Prescriptive Analytics Training in Brighton

Prescriptive Analytics Training in Brighton

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.

NobleProg onsite live Prescriptive Analytics training courses are aimed at business analysts and Business Intelligence (BI) teams .

Prescriptive Analytics training is available in various formats, including onsite live training and live instructor-led training using an interactive, remote desktop setup. Local Prescriptive Analytics training can be carried out live on customer premises or in NobleProg local training centers.

Brighton

3rd Floor, Queensberry House 106 Queens Road
Brighton, ESX BN1 3XF
United Kingdom
East Sussex GB
Brighton
This centre occupies a prominent location on Queens Road which links Brighton station to the Churchill Square shopping centre and the seafront. Queensberry...Read more

Prescriptive Analytics Course Events - Brighton

Code Name Venue Duration Course Date PHP Course Price [Remote / Classroom]
matlabpredanalytics Matlab for Predictive Analytics Brighton 21 hours Tue, 2018-02-06 09:30 £3300 / £4000
matlabprescriptive Matlab for Prescriptive Analytics Brighton 14 hours Tue, 2018-02-06 09:30 £2200 / £2700
matlabprescriptive Matlab for Prescriptive Analytics Brighton 14 hours Mon, 2018-04-16 09:30 £2200 / £2700
matlabpredanalytics Matlab for Predictive Analytics Brighton 21 hours Wed, 2018-05-02 09:30 £3300 / £4000
matlabprescriptive Matlab for Prescriptive Analytics Brighton 14 hours Mon, 2018-06-18 09:30 £2200 / £2700
matlabpredanalytics Matlab for Predictive Analytics Brighton 21 hours Tue, 2018-06-26 09:30 £3300 / £4000

Course Outlines

Code Name Duration Outline
matlabpredanalytics Matlab for Predictive Analytics 21 hours

Predictive analytics is the process of using data analytics to make predictions about the future. This process uses data along with data mining, statistics, and machine learning techniques to create a predictive model for forecasting future events.

In this instructor-led, live training, participants will learn how to use Matlab to build predictive models and apply them to large sample data sets to predict future events based on the data.

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

  • Create predictive models to analyze patterns in historical and transactional data
  • Use predictive modeling to identify risks and opportunities
  • Build mathematical models that capture important trends
  • Use data to from devices and business systems to reduce waste, save time, or cut costs

Audience

  • Developers
  • Engineers
  • Domain experts

Format of the course

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

Introduction
    Predictive analytics in finance, healthcare, pharmaceuticals, automotive, aerospace, and manufacturing

Overview of Big Data concepts

Capturing data from disparate sources

What are data-driven predictive models?

Overview of statistical and machine learning techniques

Case study: predictive maintenance and resource planning

Applying algorithms to large data sets with Hadoop and Spark

Predictive Analytics Workflow

Accessing and exploring data

Preprocessing the data

Developing a predictive model

Training, testing and validating a data set

Applying different machine learning approaches ( time-series regression, linear regression, etc.)

Integrating the model into existing web applications, mobile devices, embedded systems, etc.

Matlab and Simulink integration with embedded systems and enterprise IT workflows

Creating portable C and C++ code from MATLAB code

Deploying predictive applications to large-scale production systems, clusters, and clouds

Acting on the results of your analysis

Next steps: Automatically responding to findings using Prescriptive Analytics

Closing remarks

matlabprescriptive Matlab for Prescriptive Analytics 14 hours

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

Audience

  • 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

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

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