AcademyR Course Catalog

Transcription

1 AcademyR Course Catalog

2 Table of Contents Our Philosophy...3 Courses Listed by Role Data Analyst...4 Data Scientist...6 R Programmer...9 Statistician BI Developer System Administrator Big Data Architect Courses Listed by Skill Level Introductory Course Offerings Intermediate Course Offerings Advanced Course Offerings Revolution R Enterprise Certification Interactive Self-Paced Courses on DataCamp Contact Us Don t see your learning needs listed here? Revolution Analytics instructors can build custom courses on any of the R topics or even by using your data sets, specific to your business requirements. Contact us at academyr@revolutionanalytics.com to arrange custom training at your location. ACADEMYR COURSE CATALOG 2014 REVOLUTION ANALYTICS 2

3 Revolution Analytics has partnered with leading industry experts to offer professional training and help your organization build high-performance analytical applications that leverage R for the enterprise. Experienced instructors work with you to customize courses using data and case studies that are relevant to your business. AcademyR courses are available in classroom, virtual, self-paced, and blended learning formats. Our Philosophy We believe that active learning is more effective and more fun for every individual. Through cooperative participation, we build on current knowledge with real-world context to achieve your training goals. Active Learning Fun Impact Assessment AcademyR Real World Contexts Prior Knowledge Cooperation Goal-Based Curriculum ACADEMYR COURSE CATALOG 2014 REVOLUTION ANALYTICS 3

4 Data Analyst Data analysts collect, explore, and visualize data to find valuable patterns. Robert A. Muenchen R Training Partner and Author When I first learned R, I found it very frustrating but I quickly realized that most of that frustration came from expecting R to work like other stat packages. I wasn t alone! My online notes on how to avoid common pitfalls soon got over 10,000 hits per month. That led to books and workshops, and I now find it very rewarding to guide people through the parts of R that are most likely to trip them up. Robert A. Muenchen is the author of the books R for SAS and SPSS Users and, with Joseph M. Hilbe, R for Stata Users. He is also the creator of r4stats.com, a popular website devoted to analyzing trends in analytics software and helping people learn the R language. Bob has more than 30 years of experience and is currently the manager of OIT Research Computing Support at the University of Tennessee. His workshops have drawn attendees from more than 500 organizations, and Bob has served on the advisory boards of SAS Institute, SPSS Inc., StatAce OOD, Intuitics, the Statistical Graphics Corporation, and PC Week Magazine. ACADEMYR COURSE CATALOG 2014 REVOLUTION ANALYTICS 4

5 Core Courses for Data Analysts Fundamentals of the R Language Explore the basics of R programming, data manipulation, graphics, and data analysis. Course: T-RRO-101 Prerequisite: Some programming and statistical skills Introduction to Revolution R Enterprise Learn how Revolution R Enterprise addresses the biggest soft spot of R. From architectural overview to data management and transformations, all topics cover use of the Revolution R Enterprise ScaleR package. Specialized versions are available for supported data platforms. Course: T-RRE-103 Specializations for Data Analysts Introduction to R for SAS, SPSS, or Stata Users Get a foundation in R programming specifically for those familiar with statistical software such as SAS, SPSS, or Stata. Knowledge of basic data analysis concepts is assumed. Course: T-RRO-102 Prerequisite: Some programming and statistical skills Duration: 2 days Managing Data with R Explore the most common data management tasks in R using built-in functions and the latest packages. Topics covered include methods for data import, export, munging, and manipulation. Course: T-RRO-201 Data Visualization in R Learn how to build graphics in R using a range of packages, including base R, lattice, and ggplot2. Course: T-RRO-202 ACADEMYR COURSE CATALOG 2014 REVOLUTION ANALYTICS 5

