Description
Statistics for Data Science and Business Analytics, the name of the training video series in the field of data and its analysis, and in the branches, science, business and work. In fact, you watch this course, learn how to do the exact same thing in the analysis of your case. What you have in this course, and you only have data and statistics. You can see that this course can become business and data for an analyst, marketer, etc. In this course, you will learn the most basic concepts and skills to enter the field of work and become a professional person in the field of science, data and analytics business.
On the other hand this course is designed in such a way that all functional requirements can be met in it. There are lots of exercises and resources, all of which are available to you, which help you understand much better than getting training. Also, all the templates used in this period have been taken as Excel files for convenience. You have to see this course for any requirement etc. There is no need, and all the topics are given step by step from the basic level to teach you.
Cases in which the course is taught:
- Understand and learn fundamental concepts and basic statistics
- Learn how to work professionally with different types of data, step by step,
- Learning and understanding the differences and working with different distributors
- Introduction to Estimation Confidence Intervals and Hypothesis Testing
- How to make decisions based on analysis of data
- Learn to use and understand variable dummy
- And…
Specifications Volume Statistics for Data Science and Business Analytics:
- language English
- Time : 04:51:43
- Number of courses: 92
- Training Level: Introductory to Advanced
- Instructors: 365 Careers, 365 Careers Team
- File format: mp4
This course is Statistics for Data Science and Business Analytics
course content
92 Lecture 04:51:43
Introduction
Lecture 2 04:10
Sample or population data?
1 Lecture 04:02
Fundamentals of Strategy Statistics
Lecture 10 23:28
Measures of central tendency, skewness and variability
Lecture 12 24:31
Practical example: Statistics strategy
2 Lecture 16:18
Distribution
Lecture 7 18:46
Estimators and estimation
9 Lecture 31:23
Confidence Intervals: Advanced Topics
7 Lecture 16:08
Practical example: inferential statistics
2 Lecture 10:08
Hypothesis Testing: Introduction
4 Lecture 18:26
Hypothesis Testing: Let’s start testing!
Lecture 11 29:57
Practical Example: Hypothesis Testing
Lecture 2 07:19
Basic Principles of Regression Analysis
Lecture 6 19:57
Subtleties of regression analysis
Lecture 8 26:41
Assumptions for Linear Regression Analysis
6 Lecture 20:47
Dealing with categorical data
1 Lecture 05:03
Practical Example: Regression Analysis
1 Lecture 14:09
Bonus Lectures
1 Lecture 00:26
Essential Courses for Data Science and Business Analytics Statistics
- Absolutely no experience is required. We will start with the basics and gradually build your knowledge. Everything is in the course.
- Willingness to learn and practice
Images
Sample Film
installation Guide
Your custom view after extract with the player.
Subtitles: English
Quality: 720p
Change:
Version 2020/3 has increased in size by about 30 MB compared to 2019/5. There is no change in courses and timings.
Reduce time by about 1 minute compared to version 2020/6 and 2020/3.
download link
Download Udemy – Statistics for Data Science and Business Analytics 2020-6 Sub Only
Password File(s): free download software
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file size
2.65 GB