Learn Data Science and Machine Learning with R from A-Z
Course
Online
Description
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Type
Course
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Level
Beginner
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Methodology
Online
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Duration
Flexible
In this practical, hands-on course you’ll learn how to program in R and how to use R for effective data analysis, visualization and how to make use of that data in a practical manner.
You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.
Our main objective is to give you the education not just to understand the ins and outs of the R programming language, but also to learn exactly how to become a professional Data Scientist with R and land your first job.
The course covers practical issues in statistical computing which include programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting on R code. Blending practical work with solid theoretical training, we take you from the basics of R Programming to mastery.
This course is packed with practical hands-on examples that you can follow step by step. Even if you already have some coding experience, or want to learn about the advanced features of the R programming language, this course is for you!
About this course
No prior knowledge required
Reviews
Subjects
- Computing
- Data analysis
- Language Programming
- Programming
- Web
Teachers and trainers (1)
Frontier Education
Education
Course programme
Become a professional Data Scientist with R and learn Machine Learning, Data Analysis + Visualisation, Web Apps + more!
What you'll learn
- Become a professional Data Scientist, Data Engineer, Data Analyst or Consultant
- How to write complex R programs for practical industry scenarios
- Learn data cleaning, processing, wrangling and manipulation
- Learn Plotting in R (graphs, charts, plots, histograms etc)
- How to create resume and land your first job as a Data Scientist
- Step by step practical knowledge of R programming language
- Learn Machine Learning and it's various practical applications
- Building web apps and online, interactive dashboards with R Shiny
- Learn Data and File Management in R
- Use R to clean, analyze, and visualize data
- Learn the Tidyverse
- Learn Operators, Vectors, Lists and their application
- Data visualization (ggplot2)
- Data extraction and web scraping
- Full-stack data science development
- Building custom data solutions
- Automating dynamic report generation
- Data science for business
Learn Data Science and Machine Learning with R from A-Z