Скачать или смотреть Data Science Full Course for Beginners to Advanced Part 3 | Data Science Training​ 2025 (50 Hours)

Data Science Full Course for Beginners to Advanced Part 3 | Data Science Training​ 2025 (50 Hours)
✅Liverpool John Moore University MS In Data Science: https://www.upgrad.com/data-science-m...
✅IIIT Bangalore Post Graduate Program in Data Science & AI: https://www.upgrad.com/data-science-p...
✅Post Graduate Certificate in Data Science & AI (Executive): https://www.upgrad.com/data-science-p...
✅Become a Skilled and Job-Ready Data Scientist: https://www.upgrad.com/bootcamps/job-...

Welcome back to free Data Science full course for beginners to advanced Powered by upGrad. This is Part 3 of our comprehensive 50-hour Data Science tutorial designed to take you from an absolute beginner to advance data practitioner.
In the first part of the video, we have covered python & NumPy full course and in the second part, we have covered Python's Pandas library and statistics. This is Part 3 of data science full course video. In the next 9 hours, we're diving deep into the core of data science: Standard normal distribution (Z-distribution Z-score Empirical rule (68-95-99.7 rule), Central limit theorem, Skewness, Kurtosis, Probability density function, Multivariate normal distribution.

Data Science Full Course for Beginners to Advanced Part 1:    • Data Science Full Course for Beginners to ...  
Data Science Full Course for Beginners to Advanced Part 2:    • Data Science Full Course for Beginners to ...  

Topic Covered in this Video:
02:21 : What is Normal Distribution?
11:10 - Why Normal Distribution is so powerful
13:00 : Rules of Normal Distribution?
22:22 : Example of a Normal Distribution
30:35 : How to generate a normal distribution
32:00 : Z Score and Bell Curve
38:30 : Skewness of a Distribution
47:40 : How to determine if a distribution is Normal?
58:24 : How to convert Non-Normal Distribution to a Normal Distribution?
01:01:15 - Logarithmic Transformation
01:01:55 - Reciprocal Transformation
01:02:45 - Square root Transformation
01:04:33 - Boxcox Transformation
01:07:00 - Summary
01:10:35 - What Is Central Limit Theorem?
01:12:20 - What is Statistics?
01:20:15 - Example on Normal Distribution
01:30:00 - Z - Score and P - Value
01:41:01 - Population and Sample
01:48:45 - Example on Central Limit Theorem
02:02:40 - Assumption in Central Limit Theorem
02:07:45 - Simulations and Demonstrations
02:16:14 - Hypothesis Testing Statistics
02:20:45 - Example On Hypothesis Testing Statistics
02:31:00 - Alternative Hypothesis
02:33:00 - Null Hypothesis
02:35:55 - Hypothesis Testing
03:09:20 - Example on Hypothesis Testing
03:13:50 - Confidence Interval
03:15:50 - 7- Match Series
03:22:25 - Varieties of test
03:29:10 - Confusion Matrix
03:48:38 - Statistics Challenges
03:50:35 - Problems on Hypothesis Testing in Statistics
06:15:00 - What is T- test
06:19:30 - Varieties of T- test
06:33:29 - Explain Degree of Freedom
07:02:08 - Hypothesis Test Division
07:05:30 - Normal Distrubtion
07:07:45 - Non Normal Distrubtion
07:14:39 - Problems on Normal and Non Normal Distrubtion
07:46:00 - Wilcoxon and Wann Whitney Test
07:49:00 - Examples on Wilcoxon and Wann Whitney Test

#datasciencefullcourse #datascienceforbeginners #datasciencetutorial #datasciencecourse

Stay tuned for Data Science full course Part - 4.