Statistics Cheat Sheets to Get Before Your Job Interview

Statistics Cheat Sheets to Get Before Your Job Interview
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Have you ever been in a situation where you have a technical interview for a data position and only a few hours to prepare for it? It has happened to me multiple times, and it is quite common among professionals. Even if you are an expert data scientist or statistician, you can’t remember all the concepts, formulas, and tools. 

In this blog post, I will share a list of five cheat sheets that will help you revise all the key concepts in probability and statistics. These cheat sheets are for students, statisticians, data analysts, data scientists, business analysts, machine learning engineers, and database managers.

1. Descriptive Statistics Cheat Sheet by DataCamp

This cheat sheet covers the most common techniques used in descriptive analytics. It starts with the definition of variables, descriptive statistics, categorical data, and numerical data. Then, it dives into counts and proportions, visualization of categorical and numeric variables, measures of center, measures of spread, and correlation. 

It is a good starting point for your interview preparation as it takes 2 minutes to review all the concepts. 

Link to cheat sheet

2. Probability and Statistics Cheat Sheet by Stanford

It is a VIP cheat sheet for Probability and Statistics concepts with mathematical formulas. 

The probability cheat sheet covers an introduction to probability and combinatorics, conditional probability, random variables, and jointly distributed random variables. 

The statistics cheat sheet covers parameter estimation, confidence intervals, hypothesis testing,  regression analysis, and correlation analysis. 

Note: If the PDF is not rendering on GitHub, try downloading and opening it locally.

Link to cheat sheet

3. Statistics Cheat Sheet by MIT

It is a simple cheat sheet that defines each statistical concept with mathematical formulas. 

The cheat sheet covers basic statistical terms like mean, median, and variance and then dives deep into t-tests, chi-squared tests, error types, probability, and distribution. It is a comprehensive cheat sheet that will help you cover all the necessary concepts for the interview. 

Link to cheat sheet

4. The Most Comprehensive Stats Cheat Sheet by Terence Shin

It provides a comprehensive overview of the fundamentals of statistics in easy to read manner. You can review all of the key concept in 3 minutes. 

The cheat sheet covers data types, measures of central tendency, measurements of relationships between variables, distribution functions, probability, accuracy metrics, and hypothesis testing and statistical significance. 

Link to cheat sheet

5. Statistics Cheat Sheet for Data Science Interviews by Strata Scratch

This is a different type of cheat sheet. It is made to prepare you for technical interview sessions. It covers each topic in detail with graphs and mathematical formulas. The most unique feature of this cheat sheet is that it comes with examples. 

The cheat sheet covers mean, median, outliers, interquartile range, sampling, normal distribution, confidence interval, hypothesis testing, z statistic vs. t statistic, a/b testing, fisher’s exact test, pearson’s chi-squared test, student’s t-test, welch’s test, mann-whitney u test, cosine similarity, correlation, linear regression, analysis of variance, central limit theorem, probability rules, the four probability rules, and the bayes theorem.

Link to cheat sheet

Final Thoughts

Even if you are against cheat sheets, you will appreciate the effort put into these resources to make complex concept easy to digest. Cheat sheets are useful for interview preparation, learning complex statistical concepts, and understanding statical formulas. 

In this blog, we have covered the list of 5 essential cheat sheets on statistics and the probability for you to prepare any technical interview related to the data field. 

If you like the list type of content, let us know so that we can share tons of resources on statistics and probability with our community.

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