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Data engineering for mechanical engineers

This comprehensive course covers the essentials of databases, data processing, and cloud computing, along with specialised topics such as big data handling, data pipelining, and database design. You will delve into the world of IoT data, learn to design event-driven data systems, and understand the security best practices when working with data.

2 days

Members: £1,095 + VAT
Non-members: £1,350 + VAT
New for 2024

This course teaches engineers how to transform raw data to unlock its potential, build data storage solutions and handle streaming data coming from IoT sensors in the era of Industry 4.0.

- Ali Parandeh - Lead trainer

Course Location & Date
Data engineering for mechanical engineers

N/A

Members:
£1,095.00 Plus vat
Non Members:
£1,350.00 Plus vat

Summary

This comprehensive course covers the essentials of databases, data processing, and cloud computing, along with specialised topics such as big data handling, data pipelining, and database design. You will delve into the world of IoT data, learn to design event-driven data systems, and understand the security best practices when working with data.

As the world of mechanical engineering evolves, embracing the digital revolution with Industry 4.0, IoT, and big data becomes not just an advantage but a necessity. This course is designed to equip you with the essential skills to step beyond traditional tools like Excel, enabling you to manage and leverage measurement data like never before.

Attendance of this course provides skills to efficiently collect, process and analyse data from a variety of sources using cutting edge tools and methodologies. Attendees will familiarise themselves with data warehousing and data streaming and develop practical skills in Python scripting, working in terminal, writing SQL queries and executing comprehensive data wrangling as well as the use of webservices. 

This course is an essential step for mechanical engineers ready to harness the power of data engineering to revolutionise their approach to mechanical design, maintenance, and innovation.

Enhancing their capability to design, implement and maintain sophisticated data systems in today’s competitive job market, where data proficiency is a key asset in engineering roles.

Pre-requisite course

This course assumes basic experience with Python and Python Package Manager. You can complete our Foundation Python course to prepare for this course.

Foundation Python for engineers

Take your data expertise further

Explore Data science and AI modelling in mechanical engineering applications.

Data science and statistics

Predictive AI modelling

Software requirements: Please ensure you are able to download, Docker, Python and Visual studio code.

Who should attend?

This course is ideal for:

  • Mechanical engineers looking to enhance their data handling capabilities and adapt to the digital transformation in engineering.
  • Professionals in the mechanical engineering field seeking to leverage data engineering techniques for better system design, implementation, and maintenance.
  • Individuals interested in expanding their skill set beyond traditional analysis tools like Excel, to include Python programming, advanced SQL, and data wrangling with modern tools and technologies.

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How will I benefit?

After the course you will be able to:

  • Manage and process large datasets beyond the capacity of traditional tools like Excel.
  • Gain proficiency in Python for data processing, advanced SQL queries, and the use of key data libraries such as NumPy and pandas.
  • Work with diverse data forms and sources, including IoT sensors and online APIs.
  • Understand the data pipelinging workflow.
  • Understand the pitfalls of data processing and issues that may go under the radar.
  • Design, model and create databases.
  • Understand how to design data warehouse system architecture-physical and logical.
Contributes 14 CPD hours

Key topics

  • Fundamentals of data engineering in the context of engineering systems.
  • Python programming for data engineering, including libraries like NumPy and pandas.
  • Advanced SQL operations for data storage and analysis.
  • Real-time data collection from IoT sensors and their integration with Azure services.
  • Techniques for complex data retrieval and management.
  • Working with different types of engineering datasets.
  • Strategies for efficient problem-solving in scripts.
 

 

Mapped against UK- SPEC competencies: A, B and E

  1. Knowledge and understanding - For Chartered Engineers: ‘Use a combination of general and specialist engineering knowledge and understanding to optimize the application of existing and emerging technology’ For Incorporated Engineers: ‘Use a combination of general and specialist mechanical engineering knowledge and understanding to apply existing and emerging technology’
  2. Design and development of processes, systems, services and products - For Chartered Engineers: ‘Apply appropriate theoretical and practical methods to the analysis and solution of mechanical engineering problems’ For Incorporated Engineers ‘Apply appropriate theoretical and practical methods to design, develop, manufacture, construct commission, operate, maintain, decommission and re-cycle mechanical engineering processes, systems, services and products’
  3. Professional commitment - For Incorporated and Chartered Engineers: ‘Demonstrate a personal commitment to professional standards, recognising obligations to society, the profession and the environment’

Meet our trainers

These trainers regularly teach Data engineering for mechanical engineers.

  • OMD_9238

    Ali Parandeh CEng

    Ali Parandeh is a Chartered Software Engineer (CEng), Microsoft Azure Certified Developer and Google Cloud Professional Data Engineer. With over a decare of experience in engineering consulting, Ali specialises in teaching Python programming to engineers, combining deep technical expertise with practical, hands-on instruction that consistently earns 90%+ satisfaction ratings.

In-house and bespoke training

Tell us your team's CPD needs and we'll come to you with a specialised training programme, customised for your engineering sector.
Contact our advisors if you need help finding the most appropriate training for your team.

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At a glance

  • Duration:
    2 days
  • CPD Hours:
    14
  • Pre-requisite:
    To book onto this course, you must have prior knowledge of Python.
  • UK-Spec:
    A, B, E

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