This course is aimed at those who want to incorporate R into their data analysis and business intelligence, particularly to replace existing Excel-based workflows.
DurationHighlights
Clean, normalise and gather data from Excel, SPSS, .csv and other sources
Learn the basics of tidyverse
Perform exploratory data analysis
Combine ggplot2 and tidyverse to calculate meaningful summaries
Design effective data visualisations and produce them from your data
Gain an introduction to Business Intelligence and its tools
Gain an introduction to Web Scraping: programmatically extracting links and images from websites
Learn about Web Scraping with HTML and CSS
Automate scraping with functions and parallel programming
Create, obtain and design maps and geographic data
Visualise geographic markets interactively with the leaflet package
Course Details
Introduction to R and RStudio
• Basics of the R language
• Advantages of RStudio
• Discovering, installing and using R packages
Data wrangling and tidyverse basics
• Introduction
• Importing data from Excel, .csv, SPSS and SAS files
• Long vs Wide Data
• Data.frames, tibbles and tidy data
• Factors, Dates and other data types
Exploratory Data Analysis
• Introduction
• Summary statistics
• Cross-tabulation and hierarchical group summaries
• Quickly visualise and explore datasets with ggplot2
Business Intelligence
• Introduction
• Design effective data visualisations
• Create functions to automate repetitive tasks
• Use RMarkdown to create PDF, HTML and MS Word reports
Web scraping
• Introduction
• HTML and CSS basics for web scraping
• Extracting links with rvest
• Automating scraping with functions and parallel programming
Maps and Geographic Data
• Introduction
• Creating geoscatterplots
• Obtaining shapefiles to create choropleth
• Designing effective choropleth with leaflet
Who should attend
This course is aimed at those who want to incorporate R into their data analysis and business intelligence, particularly to replace existing Excel-based workflows.
You’ll leave the course confident in using R to empower business decisions and harnessing data to understand and better communicate with your customers
History Of JBI Training
JB International (JBI Training) is a London (UK) company which was formed in 1995, delivering Technology training courses to leading organisations.
JBI has always focused on cutting edge technology and is widely recognised as a leading specialist provider of training in the fields of Artificial Intelligence, Machine Learning, Analytics, DevOps, Security....
Instructors & Consultants
We are confident that you will find our instructors to be among the finest around. Our Instructors bring into the classroom the experience of applying their skills in the "Real World" as systems developers and consultants.
Many are leading figures in the world of Technology and are able to add a lot of value to your training. The instructors are personable and able to communicate their technical knowledge effectively to delegates.
Increasingly, clients are looking for consultancy and project mentoring to help get leading-edge systems design , development and implementation underway smoothly.
JBI is able to provide this service and have a number of leading consultants who can add value to client projects.
Our R trainer has many years of experience and has written a number of books on R. This course is very hands-on. This means that there is plenty of time to experiment with what you are being taught, try things out for yourself and ask questions.
R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering etc.) and graphical techniques, and is highly extensible. It is available as free software.
Data Science is an arena of reconstructing unstructured data to a structured model and confer it into knowledge.
It covers the most essential topics you must learn to begin programming with R. With more than two million global users, the R language is rapidly turning into a top programming language specifically in the space of data science as well as statistics.
R is a programming language and software environment that can be used for graphic representation, statistical analysis, and reporting.
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