course - getting started with r and data analysis
TRANSCRIPT
GETTING STARTED WITH
R AND DATA ANALYSIS[Learn R for effective data analysis]
R is an open source environment for statistical computing. R was created in1993 by Ross Ihaka and Robert Gentleman of the University of Aukland, NewZealand. It is a GNU project which is similar to the S language andenvironment which was developed at Bell Laboratories by John Chambers andcolleagues.
R provides an integrated environment for data manipulation, calculation andgraphical display. Worldwide, millions of statisticians and data scientists use Rfor data manipulation, statistical modelling, and graphical analysis.
R provides a wide variety of statistical (linear and nonlinear modelling, classicalstatistical tests, time-series analysis, classification, clustering, and manymachine learning methods) and graphical techniques, and is highly extensible.You can easily find, download and use 4000 plus methods in statistics,predictive modeling, and machine learning free of charge.
www.persontyle.com© 2014 Persontyle Ltd. All rights reserved.
R logo is trademark of the R Foundation, from http://www.r-project.org
One day course for people who are just starting with R as well as for data analysts who are switching to R from other statistical software, such as SAS, SPSS or Excel.
LEARN PRACTICAL SKILLS REQUIRED FOR VISUALIZING, TRANSFORMING, AND ANALYZING DATA IN R
R IS THE LEADING TOOL FOR STATISTICS, DATA ANALYSIS, AND MACHINE LEARNING
Getting Started With
and Data Analysis
Are you tasked with analysing data, or are you about to be? Have you been usingproprietary data analysis tools and would like to explore open source? If so, youare in for a treat as we introduce you to the most popular and rapidly growingopen source statistical package R.
In this course you will learn how to use R for effective data analysis, how to installand configure software necessary for a statistical programming environment,learn and practice R programming language concepts, common and useful Rcommands. You will learn to use R for reading data, writing functions, makinginformative graphs, and applying basic statistical methods.
WHAT IS THIS COURSE ABOUT?
www.persontyle.com© 2014 Persontyle Ltd. All rights reserved.
“As more and more business activity is digitized, new sources of information and ever-cheaper equipment combine to bring us into a new era: one in which large amounts of digital information exist
on virtually any topic of interest to a business”
R logo is trademark of the R Foundation, from http://www.r-project.org
Andrew McAfee and Erik Brynjolfsson
Getting Started With
and Data Analysis
WHAT WILL YOU LEARN?
+ Overview and introduction to R+ Getting started and working with data
+ Basic data types and operations+ Data Frames+ Importing, saving, exporting, and re-using data+ Common R functions for numbers, factors, text, and dates+ Vector-oriented computation+ Sorting, ranking, and printing
+ Reading and writing data with R+ Reading tables and CSV files, row and column headers, delimiters.
Built-in data.+ Cleaning and transforming data
+ Programming efficiently in R+ Writing R scripts and functions+ Loops and conditions+ Flow control, functions and classes in R, executing R scripts from GUI
and command line+ Visualizing data and Exploratory Data Analysis
+ Basic data summary functions/ summary statistics+ Exploring and plotting relationships between variables+ Visualizations for categorical and continuous data, scatter plots, box
plots, pie charts, histograms, bar plots, dot charts, and the char object.
WHO SHOULD TAKE THIS COURSE?The course is aimed at business professionals, data analysts, technologists,journalists, software developers, academics and students who already havesome basic competence in using statistics but wish to begin using R for the firsttime.
www.persontyle.com© 2014 Persontyle Ltd. All rights reserved.
R logo is trademark of the R Foundation, from http://www.r-project.org
Getting Started With
and Data Analysis
WHAT SHOULD I BRING?
PREREQUISITES
Basic knowledge of statistics and programming languages.
Persontyle trainers are passionate about meeting each participants learningneeds. They have been chosen both for their extensive practical Data Scienceand Machine Learning experience and for their ability to educate and interactwith natural empathy. All of our trainers have worked on a variety of datascience and Machine Learning projects. They share their academic knowledgeand real-world experience and each individual adds their own uniqueperspective to the course. Our trainers present in a style that is informal,entertaining and highly interactive.
Guest Speakers
Business leaders, Data Science practitioners, and academic researcherscovering use cases, case studies and sharing practical experience of applyingData Science and Machine Learning in their organizations.
COURSE INSTRUCTORS
Along with bringing your laptop and charger, don’t forget to bring loads ofcuriosity, scepticism, eagerness to participate and the desire to learn.
“I keep saying the sexy job in the next ten years will be statisticians. People think I'm joking, but who would've guessed that computer
engineers would've been the sexy job of the 1990s?
Professor Hal Varian, Chief Economist at Google
www.persontyle.com© 2014 Persontyle Ltd. All rights reserved.
R logo is trademark of the R Foundation, from http://www.r-project.org
Getting Started With
and Data Analysis
For corporate bookings or to organize on-site training email [email protected] or call now +44 (0)20 3239 3141
Register Now
RETURN ON INVESTMENT (ROI) CONVINCE YOUR BOSS
The advent of the data driven connected era means that analyzing massive scale, messy, noisy, and unstructured data is going to increasingly form part of everyone's work.
The School of Data Science learning programs provide a unique investment opportunity that pay’s for itself many times over.
"For the best return on your money, pour your purse into your head."
World-class Instructors
Benjamin Franklin
Develop Practical Data Science Skills
Real World Industry Use Cases
Short Courses For Time Convenience
Value For Money
THE SCHOOL OF DATA SCIENCE The School of Data Science, a project of Persontyle, specializes in designing and delivering
structured, relevant and practical learning experiences for all of us to understand data science in
simple human terms.
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