[SBD WORKSHOP] Slithering into Python Fundamentals

Goal: The workshop aims to introduce students to Python programming. It seeks to build foundational skills in handling, analyzing, and interpreting data using Python. By the end of the course, students should feel confident using Python to explore simple datasets and generate simple insights.

Objective:

1. Learn the basics of Python including variables, data types, and basic operations.
2. Understand control flows (conditional statements and loops) to manage data processing efficiently.
3. Apply proper indexing techniques and follow PEP 8 Python coding standards to write clear, readable, and well-structured code.
4. Work with fundamental data structures (lists, tuples, dictionaries, sets) to control and manipulate data.
5. Apply Python concepts to solve simple data-related problems and explore datasets.

Learning Outcomes: By the end of this session, participants will be able to:

1. Understand the role of Python in the field of data science and analytics.
2. Gain confidence in using Python for simple data exploration and analytics
3. Explain fundamental Python concepts and their use in handling and analyzing data.
4. Perform basic operations on data structures to organize and extract insights from datasets.
5. Apply control flows and functions to process and analyze data efficiently.
6. Develop problem solving and critical thinking skills in data-related tasks.