Udemy – Statistics & Mathematics in Data Science & Data Analytics 2022-3 – Download

Explanation

Good news, you don’t need a Maths degree – this course equips you with the practical knowledge needed to master the necessary statistics. It is very important if you want to become a Data Scientist or Data Analyst to have a good knowledge of Statistics & Probability Theory. Of course, there is more to Data Science than just statistics. But it still plays an essential role to know these basic statistical points.

I know it is very difficult to have a firm footing in these thoughts yourself. So I made this course. This course gives you an opportunity to systematically study the basic concepts of statistics & probability, descriptive statistics, hypothesis testing, regression analysis, analysis of variance and some regression methods/ machine learning such as logistic regression, polynomial regression, decision trees and more. With real-life examples you will quickly learn the statistical knowledge required for a data scientist or data analysis career. If you feel that this is a good fit for you, then take this opportunity to improve your skills and improve your career by enrolling in this course.

What will you learn?

  • Learn the basics of statistical data science & data analysis

  • Master’s descriptive statistics & probability theory

  • Machine learning methods such as Decision Trees and Decision Forests

  • Probability distribution like normal distribution, Poisson distribution and many more

  • Hypothesis testing, p-value, type I & type II error

  • Logistic Regression, Multiple Linear Regression, Regression Trees

  • Correlation, R-square, RMSE, MAE, correlation coefficient and more

Who is this course for?

  • Anyone who wants to master statistics & probability in data science & data analysis
  • Anyone who wants to pursue a career in Data Science
  • Professionals and students who want to understand the statistics necessary for data analysis.

Specialization in Statistics & Mathematics in Data Science & Data Analytics

  • Publisher: Udemy
  • Teacher: Nikolay Schuler
  • Language : English
  • Level: Beginner
  • Number of courses: 91
  • Duration : 11 hours and 24 minutes

Statistical & Mathematical Content of Data Science & Data Analysis

Statistics & Mathematics in Data Science & Data Analytics

Requirements

  • Virtually no prior experience is required. I will learn everything right from the basics and then work step by step

  • Commitment and motivation to learn

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Statistics & Mathematics in Data Science & Data Analysis

Sample Clip

Installation Guide

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Subtitle : English

Quality: 720p

Download Links

Download Part 1 – 2 GB

Download Part 2 – 2 GB

Download Part 3 – 518 MB

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file size

4.5GB

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