Top 8 Reasons to learn SAS Data Analytics Now During this Coronavirus Pandemic.
As whole India is locked due to Coronavirus till 14th April’20. And if you are data aspirant and previously you were not getting time to upskill yourself, taking Sankhyana’s online / live-web Base SAS & Advance SAS (with Global SAS Certification) is a great way to enter in the emerging SAS Data Analytics field.
Crores of working professionals are working from homes. People are finding themselves confined at home with plenty of hours to fill, so why not utilize them productively to learn the best data analysis tool in this data-driven world?
Below are the top 8 Reasons to learn SAS Data Analytics:
1. You will be impressed if you try to search for “SAS Jobs” online. Your search is sure to turn up many current job listings that require a variety of SAS expertise. Since SAS emerges as a key research data analysis tool, it is in demand in the market. Every company is looking for SAS resources.
2. The big advantage of learning SAS is that it is a fourth-generation language. It is fun learning SAS. It provides a GUI and an easy way to access multiple applications. It relies on user-written scripts or “programs” that are processed when requested to know what to do. Because it is a script-based application, the key to being successful using SAS is learning the rules and tricks of writing scripts. It works with large data and generates graphs and reports.
3. SAS can read data files created by other statistical packages. SAS allows data files created by SPSS, Excel, Minitab, Stata, and others to be incorporated into a SAS program directly or through file conversion software. Thus, to experienced users of these statistical packages, SAS presents no threat at all because it is possible to convert data files created by these packages into a SAS file format.
4. Learning SAS will not make you abandon data formats you previously mastered or managed. These formats include those generated and supported by database software such as Oracle, DB2.
5. SAS is versatile and powerful enough to meet your needs in data analyses. SAS is flexible, with a variety of input and output formats. It has numerous procedures for descriptive, inferential, and forecasting types of statistical analyses. Because the SAS System is an integrated system with similar architecture shared by modules or products, once you master one module, you can easily transfer the knowledge to other modules.
6. There is a worldwide electronic network of SAS users that are easy to access. Free SAS resources are available at your fingertips, and you can easily connect with many SAS experts who deliberately and willingly share their SAS knowledge online.
7. SAS solutions are built on a proven intelligence architecture that is open & scalable, allowing seamless integration of processes & platforms. It relies on user-written scripts or “programs” that are processed when requested to know what to do. Because it is a script-based application, the key to being successful using SAS is learning the rule and tricks of writing scripts. It works with large data and generates graphs and reports.
8. SAS keeps itself updated with the latest technology. It can easily be integrated, and this enhances its usability and flexibility as it can easily interlink with many technologies.
Sankhyana's specialized training courses are designed to help you Master’s in Data Analytics domain. Our courses feature online / live-web virtual based and real-world examples to ensure you get the hands-on experience and relevant skills you need to break out of the rut, grow your career and enjoy your work once again. Additionally, if you enroll before April 5th & April 20th, you can save up to 15% on our online / live-web training program.
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