Statistics - A Full Lecture to learn Data Science 

If you like, please find our e-Book here: datatab.net/statistics-book

00:02 Statistics deals with the collection, analysis, and presentation of data. 02:48 Descriptive and Inferential Statistics 08:08 Understanding the difference between standard deviation and variance 10:47 Contingency table helps analyze relationship between two categorical variables 16:01 Hypothesis testing and P value 18:28 Interpreting P-values and Types of Errors 23:16 Understanding levels of measurement is crucial for data analysis 25:43 Different levels of measurement in data science 30:37 Measurement of interval level and true zero point in statistics 33:08 Levels of measurement in statistics 38:24 Understanding the T Test in Data Science 40:52 T Test answers if study duration of men and women is significantly different 45:37 Determining if null hypothesis is rejected using critical T value 48:03 Interpreting t-test results for independent samples 53:03 Using ANOVA for analyzing differences between groups 55:27 Understanding null and alternative hypothesis in population mean comparison 1:00:31 Two-way Anova tests the effects of two independent variables on a dependent variable. 1:03:03 Two-way Anova can answer three main questions about the factors' impact on the dependent variable. 1:07:49 Conducting two-way ANOVA for testing the influence of drug type and gender on blood pressure reduction. 1:10:10 Variance in a Two-Way Analysis of Variance 1:15:12 Calculating F values for factor A, B, or interaction 1:17:40 Repeated measures Anova tests for significant differences in dependent samples 1:22:29 How to calculate and interpret analysis of variance with repeated measures 1:24:50 ANOVA with repeated measures and Bonferroni post hoc test 1:29:44 Calculating F value and P value in ANOVA analysis 1:32:13 Comparing cholesterol levels across different diets and time points 1:36:57 Testing assumptions in ANOVA 1:39:20 Understanding hypothesis testing in Data Science 1:44:12 Nonparametric tests have fewer assumptions than parametric tests 1:46:47 Using rankings for Spearman's correlation and conducting T tests for independent samples 1:51:41 Analytical tests for normal distribution involve several procedures and interpreting the P value 1:54:16 P value is influenced by sample size 1:59:27 Lavine's test is used to test assumptions for hypothesis tests. 2:02:08 Testing for Equality of Variances and Nonparametric Methods 2:07:00 Interpreting Mann-Whitney U test results 2:09:36 Calculating man with U test and P value calculation 2:14:39 Wilcoxon test compares ranks of dependent samples 2:17:13 Calculation of Wilcoxon Test for rank sums 2:22:26 The cral Wallis test is a non-parametric counterpart of the single factor analysis of variance 2:24:47 Usage and assumptions of Crosstab Volis Test 2:30:05 Friedman test for analyzing differences between dependent samples 2:32:34 Dependent samples in statistics 2:37:28 Performing nonparametric test for analyzing response time differences 2:40:08 Analyzing response time differences at different time points 2:45:17 Kai Square test measures relationship between variables 2:47:44 Understanding Chi-Square Test Results 00:00 Understanding correlation analysis 2:55:39 Understanding Pearson correlation coefficient 3:01:01 Understanding Pearson and Spearman correlations in Data Science 3:03:28 Explaining the calculation of Spearman correlation using ranks 3:08:43 Correlation coefficient analysis and testing 3:11:14 Calculating Pearson correlation for nominal variables 3:16:04 Causality vs Correlation 3:18:39 Negative correlation implies lower body temperature with more head lice and higher body temperature with fewer head lice. 3:23:44 Regression analysis is crucial for predicting outcomes based on various factors. 3:26:17 Logistic regression is used for categorical dependent variables like yes or no. 3:31:16 Linear regression models help estimate relationships between variables. 3:33:44 Understanding error in regression models like Epsilon 3:38:51 Understanding the correlation in linear regression 3:41:21 Understanding F test in data analysis 3:46:23 Check for linear relationship and normal distribution in regression model 3:48:45 Multicollinearity can lead to unstable regression models 3:53:49 Interpreting regression coefficient for gender 3:56:30 Creating dummy variables from categorical data 4:01:28 Logistic regression estimates the probability of occurrence of a particular characteristic 4:04:02 Logistic Regression ensures values between 0 and 1 for predictions 4:09:17 K-means clustering algorithm steps 4:11:45 Determining optimal number of clusters using elbow method

The world is still exists because of people like you. Thanks a ton for this lecture. God bless you.

It is something very special that you have created to educate us. Absolutely Great Efforts. Thank you very much.

Das ist ein ganz ganz tolles Video. Ich nehme gerade meinen ersten Statistik Kurs in Psych und war endlos verzweifels. Danke vielmals.

I just compelted less than 4 minutes of the entire 4 hours video and found that I'm already in love with the trainers explanation, classification of learning and the courage she gave before hand. I love this and will watch for the NeXT 2 years in my M.Sc (Applied Statistics). More comments on the fly. I love Statistics.

The best lectures on Statistics I have listened to ever. Your voice, pace, method and content is fantastic. Thank you so much! I will listen to your lectures more than once. So much to learn in a pleasant and enjoyable way.

I think you have saved my project. I cannot thank you enough! Keep going with the video!

