Course description
What will i learn?
Requirements
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1.1 Introduction to Statistics Descriptive and inferential Statistics Part-01
00:09:34
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1.1 Introduction to Statistics Descriptive and Inferential Statistics Part-02
00:10:51
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1.1 Introduction to Statistics Descriptive and Inferential Statistics Part-03
00:10:51
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1.2 Basic Terms of Statistics
00:08:26
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1.3 Types of Data
00:07:29
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2.1 Random Sampling
00:01:44
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2.2 Sampling with Replacement and without Replacement
00:01:19
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2.3 Cochran's Minimum Sample Size
00:01:51
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2.4 Types of Sampling
00:01:22
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2.5 Simple Random Sampling
00:01:24
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2.6 Stratified Random Sampling
00:01:27
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2.7 Cluster Random Sampling
00:01:21
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2.8 Systematic Random Sampling
00:01:42
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2.9 Multistage Sampling
00:01:22
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2.10 Sampling Error
00:03:02
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2.11 Methods of Collecting Data
00:06:34
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3.1 Exploratory Data Analysis Introduction
00:09:35
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3.2 Measures of Central Tendencies Measure of spread
00:08:47
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3.3 Data Distribution Plot Histogram
00:08:24
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3.4 Normal Distribution
00:02:58
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3.5 Z Value Standard Value
00:08:24
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3.6 Empherical Rule and Outliers
00:04:35
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3.7 Central Limit Theorem
00:04:29
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3.8 Normality Testing
00:08:02
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3.9 Skewness & Kurtosis
00:13:16
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3.10 Measures of Distance Euclidean Manhattan and Minkowski Distance
00:14:18
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3.11 Covariance and Correlation
00:10:26
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4.1 Hypothesis Testing Introduction
00:02:57
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4.2 Types of Hypothesis
00:04:50
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4.3 P Value Crtical Region
00:07:37
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4.4 Types of Hypothesis testing Parametric Non Parametric
00:01:52
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4.5 Hypothesis Testing Errors Type-I and Type-II
00:04:05
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4.6 Two Sample Independent t-test
00:05:31
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4.7 Two Sample Relation t-test
00:03:15
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4.8 One Way Anova Test
00:05:11
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4.9 Application of Hypothesis Testing
00:04:54
Ashok Veda
₹15900
₹26000
Lectures
36
Quizzes
1
Skill level
Beginner
Expiry period
Lifetime
