Udemy – Statistics for Data Science and Business Analysis 2020-6

The description

Statistics for Data Science and Business Analysis, name of the series of training videos in the field of data and its analysis, and in the branches, sciences, business and work. In fact, you watch this course, learn to find the exact operation of your business case. What you have in this course with him, and you, is just data and statistics. You look at the course can become an analyst, marketer, etc., business and data. In this course, you will learn the most basic concepts and skills to enter the work arena and become a professional person in the field of science, data and analysis.

On the other hand this course is designed to meet all functional requirements. There are lots of exercises and resources, all of which are at your disposal to make you understand much better in relation to training. In addition, all the models he has in this period have been used, for convenience are you, in the form of an Excel file that you have taken. You don’t need to watch this course all the requirements etc. and all the step by step topics from basic level to teach are given to you.

Cases in which the course is taught:

Understand and learn fundamental concepts and basic statistics
Learn how to work with a variety of data professionally, step by step,
Learn and understand the differences and work with a variety of different distributors
Introduction to Estimating Confidence Interval and Performing Hypothesis Testing
How to decide based on data analysis
Learn to use and understand dummy variables
And…

Volume specifications Statistics for Data Science and Business Analysis:

French language
Time: 04:51:43
Number of lessons: 92
Level of training: beginner to advanced
Instructor: 365 Careers, Team 365 Careers
File format: mp4

This course Statistics for Data Science and Business Analytics

Course content
92 lectures 04:51:43

Introduction
2 lessons 04:10

Sample or population data?
1 conference 04:02

The fundamentals of strategic statistics
10 lessons 23:28

Measures of central tendency, skewness and variability
12 lessons 24:31

Practical example: statistics strategy
2 lessons 16:18

Distributions
7 lessons 18:46

Estimators and estimates
9 lessons 31:23

Confidence Intervals: Advanced Topics
7 lessons 16:08

Practical example: inferential statistics
2 lessons 10:08

Hypothesis testing: introduction
4 lessons 18:26

Hypothesis testing: let’s start testing!
11 lessons 29:57

Practical example: hypothesis test
2 lessons 07:19

The basics of regression analysis
6 lessons 19:57

Subtleties of regression analysis
8 lessons 26:41

Assumptions for Linear Regression Analysis
6 lessons 20:47

Process categorical data
1 conference 05:03

Practical example: regression analysis
1 lesson 14:09

Bonus Conference
1 lecture 00:26

Prerequisite Courses Statistics for Data Science and Business Analytics

Absolutely no experience is required. We will start with the basics and gradually build your knowledge. It’s all in the course.
A willingness to learn and practice