The 10-Day Python Bootcamp for Engineers and Scientists 2024

Learn practical coding skills for working with data, visualisation, modelling and simulation.

Created by: Harry Munro
Simulation Specialist and Chartered Engineer

What Will I 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

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.

Target audience

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