Order this unique E-Learning course R for Data Science online!
✔️ 1 year 24/7 access to interactive videos, voice-activated content and progress monitoring via reports.
✔️ Test your knowledge immediately with tests per chapter.

Why choose this course?

R is a powerful and widely used tool for data science and statistical analysis. This course provides you with a comprehensive introduction to the key concepts and tools needed to learn and apply data science techniques.

With this course you will gain:

• Thorough knowledge of data structures and how to manage them in R.
• Practical skills in data analysis such as importing, cleaning and manipulating datasets.
• Understanding regression analysis and classification models that you can apply to real datasets.
• Data visualisation tools to present complex insights simply and effectively.

Whether you are a beginner or want to expand your knowledge, this course will give you the skills to make data-driven decisions and solve complex data challenges.

Who should participate?

This course is perfect for:

• Data analysts and scientists who want to learn R to perform advanced data analysis.
• Statisticians who want to improve their work with a programming language designed specifically for data applications.
• IT professionals who want to transition to a career in data science or machine learning.
• Anyone interested in data science who wants to use a powerful tool like R for data manipulation and visualisation.

Course content

R for Data Science: Data Structures

Course: 52 Minutes

• Course Overview
• Creating Vectors
• Manipulating Vectors
• Sorting Vectors
• Using Lists
• Creating Matrices
• Matrix Operations
• Creating Factors
• Creating Data Frames
• Data Frame Operations
• Exercise: Creating and Using a Data Frame

R for Data Science: Importing and Exporting Data

Course: 34 Minutes

• Course Overview
• Reading from CSV
• Reading from Excel
• Reading from HTML
• Exporting to CSV
• Exporting to Excel
• Exporting to HTML
• Exercise: Reading and Writing Data

R for Data Science: Data Exploration

Course: 41 Minutes

• Course Overview
• Creating dplyr Tables
• Selecting Subsets
• Filtering Tabular Data
• Piping Data
• Mutating Data
• Summarizing Data
• Combining Datasets
• Grouping Data
• Exercise: Querying Data

R for Data Science: Regression Methods

Course: 37 Minutes

• Course Overview
• Linear Data Preparation
• Creating Linear Models
• Interpreting Model Output
• Using Linear Prediction
• Logistic Data Preparation
• Using glm
• Exercise: Creating a Linear Model

R for Data Science: Classification & Clustering

Course: 39 Minutes

• Course Overview
• Preparing Data for Classification
• Using rpart
• Using ctree
• Preparing Data for Clustering
• Using K-Means Clustering
• Using Hierarchical Clustering
• Exercise: Creating a Decision Tree

R for Data Science: Data Visualization

Course: 33 Minutes

• Course Overview
• Using Scatter Plots
• Using Line Graphs
• Using Bar Charts
• Using Box and Whisker Plots
• Using Histograms
• Using a Bubble Plot
• Exercise: Data Visualization

Get started with R for Data Science!

✔️ Learn at your own pace with interactive and accessible content.
✔️ Get hands-on knowledge that you can immediately apply to real data challenges.
✔️ Become an expert in data science and boost your career.

Order your course now and discover the power of R for data analysis and visualisation!