Data Science Prep Course 2025 - Summary

Welcome to the summary of the Data Science Prep Course 2024! This document provides an overview of the content covered in each week of the course. Use this as a guide to navigate through the materials and ensure you have a comprehensive understanding of the topics.

Week 00: Introduction to Jupyter Notebook

• SLU00 - Jupyter Notebook: Learn the basics of Jupyter Notebook, an interactive computational environment for creating notebook documents that integrate code, output, visualizations, and narrative text. (Week 00/SLU00 - Jupyter Notebook/README.md)

Week 01: Command Line and Programming Basics

• SLU01 - Command Line: Get familiar with the terminal and command line, learning essential bash commands for navigating and manipulating files and directories. (Week 01/SLU01 - Command Line/README.md)
• SLU02 - Programming Basics: Introduction to Python programming, covering basic data types, operations, variables, and debugging techniques. (Week 01/SLU02 - Programming Basics/README.md)

Week 02: Git Basics and Data Structures

• SLU03 - Git Basics: Learn the fundamentals of Git, a version control system, including repository management, common commands, and collaboration techniques. (Week 02/SLU03 - Git Basics/README.md)
• SLU04 - Data Structures: Explore different data structures in Python, such as tuples, lists, dictionaries, and sets, and understand their properties and use cases. (Week 02/SLU04 - Data Structures/README.md)

Week 03: Flow Control

• SLU05 - Flow Control: Master the control flow in Python using conditional statements, loops, and list comprehensions to write efficient and readable code. (Week 03/SLU05 - Flow Control/README.md)

Week 04: Git Intermediate and Functions Fundamentals

• SLU06 - Git Intermediate: Deepen your understanding of Git with advanced topics like branching, merging, and resolving conflicts. (Week 04/SLU06 - Git Intermediate/README.md)
• SLU07 - Functions Fundamentals: Learn how to create and use functions in Python to avoid code repetition and improve code organization. (Week 04/SLU07 - Functions Fundamentals/README.md)

Week 05: Functions Intermediate and OOP Basics

• SLU08 - Functions Intermediate: Explore advanced function concepts, including positional and keyword arguments, scopes, and built-in functions. (Week 05/SLU08 - Functions Intermediate/README.md)
• SLU09 - OOP Basics: Introduction to Object-Oriented Programming (OOP) in Python, covering classes, instances, attributes, and methods. (Week 05/SLU09 - OOP Basics/README.md)

Week 06: OOP Inheritance and String & File Handling

• SLU10 - OOP Inheritance: Learn about inheritance in OOP, including parent and child classes, multiple inheritance, and method overriding. (Week 06/SLU10 - OOP Inheritance/README.md)
• SLU11 - String & File Handling: Understand string manipulation, regular expressions, exception handling, and file operations in Python. (Week 06/SLU11 - String & File Handling/README.md)

Week 07: Linear Algebra & NumPy - Part 1

• SLU12 - Linear Algebra & NumPy, Part 1: Introduction to linear algebra concepts and basic operations using NumPy, a fundamental package for scientific computing in Python. (Week 07/SLU12 - Linear Algebra & Numpy - Part 1/README.md)

Week 08: Linear Algebra & NumPy - Part 2 and Modules & Packages

• SLU13 - Linear Algebra & NumPy, Part 2: Continue learning linear algebra concepts and advanced NumPy operations, including matrix multiplication and inverse. (Week 08/SLU13 - Linear Algebra & NumPy, Part 2/README.md)
• SLU14 - Modules & Packages: Learn how to organize and reuse code by creating and using modules and packages in Python. (Week 08/SLU14 - Modules & Packages/README.md)

Week 09: Debugging & Text Editor and Final Project

• SLU15 - Debugging: Develop debugging skills and learn best practices for writing clean, error-free code. (Week 09/SLU15 - Debugging & Text Editor/README.md)
• SLU16 - Final Project: Apply the knowledge gained throughout the course to a final project, demonstrating your understanding of the concepts and skills learned. (Week 09/SLU16 - Final Project/README.md)

Week 10: Exam Prep I

• SLU17_1 - Exam Prep I: Practice solving previous entry exams of the Lisbon Data Science Starters Academy. (Week 10/SLU17_1 - Exam Prep I/README.md)
• SLU17_2 - Exam Prep I: Continue practicing with another set of previous entry exam questions. (Week 10/SLU17_2 - Exam Prep I/README.md)
• SLU17_3 - Exam Prep I: Further practice with additional previous entry exam questions. (Week 10/SLU17_3 - Exam Prep I/README.md)

Week 11: Exam Prep II

• SLU18_1 - Exam Prep II: More practice with previous entry exams to solidify your understanding and prepare for the final assessment. (Week 11/SLU18_1 Exam Prep II/README.md)
• SLU18_2 - Exam Prep II: Continue practicing with another set of previous entry exam questions. (Week 11/SLU18_2 Exam Prep II/README.md)
• SLU18_3 - Exam Prep II: Further practice with additional previous entry exam questions. (Week 11/SLU18_3 Exam Prep II/README.md)
• SLU18_4 - Exam Prep II: Final set of practice questions to ensure you are well-prepared for the exam. (Week 11/SLU18_4 Exam Prep II/README.md)