The 10-Day Python Bootcamp for Engineers and Scientists 2024
The 10-Day Python Bootcamp for Engineers and Scientists 2024
Learn practical coding for data science, visualization, modeling and simulation - including numpy, pandas and seaborn.
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What you'll learn
- Learn Practical Python Programming for Data Science, Engineering, Modelling and Simulation tasks
- Analyze and Manipulate Data Using Pandas and NumPy
- Visualise Data with Matplotlib and Seaborn
- Develop Predictive Models and Simulate Real-World Scenarios
- Automate Data Processes to Produce Immediate, Actionable Insights
- Understand and Apply Statistical Methods to Analyse and Interpret Data
- Create Professional Visualisations to Present Your Findings
- Write Efficient Python Scripts and Functions for Data Analysis
- Solve Engineering, Scientific, and Analytical Problems Using Python
- Build Practical Projects to Showcase Your Skills
- Prepare for a Career in Data Science, Analytics or Engineering
- Apply Your Skills to Real-Life Business Cases and Projects
- Understand the Concept of Modular Programming and Apply It to Real-World Problems
- Work with Real Datasets to Solve Complex Analytical Challenges
Python Skills for Professionals – Guaranteed in Just 10 Days
What’s Included:
Bite-Sized, Actionable Lessons: No fluff, no wasted time - just concise, practical Python training tailored for busy professionals.
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.
Industry-Tested Techniques: Learn from proven tools and workflows with Pandas, NumPy, and Seaborn – essentials for modern data analysis and modelling.
Comprehensive Resources: Downloadable code snippets, quizzes, and a final project to simulate and analyse an investment portfolio’s performance.
Lifetime Access and Updates: Enjoy free lifetime access to all lessons and updates, including restructured modules and harder exercises based on feedback.
Ironclad Guarantee:
Master Python for your field in 10 days or your money back. If you’ve completed the course and don’t feel confident applying Python in your work, you can get a full refund within 30 days of purchase.
3 Reasons Why this Course is a No-Brainer:
Save Hours of Research: Skip endless YouTube tutorials and blog posts. Get straight to practical skills tailored to your needs.
Gain Immediate Results: Learn Python tools that are directly applicable to real-world challenges.
Be Ready for the Future: Python is essential for modern fields like AI, data science, and engineering. Start here, excel everywhere.
Course updates:
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
The Details:
Learn Python to address real-world challenges in engineering, science, and data analysis. This course is designed to provide you with the essential skills needed to apply Python in practical, industry-relevant contexts - whether you're seeking to automate your work, aiming to enhance your data analysis capabilities, or simply interested in using Python to simplify complex tasks.
Developed for learners of all levels, this course provides clear, structured guidance on the core concepts of Python. Through hands-on exercises and real-world examples, you will learn how to import, clean, and manipulate data, perform key statistical analyses, build mathematical models and simulations, and create professional visualisations. The lessons are concise and focused, ensuring you can acquire the knowledge and skills you need efficiently.
While covering Python programming and data analysis techniques, this course is intentionally designed to avoid more complex topics such as machine learning, object-oriented programming, and complex Boolean operations - allowing you to focus on practical skills that can be applied immediately.
If you are interested in artificial intelligence (AI), machine learning, prompt engineering or large language models (LLMs), and are new to Python, this course will set you up with the skills you require in order to go on and learn those subjects effectively.
What You’ll Learn:
- How to install Python and set up your programming environment efficiently
- Importing, cleaning, and manipulating datasets using libraries such as Pandas
- Performing statistical analysis, including outlier detection, percentiles, and interquartile ranges
- Visualising data using professional charts and graphs with Matplotlib and Seaborn
- Building mathematical models for data simulation, prediction and forecasting
- Writing efficient, reusable Python code to solve real-world problems
- Applying Python to fields such as engineering, finance, manufacturing, and scientific research
Why Take This Course?
- Practical and Immediate Value: The course is designed to deliver skills that can be applied immediately in your professional or academic work.
- Hands-on Learning: Engage with interactive coding exercises, downloadable code, and real-world projects that enable you to apply what you learn.
- Accessible for All Levels: Whether you are new to Python or seeking to refine your skills, this course is structured to accommodate learners at all levels.
- High-Quality Content: Enjoy well-organised lessons, quizzes, and downloadable resources that facilitate effective learning.
What This Course Does NOT Cover: This course provides a strong foundation in Python for data analysis, modelling, and visualisation, but it does not cover the following topics:
- Iterables and Generators such as for loops and recursion
- Complex Boolean Operations
- Object-Oriented Programming (OOP)
- Machine Learning or Deep Learning
- Big Data Libraries such as Dask or PySpark
- Concurrency and Parallelism
- Complex simulation techniques such as discrete-event simulation or agent-based modelling
This course is designed to equip you with immediate, actionable skills that can be applied directly to real-world challenges. Whether you are looking to enhance your professional capabilities or add a valuable tool to your skillset, this course will help you gain proficiency in Python efficiently and effectively.
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