First, understand which concepts of Statistics to learn for Data Science. I recommend to follow this learning path to learn Statistics for Data Science:

- Understand Measures of central tendency like mean, median, mode
- Understand Measures of variance like range, IQR, Standard deviation
- Get familiar with Probability Distributions like Uniform, Normal, Poison distributions
- Hypothesis testing like Z-test, T-test, Chi-Square Test
- Learn about Dimensionality reduction
- Understand about sampling techniques
- Get basic understanding of Bayesian Statistics

After learning all the above topics, I suggest learning R programming since it has good libraries for implementing the above topics.

You can watch this video on Statistics for Data Science to learn Statistics with hands-on projects in R: