Feedback from my first course on ‘Conceptions of Probability’:
By Mr. Aditya Soni:
Hi Kaustav,
Thank you for teaching ‘conceptions of probability for business analytics’! Your class was a good refresher on probability. I had difficulties in grasping and application of permutations and combinations, to assess probability. But, your presentation of those concepts, elucidated my problem. Our discussion about solving problems for new businesses that may not have comprehensive data remains to be taken further. I’d like to take your full course, in the future, and see our discussion through. I’m sure your course will answer some of my questions on new businesses.
Best wishes to you and your students!
The link to the class will be shared via email after registration.
When is the Course?
Date of Classes – 18th August, 25th August & 1st September 2024
Time of Each Class* – 07:00 PM to 08:00 PM and 09:00 PM to 10:00 PM (IST)
Please join us 10 minutes before the class.
*Note: If there is any issue with the meeting in MS Teams, the class time will be rescheduled.
Details of the Course (August – September 2024)
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- Total Number of Classes = 6, Total Number of Hours = 6, Each Class is 1 hour.
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- Registration is on a first-come, first-served basis (the maximum number of Seats per Class is 50).
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- Price for Each Class = 1 hour × 399 ₹ = 399 ₹. You can Register for 1 Class or multiple Classes.
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- First Class on August 18, 2024, from 11.15 am to 12.15 pm is a Demo Class (Free)
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- Price for Full Course = 5 hours × 399 ₹ = 1995 ₹.
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- Additional Benefits: If you have doubts after the class, please message me on WhatsApp at 7678015696. I will respond to you within 7 days.
Steps to Register Before Your First Class:
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- Pay Online (GPay, PhonePe, Paytm on Phone No. 7678015696).
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- Complete the registration one day before (e.g., do registration before August 17th, 11:59 pm for Classes 1 and 2 scheduled for August 18th, 2024) with your transaction ID.
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- Share the payment confirmation (screenshot) via WhatsApp to 7678015696. Mention your name in the WhatsApp as well.
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- Receive the Meeting Link (MS Teams) before every Class via Registered Email ID. Make sure you have installed MS Teams on your computer before the class.
Contents of the Course
Based on the book Business Analytics (Adapted by P. Sashikala)
Class 1 & 2: 18th August 2024: Concepts of Probability
- Experiments, Counting Rules, and Assigning Probabilities (1)
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- Counting Rules
- Permutation and Combination
- Assigning Probabilities
- Probabilities for the KP&L Project
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- Events and their Probabilities (1)
- Basic Relationships of Probability (1)
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- Complement of an Event
- Addition Law
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- Conditional Probability (2)
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- Independent Events
- Multiplication Law
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- Baye’s Theorem (2)
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- Tabular Approach
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- Problem Solving (Case study) (2)
Class 3 & 4: 25th August 2024: Discrete Probability Distribution
- Random Variables (3)
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- Discrete Random Variables
- Continuous Random Variables
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- Developing Discrete Probability Distribution (3)
- Expected Value and Variance (3)
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- Expected Value
- Variance
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- Bivariate Distributions, Covariance, and Financial Portfolios (3)
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- A Bivariate Empirical Discrete Probability Distribution
- Financial Application
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- Binomial Probability Distribution (4)
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- A Binomial Experiment
- Martin Clothing Store Problem
- Using Tables of Binomial Probabilities
- Expected Value and Variance for the Binomial Distribution
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- Poisson Probability Distribution (4)
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- An Example Involving Time Intervals
- An Example Involving Length or Distance IntervalsPoisson Probability Distribution (4)
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Class 5 & 6: 1st September 2024: Continuous Probability Distribution
- Uniform Probability Distribution (5)
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- Area as a Measure of Probability
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- Normal Probability Distribution (5)
- Expected Value and Variance (5)
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- Normal Curve
- Standard Normal Probability Distribution
- Computing Probabilities for Any Normal Probability Distribution
- Gear Tire Company Problem
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- Normal Approximation of Binomial Probabilities (5)
- Exponential Probability Distribution (6)
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- Computing Probabilities for the Exponential Distribution
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- Relationship Between the Poisson and Exponential Distribution (6)
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- Problem-Solving (Specialty Toys) (6)