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Writer's pictureDanielle Costa Nakano

Step one ... remembering the math

Updated: Dec 14

Dec 2018 - Feb 2019


I started with Practical Statistics for Data Scientists. This was a great way to think about the math, visualize it and get introduced to Python/R.


  • Start with the definition of a mean and terminology like data frame, feature and outcomes.

  • Move through statistics concepts like boxplots, scatterplots, central limit theorem, binomial distribution and significance testing including P-values.

  • There's an entire chapter dedicated to Machine Learning algorithms like K-Nearest Neighbors, Bagging and Random Forests, Boosting and more.

  • Pro tip: Focus on visualizing.


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