Hello Friends ! I know its little confusing for a data science beginner to start with statistics .Actually Statistics is very big area . statistics is also very important because probability and statistics are the basic foundation for data science . As it is big area to learn hence you can not read every thing at once . So you need to priorities . Mostly people stuck in finding the priority here . To help them out this article is a Complete Road Map to Learn Statistics for Data Science .

This article will lead you in finding the essential part in statistics . If you go through these topics most probably , you will not stuck anywhere in data science .To make your life easy we have also mentioned the best and relevant study materials with topics . Although when we talk about statistics , we can not ignore probability . So we have already created an article for –

Complete Road Map to Learn Probability for Data Science

this will give an complete overview of probability essential in data science .

## Essential topics to Learn Statistics for Data Science-

Here are some topics where you should first focus . In fact these are statistics essential for data science . Lets go through them –

- Descriptive Statistics and its Fundamental.
- Central Tendency and measuring methods.
- Distributions ( Normal Distribution is must )
- Estimators and Estimate
- Confidence Interval
- Regression and its type .
- Hypothesis Testing .

## How to start learning Statistics for Data Science-

Here you have to follow the same steps as we have done in learning probability for data science . Actually its a good way to learn anything when the things are too large like statistics and probability.

### Step 1 :

As I have advised in the probability learning road map . In the same way, You have to start with the basics. Trust me people ignore it because they found most of the part they already know . Actually in our school Statistical comes as default syllabus. In order to be handy on advanced statistics, you need to understand the basics first.

To achieve this , either you can go through with academic book again or you may try some basic udemy video course .

### Step 2 :

At this level I always advice to take some video courses .Actually they will give you complete walk through of it . All you need to complete the assignment with them . It really help to understand the concept completely .Here I am list very interesting and informative video courses . You may go through them .

### 1.Statistics for the Data Science and Business Analysis-

You will get the similar course as we have in our road map to Learn Statistics for Data Science . I love this video tutorial because it covers everything which we require .Apart from it if we talk about the complete flow of the course its Awesome .

### 2. Statistics for Business Analytics –

This course also fulfill what we require at this stage . The best part is , this course is specially design for business analytics .

### Step 3 :

At this stage , You should first choose a good book . Now I will recommend you to read only those areas on which you are going to currently working . As you already created the good background in second stage . Hence you need to dig only those area which are align to your work area . Here is the book which I think you should prefer for Statistics for Data Science .

### 1. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

### 2. Think Stats

Both books are awesome to read statistics for data science in detail. All topics are smoothly explained.

## Conclusion –

This article gives you a direction for efficiently learning statistics for data science. You know, its a proven method for learning anything faster . These three step will make your life easy in dealing with Statistics for Data Science. Anyways Its time to ask you ! How did you find the flow of any article ?

Please comment your thoughts on the flow for learning Statistics for Data Science . If you think , you can suggest some better way of learning Statistics for Data Science . You are most welcome . You may contact us .

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**Thank You **

**Data Science Learner Team .**