Use the covariance matrix plot to select relevant features to use for model building

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  1. Prevents Overfitting: A high-dimensional dataset having too many features…


Understand the differences between model parameters and hyperparameters, and how to fine-tune these parameters

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  1. Model Parameters: These are the parameters in the model that must be determined using the training data set. These are the fitted parameters.
  2. Hyperparameters: These are adjustable parameters that must be tuned in order to obtain a model with optimal performance.


10 Essential Skills You Need to Know to Start Doing Data Science

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1. Mathematics and Statistics Skills

(I) Statistics and Probability


Check your understanding of basic data science concepts by solving these 4 problems

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Master these essential skills in 3 months to launch your data science career

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1. Mathematics and Statistics Skills


As the field of data science is constantly evolving, cultivating a growth mindset is crucial

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  • Essential Data Science Soft Skills — Growth Mindset
  • Essential Data Science Soft Skills — Team Player Skills
  • Essential Data Science Soft Skills — Communication Skills
  • Essential Data Science Soft Skills — Patience

Growth Mindset in Data Science


Anyone with an analytical background can learn data science by self-study

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Mathematics remains a major hindrance for beginners trying to get into data science

Probability distribution of male and female heights. Image by Benjamin O. Tayo


A portfolio with year to date return of 54.95% outperforming the S&P 500 with year to date return of 19.77%

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Most massive open online courses in data science are not rigorous enough and have high risk of providing blackbox knowledge only

Most machine learning algorithms perform calculations at the back end. Image by Benjamin O. Tayo

Benjamin Obi Tayo Ph.D.

Physicist, Data Science Educator, Writer. Interests: Data Science, Machine Learning, AI, Python & R, Personal Finance Analytics, Materials Sciences, Biophysics

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