10 days Python for engineers and scientists
Python for people with day jobs.
A ten-day bootcamp in the essential Python for data analysis, modelling and visualisation, designed by a Chartered Engineer for engineers, scientists and analysts. No web frameworks, no computer science detours, no forty-hour syllabus; one short lesson a day, then back to work.
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- one short lesson a day
- 10 days
- from 300+ Udemy reviews
- 4.6 / 5
- students enrolled
- 8,000+
01 The problem
Why is Python so hard for technical professionals to learn? Not because the language is hard; because the courses are aimed at somebody else. They teach you to build websites and to-do apps when what you actually need on Monday is to read a messy CSV, run the numbers and produce a chart your manager believes.
Meanwhile the spreadsheet grows. The formulas turn fragile, the file takes a minute to open and every result invites the same nervous question: are we sure? Python sits on every job description, colleagues who script seem to move faster and the gap widens a little each week.
Ten focused days on the Python that does your work; nothing else made the cut.
02 See inside
Watch the overview.
03 The outcomes
What ten days buys you
Six capabilities, each one usable the day you learn it.
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Read any dataset without flinching
CSV exports, Excel workbooks, the haunted output of a legacy system: pandas reads them all, and you will know the handful of methods that tame them.
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Compute with NumPy
Array operations, statistical summaries and the mathematical transformations a spreadsheet performs slowly or not at all.
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Plot charts that persuade
Matplotlib and Seaborn, used with restraint: figures that make the finding obvious before you have said a word.
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Automate the tedious
Write a function once and retire a chore forever. The Friday afternoon spent re-running the same analysis becomes a button.
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Solve problems you recognise
Every exercise mirrors work that engineers and scientists actually do: importing, cleaning, calculating, plotting. Skills you can use on Monday morning.
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Keep it for life
Lifetime access, a certificate of completion and materials that wait patiently for the next time you need a refresher.
04 The programme
The shape of the thing.
- No prior Python required
- Beginner
- Of video lessons
- 1.5 hours
- Total, with exercises
- ~10 hours
- Access, plus certificate
- Lifetime
What you need to begin
- A computer running Windows, Mac or Linux
- Basic computer literacy: files, folders, installing software
- No Python whatsoever; we install it together, with the free Thonny IDE
05 The evidence
Tested on 8,000 students first.
The bootcamp began life on Udemy, where it has enrolled over 8,000 students and holds a 4.6 out of 5 rating across more than 300 reviews.
fig. 1, the Udemy record; the course here is the direct edition
I was very impressed with this course. It was very well structured, with practical real world examples that made it both engaging and relevant. Harry clearly explained the concepts and the exercises really helped solidify my understanding of Python. I highly recommend this course for anyone looking to begin their Python journey.
It was a wonderful experience, and even though I already had some knowledge of NumPy and pandas, this course introduced me to a new range of functions. It truly broadened my horizons and deepened my understanding of how to use these powerful tools for simulation purposes.
06 The instructor
Built by an engineer who needed it.
Harry Munro, CEng MIMechE. Chartered Engineer; more than a decade of simulation and data analysis across transport, mining and energy; over 8,000 students taught.
I built this bootcamp after watching too many capable engineers abandon Python tutorials written for aspiring web developers. You do not need to render a webpage; you need to clean a dataset, run a calculation and plot a result. So that is the entire course.
07 The honest comparison
Why enrol here rather than on Udemy?
The Udemy edition exists and I will not pretend otherwise. Enrolling directly adds four things.
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Priority support
Questions come straight to me and are answered faster than any marketplace inbox manages.
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The private community
A student-only forum for questions, code reviews and the occasional triumph.
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A structured path
Graded quizzes and a proper learning path that the Udemy edition does not include.
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It funds what comes next
Enrolling directly supports new modules and future courses rather than a marketplace commission.
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08 The fit
Is it for you?
Enrol if
- You are an engineer, scientist or analyst who works with data
- Your analysis lives in Excel and has outgrown it
- You want focused fundamentals, not a forty-hour syllabus
- You have never written Python; that is the assumed starting point
Look elsewhere if
- You want to build websites or apps; this is data-first Python
- You already write pandas fluently; go straight to the Simulation Bootcamp
- You want machine learning in depth; that is Data Science Mastery
09 The small print, enlarged
Questions, answered
I have never written a line of Python. Will I cope?
You are precisely who the course is for. It assumes basic computer literacy and nothing else; if you can drive Excel, you can learn this. We begin at the true beginning and stay practical throughout.
How long does it really take?
There are roughly 1.5 hours of video, and around 10 hours in total once the exercises are included. Spread it over ten days as designed, binge it in a weekend or take a month; you have lifetime access and the certificate does not record your pace.
What do I need before I start?
A computer running Windows, Mac or Linux; that is the whole list. The first lessons walk you through installing Python and the free Thonny IDE step by step, so there is nothing to fight before the learning starts.
What happens when I get stuck?
You ask. Every lesson carries a Q&A section and enrolment includes the private student community; between the two, nobody is left staring at an error message alone.
Is there a deadline, or a guarantee?
No deadline; the materials are yours for life. And yes, a full 30-day money-back guarantee: if the course is not what you hoped, request a refund within 30 days and you will have it, no questions asked.
A short note before you decide.
This is the course I wish someone had handed me at the start: small, practical and respectful of your time. Ten days from now you could be reading data, running analysis and plotting results in Python; the spreadsheet will not miss you.
If it is not what you expected, the 30-day guarantee returns every penny. The price is shown at checkout, the access is immediate and the materials are yours for life.
Harry
Price shown at secure checkout · Instant access · 30-day money-back guarantee