Complete STATISTICS for Data Science | Data Analysis | Full Crash Course

Description :

Master Statistics for Data Science & Data Analysis in 4 hours. This comprehensive Crash Course covers everything you need to know, from Descriptive Statistics and Probability to Inferential Statistics. Whether you're a complete beginner or looking for a refresher, this video is your one-stop shop for conquering Data Science Statistics. Timestamps: 00:00 Syllabus 4:16 Introduction to Statistics 6:39 Descriptive Statistics 9:16 Inferential Statistics 12:45 Types of Data and Variables 21:29 Population and Sample 25:40 Sampling Techniques 33:34 Statistical Analysis 38:12 Measures of Central Tendency 48:18 Measures of Dispersion 1:01:17 Frequency | Relative and Cumulative 1:07:38 Statistical Visualisation 1:25:16 Outliers 1:29:45 Covariance | Correlation | Causation 1:38:56 Probability Concepts (Sample Space | Random Experiment | Event | Complement of Probability) 1:46:24 Types of Events 1:55:30 Conditional Probability 1:58:14 Bayes Theorem 2:06:05 Probability mass function and Probability density function 2:12:20 Bernoulli Distribution | Binomial Distribution 2:19:13 Uniform Distribution 2:22:56 Normal Distribution | Z Distribution 2:27:52 Standardisation | Normalisation 2:36:06 Empirical Rule 2:40:11 Inferential Statistics 2:42:02 Point and Interval Estimation 2:51:30 Confidence Interval 2:59:40 T distribution 3:03:13 Hypothesis Testing 3:06:23 Null and Alternate Hypothesis 3:09:29 Level of Significance | P value 3:12:51 Type | and Type || Error 3:16:29 One tailed and Two tailed Test 3:19:20 Z Test (One sample z test | two sample z test) 3:24:35 T Test (Independent sample t test | Paired sample t test) 3:28:45 ANOVA Test (One way ANOVA | Two way ANOVA) 3:38:26 Chi-Square Test (Independence | Goodness of Fit Test)