Lecture 1: What is Data? Ethical Considerations and Practicalities¶
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Learning Outcomes:
Understand how user data is generated and stored.
Explain the implications of sharing or selling data.
Perform basic file operations (open, read, write).
Activities:
Introduction to data ethics and privacy.
Opening files and loading data into tables.
Lecture 2: Data Privacy Regulations and Practical File Operations¶
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Learning Outcomes:
Explain regulatory structures for data privacy (CCPA, GDPR).
Identify circumstances for anonymizing data.
Handle I/O errors in file operations.
Activities:
Discussion on regulatory frameworks and privacy vs. security.
Practical skills for closing and saving files.
Discussion 1: Data Privacy and Regulatory Guidelines¶
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Learning Outcomes:
Recognize data analysis’s role in power structures.
Understand data regulations (CCPA, GDPR).
Activities:
Analyze real-world privacy guidelines and their societal impact.
Lab 1: File Handling and Basic Data Operations¶
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Learning Outcomes:
Perform basic file operations (open, read, write).
Understand file paths and error handling.
Project/Homework Part 1: Data File Manipulation and Basic Table Operations¶
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Learning Outcomes Covered:
Perform basic file operations.
Process different file formats (CSV, JSON).
Activities:
Hands-on exercises for working with data files.