This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization.
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Acerca de este Curso
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Prueba Coursera para negociosHabilidades que obtendrás
- Statistics
- R Programming
- Rstudio
- Exploratory Data Analysis
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Prueba Coursera para negociosOfrecido por
Programa - Qué aprenderás en este curso
About Introduction to Probability and Data
Introduction to Data
Introduction to Data Project
Exploratory Data Analysis and Introduction to Inference
Reseñas
- 5 stars78,27 %
- 4 stars17,41 %
- 3 stars2,43 %
- 2 stars0,65 %
- 1 star1,22 %
Principales reseñas sobre INTRODUCTION TO PROBABILITY AND DATA WITH R
The Statistics course was excellent. The book provided additionally helped a lot. There could have been some instructional videos for R and some samples on how to analyse the visualization.
Great course! Explained the concepts so clear and crisp and the exercises with R are great. The project reinforces all the concepts. All in all, a great course for beginners in statistics and R.
I always wanted to learn statistics from scratch, but I never had a good university teacher. Here I found a good teacher and also the opportunity to learn whenever I want ( and skipping parts I knew!)
A good introductory course to data analysis, statistics and the R programming language. Recommended to people who are new to data analysis and also those who are experienced and could use a refresh.
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