INTRODUCTION TO DATA SCIENCE USING R

Transcription

1 3 day course to cover fundamentals and practices you need to know about data science and using R.

2 #1 JOIN THE DATA REVOLUTION! Every object on earth is generating data, including our homes, our cars and yes even our bodies. 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 of data in our world. It is therefore very easy to be overwhelmed by the amount of data we are exposed to. As scary as it may seem, this in fact is propelling us into the greatest age of discovery our species has ever known. As we move from isolation into massively connected world, data is a key ingredient which can be leveraged to deliver value and insights. Data presents unprecedented opportunities to those who have the skills and expertise to use it to unveil patterns, insights, signals and predict trends which was never possible before. The art and science of making sense of data is a highly sought after skill in today s data driven world. This revolutionary skill known as data science is becoming a must have talent that employers seek in candidates. Data science is now recognized as a highly-critical growth area with impact across many sectors including science, government, finance, health care, manufacturing, advertising, retail, and others. Companies are searching for data scientists. This specialised field demands multiple skills not easy to obtain through conventional curricula. Introduction to Data Science using R lives up to its name. It highlights basic principles of data science and focuses on developing the understanding and the capabilities you need to fully appreciate the insights data can provide us today. You'll apply the R programming language and statistical analysis techniques to carefully-explained examples. This course will cover the elements that make up data science so that you understand the basic concepts and become confident in applying data science to real world data challenges. So, be part of the data revolution by attending this course to gauge the fundamentals of data science and leave armed with a firm understanding of the foundations of data science using R to extract value from data. With the knowledge and skills gained from this practical course, you will gain a competitive advantage in understanding data which will set you in good stead to further your knowledge and careers in the field of data science. It will also allow you to set the ground work in preparing you for more advance levels of data science courses. 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. Hal Varian

3 #2 WHAT WILL YOU LEARN? So, here s the deal-you won t be a master R programmer by the end of this threeday course, but we sure can guarantee you will have learned the basics of R s syntax and grammar, and you ll have started building an effective R vocabulary for visualizing, transforming, and modelling data. You will also learn how to load, save, and transform data as well as how to write functions, generate beautiful graphs, and fit basic statistical models to your data- not bad for a 3 day gig? We will also give you a conceptual framework to help you understand the data science lifecycle, but remember, our focus is on practical tools that you can use as soon as you get out there in the jungle of data! To make things relevant and interesting, all our techniques are motivated by real problems, and you ll be exposed to a number of real datasets throughout the course. As we hate the boring one sided training ordeals, we alternate brief lectures 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 stuckwe love to help! CONCEPTS & PRACTICES LAB 40% 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.

4 #3 LEARNING OUTCOMES This course teaches the basic skills needed by anyone seriously interested in data science and learning R. Topics covered for each day are listed below. 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 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

5 #4 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 wants to learn how to use R for data analysis and modelling. This is also a great opportunity for recent university graduates who would like to explore data science as a career possibility. Have you tried learning data science and R from books or online, but have been discouraged? If so, this is the course for you. PREREQUISITES No prior experience with R or data science is required. An undergraduate level of mathematics with some elementary statistics is required and some familiarity with basic programming languages and environments is desirable as some of the course exercises will involve scripting in R. Also, some hands on business experience will help but is not essential. WHAT SHOULD I BRING? Along with bringing your laptop, don t forget to bring loads of curiosity, scepticism, eagerness to participate and the desire to learn. COURSE INSTRUCTORS Persontyle trainers are passionate about meeting each participants learning needs. They have been chosen both for their extensive practical Data Science and Machine Learning experience and for their ability to educate and interact with natural empathy. All of our trainers have worked on a variety of data science and Machine Learning projects. They share their academic knowledge and real-world experience and each individual adds their own unique perspective 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 researchers covering use cases, case studies and sharing practical experience of applying Data Science and Machine Learning in their organizations.

6 RETURN ON INVESTMENT (ROI) CONVINCE YOUR BOSS We all need to learn how to analyse data, find the value and glean insights. 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. World-class Instructors Develop Practical Data Science Skills Real World Industry Use Cases Short Courses For Time Convenience Value For Money "For the best return on your money, pour your purse into your head." Benjamin Franklin Space is limited. We encourage you to register as soon as you can. Register Now For corporate bookings or to organize on-site training [email protected] or call now +44 (0) 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. Follow us on Like us on Facebook Get in touch! [email protected]