Description
Statistics with R Specialization statistical science course using programming language R Is . This language is specifically used to perform statistical calculations and data science, and during this training, you will get to know the types of modeling and statistical calculations with the help of this language. During this tutorial, you will learn how to analyze and visualize data in R so that you can extract reproducible analysis reports from the data. You will also gain a conceptual understanding of the integrated nature of statistical inference and be able to implement frequentist inference and Bayesian inference.
Examining and criticizing statistical claims and evaluating decisions based on data and manipulating and visualizing data using R packages are other topics of this training. Also, effective modeling of natural events to understand them, using simple definitions and sentences instead of advanced statistical terms is also covered in this training. With the help of this course, you can acquire the set of knowledge, skills and tools needed for data analysis projects and the expertise that professionals need in the field of statistical data analysis, from exploratory analysis to inference and modeling.
What do you learn:
- Bayesian statistics
- Linear regression, Bayesian linear regression and regression analysis
- Statistical inference
- Programming with R and working with RStudio
- Exploratory data analysis
- Testing statistical assumptions
- Model selection
- And …
Specifications of Statistics with R Specialization:
- Publisher: Coursera
- Instructor: Mine Çetinkaya-Rundel, David Banks, Colin Rundel, Merlise A Clyde
- English language
- Training level: beginner
- Number: 5 courses
- Duration of the course: with a suggested time of 3 hours per week, approximately 7 months
courses
- Introduction to Probability and Data with R
- Inferential Statistics
- Linear Regression and Modeling
- Bayesian Statistics
- Statistics with R Capstone
prerequisites
- Basic math, no programming experience required. A genuine interest in data analysis is a plus!
- You will need R and RStudio. Both are free and publicly available. You will need administrator access to your computer to install this software.
- In the later courses in the Specialization, we assume knowledge and skills equivalent to those which would have been gained in the prior courses (for example: if you decide to take course four, Bayesian Statistics, without taking the prior three courses we assume you have knowledge of frequentist statistics and R equivalent to what is taught in the first three courses).
Pictures
Sample video
Installation guide
After extracting, watch with your favorite player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
2.68 GB
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