Objectives:

• Assess data analytics opportunities and decisions
• Realize the levels of Data Analytics
• Recognize the disruptive role of the Data Analytics Revolution
• Understand digital data framework and workflow in the energy sector
• Apply operational and advanced analytics to business value
• Utilize the paradigm of “The Data is the Model”

Main Target Group:

• Energy, Production, and Process Engineers
• Data and Information Analysts
• Professionals in Operation Monitoring and Control Centers
• Compliance and Operational Excellence Officers
• Senior Corporate Leaders, Managers, Department Heads, and Supervisors in the Energy and Power Sector
• Technologists and Researchers in the Energy Arena
• Professionals working in energy and power generation, industrial plants, and refineries

Why choose this Training Course?
Understanding the interactive components of the energy system and their applications can open new horizons for new insights that descend barriers and create sustainable, quantum-leap progress in industrial performance and revenues. One of the strategies to recognize patterns, identify explanatory features’ relationships, test scenarios for comprehensive calculated decisions, and make foresight for energy functions is advanced digital data analytics. This training course talks about the role of digital data analytics in the energy arena to provide better clarity, accuracy, and a holistic end-to-end view of the multiple co-evolving functions. Thus, the participants will learn digital knowledge and skills to apply new and more advanced data analytics to gain actionable insights from raw data to draw relationships and trends that were previously dismissed as irrelevant or nonexistent to unlock technical, economic, health, safety, security, and environmental performance potential. Also, it offers practical aspects for the application of descriptive, diagnostic, predictive, prescriptive, and cognitive data analytics.

Topics:

Day 1

• Energy System Paradigm
• Data Revolution in the Energy Business
• Data Analytics Concepts and Techniques
• Operational Analytics: Descriptive and Diagnostic for Energy
• Advanced Analytics: Predictive, Prescriptive, and Cognitive for Energy

Day 2

• Coexistence of Implicit & Explicit Physics Models
• Internet of Energy
• Moore’s Law
• Metcalf’s Law
• Energy Big Data Analytics
• Energy Plant Information Asset Analytics

Location: online and onsite

Duration: 2 days or alternatively 2 weeks, 8 hours per week (available only online)

Cost:

Online: It is per day per person
special group enrolment price: get a 20% discount if you enroll with at least two colleagues
onsite: + mobilization cost

Certificate:
Upon completion of the course, PlutosTech grants a verified digital certificate of completion to the delegates.

Format:

This online training course will utilize a variety of proven online learning techniques to ensure maximum understanding, comprehension, and retention of the information presented. The training course is conducted in the comfort of any location of your choice