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Gariman
- Rate R334
- Response 1h

R334/h
1st lesson free
- Maths
- Physics
- Statistics
- Algorithms
MS in Physics and Data Science | 2+ years of industry experience in Data Science | Among top rankers from different competitive exams in India
- Maths
- Physics
- Statistics
- Algorithms
Lesson location
About Gariman
I am Gariman and I have an MS in Physics and Data Science from the Indian Institute of Science Education and Research (IISER) Mohali.
I have been working in the Data Science domain for the past 2 years and understand the importance of fundamentals.
I have also participated in various competitive exams at all India level and hold a lot of accomplishments.
About the lesson
- A Level
- BTech
- Adult education
- +1
levels :
A Level
BTech
Adult education
Masters
- English
Languages in which the lesson is available :
English
My lessons take you on a journey from the fundamentals to advanced ideas - so naturally and progressively that you won’t even realize how far you’ve come!
Along the way, I weave in fascinating historical anecdotes and real-world stories, because complex ideas become much easier to understand and remember when they’re connected to stories. My goal is not just to teach you a subject, but to make you genuinely curious about it.
We’ll build Probability and Statistics from first principles to modern statistical thinking.
- Foundations: Sets, counting, axioms of probability, conditional probability, Bayes’ theorem, and independence.
- Random Variables: Discrete and continuous random variables, distributions, expectation, variance, moments, and generating functions.
- Core Distributions: Bernoulli, Binomial, Poisson, Geometric, Uniform, Exponential, Normal, and related distributions.
- Joint & Conditional Distributions: Covariance, correlation, transformations, and the law of total expectation and variance.
- Limit Theorems: Law of Large Numbers, Central Limit Theorem, and their statistical significance.
- Statistical Inference: Sampling distributions, estimation, confidence intervals, hypothesis testing, and likelihood.
- Regression & Data Analysis: Correlation, simple and multiple linear regression, residual analysis, and model interpretation.
- Advanced Foundations: Maximum likelihood, sufficiency, Bayesian ideas, and an introduction to asymptotic statistics.
- Problem Solving: Proof-based questions, challenging exercises, simulations, and real-world datasets to develop both mathematical intuition and statistical judgment.
Rates
Rate
- R334
Package rates
- 5h: R1670
- 10h: R3340
free lesson
The free first lesson with Gariman allows you to get to know the tutor and discuss your needs and expectations.
- 1h
online
- R334/h
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