Learn Statistics for Data Science Quickly

Statistics transforms raw data into insights. Master these fundamentals to make data-driven decisions effectively.

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Statistics is the heart and soul of data science. Tools in statistics will allow a data scientist to analyze, interpret, and make sense of data. Here’s an essential guide to statistical concepts in a nutshell:

1. Descriptive Statistics

Summarize data using the following:
Mean, Median, Mode: Central tendencies.
Standard Deviation, Variance: Data spread.

2. Basic Probability

Inference foundation
Distributions: Normal, Binomial, Poisson.
Conditional Probability: The likelihood of some event given another event.

3. Inferential Statistics

Drawing Conclusions From Samples
Hypothesis Testing: Null vs. alternative.
Confidence Intervals: Likely range of parameter.

4. Regression Analysis

Describing the relationships between models: