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| Item Details | Price | ||
|---|---|---|---|
Probability & Statistics 2.0
Instructor: Sachin Tanwar
Language: English
Validity Period: 365 days
₹2999 60% OFF
₹1199 including 18% GST
No Description Available
| Section 0. Probability Basics (for Both CS and DA) | |||
| 1. Background, Basic Terms and Counting | |||
| 2. Combinatorics | |||
| 3. Practice Problems on Sets and Counting | |||
| 4. Basic Terms in Probability, and Axioms of Probability | |||
| 5. Practice Problems | |||
| 6. Practice Problems-2 | |||
| Section 1. Conditional Probability and Independence (for Both CS and DA) | |||
| 1. Conditional Probability and Bayes Theorem | |||
| 2. Practice Problems | |||
| 3. Independence of Events | |||
| 4. Practice Problems | |||
| 5. Problem Discusssion | |||
| Section 2. Random Variables (for both GATE CS and DA) | |||
| 1. Random Variables Intro | |||
| 2. Problems on Random Variables | |||
| 3. Properties of CDF and Intro to Discrete RV | |||
| 4. Discrete Random Variables | |||
| 5. Problems Discrete on Random Variable | |||
| 6. Problems on DRV-2 | |||
| 7. Expectation & Function of RV --- 1 | |||
| 8. Properties of Expectation and Problems | |||
| 9. More Problems based on DRV | |||
| 10. Doubt Class | |||
| 11. Doubt Class | |||
| 12. Continuous Distribution and Probability Density Function | |||
| 13. Probability Density Function | |||
| 14. Continuous Random Variables | |||
| 15. Normal Distribution and Problem Discussion | |||
| 16. Problem Discussion | |||
| 17. Basic Statistics | |||
| 18. Statistic Continued & Function of RV | |||
| 19. Function of Random Variables | |||
| 20. Practice Questions on Functions of Random Variables | |||
| 21. CRV Sheet Discussion and Funtions of RV | |||
| 22. Expectation of CRV and Variance | |||
| 23. Practice Questions Session-1 | |||
| 24. Practice Problems-2 | |||
| Section3: Multiple Random Variables | |||
| 1. Joint Distributions | |||
| 2. Joint Distribution: Comprehensive Understanding | |||
| 3. Joint mass function, density function and marginal distributions | |||
| 4. Independence of R.V. and Problem Discussions | |||
| 5. Conditional Distributions | |||
| 6. Practice Questions | |||
| Doubt - 1 | |||
| Problem Discussion | |||
| Joint Expectation and Covariance | |||
| Joint Expectation: Deeper Understanding | |||
| Covariance and Correlation | |||
| Section4: Statistics (Old, Will update for GATE 2026) | |||
| 1. Basics of Statistics | |||
| 2. Central Limit Theorem and Problem Discussion | |||
| CLT UCLA | |||
| 3. Confidence Intervals | |||
| 4. Problems on Confidence Intervals | |||
| 5. Chi-Squared and T-Distribution | |||
| 6. Questions on T and Chi-Squared Distribution, Intro to Hypothesis Testing | |||
| 1. Basics | |||
| 2. Sampling and Why Inferential Statistics works? | |||
| 3. Central Limit Theorem | |||
| 4. Problems on CLT | |||
| 5. Homework Problem Discussion (CLT) | |||
| 6. Estimation, Confidence Interval and Hypothesis Basic | |||
| 7. Point Estimation and Evaluation of Estimator | |||
| 8. Problems with MLE, MAP and MMSE as estimation technique | |||
| 9. Regression and MMSE | |||
| 10. z-distribution, t-distribution and chi-square distribution | |||
| 11. Confidence Interval Problems | |||
| 12. Story so far!! - SDSM, CI, z-Test & t-Test | |||
| 13. Hypothesis Testing Terminologies | |||
| 14. Problems | |||
| 15. One Tailed Test, Two-Tailed Test and P-Value | |||
| Revision Classes | |||
| 1. Probability Basics - Problem Discussion | |||
| 2. Correlation and Covariance Discussion | |||
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