Statistics For Data Science Full Course

Published in

Total Data Science

3 min readSep 8, 2020

In this tutorial of Statistics for Data Science, we will be diving into the various concepts of statistics necessary for you to start your journey as a Data Scientist or Analyst. We will be breaking down these concepts own to its basics so that you will get to understand them without any difficulty.

NOTE: I have also taken into consideration the fact that some of you might not even have a statistics background. So if you do not even have a statistics background, don’t worry, I have you covered. This tutorial comes with several subsequent tutorials so make sure to watch the complete tutorials for a better understanding.

SUBSCRIBE TO RECEIVE MORE FREE PROJECTS AND COURSES LIKE THIS

JOIN TELEGRAM GROUP

Before we start, please note that this tutorial is part of the The Full Stack Data Scientist Bootcamp, which is a practical hands-on data science tutorial for anyone to learn data science right from the basics to advance by building projects and great Data Science Portfolio. Feel free to check it out.

In order for you to make the best out of this tutorial, I have put this tutorial in the form of a video for better understanding

Watch and work along

You can watch the entire Statistics For Data Science lessons from here

ALL PLAYLIST

PLEASE WAIT A SECOND FOR THE VIDEOS BELOW TO LOAD

INTRODUCTION:

PART 1: Statistics Methods

PART 2: Data Types

PART 3: Types Of Statistics | Source Of Data | Population | Parameters |

PART 4: Frequency Distribution

PART 5: Mean | Median | Mode

PART 6: Measure Of Dispersion

PART 7: Five No. Summary | Box Plot | Empirical Rule

PART 9: Correlation

PART 10: Probability

PART 11: Normal Distribution | Empirical Rule

PART 12: Hypothesis Testing

LAB SESSION 1

LAB SESSION 2

LAB SESSION 3

Check out other awesome tutorials here:

Python For Data Science

Heroku-End-To-End Machine Learning Project With Deployment

BIG MART SALES-Data Science Projects

Credit Card Fraud Detection-Data Science Projects

Stock Market Clustering-Data Science Projects

Bank Note Analysis-Using Logistic Regression, RandomForest, KNN, SVM, Multilayer Perceptron

Amazon.com Employee Access Challenge-Machine Learning Projects

Predicting Compressive Strength of Concrete | Featurization | Model Selection | Tuning

GOOD LUCK

If you are interested in learning Data Science, the right way, I advise you to start with this course that focuses on teaching and building end-to-end data science projects.

I will also be posting more FREE Data Science Projects on the Youtube Channel, so don’t forget to subscribe and hit the notification bell to get notified anytime I post them.