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Big Data Certification
Demonstrate your ability to use the tools and technology designed to handle big data. The SAS Certified Big Data Professional program delivers the extra edge you're looking for.
Power up your staff’s skills and boost your business
Course Description
About Program
Format of Training
Prerequisite
Training Features
Course Curriculum
Project
Success Stories
Course Fees
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ContactCourse Description
Learn How To!
- Critical SAS programming skills.
- Accessing, transforming and manipulating data.
- Improving data quality for reporting and analytics.
- Essential communication skills.
- Fundamentals of statistics and analytics.
- Working with Hadoop, Hive, Pig and SAS.
- Exploring and visualizing data.
SAS software covered
- Base SAS®
- SAS® Enterprise Guide®
- SAS® Enterprise Miner™
- SAS® In-Memory Statistics
- SAS® Studio
- SAS/STAT®SAS®
- Visual Analytics
- DataFlux® Data Management Server
- DataFlux® Data Management Studio
About Program
SAS® Certified Big Data Professional Curriculum:
- Covers 9 Courses
- Case Studies (Real-world case studies enable you to apply what you've learned.)
- 2 Exams
- Pass all two exams to earn your certification credential.
Programming Refresher
SAS Fundamentals: Programming, SQL and Macro Language (classroom only)
This course focuses on data manipulation techniques using the DATA step and SQL procedure to access, transform, join and summarize SAS data sets. You'll learn how to use components of the SAS macro facility to make text substitutions in SAS code and to write simple macro programs.
Topics Covered
- Summarizing and presenting data.
- Querying and subsetting data.
- Transforming character, numeric and date variables.
- Combining SAS data sets, including complex joins and merges.
- Performing DO loop and SAS array processing.
- Restructuring or transposing SAS data sets.
- Performing text substitution in SAS code.
- Using macro variables.
- Creating simple macro definitions.
Format of Training
Taught by certified instructors at High-Tech facilities across the country:
- A SAS expert at your side.
- Focused learning away from the office
- Networking opportunities
- State-of-the-art facilities
- Electronic course notes downloadable to your device and permission to print
- Business Knowledge Series: in-depth courses on the latest business topics
- We offer Connected Classes! Watch for courses in Cary, New York, Arlington, Dallas and San Francisco that connect remote students via our Live Web classroom.
Self Paced Learning Platform
SAS e-learning courses are online, hands-on tutorials that you can access whenever and wherever is convenient for you – satisfaction guaranteed. All you need is an internet connection. With e-learning from SAS, you can:
- Train when and where you want.
- Learn at your own pace.
- Access the same content as our instructor-based courses, only optimized for self-study.
- Earn a certificate of completion.
- Benefit from courses created by SAS experts.
Free Training e-learning subscription - please connect with us
Get a quick, easy start with SAS® online training – or expand your learning without spending a dime.
Prerequisite
Prerequisite Skills
To enroll in the program, you need at least six months of programming experience in SAS or another programming language. If you need to brush up on your programming skills, the SAS Programming for Data Science Fast Track will give you a good foundation.
Training Features
48 hours of Instructor-led Classes.
- Classroom: 6 Days/48 Hrs
- Live Web Classroom: 12 half-day session(s)
- e-Learning: 24 Hr/180 Day License (Free)
Course includes embedded practice content for strenthening programming skills.
One attempt of Global certification worth $180
The perfect starting point for those interested in a career as a SAS® professional. Successful candidates should have experience in programming and data management using SAS®9.
Validate your skills. Stand out.
- Earn recognition for your knowledge.
- Increase your value to your employer.
- Enhance your credibility as a SAS professional.
- Get a digital badge you can share.
Course Curriculum
Module 1: Big Data Preparation, Statistics and Visual Exploration
Course 1: Big Data Challenges and Analysis-Driven Data
This course provides an overview of the challenges associated with big data and analysis-driven data.
Course 2: Exploring Data With SAS Visual Analytics
In this course, you'll learn how to use SAS Visual Analytics Explorer to explore in-memory tables from the SAS® LASR™ Analytic Server and perform advanced data analyses.
Course 3: Statistics 1: Introduction to ANOVA, Regression and Logistic Regression
This introductory SAS/STAT® course focuses on t-tests, ANOVA and linear regression, and includes a brief introduction to logistic regression.
Course 4: Preparing Data for Analysis and Reporting
In this course, you'll learn how to perform data management tasks, such as improving data quality, entity resolution and data monitoring.
Course 5: Crafting Compelling (and true) Data Stories
Storytelling is a necessary skill when talking to key stakeholders. Insights uncovered in your data can move mountains if the right people say yes. But how do you move someone from simply being curious, all the way to, "Let's do this!" In this course, you'll learn why storytelling is a skill you need to develop, when a story works and when it doesn't, and how to communicate data in a meaningful way.
Module 1 prepares you for the SAS Big Data Preparation, Statistics and Visual Exploration certification exam.
Module 2: Big Data Programming and Loading
Course 1: Introduction to SAS and Hadoop: Essentials
This course teaches you how to use SAS programming methods to read, write and manipulate Hadoop data. You'll learn how to use Base SAS methods to read and write raw data with the DATA step, manage the Hadoop Distributed File System (HDFS) and execute MapReduce and Pig code from SAS via the HADOOP procedure. You'll also learn how to use SAS/ACCESS® Interface to Hadoop methods that allow LIBNAME access and SQL pass-through techniques to read and write Hive or Impala table structures.
Course 2: DS2 Programming Essentials With Hadoop
This course focuses on DS2, a fourth-generation SAS proprietary language for advanced data manipulation, which enables parallel processing and storage of large data with reusable methods and packages.
Course 3: Hadoop Data Management With Hive, Pig and SAS
In this course, you will use processing methods to prepare structured and unstructured big data for analysis. You will learn to organize the data into structured tabular form using Apache Hive and Apache Pig. You will also learn SAS software technology and techniques that integrate with Hive and Pig, as well as how to use these open source capabilities by programming with Base SAS and SAS/ACCESS Interface to Hadoop, and with SAS Data Integration Studio.
Course 4: Getting Started With SAS In-Memory Statistics
This course focuses on accessing data on the SAS LASR Analytic Server and performing exploratory analysis and preparation. Topics include starting the server, loading data and manipulating data on the SAS LASR Analytic Server using the IMSTAT procedure. IMSTAT topics include deriving new temporary and permanent tables and columns, calculating summary statistics (e.g., mean, frequency and percentile), and creating filters and joins on in-memory data.
Module 2 prepares you for the SAS Big Data Programming and Loading certification exam.
Project
Real-world case studies enable you to apply what you have learned.
Success Stories
Hi, this is Debasis. I would like to convey my heartfelt gratitude to Epoch for shaping my career in SAS. Back of my mind I wanted to move to IT sector,...
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Debasis Sahoo
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