I recently created a series of 6 data science courses to provide an overview of data science, statistics and machine learning. These courses are free to anyone who wants to learn something new. I will also share some other tutorials on recommendation engine , data analysis for business intelligence, exploratory data analysis, R tips and tricks , how to work with big O notation , survival analysis in R & SPSS , churn analysis using Excel .

## What you’ll learn in Statistics for Data Science and Business Analysis

1. Knowing the basics of statistics is essential.
2. Learn how to deal with a variety of data sources.
3. What is the best way to graph various types of data?
4. Calculate the asymmetry, variability, and central tendency measures.
5. Correlation and covariance should be calculated.
6. Different types of distributions should be distinguished and worked with.
7. Calculate the intervals of confidence
9. Decide based on data.
10. Recognize how regression analysis works.
11. Complete a regression analysis.
12. Dummy variables can be helpful if you know how to use them.
13. Even with Python and R, you can grasp the fundamentals of data science!
• We will start from the beginning and gradually build up your knowledge; everything will be covered in the course.
• an eagerness to learn and put what you’ve learned into practice

## Description

Do you want to be a Marketing Analyst, a Business Intelligence Analyst, a Data Analyst, or a Data Scientist? Is statistics a driving force in the industry you want to work in?
You’ve come to the right place if that’s what you’re looking for.

This is the place to begin, and it’s a great place to start!
We’ve created a course that will teach you the fundamental skills you’ll need to understand complex statistical analysis and apply it to real-world situations in no time.
Many of these topics have been explained thousands of times online, but finding a structured program that explains why certain statistical tests are used so frequently is nearly impossible. Modern software packages and programming languages automate most of these activities, but this course gives you something more valuable – critical thinking skills.

We worked hard for over four months to create the best possible Statistics course that would deliver the most value to you; we want you to succeed, so the course aims to be as engaging as possible. High-quality animations, excellent course materials, quiz questions, handouts and course notes, as well as a glossary with all new terms you will learn, are just some of the perks you will receive by subscribing.

## Who this course is for:

• People who want a career in Data Science
• People who want a career in Business Intelligence