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The world of analytics is ever growing. Knowing just one tool and technique will not help you in the long run. Tools and techniques used to analyze data vary across industries and domains. Learning more than one tool will provide you with competitive advantage and a high scope of growth in the field of analytics.
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R and SAS perform similar functions. It depends on companies and their respective clients as to which tool do they prefer using. Unlike SAS, R is an open source tool.
Open source tools are the ones that perform a very specific task, in which the source code is openly published for use and/or modification from its original design, free of charge. Open source tools are typically created as a collaborative effort in which programmers improve upon the code and share the changes within the community, and are usually available at no charge under a license defined by the Open Source Initiative.
Teaching Analytics in 30 days is easy to do. We’ve been teaching over hundred corporate clients and we’ve seen how they are able to perform well.The key to understanding analytics though is practicing. Our course will require you to do regular assignments with which you will be industry ready in no time.
If you need a longer duration you can break up your sessions by attending relevant modules in different batches. Doing this though will prevent you from completing your course in 30 days and your course completion certificate will be issued only once you complete all modules.
For example you can choose Excel and R – in the first month followed by SAS and Analytics in the next month.