Data Analytics Training – Pilot Guided Projects

ABOUT THE TRAINING COURSE

With the new era of Industry 4.0, manufacturing and process industry has seen a wide range of acceptance for the new technologies – starting from Industry automation to data acquisition and ultimately implementing data-driven technologies to realize various levels of benefits. With these new technologies coming in, it is evident that not all user groups are at the same level of understanding. 

Industry 4.0, which combines digital and physical advanced technologies, can potentially transform the chemicals industry, itself the backbone of many end-market industries. Through the dual areas of business operations and growth, these technologies enable "smart" supply chains and factories, as well as create new business models.

To combat this, TÜV SÜD & Tridiagonal solutions has created a training program focused on minimizing the gap between the tech heavy solutions and plant Engineering and operators.

This hands-on training and certification program is structured such a way that, Participant can avail program independently as modules or as combined together.

Duration: 1-day course

WHAT WILL YOU LEARN FROM THE COURSE?

Topics covered under this course includes:

• Implementing offline models
  Candidates should be able to:
  o Outline and describe the key steps in the consulting process:
  o Diagnosing the problem
  o Formulating the problem statement
  o Analysing the problem
  o Developing the model
  o Identifying the best model
  o Proposing recommendations
  o Assisting with implementation
• Creating Business value
  o Candidate should be able to create a business case – for showcasing the ROI, business impact and chemical 4.0 implementation strategy

Deliverables:

• 60 hours (Open Literature and shared reference contents – data and python codes)
• Demo on Seeq software
• Templates for problem solving
• Demonstration of used cases on Seeq
• Case Studies for practice
• Learner’s Guide/Training Material
• Course completion certificate

WHAT IS THE COURSE METHODOLOGY?

Participants will learn through lectures, case studies, group exercises and discussions.

Exam: Theory (MCQs) & Practical - 1.5 hr

WHO SHOULD TAKE THE COURSE?

Relevant Degree in Science, Technology, Engineering and Mathematics (“STEM”) subjects, including but not limited to:

• Chemical Engineering/ Computer Science/
• Electrical Engineering/ Mechanical Engineering/
• Information and Communications Technology/
• Mathematics/ Physics

Work Experience:

• At least 3 years of job experience relating to process/production or quality control
• Domain Expertise: At least 4 years of job experience relating to the manufacturing sector.
• Fundamentals of Python

WHO IS THE COURSE ADVISOR?

The course content and structure are designed by the domain experts from TÜV SÜD.

With immense experience and knowledge in the relevant standards, our team of product specialists and technical experts at TÜV SÜD, developed the course content based on current business landscape and market requirements.