Data Analytics with R Training Class | Webucator Programming Classes

Overview

R is a very popular, open source environment for statistical computing, data analytics and graphics. This Data Analytics with R Training class introduces R programming language to students. It covers language fundamentals, libraries, and advanced concepts and advanced data analytics and graphing with real world data.

Goals

Learn the language basic of R.
Work with loops and conditionals.
Work with built-in datasets.
Work with visualization.
Work with statstical modeling with R.
Work with clustering and classification.
Learn about R and big data.

Outline

Day One: Language Basics
1. Course Introduction
2. About Data Science
  1. Data Science Definition
  2. Process of Doing Data Science
3. Introducing R Language
4. Variables and Types
5. Control Structures (Loops / Conditionals)
6. R Scalars, Vectors, and Matrices
  1. Defining R Vectors
  2. Matricies
7. String and Text Manipulation
  1. Character Data Type
  2. File IO
8. Lists
9. Functions
  1. Introducing Functions
  2. Closures
  3. lapply/sapply Functions
10. DataFrames
11. Labs for All Sections
Day Two: Intermediate R Programming
1. DataFrames and File I/O
2. Reading Data from Files
3. Data Preparation
4. Built-in Datasets
5. Visualization
  1. Graphics Package
  2. plot() / barplot() / hist() / boxplot() / scatter plot
  3. Heat Map
  4. ggplot2 Package ( qplot(), ggplot())
6. Exploration with Dplyr
7. Labs for All Sections
Day 3: Advanced Programming With R
1. Statistical Modeling With R
  1. Statistical Functions
  2. Dealing with NA
  3. Distributions (Binomial, Poisson, Normal)
2. Regression
  1. Introducing Linear Regressions
3. Recommendations
4. Text Processing (tm package / Wordclouds)
5. Clustering
  1. Introduction to Clustering
  2. KMeans
6. Classification
  1. Introduction to Classification
  2. Naive Bayes
  3. Decision Trees
  4. Training Using Caret Package
7. Evaluating Algorithms
8. R and Big Data
  1. Hadoop
  2. Big Data Ecosystem
  3. RHadoop
9. Labs for All Sections

Class Materials

Each student in our Live Online and our Onsite classes receives a comprehensive set of materials, including course notes and all the class examples.

Class Prerequisites

Experience in the following is required for this R Programming class:

Basic programming background.

Preparing for Class

Onsite: Course Setup

No cancelation for low enrollment

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Registered Education Provider (R.E.P.)

GSA schedule pricing

72,554

Students who have taken Live Online Training

15,169

Organization who trust Webucator for their training needs

100%

Satisfaction guarantee and retake option

9.42

Students rated our trainers 9.42 out of 10 based on 5,211 reviews

Customized Onsite Training