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Engineering essentials

Data science and statistics for engineers

This two-day course will equip you with the skills to perform statistical analysis, interpret and visualise complex datasets and prepare for AI modelling.

2 days

Next available:

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

I truly believe AI will have a significant positive impact on the economy when applied to mechanical engineering applications. With this course, we strive to make the path to its adoption more clear to the participants.

- Ali Parandeh - Lead trainer

Course Location & Date
Data science and statistics for engineers
10% early bird discount applied
Hurry! 88 days left
Members:
£1,095.00 £985.50 Plus vat
Non Members:
£1,350.00 £1,215.00 Plus vat
Book now

Summary

This two-day course will equip you with the skills to perform statistical analysis, interpret and visualise complex datasets and prepare for AI modelling.

The increasing integration of AI into engineering is revolutionising the way we analyse data, make predictions, and optimise processes.  Successfully harnessing AI's power in the engineering applications require a specific skillset, including proficiency in Python, a deep understanding of AI methodologies and the ability to interpret complex engineering datasets.

This course will support you in gaining essential data science skills, tailored for engineering applications in SQL and Python. You'll enhance your analytical capabilities through statistical analysis and data interpretation, alongside learning to apply machine learning techniques to complex engineering problems.

Pre-requisite course

To book onto this course, you must complete Foundation Python.

Foundation Python for engineers

Who should attend?

This course is suitable for engineers from a broad range of engineering disciplines who are seeking to develop their skills in AI and data.

How will I benefit?

After the course you will be able to:

  • Use Python for effective data analysis and visualisation 
  • Analyse complex statistical methods applicable in engineering
  • Prepare data and implement machine learning models for engineering applications 
  • Make data-driven decisions in engineering projects
  • Build, train and validate AI models
  • Interpret the results of AI models
  • Understand the latest trends and advancements in AI
  • Receive detailed insight from expert instructors who can provide guidance on your AI challenges and career path
Contributes 14 CPD hours

Key topics

  • Fundamentals and advanced techniques for data analysis
  • In-depth methods for interpreting engineering datasets
  • Tools and techniques for effective data representation and visualisation
  • Practical workflow for building machine learning models in engineering contexts
  • 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 science and statistics for engineers.

  • OMD_9238

    Ali Parandeh CEng

    Ali Parandeh started his career as a mechanical engineering consultant at a large multinational consultancy. Once becoming a Chartered Engineer (CEng) member of the IMechE, he switched careers into building AI powered products and data analytic solutions.

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
  • Location:
    London
  • CPD Hours:
    14
  • UK-Spec:
    A, B, E

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Available dates for Data science and statistics for engineers

2 day course

London
23-24 Sep 2024 10% discount available until 23 July

Require a different date or location? Or want to train a group in house?

We can customise any of our courses and deliver them in-house, for your entire team. It could also save you money, especially as you would save travel time.

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Members: £1,095 + VAT

Non-members: £1,350 +VAT

New for 2024

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