• Analytics Tools: R, Tableau
  • Duration = 3 Months
  • Certificate Program
  • Mode - Classroom / Online

Purpose : Availability, reliability, Safety of the asset is key performance parameters in asset intensive industries like Oil & gas, Petrochemical, Chemical and Manufacturing Industries. Needless to say these are very capital intensive asset so at most care need to be taken along with productivity from these assets.

So just having the data of this assets and its allied process is not important but finding out and analyzing the industrial data, sensor data and warnings to come out with pattern which requires a predictive analytics solution to get real-time insights of equipment health is important. This allows plant operations and maintenance personnel to make a informed decisions using pattern outcomes. Pattern assesses the risk and potential consequences associated with each monitored asset. This can also be used to better prioritize capital and operational expenditures. As a result, the planning for maintenance and the operation of equipment is more reliable and safe and avoid failure.

Asset management training covers the machine & equipment health, reliability Management and Maintenance Optimization to help asset-centric companies to increase uptime, decrease costs and reduce operational risks. Learn how you can unlock your data value.

Machine & Equipment Health: - Get a unified, complete, and accurate view of operations

Reliability Management: - Detect and diagnose equipment problems before they happen and reduce unplanned downtime and maintenance costs.

Maintenance Optimization: - Use data to rethink how maintenance is planned and executed.

Module 1 Introduction to Analytics & Application of Analytics
Module 2 Basics of Analytics I (Descriptive Statistics)
Module 3 Basics of Analytics II (Inferential Statistics)
Module 4 Linear Regression
Module 5 Logistic Regression
Module 6 Clustering
Module 7 Decision Tree
Module 8 Time Series Modelling
Module 9 Predictive modelling techniques (Practical)
Module 10 Maintenance Strategy Optimization(Practical)
Module 11 Asset Lifecycle cost Prediction(Practical)
Module 12 Data Visualization
Module 1 Introduction to Analytics & Application of Analytics
Module 2 Basics of Analytics I (Descriptive Statistics)
Module 3 Basics of Analytics II (Inferential Statistics)
Module 4 Linear Regression
Module 5 Logistic Regression
Module 6 Clustering
Module 7 Decision Tree
Module 8 Time Series Modelling
Module 9 Predictive modelling techniques (Practical)
Module 10 Maintenance Strategy Optimization(Practical)
Module 11 Asset Lifecycle cost Prediction(Practical)
Module 12 Data Visualization

Upcoming Batches

Batch Code Start Date End Date Timings Venue Days in week
No Upcoming batches

Training & Supervised Learning Programs Support: -

Faculty: -
Highly experienced industry practitioners
Case based learning model: -
Real industry problems and case studies with live data sets
Training methodology: -
Instructor-led, coupled with case studies, videos, management games and role plays.
Industry immersion session: -
Insights from business analytics practitioners from leading organizations.
Dedicated support: -
Additional 12 hours extended handholding to help in queries, assignments, project implementation *valid for 3 months
Opportunity to work on Live Industry Projects
90 days Internship for deserving candidates
Placement assistance: -
Placement opportunities, Premium packages from job portals, Interview FAQs, guidance for resume building
Chance to be the part of Defour community
Knowledge Sharing Platform through Yearly Membership
Best performer eligible for an accolade
Certification