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Python Programming: Dictionaries and Classes

Introduces Python programming concepts, focusing on dictionaries and classes, including their definitions, usage, and practical examples.

File Management and Exception Handling in Python

Focuses on file management and exception handling in Python programming.

Data Structures: Tuples, Sets, Dictionaries

Explores tuples, sets, and dictionaries in Python, covering immutability, uniqueness, and key-value pairs.

Data Science with Python

Covers Python basics, Pandas, data manipulation, visualization, and machine learning.

Introduction to Jupyter Exercises

Introduces Jupyter exercises on Differential Privacy, covering random generators, understanding data intrusion impact, and practical applications.

General Introduction to Data Science

Offers a comprehensive introduction to Data Science, covering Python, Numpy, Pandas, Matplotlib, and Scikit-learn, with a focus on practical exercises and collaborative work.

Data Structures: Tuples, Lists, Sets, Dicts

Introduces data structures like tuples, lists, sets, and dicts in Python, covering their definition, manipulation, and iteration.

Dataclasses: Modeling and Classes

Introduces dataclasses for modeling complex structures and defining custom variable types.

Introduction to C Programming

Introduces fundamental C programming concepts, covering variables, control structures, functions, and pointers, with practical examples and exercises.

Data, big data, clouds and IoT

Explores data representation, databases, cloud computing, and challenges in the cloud environment.