Statistics for Data Science in Hindi (Krish Naik)
- Course audio
- Course audio: Hindi
- Level
- Beginner
- Length
- 27 lessons · 6.8 hours
What you'll be able to do
- Summarise data with central tendency, spread and percentiles
- Find outliers with box plots and Python
- Recognise common distributions and the central limit theorem
- Run z, t, chi-square and ANOVA tests
About this course
Krish Naik's 27-lesson statistics series in Hindi, about 7 hours, built for data analysts and data scientists. It starts with a roadmap, types of statistics, population and sampling, variables, then mean, median, mode, variance, standard deviation, percentiles, box plots and finding outliers in Python. The middle covers the normal, log-normal, power-law and Pareto distributions and the central limit theorem, and the last part does hypothesis testing with z-tests, t-tests, chi-square, ANOVA and F-tests, with practical Python sessions. The Hindi is easy to follow for Urdu speakers and it fits right before a machine learning course.
Syllabus
27 lessons · 6:47:56 in total
- 1Starter Roadmap For Learning Statistics For Data Analyst & Data Science In Hindi11:01
- 2Tutorial 1- What Is Statistics And What Are Its Types In Hindi?15:32
- 3Tutorial 2- What is Population And Sample And Sampling Techniques In Hindi?15:54
- 4Tutorial 3-What Are Variables And Its Types?9:05
- 5Tutorial 4- Measure Of Central Tendency- Mean, Median And Mode In Hindi13:55
- 6Tutorial 5-Measure Of Dispersion- Variance And Standard Deviation In Hindi17:00
- 7Tutorial 6-Percentiles And Quartiles In Hindi12:07
- 8Tutorial 7- How To Construct A Box Plot For Outliers In Hindi12:07
- 9Tutorial 8- Finding Outliers Using Python In Hindi13:39
- 10Tutorial 9-Normal Distribution And Its Empirical Formula10:48
- 11Tutorial 10-Central Limit Theorem|Statistics In Hindi8:09
- 12Tutorial 11- Log Normal Distribution Explained In Hindi9:53
- 13Tutorial 12- Power Law Distribution Explained In Hindi8:11
- 14Tutorial 13- Pareto Distribution Stats Explained In Hindi8:48
- 15Tutorial 14-What Is Hypothesis Testing Explained In Hindi|Krish Naik14:10
- 16Tutorial 15-Statistics Practical Implementation With Python Part 1- Krish Naik Hindi22:51
- 17Tutorial 16-Probability Density,Probability Mass & Cumulative Density Function Staitistics In Hindi30:59
- 18Tutorial 17-Hypothesis Testing And Statistical Analysis Using Z test25:36
- 19Tutorial 18-Hypothesis Testing And Statistical Analysis Using T Test13:32
- 20Complete Stats Guide With Usecases Solution For Data Science Interviews- Krish Naik Hindi8:03
- 21Tutorial 19- Type 1 And Type 2 Error In Statistics-Krish Naik Hindi15:23
- 22Tutorial 20-Confidence Interval And Margin of Error- Krish Naik Hindi18:14
- 23Tutorial 21- Chi Square test simply Explained In Stats- Krish Naik Hindi23:15
- 24Tutorial 22-Analysis Of Variance(ANOVA) and its types Part 1- Krish Naik Hindi27:43
- 25Tutorial 23- Analysis Of variance(Anova Test) Statistical Analysis Part 2- Krish Naik Hindi19:45
- 26Tutorial 24- F Distribution In Statistics- Krish Naik Hindi11:32
- 27Tutorial 25 -Variance Ratio Test Hypothesis Testing In Stats- Krish Naik hindi10:44
What to take next
Videos by Krish Naik Hindi, played from their official YouTube channel. Subscribe on YouTube
Official upload by the teacher or institution on their own channel, shown with YouTube's embedded player.
Lessons listed from the official YouTube playlist. Full playlist on YouTube
Lessons last checked Oct 2026. Course summary and lesson structure by Sabaq.
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