Requirements

• Basic Computer Literacy: Learners should be comfortable using a computer
• navigating files
• and installing software.
• Curiosity and a Willingness to Learn: No prior programming experience is required! This course is designed to take beginners through the foundations of Python and data analysis step by step.
• (Optional) Basic Understanding of Mathematics and Statistics: While not required
• familiarity with basic statistical concepts (e.g.
• mean
• median
• and standard deviation) will help learners get the most out of the course
• particularly when we explore data analysis and modelling.
• No Prior Python Experience Required! This course will cover everything you need to know from scratch. If you’re new to programming please note that the pace of the course is quite aggressive
• so please repeat sections and take your time with it if you need additional practice.

Description

Python Skills for Professionals – Guaranteed in Just 10 Days or Your Money Back

if engineer_or_scientist and wants_to_learn_python:

    print("Welcome! You are in the right place, please read on!")

else:

    print("This probably isn't for you but please feel free to check it out anyway.")

What’s Included:

1. Bite-Sized, Actionable Lessons: No fluff, no wasted time - just concise, practical Python training tailored for busy professionals.

2. Real-World Application: From visualising data to simulating an investment portfolio, every exercise is designed to mimic real-world challenges in engineering, science, and finance.

3. Industry-Tested Techniques: Learn from proven tools and workflows with Pandas, NumPy, and Seaborn – essentials for modern data analysis and modelling.

4. Comprehensive Resources: Downloadable code snippets, quizzes, and a final project to simulate and analyse an investment portfolio’s performance.

5. Lifetime Access and Updates: Enjoy free lifetime access to all lessons and updates, including restructured modules and harder exercises based on feedback.

3 Reasons Why this Course is a No-Brainer:

1. Made by an engineer, for engineers: I'm a chartered mechanical engineer and I've coded in Python for over a decade. Skip endless YouTube tutorials and blog posts. Get straight to practical skills that are actually relevant for industry application.

2. Gain Immediate Results: Test your knowledge with coding exercises, assignments and quizzes throughout the course.

3. Be Ready for the Future: Python is essential for modern fields like AI and data science. You can magnify your existing skillset by leveraging the power of Python.

Course updates:

• 5th December 2024: Some general bug fixes.

• 24th November 2024: Added a big final coding exercise where you will simulate the returns of an investment portfolio and analyse the performance. Also made some of the coding exercises a little harder in response to feedback.

• 28th October 2024: Big update - complete restructure to the course, breaking down lessons into much smaller bite-sized chunks to make it far easier to reference different sections.

"This is exactly what I was looking for to help jumpstart my Python skills." - Rhys Feeney, Product Manager at Ocula Technologies

“Perfect Course for Busy Professionals Who Want Real-World Python Skills! The bite-sized lessons are perfect for someone like me who’s juggling work and learning. The course goes straight to the point, cutting out unnecessary fluff, and dives right into practical, industry-relevant examples.” - Grace, Actuary

“This course is fantastic! Just the right level of detail and pacing to help get up to speed with Python and then apply the knowledge to real-world scenarios. I’d especially recommend this course for mechanical, chemical, or civil engineers and scientists who have resisted trying Python but are now ready to dive in.” - Chris, Engineer

Enrol today, enjoy lifetime access (including access to all future course updates) and level up your Python skills in 10 days or your money back!

Who this course is for:

• Engineers
• Scientists
• and Analysts
• Students and Academics
• Industry Professionals Looking to Upskill
• Beginners Interested in Python for Data Science