Statistical Thinking and Data Science with R.
What you'll learn
- How To use statistics to Make Business decisions.
- Learn R from Scratch and Become Excellent in it!
- Fundamentals of Probability.
- Continuous and Discrete Distributions Properties.
- How to fit distributiions.
- How to make Business simulations.
- Hypothesis Testing for different business problems.
- Regression models understanding and inference.
- Measuring the relative risk, odds and odds ratio of choices.
- Making data driven decisions
- Cleaning, manipulation and Visualization of data.
- Feature selection and regularized regression models.
- Binomial and multinomial logistic regression models magic!
- How to detect and remove outliers.
- Measures of spread and centrality.
- The use of Bayesian analysis to estimate distributions.
Requirements
- Motivation to learn R.
- Boost your skills to advance your career.
- Nag for numbers and analytics.
Description
not only you learn R in this course, but you also learn how to use statistics and machine learning to make decisions!!!
It's been six years since I moved from Excel to R and since then I have never looked back! With eleven years between working in Procurement, lecturing in universities, training over 2000 professionals in supply chain and data science with R and python, and finally opening my own business in consulting for two years now. I am extremely excited to share with you this course. My goal is that all of you become experts in R, statistical thinking, and Machine learning. I have put all the techniques I have learned and practiced in this one sweet bundle of data science with R.
By the end of this course you will be able to :
Learn R from scratch.
What are probabilities? random experiments, random variables, and sample space?
How can we detect the outliers in data?.
How can we make our resources efficient using statistics and data?
How can we test a hypothesis that a supplier is providing better products than another supplier?
How can we test the hypothesis that a marketing campaign is significantly better than another marketing campaign?
What is the effect of the last promotion on the increase in sales?
How can we make simulations to understand what is the expected revenue coming from a business?
how can we build machine learning models for classification and regression using statistics?
what are the log odds, odds ratio, and probabilities produced from logistic regression models?
What is the right visualization for categorical and continuous data?
How to Capture uncertainty with Distributions? What is the right distribution that fits the data best?
Apply machine learning to solve problems.
Do you face one of these questions regularly? well then, this course will serve as a guide for you.
Statistics & Probabilities are the driving force for many of the business decisions we make every day. if you are working in finance, marketing, supply chain, product development, or data science; having a strong statistical background is the go-to skill you need.
Although learning R is not the main focus of this course, but we will implicitly learn R by diving deep into statistical concepts. The Crucial advantage of this course is not learning algorithms and machine learning but rather developing our critical thinking and understanding what the outcomes of these models represent.
The course is designed to take you to step by step in a journey of R and statistics, It is packed with templates, Exercises, quizzes, and resources that will help you understand the core R language and statistical concepts that you need for Data Science and business analytics. The course is :
· Practical
· Highly analytical
· Packed with quizzes and assignments.
· Excel tutorials included.
· R scripts and tutorials
· Easy to understand and follow.
· Learn by Doing, no boring lectures.
· Comprehensive
· Data-driven
· Introduces you to the statistical R language.
· Teaches you about different data visualizations of ggplot.
· Teaches you How to clean, transform, and manipulate data.
Looking forward to seeing you inside :)
Haytham
Who this course is for:
- Business Executives
- Business analysts
- Aiming at a career in data science
- understanding the fundamentals of Statistics
- Learning R
- Learning about data manipulation.
- Learning statistics.
Instructor
![Haytham Omar](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.4 Instructor Rating
- 1,201 Reviews
- 46,089 Students
- 13 Courses
"Never follow a book by its cover, In a world that changes every second, we must be resilient and proactive. " Consultant / Developer /Trainer
Consultant in Supply Chain Management & Business Intelligence
Founder - Rescale Analytics – Dubai
• PhD student at the University of Bordeaux.
• Supply chain and data science consultant for several national and multinational clients in the UAE and France.
• Data Scientist, Master of Science in Global Supply Chain Management from Bordeaux Ecole de Management, Bordeaux, France
He is currently conducting workshops and seminars in Supply chain and data science as well as consultancy projects for Sephora, Sharaf group and aster pharmacy.
• Haytham conducted more than 70 workshops in UAE in the last three years in supply chain and data science.
Clients :
Sharaf Group
Aster Group
Sephora France
DNO
Qarar for financial analytics
Lamprell
Noble Prog
PWC training Academy
Higher College of Technology
Partners: Edusphere dubai- Limar Tech Saudi arabia – sl-tech Abu Dhabi
Projects :AHQ-SHARAF GROUP:
developing an algorithm for the replenishment of stocks to Sharaf group -adventure HQ . the algorithm is being used since November 2019 with notable results.
Developing and deploying an algorithm for revenue maximization based on elasticity techniques for adventure zones service provided by AHQ.
Projects: Sephora – France
Haytham is working with Kedge business school as part of the team CSIT for partnership
The collaboration of Omni-channel optimization with Sephora France. As a part of his Ph.D. project.
Development: Haytham developed the Inventorize package in R mainly used for supply chain analytics with more than 12000 Downloads so far.