packtpublishing/-deep-dive-into-statistical-modeling-with-r

Deep Dive into Statistical Modeling with R [Video] by Packt Publishing

Deep Dive into Statistical Modeling with R [Video]

This is the code repository for Deep Dive into Statistical Modeling with R [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.

About the Video Course

R is a data analysis tool, graphical environment, and programming language. Without any prior experience in programming or statistical software, this video tutorial will help you quickly become a knowledgeable user of R. Now is the time to take control of your data and start producing superior statistical analysis with R.

In this video tutorial, you will start with a quick refresher on programming in R. You will learn to set up your R development environment, as well as work on a few simple R programs. After that you will dive right into working with different types of data structures in R, such as vectors, lists, matrices, etc. You will explore how to import and export data for your data analysis project, and also connect to databases such as PostgreSQL. From there, you will look into probabilities, distributions, and random numbers. Here you will explore discrete distributions, continuous distributions, and random number generation. Finally, you will learn to statistically model your data, and also about hypothesis testing. You will dive into descriptive statistics and graphs, parametric and non-parametric statistical methods, correlation and regression analysis, and time-series analysis.

By the end of this video course, you will be well versed with working with different types of data and modelling your data for your statistical analysis projects with the help of R.

The code bundle for this video course is available at - https://github.com/PacktPublishing/-Deep-Dive-into-Statistical-Modeling-with-R

What You Will Learn

• Import Bootstrap-Vue into your new and existing web applications
• See workings of the Bootstrap-Vue layout and grid system
• Design responsive mobile-first web pages
• Use Bootstrap V4 CSS for styling and animations
• Use tables, tabs, and spacing classes to enrich your web application front-end

Instructions and Navigation

Assumed Knowledge

To fully benefit from the coverage included in this course, you will need:
This course is designed for data analysts, business analysts, business intelligent specialists, statisticians, econometricians and for everyone interested in data analysis and data science with the R Programming Language.

Technical Requirements

This course has the following software requirements:

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