Complete Descriptive Statistics Notes with Ayushi Mishra

video tutorial: Descriptive Statistics for Data Analysis and Data Science in 1 hour

https://youtu.be/Cn16Qc0pVuw

Perfect for freshers and working professionals aspiring to excel in data analysis and data science, these notes break down complex concepts, making stats easy and provide a detailed explanation with real life examples of all the concepts of descriptive statistics. Visualize data, interpret numbers confidently, and boost your data skills.

1. What is statistics?
2. Types of statistics - Descriptive and Inferential
3. Types of data
4. Population and Sample
5. Sampling Techniques
6. Statistical Data Analysis Steps
7. Measures of Central Tendency (Mean, Median, Mode)
8. Measures of Dispersion (Range, IQR, Variance, Standard Deviation, Quartile, Percentile)
9. Frequency, Relative Frequency, Cumulative Frequency
10. Graphical Representations (Histograms, Boxplots, Scatterplots)
11. Outliers, How to detect outliers?, How to removing outliers?
12. Correlation, Covariance, Causation and difference between them