Essentials of Applied Predictive Analytics (E-Learning)

Dakshinamurthy Kolluru

Course Description

If you believe that an ability to analyze, forecast and predict using data will help you grow well in your current job, then this 40-hour mentor-led online course is the easiest way to achieve that. Professionals from a diverse set of verticals and horizontals like Marketing, HR, Engineering, Banking, Pharmaceutical, Healthcare, Retail, Telecom, Manufacturing, Data Warehousing, etc. are finding that decisions cannot be taken intuitively anymore. Data is becoming the biggest source of knowledge, differentiation and progress. This course teaches robust and systematic methods that enable gaining insights from data just as a specialist does. At the end of the program, the participants are able to answer business questions such as "who is likely to buy a new product amongst the existing customers", "which customers are most likely to default on a loan or an insurance payment" and "of a given set of transactions, which are most likely to be fraudulent". This course thoroughly trains candidates on the following techniques:
  • Pre-processing Techniques: Graphical Visualization, Handling Missing Values, Data Standardization
  • Predictive Models: Decision Trees, Linear Regression, Logistic Regression
  • Model Selection Techniques: Concepts of Overfitting, Bias and Variance; Cross Validation; Error metrics like Accuracy, Precision and Recall.
  • Introduction to solving analytics problems using R.

Video Lectures

Essentials of Applied Predictive Analytics

on Dec 20, 2013
Votes: 4
Views: 1,090
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