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

Description

Statistics for Data Science and Business Analysis is the name of a set of video tutorials in the field of data and its analysis in the field of business sciences. In fact, by watching this course, you will learn how to analyze accurate work statistics. What you are dealing with in this course is just data and statistics. You can become a marketer, business and data analyst by watching this course. In this course, you will learn the most basic concepts and skills to enter the field of work and become a professional in the field of data science and business analysis.

On the other hand, this course is designed in such a way that all trainings are practical. Having a lot of practice and resources all at your disposal will give you a much better understanding of the training. Also, all the templates that have been used in this course have been provided to you in the form of an Excel file for your convenience. You will not need any prerequisites to watch this course, and all topics will be taught to you step by step from the basic level.

Items that will be taught in this course

Understand and learn the basic concepts of statistics

Learn how to work with data types professionally in a step-by-step manner

Learn and understand the differences and work with different types of distributors

Familiarity with estimating the confidence interval and performing hypothesis testing

How to make decisions based on data analysis

Learn how to use and understand fictitious variables

Statistics course specifications for Data Science and Business Analysis

English language

Duration: 04:51:43

Number of courses: 92

Level of training: basic to advanced

Instructor: 365 Careers, 365 Careers Team

File format: mp4

Course Titles Statistics for Data Science and Business Analysis

Course content 92 lectures 04:51:43

Introduction 2 lectures 04:10

Sample or population data? 1 lecture 04:02

The fundamentals of descriptive statistics 10 lectures 23:28

Measures of central tendency, asymmetry, and variability 12 lectures 24:31

Practical example: descriptive statistics 2 lectures 16:18

Distributions 7 lectures 18:46

Estimators and estimates 9 lectures 31:23

Confidence intervals: advanced topics 7 lectures 16:08

Practical example: inferential statistics 2 lectures 10:08

Hypothesis testing: Introduction 4 lectures 18:26

Hypothesis testing: Let’s start testing! 11 lectures 29:57

Practical example: hypothesis testing 2 lectures 07:19

The fundamentals of regression analysis 6 lectures 19:57

Subtleties of regression analysis 8 lectures 26:41

Assumptions for linear regression analysis 6 lectures 20:47

Dealing with categorical data 1 lecture 05:03

Practical example: regression analysis 1 lecture 14:09

Bonus lecture 1 lecture 00:26

Prerequisites for Statistics for Data Science and Business Analysis

Absolutely no experience is required. We will start from the basics and gradually build up your knowledge. Everything is in the course.

A willingness to learn and practice

Installation

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p

Changes:

The 2020/3 version has increased in size by about 30 MB compared to the 2019/5. There have been no changes in lessons and time.

The 2020/6 version is about 1 minute shorter than the 2020/3.