Statistics for Data Analytics/ Data Science | Complete Statistics Tutorial
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What you'll learn
This course includes
- 8.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 34 lessons • 8.5 hours of video
Statistics for Data Analytics/ Data Science | Complete Statistics Tutorial
34 lessons
• 8.5 hours
Statistics for Data Analytics/ Data Science | Complete Statistics Tutorial
34 lessons
• 8.5 hours
- Statistics For Data Analytics | Complete Syllabus | Data Science | Statistics Tutorial | Part 1 04:14
- Types of Statistics | Descriptive | Inferential | Statistics for Data Science | Statistics Tutorial 08:34
- Types of Data | Types of Variables | Statistics for Data Science | Part 3 | Statistics Tutorial 08:50
- Population and Sample | Statistics for Data Science | Part 4 | Statistics Tutorial 04:16
- Sampling Techniques | Statistics for Data Science | Statistics Tutorial Part 5 08:05
- Statistical Data Analysis Complete Steps | Statistics for Data Science | Statistics Tutorial Part 6 04:48
- Measures of Central Tendency | Mean, Median, Mode | Statistics Tutorial Part 7 10:14
- Measures of Dispersion | Variance, Standard Deviation, Range, IQR, Quartiles, Percentiles | Part 8 13:05
- Frequency | Relative Frequency | Cumulative Frequency | Statistics Tutorial Part 9 06:28
- Must know Visualization in Statistics | Descriptive Statistics | Ultimate Guide !! | Part 10 17:45
- Outliers | Removing Outliers | Outliers detection | Impact on Data Analysis | Statistics Tutorial 04:36
- Correlation | Covariance | Causation | Difference between them | Statistics 09:17
- Probability Concepts for Data Analysis and Data Science | Statistics for Data Science 07:35
- Types of Events | Probability | Statistics Tutorial | Joint | Disjoint | Independent | Dependent 09:33
- Conditional Probability | Statistics Tutorial 02:49
- Bayes Theorem | Conditional Probability | Statistics Tutorial 08:23
- PMF | PDF | Probability Distributions | Probability Mass Function | Probability Density Function 06:48
- Bernoulli Distributions | Binomial Distributions | Discrete Probability Distributions 07:25
- Uniform Distribution | Continuous Distribution | Statistics Tutorial | Probability Distribution 04:08
- Normal Distributions | Standard Normal Distributions | Z Distributions | Z Score 05:21
- Standardisation | Normalisation | Probability Distributions | Feature Scaling 08:40
- Empirical Rule | 68-95-99.7 Rule | Normal Distributions | Statistics Tutorial 04:32
- Inferential Statistics | Point Estimation | Interval Estimation | Statistics Tutorial 11:45
- Confidence Interval | Interval Estimation | Margin of Error | Statistics Tutorial 08:35
- Student's T Distribution | Z Distribution | T test | Statistics Tutorial 03:59
- Hypothesis Testing| Null and Alternate Hypothesis | Level of Significance | P Value | Statistics 10:04
- Type 1 and Type 2 Error | Hypothesis Error | Statistics Error 04:04
- One tailed and Two tailed Tests | Hypothesis Testing | Detailed Explanation with Example 03:23
- Z Test hypothesis Testing | Types of Z Test | Explanation with example | Statistics 05:41
- Complete STATISTICS for Data Science | Data Analysis | Full Crash Course 03:45:34
- Statistics Project On Hypothesis Testing You NEED In Your Portfolio | Data Analytics Project 55:23
- T Test Hypothesis Testing | Independent and Paired T Test | Statistics Tutorial 04:35
- ANOVA Test | F Statistics | One Way ANOVA | Two Way ANOV | Statistics Tutorial 10:07
- Chi Square Test | Test for Independence | Goodness of Fit Test | Statistics Tutorial 06:50
