Advanced Business Case Studies with R – Online Classes in Feb 2015

 
 Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods. R is one of the prominent open-source statistical modelling tools these days.

These live-classes cover advanced practical analytics with R covering advanced topics such as visualization methods, machine learning concepts and the application of predictive analytics with various real-world business cases.

These live-classes happen online during the mentioned schedule, with 2 hours per day on Friday and Saturday at the mentioned timings. With 4 hours per week and 4 weeks.  Please check the course page for more details on the date and timings.

Who should attend this

Data scientists who are looking for gaining practical insight and first hand industry problem-solving experience. Previous experience of working in R is mandatory.

 

Course Content

Take the business analytics case-studies live-class to initiate your journey into R Analytics. Full course covers the below additional topics:

  • Applied Analytics with R
    • Regression
    • K-Means
    • Decision Trees
    • Random Forests
    • Visualization methods
    • Time-series Analysis
    • Web scraping methods
    • Connecting Facebook to R
    • Text Processing Techniques
  • Real-world business cases:
    • Customer Churn Analysis:
      • How to identify the customers who will leave your service
    • Market Basket Analysis:
      • What are the items customers are buying more frequently
    • Credit Risk Modelling:
      • How to identify the customer who are likely to default a bank loan?
    • Sentiment Analysis:
      • How customers are feeling about your brand in social media?

 

Write to us if you are interested in the full live-class sessions.

 

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