About This Course
Data Curation Course – Learn Online, Anytime, Anywhere
Duration: 80 Hours
Virtual Lab Hours (Software Access): 80 Hours
BTech, MTech, BCA, MCA, BCom, MCom, BBA, MBA, BSc statistisc, MSc Computers and Statistics.
SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.
No.1 globally in AI and advanced analytics software platform combined market share and revenue.
SAS is the only vendor named a leader in the Magic Quadrant for Data Science and Machine Learning Platforms
Total Worldwide Customer Sites
SAS software is installed at more than 83,000 business, government and university sites.
Fortune Global 1000® Customers
92 of the top 100 companies on the 2018 Fortune Global 1000® are SAS customers.
SAS® in the Life Sciences Industry – Facts & Figures
SAS is the de facto standard for clinical trials, data analysis and reporting for new product submissions to regulatory authorities, such as the US Federal Drug Administration.
- 2,350+ life sciences companies of all sizes use SAS
- 100% of the life sciences companies in the Fortune 500 use SAS
- 45 countries with life sciences companies using SAS
Customer Stories – Siemens
Customer Stories – Axis Bank
Data Curation Course
SAS Data Curation Professional consists of four separate courses that cover a variety of topics. First, you receive an introduction to data curation and an overview that addresses prerequisite understanding. Next, you discover how to access your data from a variety of sources, create processes to manage and transform data, and ensure the reliability and consistency of your data. Subsequent materials discuss the Hadoop environment, Apache Hive, and Apache Pig, as well as various SAS methods for interacting with Hadoop. Finally, you learn to use additional SAS data management technologies to access, manage, and govern your data.
- Base SAS Programming knowledge is required.
- Graduates in Engineering/MBA/MCA /Science/ Statistics/Maths degree