Get Started with Predictive Analytics with R – Online Classes in Feb 2015

 

These live-classes cover practical analytics with R staring from the basics of R and modeling  and ending with advanced topics such as visualization techniques and related machine learning concepts, with emphasis on applying the theoritical basics to real-world scenarios.

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 5 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 R or statistical background is NOT required.

 

Course Content

Take the practical business analytics live-class to continue this journey into R Analytics. Full course covers the below additional topics:

  • Basics of Analytics & Predictive Modelling
    • Introduction to analytics
    • Different types of analytics
    • Modelling methodology
  • Basics of R
    • R Language basics
    • Data types and Vector operations
    • R programming Methods
    • R Studio IDE

 

  • Predictive Modelling
    • Supervised Learning
    • Unsupervised Learning
    • Clustering
    • Classification
    • Machine Learning Basics
  • 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

 

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

 

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