Practical Business Analytics with R, hands-on professional corporate training at Vijayawada, by Cenacle Research.

Practical Business Analytics with R, Data Science WeekEnd Classroom Training at Vijayawada 26-Dec-2015


  • Booking for One Seat

    Free Lunch + Tea

    Sale Date Ended

    INR 6000
    Sold Out
  • Booking for 5 Seats

    Group Discount + Free Lunch + Tea

    Sale Date Ended

    INR 27500
    Sold Out
  • Booking for 10 Seats

    Corporate Discount + Free Lunch + Tea

    Sale Date Ended

    INR 50000
    Sold Out

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About The Event

Business Analytics with R - weekend classroom training


A Hands-on Practical classroom training from Cenacle Research, for professionals working in data science and machine learning. This one day weekend training covers basics of analytics and jumps straight into the practical aspects of how to solve business problems with data science. Attendees will be working hands-on on analyzing large data sets with R, solving real-world business problems with machine learning techniques and learning to formulate production grade algorithms.


Training outline:


  1. Basics of R

    • R Language basics
    • Data types and Vector operations
    • Difference between traditional programming & R programming
    • R Studio IDE
  2. Predictive Modelling

    • Supervised Learning
    • Unsupervised Learning
    • Clustering
    • Classification
  3. R for Analytics

    • Regression
    • K-Means
    • Decision Trees
    • Random Forests
    • Visualization methods
    • Time-series Analysis
    • Web scraping methods
    • Connecting Facebook to R
    • Text Processing Techniques
  4. Hands-on session: Working with Larget datasets in R

    • How to load and process large datasets (>1 GB) in R?
    • Techniques of large scale exploratory analysis
    • Dimensionality Reduction
    • Professional report generation
  5. Hands-on session: Real-world business case-studies

    • 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?


Who should attend this:

Working professionals, Data Science practitioners, students aspiring to learn Machine-learning



  • Attendees should bring their own Laptops (min 4GB RAM configuration)


Demo Class Video [Excerpt from previous classes]


Venue Map