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Analytics SAS Programming

60,000.00

( 0 Review )

Course Level

Expert

Total Hour

90h

Course Content

Essentials to Start the Training

Module 1: Base SAS programming

Module 2: Advance SAS Programming

Projects

About Course

Analytics Programming

About SAS:

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
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What Will You Learn?

  • Base SAS Programming
  • Advanced SAS Programming
  • Supervised Projects

Material Includes

  • Presentations
  • Recorded Sessions
  • Data Sets
  • Projects
  • Demos and Activities

Requirements

  • Laptop or PC is required

Audience

  • Engineering & Statistics Students and Professionals
  • Healthcare, Pharma and Life-Science Students and Professionals
  • Commerce, Finance, Marketing and Management Students and Professionals

Instructor

N
5.00 /5

19 Courses

60,000.00
Enrollment validity: 180 days

Material Includes

  • Presentations
  • Recorded Sessions
  • Data Sets
  • Projects
  • Demos and Activities

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