation
- Week 4: Summary
2
Readings
- Recommended Reading: Sampling, Sampling Distributions, and Interval Estimation
- Recommended Reading: Interval Estimation
Introduction to Hypothesis Testing
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6
Videos
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1
Assignment
1
Assignment
- Introduction to Hypothesis Testing
6
Videos
- Week 5: Introduction
- Testing Hypotheses
- Null and Alternate Hypotheses
- The Logic Behind Hypothesis Testing
- Errors in Testing and Their Consequences
- Choosing Null and Alternate Hypotheses
Performing Hypothesis Tests
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5
Videos
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3
Readings
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1
Discussion
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2
Assignment
2
Assignment
- Performing Hypothesis Tests
- Graded Quiz: Hypothesis Testing
1
Discussions
- Hypotheses Testing and the Related Errors
5
Videos
- One Sample Test for Means When the Population Standard Deviation Is Known
- One Sample Test for Means When the Population Standard Deviation Is Unknown
- One Sample Test for Proportions
- Two Sample Tests
- Week 5: Summary
3
Readings
- Recommended Reading: Testing Hypotheses
- Essential Reading: Introduction to Hypothesis Testing
- Recommended Reading: Hypothesis Testing
Peer Review Assignment
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1
PeerReview
1
Peer Review
- Analyzing Student Performance
Course Wrap up Video
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1
Videos
1
Videos
- Course Wrap up Video
Auto Summary
Pre-MBA Statistics is a foundational course by Coursera, focusing on descriptive and inferential statistics within the Maths & Statistics domain. Led by expert instructors, the course spans 1440 minutes and covers data types, probability concepts, data sampling methods, and hypothesis testing. Ideal for bachelor's degree holders from any discipline with basic math knowledge, it offers both Starter and Professional subscription options to suit varying learner needs. Join to enhance your statistical analysis skills and prepare for advanced business studies.
Sriram Sankaranarayanan
Diptesh Ghosh