Introduction

Descriptive Statistics

Inferential Stats

What is Statistics

Types of Statistics

Population And Sample

Sampling Teechniques

What are Variables?

Variable Measurement Scales

Mean, Median, Mode

Measure of dispersion with Variance And SD

Percentiles and Quartiles

Five number summary and boxplot

Gaussian And Normal Distribution

Stats Interview Question 1

Finding Outliers In Python

Probability, Additive Rule, Multiplicative Rule

Permutation And combination

p value

Hypothesis testing, confidence interval, significance values

Type 1 and Type 2 error

Confidence Interval

One sample z test

one sample t test

Chi square test

Inferential stats with python

Covariance, Pearson correlation, spearman rank correlation

Deriving P values and significance value

Other types of distribution

Krish Naik

Statistics is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied
#statistics #statsfordatascience #krishnaik
All the materials are available in 
the below 
https://github.com/krishnaik06/The-Grand-Complete-Data-Science-Materials/tree/main

Timestamp 
0:00:00 Introduction
0:00:35 Descriptive Statistics
0:02:45 Inferential Stats
0:04:31 What is Statistics
0:06:54 Types of Statistics
0:11:22 Population And Sample
0:14:33 Sampling Teechniques
0:24:33 What are Variables? 
0:30:54 Variable Measurement Scales
0:42:55 Mean, Median, Mode
0:57:10 Measure of dispersion with Variance And SD
1:08:05 Percentiles and Quartiles
1:15:35 Five number summary and boxplot
1:29:12 Gaussian And Normal Distribution
1:56:40 Stats Interview Question 1
2:17:10 Finding Outliers In Python
2:32:00 Probability, Additive Rule, Multiplicative Rule
2:51:26 Permutation And combination
2:56:22 p value
2:59:19 Hypothesis testing, confidence interval, significance values
3:12:22 Type 1 and Type 2 error
3:25:55 Confidence Interval
3:46:45 One sample z test
3:59:11 one sample t test
4:06:32 Chi square test
4:21:45 Inferential stats with python
4:24:37 Covariance, Pearson correlation, spearman rank correlation
4:54:59 Deriving P values and significance value
5:13:41 Other types of distribution
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►Data Science Projects: 
https://www.youtube.com/watch?v=S_F_c9e2bz4&list=PLZoTAELRMXVPS-dOaVbAux22vzqdgoGhG&pp=iAQB

►Learn In One Tutorials

Statistics in 6 hours: https://www.youtube.com/watch?v=LZzq1zSL1bs&t=9522s&pp=ygUVa3Jpc2ggbmFpayBzdGF0aXN0aWNz

Machine Learning In 6 Hours: https://www.youtube.com/watch?v=JxgmHe2NyeY&t=4733s&pp=ygUba3Jpc2ggbmFpayBtYWNoaW5lIGxlYXJuaW5n

Deep Learning 5 hours : https://www.youtube.com/watch?v=d2kxUVwWWwU&t=1210s&pp=ygUYa3Jpc2ggbmFpayBkZWVwIGxlYXJuaW5n


►Learn In a Week Playlist

Statistics:https://www.youtube.com/watch?v=11unm2hmvOQ&list=PLZoTAELRMXVMgtxAboeAx-D9qbnY94Yay

Machine Learning : https://www.youtube.com/watch?v=z8sxaUw_f-M&list=PLZoTAELRMXVPjaAzURB77Kz0YXxj65tYz

Deep Learning:https://www.youtube.com/watch?v=8arGWdq_KL0&list=PLZoTAELRMXVPiyueAqA_eQnsycC_DSBns

NLP : https://www.youtube.com/watch?v=w3coRFpyddQ&list=PLZoTAELRMXVNNrHSKv36Lr3_156yCo6Nn

►Detailed Playlist:

Stats For Data Science In Hindi : https://www.youtube.com/watch?v=7y3XckjaVOw&list=PLTDARY42LDV6YHSRo669_uDDGmUEmQnDJ&pp=gAQB

Machine Learning In English : https://www.youtube.com/watch?v=bPrmA1SEN2k&list=PLZoTAELRMXVPBTrWtJkn3wWQxZkmTXGwe

Machine Learning In Hindi : https://www.youtube.com/watch?v=7uwa9aPbBRU&list=PLTDARY42LDV7WGmlzZtY-w9pemyPrKNUZ&pp=gAQB

Complete Deep Learning: https://www.youtube.com/watch?v=YFNKnUhm_-s&list=PLZoTAELRMXVPGU70ZGsckrMdr0FteeRUi

Complete Statistics For Data Science In 6 hours By Krish Naik

Complete Statistics For Data Science In 6 hours By Krish Naik

Complete Statistics For Data Science In 6 hours By Krish Naik

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