🤯 Say goodbye to lifeless textbooks and hello to an exciting way to learn statistics! 💪
I have a masters degree in statistics, but these 11 books taught me more about how statistics in the real world than any course I've taken.
Have you read any of them?👇🏽🧵
#66DaysOfData
📚🧠Who says learning statistics has to be boring?!
🤓 The Manga Guide to Statistics makes it fun and easy to learn all the basic concepts, with entertaining examples and applications.
Get it here:nostarch.com/mg_statistics.…
Learn to calculate regression equations and perform hypothesis tests with The Manga Guide to Regression Analysis.
You also learn: simple, multiple, and logistic regression to predict iced tea orders and bakery revenues, and calculate confidence intervals and odds ratios.
🧐 Introduces you to the tools of data analysis like graphs, charts, and tables, and exploring how to use samples to answer questions.
💡 Plus, the author covers common data collection problems like selection bias and measurement error and how to deal with them effectively.
Naked statistics is a classic and bound to be on any and every list of statistics books.
It's a great read with a number of real world case studies.
IMO, not as good as The Art of Statistics.
Get a FREE pdf here: penguinrandomhouse.ca/books/404461/n…
📈🔮Why are so many predictions wrong?
🤔The Signal And The Noise breaks it down: sometimes we get overwhelmed by masses of data and forget to be cautious and diligent in finding the important signals.
Get a FREE pdf here: forecastwatch.com/wp-content/upl…
🧐💡How to Measure Anything teaches you how to make smart decisions using applied logic and behavioral economics.
🤯 Discover how misframing what needs to be measured and misperception of measurement elements can lead to mismeasurement and perceptions of the immeasurable.
You won't believe the history behind Bayes' rule: discoverd in 1740s by amateur mathematician to solving WWII codebreaking and now used in DNA decoding and Homeland Security.
🔍💻 The Theory That Would Not Die explores the controversy and obsessions surrounding this theorem. 🔥
How Not To Be Wrong will help you make better decisions, navigate life effortlessly, and assess risks like a pro.
💪🏽 Here are 3 key lessons to get you started:
1) Math is mostly common sense.
2) Probability ≠ risk.
3) Scientific research findings can be wrong.
🤓
🤔 "The Success Equation" helps untangle the intricate strands of skill and luck in our lives and offers concrete tips on how to use this knowledge to make better decisions.
💪🏽 Don't miss out on this must-read for anyone looking to succeed in business and life.
🎲 "Thinking in Bets" shows you how to objectively evaluate your beliefs, work around biases, and learn from the past.
💪🏽 Every decision is a bet, and this guide will help you navigate the quantifiable risks and come out on top.
💥🤔 Fooled by Randomness uncovers the role of chance in business and investing, and how it influences our actions, decisions, and risk-taking.
🤯 Get a fresh perspective on the role of uncertainty in our world. 🌀
Which of these have you read?
Which do you recommend?
1. Follow me @DataScienceHarp for more of these
2. RT the tweet below & share w/ your friends
3. For SQL follow: @nevrekaraishwa2
4. For Python and ML follow: @SanthoshKumarS_ @GiftOjeabulu_ @Sumanth_077 @Saboo_Shubham_
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