INTRODUCTION TO

3 day course to cover fundamentals and practices you need to know

about data science and using R.

DATA SCIENCE USING R

The art and science of making sense of data is ahighly sought after skill in today’s data drivenworld. This revolutionary skill known as datascience is becoming a must have talent thatemployers seek in candidates. Data science isnow recognized as a highly-critical growth areawith impact across many sectors includingscience, government, finance, health care,manufacturing, advertising, retail, andothers. Companies are searching for datascientists. This specialised field demandsmultiple skills not easy to obtain throughconventional curricula.

Introduction to Data Science using R lives up toits name. It highlights basic principles of datascience and focuses on developing theunderstanding and the capabilities you need tofully appreciate the insights data can provide ustoday. You'll apply the R programminglanguage and statistical analysis techniques tocarefully-explained examples. This course willcover the elements that make up data scienceso that you understand the basic concepts andbecome confident in applying data science toreal world data challenges.

Every object on earth is generating data, including our homes, our cars and yes even ourbodies. Data is the by-product of our new digital existence. Enterprise systems, machines,sensors, social networks and so many other data factories are the catalyst of the explosion ofdata in our world. It is therefore very easy to be overwhelmed by the amount of data we areexposed to. As scary as it may seem, this in fact is propelling us into the greatest age ofdiscovery our species has ever known. As we move from isolation into massively connectedworld, data is a key ingredient which can be leveraged to deliver value and insights. Datapresents unprecedented opportunities to those who have the skills and expertise to use it tounveil patterns, insights, signals and predict trends which was never possible before.

So, be part of the data revolution byattending this course to gauge thefundamentals of data science and leavearmed with a firm understanding of thefoundations of data science using R to extractvalue from data. With the knowledge andskills gained from this practical course, youwill gain a competitive advantage inunderstanding data which will set you ingood stead to further your knowledge andcareers in the field of data science. It will alsoallow you to set the ground work inpreparing you for more advance levels ofdata science courses.

INTRODUCTION TO

DATA SCIENCE USING R

DATA REVOLUTION! JOIN THE

Hal Varian

#1

“If you are looking for a career where your services will be in high demand, you should find something where you provide a scarce, complementary service to something that is getting ubiquitous and cheap. So what’s getting ubiquitous and cheap? Data. And what is complementary to data? Analysis. So my recommendation is to take lots of courses about how to manipulate and analyze data: databases, machine learning, econometrics, statistics, visualization, and so on.”

“

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WHAT WILL YOU LEARN?

So, here’s the deal-You won’t be a master R programmer by the end of this three-day course, but we sure can guarantee you will have learned the basics of R’ssyntax and grammar, and you’ll have started building an effective R vocabulary forvisualizing, transforming, and modelling data. You will also learn how to load,save, and transform data as well as how to write functions, generate beautifulgraphs, and fit basic statistical models to your data- not bad for a 3 day gig? Wewill also give you a conceptual framework to help you understand the datascience lifecycle, but remember, our focus is on practical tools that you can use assoon as you get out there in the jungle of data!

To make things relevant and interesting, all our techniques are motivated by realproblems, and you’ll be exposed to a number of real datasets throughout thecourse. As we hate the boring one sided training ordeals, we alternate brieflectures with hands-on practice: you’ll get plenty of experience actually using R(not just hearing about it!), and there’s plenty of help available if you get stuck-we love to help!

CONCEPTS & PRACTICES

40%

LAB

What is R?R is world’s most widely used statistics programming language. It's the # 1

choice of data scientists . R is free, open-source software distributed and maintained by the R-project. R is taught in universities and deployed in

mission critical business applications.

#2

INTRODUCTION TO

DATA SCIENCE USING R

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LEARNING OUTCOMES

Day 1

An Introduction to Data Science Component Parts of Data Science - Engineering a Data Science solution Data Science Life Cycle – A strategy to approach any data analytics

problems Overview and Introduction to R Getting started and working with data Reading and writing data with R

This course teaches the basic skills needed by anyone seriously interested in datascience and learning R. Topics covered for each day are listed below.

Day 2

Programming efficiently in R Descriptive Statistics and Introduction to Probability

Distributions Visualizing data and Exploratory Data Analysis Real World Data Challenge – Part 1

Day 3

Statistics and Modelling in R• Fit a model to data in R• Explore data sets with models• Basic statistical tests, power, and sample size functions• Correlation and Regression• Pearson, Spearman, Kendall correlations.• Linear Regression – residuals, fitted values, predictions and confidence

intervals.• Multiple Regression• Analysis of Variance• Linear Models• Logistic Regression

Real World Data Challenge – Part 2

#3

INTRODUCTION TO

DATA SCIENCE USING R

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INTRODUCTION TO

DATA SCIENCE USING R#4

WHAT SHOULD I BRING?

WHO SHOULD TAKE THIS COURSE?Ideal course for anyone interested in learning data science and R

This course is for technology professionals, business professionals, analysts,journalists, or anyone interested in understanding what data science is and wantsto learn how to use R for data analysis and modelling. This is also a greatopportunity for recent university graduates who would like to explore datascience as a career possibility.Have you tried learning data science and R from books or online, but have beendiscouraged? If so, this is the course for you.

PREREQUISITESNo prior experience with R or data science is required.

An undergraduate level of mathematics with some elementary statistics isrequired and some familiarity with basic programming languages andenvironments is desirable as some of the course exercises will involve scripting inR. Also, some hands on business experience will help but is not essential.

Persontyle trainers are passionate about meeting each participants learning needs.They have been chosen both for their extensive practical Data Science and MachineLearning experience and for their ability to educate and interact with naturalempathy. All of our trainers have worked on a variety of data science and MachineLearning projects. They share their academic knowledge and real-world experienceand each individual adds their own unique perspective to the course. Our trainerspresent in a style that is informal, entertaining and highly interactive.

Guest Speakers

Business leaders, Data Science practitioners, and academic researchers coveringuse cases, case studies and sharing practical experience of applying Data Scienceand Machine Learning in their organizations.

COURSE INSTRUCTORS

Along with bringing your laptop, don’t forget to bring loads of curiosity, scepticism, eagerness to participate and the desire to learn.

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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.

RETURN ON INVESTMENT (ROI) CONVINCE YOUR BOSS

We all need to learn how to analyse data, find the value and glean insights. Theadvent of the data driven connected era means that analyzing massive scale,messy, noisy, and unstructured data is going to increasingly form part of everyone'swork.

The School of Data Science learning programs provide a unique investmentopportunity that pay’s for itself many times over.

For corporate bookings or to organize on-site training email hello@persontyle.com or call now +44 (0)20 3239 3141

www.persontyle.com

World-class Instructors

Develop Practical Data Science Skills

Real World Industry Use Cases

Short Courses For Time Convenience

Value For Money

Register Now

"For the best return on your money, pour your purse into your head."

Benjamin Franklin

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Space is limited. We encourage you to register as soon as you can.