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.
Learn How To!
SAS software covered
SAS® Certified Big Data Professional Curriculum:
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.
Taught by certified instructors at High-Tech facilities across the country:
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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.
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.
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.