Week 1: Set-Up Class & Hello World

• Introduce students to the course and expectations.

• Create a Python environment and run the "Hello World" program.

• Introduce Project Energy ...

Week 2: Functions & Data Structures

• Discuss the basics of functions and data structures

• Introduce students to the different types of data structures, such as lists, arrays, dictionaries, and sets

• Practice working with data structures in Python

• Kaggle & Other Resources to find data

​Week 3: Read & Write to CSV’s, Files, Pandas, ...

• Explain how to read and write data to CSV files.

• Introduce students to the Pandas library and how to use it to read and write dataframes.

• Visualize data

• Practice working with CSV files and Pandas in Python.

​Week 4: Big Data Project Part 1: Load Dataset & Start Feature Engineering

• Load a real-world dataset into Python.

• Start to explore the data and perform some basic feature engineering.

• Discuss the challenges of working with big data.

Week 5: Big Data Project Part 2: Make a Prediction & Talk about how to extend further

• Develop a model to make predictions on the data.

• Evaluate the performance of the model.

• Discuss how to extend the project further, such as by adding new features or using a

  different machine learning algorithms.

Week 6: Project Presentations

• Present your projects & get real-time feedback! 

• Learn how you can further progress in the field!