6 Data Scientist Data scientists find and interpret rich data sources and manage large data sets despite hardware, software, and bandwidth constraints. They present and communicate their insights and findings to both technical and non-technical audiences. Giovanni Seni PhD, Experienced Senior Data Scientist & Data Science Team Lead The central Data Engineering & Analytics team partnered with AcademyR to provide professional development to our analytics professionals at various levels junior analysts, many with an SAS background, and experienced analysts. Over 65 employees participated in these sessions, and the feedback was highly positive. The R user community within the company is growing, and employees feel they, too, are growing! Giovanni Seni, PhD, is an active data-mining practitioner in Silicon Valley with more than 15 years R&D experience in statistical pattern recognition and data- mining applications. He is the author of the book, Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions, an open source contributor (project REgo), and an adjunct faculty member at the Computer Engineering Department of Santa Clara University. ACADEMYR COURSE CATALOG 2014 REVOLUTION ANALYTICS 6

7 Core Courses for Data Scientists, Option 1 Predictive Modeling with Revolution R Enterprise I * Survey algorithms and techniques that use R for predictive modeling and data mining, including linear regression, logistic regression, stepwise regression, GLM, and k-means clustering. Learn best practices in model evaluation and scoring. Course: T-RRE-211 Prerequisite: T-RRE-103 and Data Analyst curriculum Core Courses for Data Scientists, Option 2 Predictive Modeling with Revolution R Open I Survey algorithms and techniques that use R for predictive modeling and data mining, including linear regression, logistic regression, stepwise regression, GLM, and k-means clustering. Examine best practices in model evaluation and scoring. Course: T-RRO-213 and Data Analyst curriculum Predictive Modeling with Revolution R Enterprise II * Survey algorithms and techniques that use R for predictive modeling and data mining, including decision trees, random decision forests, and boosted decision trees (popularly known as the ensemble methods). Learn best practices in fine-tuning the models. Course: T-RRE-212 Prerequisite: T-RRE-211 and Data Analyst curriculum Predictive Modeling with Revolution R Open II Survey algorithms and techniques that use R for predictive modeling and data mining, including decision trees, random decision forests, and boosted decision trees (popularly known as the ensemble methods). Examine best practices in fine-tuning the models. Course: T-RRO-214 Prerequisite: T-RRO-213 and Data Analyst curriculum *Specialized versions are available for supported data platforms. ACADEMYR COURSE CATALOG 2014 REVOLUTION ANALYTICS 7

8 Specializations for Data Scientists Parallel Computing and Simulations with Revolution R Enterprise Explore techniques for parallel computing with R on computer clusters, multicore systems, or grid computing and see how Revolution R Enterprise makes parallel computing easy. Course: T-RRE-301 Prerequisite: T-RRE-211 and Data Analyst curriculum Advanced R Programming Topics include efficient programming and memory management, advanced function writing topics, simulation, environments, and object-oriented programming. Course: T-RRO-351 Prerequisite: Practical experience in R; T-RRO-101 or T-RRO-102; and Data Analyst curriculum Maximizing R and Hadoop Learn advanced MapReduce jobs in Hadoop using the RHadoop packages. Course: T-RRP-311 Prerequisite: T-RRE-212 and Data Analyst curriculum Text Mining in R Explore text analytics and natural language processing (NLP) in R, including structuring text and topicmodeling algorithms. Building Your Own Algorithms with RevoPemaR Learn tools and techniques for writing parallel external memory algorithms in RevoPemaR to handle data exceeding computer memory. Specialized versions are available for supported data platforms. Course: T-RRP-361 Prerequisite: T-RRO-351 and Data Analyst curriculum Course: T-RRO-321 and Data Analyst curriculum Duration: 2 days ACADEMYR COURSE CATALOG 2014 REVOLUTION ANALYTICS 8

9 R Programmer R programmers build applications for use by others who do not have R knowledge. They are proficient in R language and its programming environment. Advanced practitioners improve the performance of code written in R and build packages in R. Courses for R Programmers Dynamic Reporting with R Learn methods for creating reports webpages (static and interactive), Microsoft Office documents (Word, Excel, PowerPoint), and publication-quality (LaTeX) reports with R. Explore knitr, R Markdown, R2wd, R2PPT, googlevis, and Shiny. Course: T-RRO-221 and Data Analyst curriculum Duration: 2 days Advanced R Programming Topics include efficient programming and memory management, advanced function writing topics, simulation, environments, and object-oriented programming. Course: T-RRO-351 Prerequisite: Practical experience in R; T-RRO-101 or T-RRO-102; and Data Analyst curriculum ACADEMYR COURSE CATALOG 2014 REVOLUTION ANALYTICS 9

