Get yourself trained on SAS in Practice with this Online Training SAS in Practice.
Online Training SAS in Practice
Are you a beginner whos looking to become a Data Analyst or Data Scientist? If so, there are various tools and techniques to implement Data Analytics, but its recommended that you learn SAS as your first language because its easy to learn and has a user-friendly GUI. It holds the highest market share of all the Analytics tools available. If you have little or no programming background and want to get started with SAS, then this is the right course for you!This course will help you to become a good Data Analyst and a SAS programmer by giving you the hands-on knowledge and in-depth understanding of the SAS programming language and the SAS tool. It will help you master different techniques in SAS to manipulate your data. Youll learn how to work with SQL queries and generate reports from your data. More importantly, this course will provide all the content youre looking for to prepare for the SAS Base certification exam.By the end of this course, youll have a thorough understanding of the SAS concepts along with good hands-on experience of the SAS tool.About the AuthorEkta Saraogi has been a computer engineer by profession for the past 12 years. She started her career as Java developer and delivered the e2e SSO web portal for ARC, based out of USA. Her next venture was leading on a Java implementation and delivery for payment gateway solutions for AMEX UK. Following that, she leads an e2e solution design for BT TV for UKs British Telecom Plc; During every role she has carried out and every stint she had, one thing that always intrigued her was the power of data to drive business outcomesis driven by the right tools.Being hands-on with technology and driven by the quest to develop those right tools, she ventured into the field of Data Science to extract the best out of her technical and business functional experienceto drive and deliver cost-effective business analytics solutions for global businesses.She is now a freelancer and corporate/online trainer and mentors in Data Science with SAS, R, and Python. She works on various projects across different domains for global clients across the U.S. and UK. She has a few publications currently going on and is soon to be published in the Machine Learning and Data Science fields.
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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.