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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.
Once you make the payment, you will get the "Unique registration number". Click here to sign in and book for the courses. Email-id, Phone number and Registration number fields are mandatory to book for the courses. Once you book for the course, you will receive a confirmation mail from us.
To Cancel any past booking, choose “Your bookings” option.Click here and cancel the booking. Once you cancel the booking , you will receive the confirmation mail for the same.
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You can pay in two and three installments if you like. To know more please visit our ‘Payments’ page.
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.
We have been teaching Analytics to over 25,000 students - and all of them have been over a limited period of time. We understand that time is at a premium for many, so we have structured our courses to ensure that you cover everything that you need to learn Analytics within a stipulated time frame.
One of the biggest advantages that our students have is the Lifetime Access feature, which means that you will be able to retake as many classes as you wish even after you completed our course. This will definitely help you firm up your knowledge or refresh your understanding. A word of advice - do make time to practice on the datasets that we provide as part of our course material. This will help speeden up your learning and make you 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 SQL and Analytics in the next month.