10 Statistician Statisticians collect, analyze, interpret, and present quantitative information. They design and manage experiments and surveys, and they deal with the initial collection of data. Looking for patterns to help make decisions, statisticians process and analyze the data in context. They also advise on findings and recommend strategy. Courses for Statisticians Statistics with Revolution R Enterprise This course provides a survey of introductory statistics and hypothesis testing using Revolution R Enterprise. Topics covered include visualization, cross-tabulation, and linear regression, correlation, and clustering. Course: T-RRE-111 Prerequisite: T-RRE-103 and Data Analyst curriculum ACADEMYR COURSE CATALOG 2014 REVOLUTION ANALYTICS 10

11 BI Developer Business intelligence developers build analytical applications using technologies such as Java/JavaScript/.NET/PHP in the presentation layer and R in the analytics layer. They are also familiar with SOA/REST protocols. Courses for BI Developers Fundamentals of the R Language Explore the basics of R programming, data manipulation, graphics, and data analysis. Course: T-RRO-101 Prerequisite: Some programming and statistical skills Developing Web Applications with Revolution R Enterprise Deploy R applications on a server for access by client applications through a web services API. Course: T-RRE-241 ACADEMYR COURSE CATALOG 2014 REVOLUTION ANALYTICS 11

12 System Administrator System administrators oversee several corporate enterprise systems, including Revolution R Open/Enterprise. Courses for System Administrators Fundamentals of the R Language Explore the basics of R programming, data manipulation, graphics, and data analysis. Course: T-RRO-101 Prerequisite: Some programming and statistical skills System Administration Training * This covers hands-on training for system administrators and others responsible for managing Revolution R Enterprise in production or development environments. Course: T-RRE-231 Jeremy Reynolds Senior Trainer, Revolution Analytics My favorite part of training others in R is the personal interactions. I love it when someone poses an everyday work problem and I can help them solve it. Jeremy Reynolds holds a PhD in Psychology and was a tenure-track faculty member researching the neural and computational mechanisms underlying learning, memory, and decision making. Jeremy started using R as a first-year graduate student in 2000 and now has more than 14 years of experience using R to manipulate, analyze, and visualize data (and of course evangelizing and teaching R). *Specialized versions are available for supported data platforms. ACADEMYR COURSE CATALOG 2014 REVOLUTION ANALYTICS 12

13 Big Data Architect Big data architects describe the structure and behavior of big data solutions and how they can be delivered using technology like Hadoop. They define IT system architectures to support particular business strategies and bring cross-functional, interdisciplinary knowledge to the team. Jamie Olson Analytics Architect, Revolution Analytics While at graduate school, I discovered R. The power of R was captivating, but the learning curve was challenging. My passion is to flatten the learning curve as much as possible. I combine my expertise in computer science, cognitive science, and statistics to facilitate learning. Jamie Olson has BA in Computer Science and Cognitive Science and an MS in Computer Science. He has nearly a decade of experience in R, advanced statistical modeling, machine learning, and modeling complex systems. ACADEMYR COURSE CATALOG 2014 REVOLUTION ANALYTICS 13

14 Core Courses for Big Data Architects Fundamentals of the R Language Explore the basics of R programming, data manipulation, graphics, and data analysis. Course: T-RRO-101 Prerequisite: Some programming and statistical skills; prior experience and training in complementary big data technologies Introduction to Revolution R Enterprise Learn how Revolution R Enterprise addresses the biggest soft spot of R. From architectual overview to data management and transformations, all topics cover use of the Revolution R Enterprise ScaleR package. Specialized versions are available for supported data platforms. Course: T-RRE-103 ; prior experience and training in complementary big data technologies Specializations for Big Data Architects Parallel Computing and Simulations with Revolution R Enterprise Explore techniques for parallel computing with R on computer clusters, multicore systems, or grid computing and see how Revolution R Enterprise makes parallel computing easy. Course: T-RRE-301 Prerequisite: T-RRE-211; prior experience and training in complementary big data technologies Maximizing R and Hadoop Learn advanced MapReduce jobs in Hadoop using the RHadoop packages. Course: T-RRP-311 Prerequisite: T-RRE-212; prior experience and training in complementary big data technologies Developing Web Applications with Revolution R Enterprise Deploy R applications on a server for access by client applications through a web services API. Course: T-RRE-241 ; prior experience and training in complementary big data technologies ACADEMYR COURSE CATALOG 2014 REVOLUTION ANALYTICS 14

