Description
Statistical Thinking and Data Science with R., the statistical thinking and data science training course with R has been published by Udemy Academy. It’s been six years since I switched from Excel to R and I’ve never looked back. With eleven years working in procurement, lecturing at universities, training over 2,000 supply chain and data science professionals with R and python, and eventually starting my own consulting business, I am thrilled that this course to share with you. My goal is for you all to become experts in R, statistical thinking, and machine learning. I’ve put all the techniques I’ve learned and practiced into this sweet collection of data science with R.
Statistics and probabilities are the driving force behind many of the business decisions we make every day. If you work in finance, marketing, supply chain, product development or data science. Having a strong statistical background is a skill you need. Although learning R is not the main focus of this course, we will implicitly learn R by delving deeply into statistical concepts. The important advantage of this course is not learning algorithms and machine learning, but developing critical thinking and understanding the results of these models. This course is designed to take you through a step-by-step journey through R and statistics. This course is packed with examples, exercises, quizzes, and resources to help you understand the core R language and statistical concepts you need for data science and business.
What you will learn
- Use statistics to make business decisions.
- Learn R from scratch and become great at it!
- Basics of probability.
- Characteristics of continuous and discrete distribution.
- How to fit distributions
- How to build business simulations
- Hypothesis testing for various business problems.
- Understanding regression and model inference
- Measuring the relative risk, chance and odds ratio of choices.
- Make data-driven decisions
- Data cleaning, manipulation and visualization.
- Feature selection and regular regression models.
- Binomial and polynomial logistic regression models
- How to identify and remove outliers
Who is this course suitable for?
- Business managers
- Business analysts
- Aiming for a career in data science
- Understanding the basics of statistics
- Learning R
Specifications of Statistical Thinking and Data Science with R course.
- Publisher: Udemy
- teacher : Haytham Omar-Ph.D
- English language
- Education level: all levels
- Number of courses: 243
- Training duration: 26 hours and 58 minutes
Chapters of Statistical Thinking and Data Science with R.
Course prerequisites
- Motivation to learn R.
- Boost your skills to advance your career.
- Nag for numbers and analytics.
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
12.71 GB
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