Right now I'm at the reading 15 minutes and 41 seconds. The trainer is saying about Hypothesis Tests and Various types of Hypothesis tests. I love this video.

Splendid, I'll save this video in my playlist and share it with friends. My plan 30 mins per day till I digest and understand all statistics ❤❤

A comprehensive and clear concepts illustrated teaching video of statistics. Thank you so much for producing it.

I finally finished it it took me 3 days, on an off. Comprehensive enough for my doubts.

you are one of the best teacher on internet

The lecture was really very organized, and it even seemed that every single item of information had been put in place with great thought. What's more, the high level of engagement has captured viewers by making difficult concepts easily apprehensible, thus encouraging active participation. Thank You!

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Outstanding work! Absolutely to-the-point and simple to understand. Grateful!

Thanks for the enlightenment, one of the best video on statistics so far

Explanation of regression is absolutely amazing. Thanks 😊

I love your simple presentations!

I needed this for my PhD thesis. Thank you. I need to abdorb incrementally 😊

A heart felt thank you from Ethiopia!

Very simple and excited video. Thanks alot 😊😊

Absolutely foundational and wicked awesome! Awesome Tutorial.

Well explained the essentials of the concepts and principles of statistics and related subjects. Thanks for posting this important and informative lesson!

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I like the way you explaining. you are far more better than my National Institute of Technology, Trichy professors. thanks you for this video.👍

Excellent video. Very clear and exceptional illustrations. The result of a lot of work without a doubt.

Thank you so much for making it so simple and digestible! Really liked it!

Very smooth explanation.. simply superb. Loved it. Statistics is no more boring and scary!

Wow very valuable content! Thanks for that! 🤗

At last, a clear and simple tutorial. Thank you very much

Absolutely Great Efforts, thank you

Thank you for taking the 4 hrs long trouble for us, it was needed badly. ❤

Super..thanks...appreciate your teaching.

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Thanks for excellent explanation about statistics

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I am preparing for CHDA (Certified Health Data Analyst) certification and I found this is most useful for me to prepare for the exam. Thank you so much! It was we presented and explained very well.

This is precious. Tks a lot

This is really a good tutorial into the subject

Thank you so much for this lecture

I always find this page very useful and I like the Lecturer as well, She speaks very clearly and gets everything right inside my ears. I will love to meet Her one day personally and one on one. I will be very glad.

Thank you, I need this

Thank You! This is a great help for board exam preparation for psychometrician!, so, helpful❤

Not gonna lie, just trying to refresh some stuff and ive been on ur channels all afternoon! take my upvote

Great start , after a few minutes I feel the information is well delivered, formulated and spot on topic !! I will keep watching

Really Don’t know How to Thank You❤❤.But You have Opened my eyes in a very meaningful way.Never the statistics was so much fun for me.I was always struggling in Data analysis.

I am greatful to this good and elaborate explanation of statistics. This is Gem in my oncoming research work analysis for my MSc. Immunology. Thank you mum.

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Love the way you teach simple and crisp

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Hello from Brisbane. I will definitely be telling all my colleagues about you. Hoping to see lots of scientific papers with your name in the citation for years to come.

Great tutorial! Very well explianed!

Thank you so much for this video

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Wow....4 hours video and for the first time the German accent doesn't scare me

Outstanding, many thanks!

Please make a content on Probability as well... Thanks guys for the content...

I am a statistics student, and I learned a lot of info thinks ❤❤

Pretty useful for my studying. Thanks a lot❤

Thank you from the bottom of my heart!

Your book is very good and complete!!! Congrats! Prof. Luis Vidal, epidemiology dept, school of medicine, ufrj, rio de janeiro, brazil.

This is wonderful thanks, I'm going to enjoy in half hour chunks also - I'm a physics teacher but I am enjoying being reminded about this content. By the way what do you use for your graphics they are super? I would like to do a similar thing for making physics revision videos for my students.

Great video 👍🏻

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Thank you so much.

Thank you for making learning fun :D

Amazing content!! Thanks!!

Hi DATAtab your explanation is good & Nice.

The lecture was certainly very valuable and excellent, but the presentation was amazing. Can you tell me about the program used in this presentation work?

Very thankful

Hello, Dear, I joined your channel recently and your videos are helpful for statistics. I love your brief description with great examples and clear explanations. But now I want to ask one question and I hope, you will clarify it. The question is "What is the difference between multivariable and multivariate analysis".

Excellent .

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Just great video

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very appreciated

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Awesome, it's totally usefull. Thanks a bunch Miss

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Informative videos

Brilliant as usual ❤

Thank you for this tutorial

I am trying to get into data science with R programming and I found your video so far great and highly informative. Do you have a future plan to make videos about data science in detail such as probability, machine learning, data visualization and etc thanks. I'm Yehualashet from Ethiopia.

The lecture is very helpful in all aspects. Thank you.

Thank you...just bought the book.

U are awesome in teaching and in ur attitude 😊😊

🔴 Well done and keep it up! You deserve a like and another subscriber! 👍👏

Thank you so much. O wish you were my teacher in school.

thanks a lot.

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epic video, I will be binch watching soon 🙂