15 Courses Listed by Skill Level Introductory Course Offerings Course: T-RRO-101 Fundamentals of the R Language Explore the basics of R programming, data manipulation, graphics, and data analysis. Prerequisite: Some programming and statistical skills Recommended for: Data Analysts BI Developers System Administrators Big Data Architects Course: T-RRE-111 Statistics with Revolution R Enterprise This course provides a survey of introductory statistics and hypothesis testing using Revolution R Enterprise. Topics covered include visualization, cross-tabulation, and linear regression, correlation, and clustering. Prerequisite: T-RRE-103 Recommended for: Statisticians Course: T-RRO-102 Introduction to R for SAS, SPSS, or Stata Users Get a foundation in R programming specifically for those familiar with statistical software such as SAS, SPSS, or Stata. Knowledge of basic data analysis concepts is assumed. Prerequisite: Some programming and statistical skills Duration: 2 days Recommended for: Data Analysts Course: T-RRE-103 Introduction to Revolution R Enterprise Learn how Revolution R Enterprise addresses the biggest soft spot of R. From architectural overview to data management and transformations, all topics cover use of the Revolution R Enterprise ScaleR package. Specialized versions are available for supported data platforms. Recommended for: Data Analysts Big Data Architects ACADEMYR COURSE CATALOG 2014 REVOLUTION ANALYTICS 15

16 Courses Listed by Skill Level Intermediate Course Offerings Course: T-RRO-201 Managing Data with R Explore the most common data-management tasks in R using built-in functions and the latest packages. Topics covered include methods for data import, export, munging, and manipulation. Recommended for: Data Analysts Course: T-RRO-202 Data Visualization in R Learn how to build graphics in R using a range of packages, including base R, lattice, and ggplot2. Recommended for: Data Analysts Course: T-RRE-211 Predictive Modeling with Revolution R Enterprise I Survey algorithms and techniques that use R for predictive modeling and data mining, including linear regression, logistic regression, stepwise regression, GLM, and k-means clustering. Learn best practices in model evaluation and scoring. Specialized versions are available for supported data platforms Course: T-RRE-212 Predictive Modeling with Revolution R Enterprise II Survey algorithms and techniques that use R for predictive modeling and data mining, including decision trees, random decision forests, and boosted decision trees (popularly known as the ensemble methods). Learn best practices in fine-tuning the models. Specialized versions are available for supported data platforms. Prerequisite: T-RRE-211 Recommended for: Data Scientists Course: T-RRO-213 Predictive Modeling with Revolution R Open I Survey algorithms and techniques that use R for predictive modeling and data mining, including linear regression, logistic regression, stepwise regression, GLM, and k-means clustering. Examine best practices in model evaluation and scoring. Recommended for: Data Scientists Prerequisite: T-RRE-103 Recommended for: Data Scientists ACADEMYR COURSE CATALOG 2014 REVOLUTION ANALYTICS 16

