Free download and Learn Statistics & Mathematics for Data Science & Data Analytics Udemy course with Torrent and google drive download link
Learn the statistics & probability for data science and business analysis
Course Table of Contents
Statistics & Mathematics for Data Science & Data Analytics Description
Are you aiming for a career in Data Science or Data Analytics?
Good news, you don’t need a Maths degree – this course is equipping you with the practical knowledge needed to master the necessary statistics.
It is very important if you want to become a Data Scientist or a Data Analyst to have a good knowledge in statistics & probability theory.
Sure, there is more to Data Science than only statistics. But still it plays an essential role to know these fundamentals ins statistics.
I know it is very hard to gain a strong foothold in these concepts just by yourself. Therefore I have created this course.
Why should you take this course?

This course is the one course you take in statistic that is equipping you with the actual knowledge you need in statistics if you work with data

This course is taught by an actual mathematician that is in the same time also working as a data scientist.

This course is balancing both: theory & practical reallife example.

After completing this course you ll have everything you need to master the fundamentals in statistics & probability need in data science or data analysis.
What is in this course?
This course is giving you the chance to systematically master the core concepts in statistics & probability, descriptive statistics, hypothesis testing, regression analysis, analysis of variance and some advance regression / machine learning methods such as logistics regressions, polynomial regressions , decision trees and more.
In reallife examples you will learn the stats knowledge needed in a data scientist’s or data analyst’s career very quickly.
If you feel like this sounds good to you, then take this chance to improve your skills und advance career by enrolling in this course.
What you’ll learn in Statistics & Mathematics for Data Science & Data Analytics

Master the fundamentals of statistics for data science & data analytics

Master descriptive statistics & probability theory

Machine learning methods like Decision Trees and Decision Forests

Probability distributions such as Normal distribution, Poisson Distribution and more

Hypothesis testing, pvalue, type I & type II error

Logistic Regressions, Multiple Linear Regression, Regression Trees

Correlation, RSquare, RMSE, MAE, coefficient of determination and more