Matlab for Prescriptive Analytics Training Course


Prescriptive analytics is a branch of business analytics, together with descriptive and predictive analytics. It uses predictive models to suggest actions to take for optimal outcomes, relying on optimization and rules-based techniques as a basis for decision making.

In this instructor-led, live training, participants will learn how to use Matlab to carry out prescriptive analytics on a set of sample data.

By the end of this training, participants will be able to:

  • Understand the key concepts and frameworks used in prescriptive analytics
  • Use MATLAB and its toolboxes to acquire, clean and explore data
  • Use rules-based techniques including inference engines, scorecards, and decision trees to make decisions based on different business scenarios
  • Use Monte Carlo simulation to analyze uncertainties and ensure sound decision making
  • Deploy predictive and prescriptive models to enterprise systems


  • Business analysts
  • Operations planners
  • Functional managers
  • BI (Business Intelligence) team members

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Course Outline

To request a customized course outline for this training, please contact us.

QlikView for Business Users Training Course

Introduction to QlikView

Overview of QlikView Features

Installing and Configuring QlikView

  • Setting User Preferences
  • Configuring Document Properties

Creating Visualizations in QlikView

  • Managing Data Sources
  • Creating and Modifying Objects

Managing QlikView Sheets and Files

  • Working with Sheets in QlikView
  • Exporting QlikView Data to Excel

Creating Summaries and Charts in QlikView

  • Sorting and Filtering QlikView Data
  • Creating and Modifying Charts

Building and Manipulating Pivot Tables in QlikView

Using Your QlikView Data for Decision Making


Summary and Conclusion

Control Flow Structures in Python

Decision Making Process in Python Programming


  • Students should have basic knowledge of computers and internet. They should have idea about python indentations only.


Python is the fastest growing language in terms of developers, libraries and application that it can be useful. It could be Machine Learning, Artificial Intelligence, Web Development, anything that you can think, Python has always the best choice for programmer.

python is general purpose, high level language with easy semantics. In python indentation has used instead of curly braces to basically describe the block of code. Initially Python was not so popular as it was slower than other programming language but as rise of Artificial Intelligence and Machine Learning Python become lot of popular now a days.

This course is intended for learners, who want to know details about the Python Decision making process.

This course will very useful if you are eager to get knowledge about how any programming language can be implements the applications where various kind of selection or branching decisions are required to be taken.

In this course you will be learn concepts like Sequential Control Structure, Decision Control Structure and Repetitive Control Flow.

In this course learner not only be able to define the various concept like Selection Statements (if Statement, if–else Statement, if—elif—else Statement), Looping control statements (while loop, for loop) and Looping Control Statements (break Statements, continue Statements and pass Statement) but also they can implements these concept in real life applications using Python programming.

I am wishing you a very happy learning. Best of Luck!!!!!

Who this course is for:

  • Beginners to python programming and web developments.

Course content

4 sections • 16 lectures • 1h 50m total length