Business Analytics with R

A Practical Online course designed to make you an expert in Business Analytics & Intelligence.

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About The Course

This course is designed for professionals who aspire to learn 'R' language for Analytics. Practical approach of learning has been followed in order to provide a real time experience and make you think like an analyst. The course starts from the very basics like: Introduction to R programming, how to import various formats of Data, manipulate it, etc to some advanced R topics like: Data Mining Technique, performing Predictive Analysis to find optimum results based on past data, Data Visualisation using R Commander, Deducer, etc.

Course Objectives

After the completion of 'Business Analytics with R' at Edureka, you should be able to:

1. Understand the fundamentals of 'R'.

2. Get a broad insight into analytics and acquire skills in methodologies and techniques.

3. Get familiar with R Analytics as a career option with practical knowledge of some of the most in-demand techniques like Predictive Analytics, Association Rule Mining to perform prediction on the buyer's next purchase, Data Visualisation to plot, etc.

Who should go for this course?

This course is meant for all those students and professionals who are interested in working in industry analytics and are keen to enhance their technical skills with exposure to cutting-edge practices. This is a great course for all those who are ambitious to become 'Business Analysts' in near future!

Pre-requisites

The pre-requisites for learning 'Business Analytics with R' include basic mathematics and good analytical skills. The good news is that - as this is an applied course, the focus will be on real-world case studies rather than just the theory.

Why Learn Business Analytics with R?

'Business Analytics with R' at Edureka will prepare you to:

1. Learn R programming language and use it in analytical projects including multiple industrial domains and scenarios.

2. Become an R user and learn to think like a data scientist/business analyst.

3. Get exposure into the latest analytics techniques including forecasting, social network analytics and text mining.

4. Add-on to your existing analytics knowledge and methodology.

5. Acquire advanced knowledge of analytics in web analytics, social media analytics and Industry norms.

COURSE REVIEWS

Good example on PIG Latin in the class and great support on the tickets with very good and fast response! Thank You edureka!

Going Good Edureka. Nice sessions with an ultimate support of 24*7 thanks for everything.

It is a very good experience to learn from edureka!.Faculty seems excellent in sharing real world experiences.I do not feel even for single moment that i am l...

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Class is taken quite professionally without focusing much on spoon feeding stuff, I like it pretty much since am a java developer. Instructor explained things...

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Edureka aptly named gives the students a "Eureka" Moment during the course. Learning is a world to explore and Edureka provides us with the navigation maps. I...

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Course Features:

  • +  Online Classes: 24 Hrs
  • There will be 12 instructor led Interactive online classes during the course. Each class will be of approximately 2 hours and will happen at the scheduled time of the batch you choose. You have the flexibility to reschedule your class in a different batch if you miss any class. Class recordings will be uploaded in the LMS after the class. The access to class recordings is Lifetime.

  • +  Lab Hours:  30 Hrs
  • During the classes various hands-on will be shown on different datasets. Each class will be followed by practical assignments which can be completed before the next class. These assignments will help you to groom different consistent as well as faulty datasets. Our 24x7 expert support team is available to help through email, phone or Live Support for any issues you may face during the Lab Hours.

  • +  Project:  25 Hrs
  • Towards the end of the course, you will be working on a project where you be expected to implement Data Import, Manipulation, Exploration, and so on and finally visualise the analysis. You may select any project topic as per your choice.

  • +  Lifetime Access
  • You get a lifetime access to the Learning Management System (LMS). All the class recordings, installation guides, class presentations, sample codes, project documents are available in downloadable format in the LMS and your login never expires.

  • +  24 x 7 Support
  • We have 24x7 online support team available to help you with any technical queries you may have during the course. All the queries are tracked as tickets and you get a guaranteed response from a support engineer. If required, the support team can also provide you live support by accessing your machine remotely. This ensures that all your doubts and problems faced during labs and project work are clarified round the clock.

  • +  Get Certified
  • Towards the end of the course, you will be working on a project. Edureka certifies you as a Data Scientist based on the project reviewed by our Expert Panel. Anyone certified by Edureka will be able to demonstrate practical expertise in Business Analytics and R Programming.