Engineering essentials

Data science and statistics for engineers

Confidently visualise and interpret complex datasets, apply statistical methods and hypothesis testing, and leverage machine learning techniques for building several models from data.

2 days

Next available:

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

This course is designed for engineers who want to understand the foundational concepts in descriptive and inferential statistics, AI modelling, data refinement and visualisations in an increasingly data-driven world.

- Ali Parandeh - Lead trainer

Course Location & Date
Data science and statistics for engineers
10% early bird discount applied
Hurry! 271 days left
Members:
£1,095.00 £985.50 Plus vat
Non Members:
£1,350.00 £1,215.00 Plus vat

Summary

Confidently visualise and interpret complex datasets, apply statistical methods and hypothesis testing, and leverage machine learning techniques for building several models from data.

In today's data-driven engineering landscape, the ability to effectively use data science techniques is a career defining skill for engineers. 

This course is designed to equip engineers with hands-on experience in Python, SQL, and databases. Delegates will also learn to perform data analysis and create impactful visualisations on a variety of datasets. 

The course covers areas such as mathematical concepts, statistical hypothesis testing, descriptive and inferential statistics, and the art of storytelling with data. This enables engineers to not only extract meaningful insights from data but also communicate trends and patterns.

Equipped with these skills, engineers will be better positioned to lead data-driven projects, innovate within their fields, and enhance their career prospects in an increasingly data-centric world.

Who should attend?

• Engineers seeking to integrate data science principles into their engineering projects to enhance decision-making and innovation.

• Engineering Managers who wish to understand the potential of data science in optimising team projects and driving efficiency within their engineering processes.

• Engineers looking to transition into data science roles or incorporate data science methodologies into their engineering expertise.

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

Foundation Python

Take your data expertise further. Explore Data science and AI modelling in mechanical engineering applications.

Predictive AI Modelling

Software requirements: Please ensure you are able to download Docker, Python and Visual studio code. Plus the ability to install Python packages including but not limited to: numpy, pandas, scikit-learn, statsmodels, scipy, matplotlib, seaborn, opencv-python, pytorch, requests.

How will I benefit?

After the course you will be able to:

• Learn to use Python and SQL for effective data analysis and visualisation. 
• Gain insights into complex statistical methods applicable in engineering. 
• Acquire skills to implement machine learning models for mechanical engineering applications. 
• Enhance your ability to make data-driven decisions in engineering projects. 
• Stay ahead in your field by mastering skills that are increasingly in demand.
• Develop skills to manage and analyse complex engineering datasets.
• Gain proficiency in building, training, and validating AI models.
• Learn to interpret the results of AI models and communicate these insights effectively.
• Stay updated with the latest trends and advancements in AI.
• Improve your ability to work with data in your engineering projects.
Contributes 14 CPD hours

Key topics

• Data science fundamentals including mathematical concepts, probability and statistics
• Exploratory data analysis
• Statistics & hypothesis testing 
• Clear data visualisation 
• Storytelling with data 
• Understanding databases and how to work with them
• Data analysis techniques
• Refining data with Feature Engineering and Principle Component Analysis (PCA)
• Modelling machine learning techniques

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.

Share:

At a glance

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

Need some help?

Contact us if you have any questions about our training courses.

Terms & conditions of booking IMechE training

Train your team

Offers and bundles

A range of options to help you maximise your training budget.

More about offers and bundles

Available dates for Data science and statistics for engineers

2 day course

London
1-2 Sep 2025 10% discount available until 1 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.

More about In-house and bespoke training

Register your interest

Members: £1,095 + VAT

Non-members: £1,350 +VAT

New for 2024

Enquire now

Train a group in-house and save

Related courses

  • 1 day course

    Foundation Python for mechanical engineers

    Take your engineering skills to the next level with our beginner's Python course tailored for Mechanical Engineers.

  • 1 day course

    Predictive AI modelling with measurement data

    Harness the power of AI for engineering with Python. Gain deep insights into building robust AI models, handling complex engineering datasets, and transforming traditional workflows into efficient, AI-driven processes.

Train your team

Tell us your team’s development needs and we’ll come to you with a specialised training programme, customised for your organisation.

What options are available?

  • Off the shelf – we can deliver any of our training courses at your chosen location, providing you with a cost-effective and efficient solution
  • Tailored courses– our personalised programmes can help you work through issues specific to your team or sector and equip you with the practical tools you need to move forward
  • Blended programmes – we use a range of delivery methods, development subjects and performance resources to ensure your team have the knowledge and skills they need to help your business thrive

More about in-house and tailored training.

Request a Training catalogue

Discover the most extensive series of professional development courses for engineers who are committed to shaping the future of our sector.

Some of the companies we've worked with

  • Alten
  • AMH Material Handling
  • Avara Foods
  • bmt
  • Bombardier
  • Bombardier
  • Frazer Nash
  • Gas Networks Ireland
  • International Nuclear Services
  • JCB
  • Martin Baker
  • National Composited Centre
  • Network Rail
  • Smurfit Kappa
  • sse

Our training acumen

  • Over 30 years of experience delivering training
  • More than 200 courses designed for engineers
  • Over 10,000 engineers trained each year
  • Trusted by over 800 companies
  • Business solutions delivered in 48 countries

Average customer rating: 4.75 out of 5


Get in touch

Get in touch if you need help finding the right course, or qualification, for you or your team.

Terms & conditions of booking IMechE training