Udemy – Statistical Thinking and Data Science with R. 2023-8 – Downloadly

Descriptions

Statistical Thinking and Data Science with R It’s been six years since I switched from Excel to R and since then I’ve never looked back! With 11 years of working in procurement, lecturing at universities, training over 2000 professionals in supply chain and data science using R and Python and finally opening my own business in consulting for two years now. I’m so excited to share this course with you. My goal is for you all to become experts in R, statistical thinking and machine learning. I’ve compiled all the techniques I’ve learned and practiced into this sweet package of Data Science with R. Statistics and probability 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; a strong statistical background is the foundational skill you need. Although learning R is not the main focus of this course, we will learn R implicitly by diving deep into statistical concepts. The key benefit of this course is not learning algorithms and machine learning, but rather developing our critical thinking and understanding what the outputs of these models represent. The course is designed to take you on a step-by-step journey through R and statistics. It is packed with templates, exercises, quizzes, and resources to help you understand the core R language and the statistical concepts you need for data science and business analytics

What you will learn

  • Use statistics to make business decisions.
  • Learn R from scratch and become excellent at it!
  • Basics of probability.
  • Continuous and discrete distribution properties.
  • How to adjust distributions.
  • How to create business simulations.
  • Hypothesis testing for various business problems.
  • Understanding and inferring regression models.
  • Measuring the relative risk, reward and odds ratio of decisions.
  • Make data-driven decisions
  • Cleaning, editing and visualizing data.
  • Feature selection and regularized regression models.
  • Binomial and multinomial logistic regression models are magic!

Who is this course suitable for?

  • Business leaders
  • Economic analysts
  • Pursuing a career in data science
  • Understanding the basics of statistics
  • Learn R
  • Learn about data manipulation.
  • Learn statistics.

Specifying statistical thinking and data science with R.

  • Publisher : Udemy
  • Teacher: Haytham Omar-Ph.D
  • Language: English
  • Level: All levels
  • Number of courses: 243
  • Duration: 26 hours and 58 minutes

Contents of statistical thinking and data science with R.

Statistical thinking and data science with R.

Requirements

  • Motivation to learn R.
  • Boost your skills to advance your career.
  • Moaners about numbers and analyses.

Pictures

Statistical thinking and data science with R.

Sample clip

installation Guide

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Subtitles: English

Quality: 720p

Download links

Download Part 1 – 3 GB

Download Part 2 – 3 GB

Download Part 3 – 3 GB

Download Part 4 – 3 GB

Download Part 5 – 735 MB

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File size

12.71GB

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