17 Courses Listed by Skill Level Intermediate Course Offerings (continued) Course: T-RRO-214 Predictive Modeling with Revolution R Open II Survey algorithms and techniques that use R for predictive modeling and data mining, including decision trees, random decision forests, and boosted decision trees (popularly known as the ensemble methods). Examine best practices in fine-tuning the models. Prerequisite: T-RRO-213 Recommended for: Data Scientists Course: T-RRE-241 Developing Web Applications with Revolution R Enterprise Deploy R applications on a server for access by client applications through a web services API. Recommended for: BI Developers Big Data Architects Course: T-RRO-221 Dynamic Reporting with R Learn methods for creating reports webpages (static and interactive), Microsoft Office documents (Word, Excel, PowerPoint), and publication-quality (LaTeX) reports with R. Explore knitr, R Markdown, R2wd, R2PPT, googlevis, and Shiny. Duration: 2 days Recommended for: R Programmers Course: T-RRE-231 System Administration Training This covers hands-on training for system administrators and others responsible for managing Revolution R Enterprise in production or development environments. Specialized versions are available for supported data platforms. Recommended for: BI Developers Big Data Architects ACADEMYR COURSE CATALOG 2014 REVOLUTION ANALYTICS 17

18 Courses Listed by Skill Level Advanced Course Offerings Course: T-RRE-301 Parallel Computing and Simulations with Revolution R Enterprise Explore techniques for parallel computing with R on computer clusters, multicore systems, or grid computing and see how Revolution R Enterprise makes parallel computing easy. Prerequisite: T-RRE-211 Recommended for: Data Scientists Big Data Architects Course: T-RRO-351 Advanced R Programming Topics include efficient programming and memory management, advanced function writing topics, simulation, environments, and object-oriented programming. Prerequisite: T-RRO-101 or T-RRO-10 and practical experience in R Recommended for: Data Scientists R Programmers Course: T-RRP-311 Maximizing R and Hadoop Learn advanced MapReduce jobs in Hadoop using the RHadoop packages. Prerequisite: T-RRE-2112 Recommended for: Data Scientists Big Data Architects Course: T-RRP-361 Building Your Own Algorithms with RevoPemaR Learn tools and techniques in RevoPemaR for writing parallel external memory algorithms to handle data exceeding computer memory. Specialized versions are available in supported data platforms. Prerequisite: T-RRO-351 Recommended for: Data Scientists Course: T-RRO-321 Text Mining in R Explore text analytics and natural language processing (NLP) in R, including structuring text and topic-modeling algorithms. Duration: 2 days Recommended for: Data Scientists ACADEMYR COURSE CATALOG 2014 REVOLUTION ANALYTICS 18

19 Revolution R Enterprise Certification Demonstrate your expertise with the most sought-after R analytics skills for the enterprise. Professional Revolution R Enterprise Certification is the industry s first certification for advanced big data analytics using Revolution R Enterprise the big data, big analytics platform based on the R statistical programming language. Experts forecast a huge talent gap within the advanced analytics field in the coming years. At AcademyR, Revolution Analytics addresses this need for advanced data-science skills by sharing our industry expertise. Revolution R Enterprise Certification examinations may be scheduled as online or on-site proctored events. Visit revolutionanalytics.com/academyr-certification. Revolution R Enterprise Certified Specialist R is the most widely used statistical language today. The first choice of data scientists, it has more than 2 million users worldwide. Offering scalable, high-performance enterprise analytics, Revolution R Enterprise supports a variety of analytical capabilities, including exploratory data analysis, model building, and model deployment. Sucessful candidates must demonstrate their capabilities with Revolution R Enterprise for advanced, industry-ready analytics projects. Topics covered in this examination include: Introductory big data analytics R as a programming language Big data management in Revolution R Enterprise Big data exploration and statistical analysis using Revolution R Enterprise Advanced big data analytics: modeling in Revolution R Enterprise ACADEMYR COURSE CATALOG 2014 REVOLUTION ANALYTICS 19

20 Interactive Self-Paced Courses on DataCamp The best way to learn is by doing. All DataCamp courses are provided through an online learning portal, tailored for hands-on experimentation in the browser. The platform uses in-browser coding exercises powered by Revolution R Enterprise, supported by high-quality video and slide material Visit datacamp.com/tracks/revolution. ACADEMYR COURSE CATALOG 2014 REVOLUTION ANALYTICS 20

21 Contact Us Revolution Analytics GET-REVO 2570 W. El Camino Real, Suite 222 Mountain View, CA ACADEMYR COURSE CATALOG 2014 REVOLUTION ANALYTICS 21