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Business Analytics with R

OFFER: Get Statistics Essentials absolutely free! Limited Period Offer.

An Online course covering Techniques of Regression, Predictive Analytics, Data Mining, Sentiment Analysis, etc.

Upcoming Batches : (show?)

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About The Course

This course is designed for professionals who aspire to learn 'R' language for Analytics. 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' programming 
2. Explore data manipulation with functions like grepl(), sub(), apply(),etc. 
3. Apply various Data Importing techniques in R 
4. Perform exploratory Data Analysis 
5. Learn where to use functions- cor(), llist(), hclust(), lm(), glm(), etc. 
6. Apply Data Visualisation to create fancy plots 
7. Understand Machine Learning (ML) Techniques 
8. Apply Data Mining and understand Decision Trees and Random Forests 
9. Implement k-means clustering algorithm to perform Text Analysis 
10. Study Association Rule Mining to predict buyers' next purchase 
11. Explore and understand Sentiment Analysis 
12. Understand the concept of Regression 
13. Implement Linear and Logistic Regression and understand Anova 
14. Apply Predictictive Analytics to predict outcomes 
15. Work on a real life Poject, implementing R Analytics to create Business Insights

Who should go for this course?

This course is meant for all those students and professionals who are interested in working in analytics industry 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. This is a must to learn course for professionals from Mathemetics, Statistics or Economics background and interested in learning Business Analytics.

Why Learn Business Analytics with R?

'Business Analytics with 'R' at Edureka will prepare you to perform analytics and build models for real world data science problems. It is the world’s most powerful programming language for statistical computing and graphics making it a must know language for the aspiring Data Scientists. 'R' wins strongly on Statistical Capability, Graphical capability, Cost and rich set of packages. The following blog will help you understand the significance of R Analytics training: 

What are the pre-requisites for this Course?

The pre-requisites for learning 'Business Analytics with R' include basic statistics knowledge. We provide a complimentary course "Statistics Essentials for R" to all the participants who enroll for the Business Analytics with R Training. This course helps you brush up your statistics skills.

How will I execute the Practicals?

For doing your practicals, you would need to install R set-up or R-Studio on your system. The step-wise installation guides for setting up the environment on various operating systems are present in the LMS. In case you come across any doubt, the 24*7 support team will promptly assist you.

What if I miss a class?

You will never lose any lecture. You can choose either of the two options: 
1. View the recorded session of the class available in your LMS. 
2. You can attend the missed session, in any other live batch.

What if I have queries after I complete this course?

Your access to the Support Team is for lifetime and will be available 24/7. The team will help you in resolving queries, during and after the course.

How soon after Signing up would I get access to the Learning Content?

Post-enrolment, the LMS access will be instantly provided to you and will be available for lifetime. You will be able to access the complete set of previous class recordings, PPTs, PDFs, assignments. Moreover the access to our 24x7 support team will be granted instantly as well. You can start learning right away.

Is the course material accessible to the students even after the course training is over?

Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

Who are the Instructors?

All our instructors are working professionals from the Industry and have at least 10-12 yrs of relevant experience in various domains. They are subject matter experts and are trained by Edureka for providing online training so that participants get a great learning experience.

Do you provide placement assistance?

Edureka is the largest online education company and lots of recruitment firms contacts us for our students profiles from time to time. Since there is a big demand for this skill, we help our certified students get connected to prospective employers. We also help our customers prepare their resumes, work on real life projects and provide assistance for interview preparation. Having said that, please understand that we don't guarantee any placements however if you go through the course diligently and complete the project you will have a very good hands on experience to work on a Live project.

I have enrolled for a batch but I am unable to continue in the same batch. Can I reschedule it to a future date/batch?

Yes, it is possible. You can enroll now and can reschedule your classes in Future. You have complete Flexibility on this at Edureka.

Can I enroll now and take LIVE classes after a month or later?

Yes, you can enroll in the early bird batches and may join the classes later.

Can I get the recorded sessions of a class from some other batches before attending a live class?

Yes, this can be done. Moreover, this ensures that when you will start with your actual batch, you will be in a better state to grasp the concepts.

Which Case-Studies will be a part of the Course?

Towards the end of the Course, you will be working on a live project. You can choose any of the following Problem Statements as your Project work :

Project Title: Census Data Analysis
Industry : Government Dataset
Description : Analyze the census data and predict whether the income exceeds $50K per year. Follow end to end modelling process involving:
1. Perform Exploratory Data Analysis and establish hypothesis of the data. 
2. Test for Multicollinearity, handle outliers and treat missing data. 
3. Create training and validation datasets using Stratified Random Sampling(SRS) of data. 
4. Fit Classification model on training set (Logistic Regression/Decision Tree) 
5. Perform validation of the models (ROC curve, Confusion Matrix) 
6. Evaluate and freeze the final model.

Project Title: Sentiment Analysis of Twitter Data
Industry : Social Media
Description : A sports gear company is planning to brand themselves by putting their company logo on the jersey of an IPL team. We assume that any team which is more popular on twitter will give a good ROI. So, we evaluate two different teams of IPL based on their social media popularity and the team which is more popular on twitter will be chosen for brand endorsement. The data to be analyzed is streamed live from twitter and sentiment analysis is performed on the same. The final output involves a comparable visualization plot of both the teams, so that the clear winner can be seen. The following insights need to be calculated :
1. Setup connection with twitter using twitteR package. And perform authentication using handshake function.
2. Import tweets from the official twitter handle of the two teams using SearchTwitter function.
3. Prepare a sentiment function in R, which will take the arguments and find its negative or positive score.
4. Score against each tweet should be calculated.
5. Compare the scores of both the teams and visualize it.

Can I work on my own Use-Case?

Sure, you can. You can either choose one of the Use-Cases from the Edureka Repository or create your own.

Drop Us a Query:

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.

  • +  Assignments: 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 lifetime access to the Learning Management System (LMS). The Class recordings and presentations can be viewed online from the LMS. The installation guides, sample codes and project documents are available in downloadable format in the LMS. Also, your login will never get expired.

  • +  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.