How to learn statistics for Data Science?

Question

What are the important statistical concepts required for data science?

Answer 1

Statistics is an important prerequisite for Data science. Data scientists use statistical knowledge to analyze and interpret the data and make inferences.

• Learn these concepts in the same order to learn statistics for Data Science:
• Measures of central tendency like mean, median, mode
• Measures of variance like range, IQR, Standard deviation
• Probability Distributions like Uniform, Normal, Poison distributions
• Hypothesis testing like Z-test, T-test, Chi-Square Test
• Dimensionality reductions
• Sampling techniques
• Bayesian Statistics

These statistical concepts are important to learn for a data science. A lot of free online resources are available for these concepts.

You can watch this video to know how statistics are used in data science: