Big Data Certification
Become a SAS® Certified Big Data Professional.
Thinking about getting your big data certification? It's a worthwhile step, as the ability to keep up with constantly changing technologies can make or break your career.
The SAS Certified Big Data Professional program – offered by the SAS Academy for Data Science – can give you the extra edge you're looking for.
The big data certification program is ideal for individuals ready to build on their basic programming knowledge by learning how to gather and analyze big data in SAS.
To enroll in the SAS Certified Big Data Professional program, you need at least six months of programming experience in SAS or another programming language. Need to brush up on your programming skills? We recommend that you first complete the SAS Programming 1: Essentials course, which is available as an instructor-led or free online e-learning course. You might also find the SAS Programming 2: Data Manipulation Techniques course helpful.
The academy's big data certification program focuses on these areas:
The six-week big data certification program curriculum includes the following courses:
Big Data Challenges and Analysis-Driven Data
This course provides an overview of the challenges associated with big data and analysis-driven data.
SAS Fundamentals: Programming, SQL and Macro Language
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.
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.
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.
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.
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.
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.
Big Data Analysis With Hive and Pig
In this hands-on course, you'll use processing and analysis to find insights in structured and unstructured big data. You'll learn how to organize structural data in tabular format using Apache Hive and how to analyze the data using the Hive query language (HiveQL). You'll use the Apache Pig scripting language to perform batch processing tasks, such as extract, transform, load (ETL), data preparation and analytics.
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.
Working With SAS Data Loader for Hadoop
This course focuses on profiling, integrating, cleansing and moving big data in a Hadoop environment – without having to write code – using an intuitive, web-based interface.
In the big data certification program courses, you will learn to use the following SAS software:
The big data certification program includes two certification exams. To earn the SAS Certified Big Data Professional credential, you must pass both exams:
Already have the skills covered in the big data certification program courses? If so, you may take the exams without completing the coursework. Get details – including test dates, locations and fees – using the links above.
|08JUN – 21JUL||SAS Certified Big Data Professional||US $9,000||Cary, NC||Register now|
|24JUL – 01SEP||SAS Certified Advanced Analytics Professional||US $9,000||Cary, NC||Register now|
|08JUN – 01SEP||SAS Certified Data Scientist||US $16,000|
(a $2,000 savings!)
|Cary, NC||Register now|
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