Description

R Data Analysis Solution – Analyzing Time-Series and Social Media Data, and More

R Data Analysis Solution – Analyzing Time-Series and Social Media Data, and More
MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 623 MB Genre: eLearning | Language: English
Data analysis has recently emerged as a very important focus for a huge range of organizations and businesses.

R makes detailed data analysis easier, by making advanced data exploration and insight accessible to anyone interested in learning it.

This course’s hands-on approach will help you perform data analysis. You will learn to perform social network analysis, to uncover hidden insights and trends from data.

Later you will perform geospatial analysis to bring data into action with the easy-to-follow examples featured in the video course.

How this course will help you

By the end of this course, you will mastered quickly

adapting the example code for your own needs, thus saving yourself the time-consuming task of constructing code from scratch.

In this course, you will learn how to use R to analyze time-series and social media data.

You will also explore many of the key elements of R in depth with numerous

examples that highlight key concepts and techniques to equip you with an essential foundational knowledge base.

R Data Analysis Solution is a short course that takes you step by step through the basics of data analysis with R.

How this course will help you

R is a free software environment for statistical computing and graphics.

It is a popular programming language in statistics for building models, analyzing data, and drawing graphs.

This course presents the basics of R and its application to time-series data analysis and social media analysis through a series of video lectures by an instructor from Princeton University.

A data analysis solution using R, the popular open-source programming language for statistical computing and graphics.

This course provides a solid foundation in R programming and is ideal for people who want to start analyzing their own data or want to improve their existing skillset.

This course introduces data analysis with R, a free and powerful alternative to traditional statistical software tools.

How this course will help you

After examining R’s basic syntax, we’ll discuss data types, data visualization options and time-series analysis.

We’ll then move on to coverage of social media analysis, regression analysis and machine learning techniques including random forests, neural networks and decision trees.

Finally we’ll look at how you can integrate R into your organization

R is a fast, powerful and flexible language that allows researchers to do data analysis in almost any area of study.

This course is specifically designed to help you begin exploring and visualizing your own data with R. It starts by showing you how to import data into

R and then moves on to cover a series of important themes such as exploratory graphs, calculating summary statistics,

testing hypotheses and regression analysis, before ending with an essential guide on how to create publication-quality charts.

By the end of this course, you’ll have built up enough knowledge about working with R that you will be able to use it throughout your research career.