A ** 7-day study plan** from beginner to advanced level to learn 50+ concepts in statistics.

**Basic Statistics: 2 Days**

- What is Statistics And What are types of statistics?
- Introduction to probability
- Addition rule for probability
- Multiplication rule for probability
- Descriptive And Inferential Statistics
- Population and Sample
- Measure Of Central Tendency (Mean, Median, Mode)
- Measure Of Dispersion(Variance, Standard Deviation)
- Population Mean And Sample Mean
- What is a distribution and types of distributions?
- Sampling Method And Its Types
- What is a variable? and Random Variable?
- Variable measurement scales
- Frequency Distribution And Cumulative Frequency
- What is a histogram?

**Intermediate Statistics – 2 days**

- Percentiles And Quantiles
- IQR — InterQuantileRange
- Box Plots
- What is PDF ?
- What is CDF?
- What is a kernel?
- What is kernel density estimation?
- What is skewness?
- Outliers and How to detect outliers
- When/How to remove outliers?
- Normal Distribution or Gaussian Distribution
- What is Empirical Formula?
- What is z-score?
- How to calculate z-score? and z-score table
- Standardization Vs Normalization
- Standard Normal Distribution
- Central Limit Theorem
- Chebyshev’s Inequality
- Covariance
- Covariance Matrix
- Pearson Correlation Coefficient
- Spearman Correlation Coefficient

**Advanced Statistics — 3 days**

- What are types of plots?
- QQ-Plot
- How to find if data is normally distributed?
- Log normal distribution
- Power law
- Pareto distribution
- What are transformations?
- Box-Cox transform
- Confidence Interval
- Type-I and Type-II errors
- One tailed and two tailed tests
- What is Hypothesis testing?
- What is p-value?
- What is alpha?
- What is critical value?
- What is statistical significance?
- What is a statistic?
- What is a statistic test?
- What is z-test and t-test?
- Process of hypothesis test design
- Analysis of variance (ANOVA)
- Chi-squared test
- What is causation?
- Causation vs Correlation
- What is conditional probability?
- Bayes’ theorem
- Binomial distribution and its applications
- Various sampling methods
- What is a statistic model?
- What is statistical inference?