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Course Outline
Introduction to Python and Google Colab
- Setting up Google Colab.
- Understanding the Python programming environment.
- Writing and executing your first Python script.
Variables and Data Types
- Introduction to variables.
- Various data types in Python.
- Operations involving numbers and strings.
Control Structures
- Conditional statements.
- Loops: for and while.
- Managing program flow with decision-making logic.
Functions and Modules
- Defining and calling functions.
- Understanding variable scope and lifetime.
- Importing and utilizing modules.
Working with Collections
- Lists and tuples.
- Dictionaries and sets.
- Iterating through collections.
Basic Libraries in Python
- Introduction to libraries such as NumPy and Matplotlib.
- Basic data manipulation using Pandas.
- Simple data visualization techniques.
Final Project
- Applying learned concepts to a small-scale project.
- Best practices for writing and organizing Python code.
- Debugging and troubleshooting strategies.
Summary and Next Steps
Requirements
- No previous programming experience is necessary.
- Basic knowledge of computer operations.
- Familiarity with web browsing and elementary mathematical concepts.
Target Audience
- Developers.
- Data analysts.
14 Hours
Testimonials (2)
Examples/exercices perfectly adapted to our domain
Luc - CS Group
Course - Scaling Data Analysis with Python and Dask
The trainer was very available to answer all te kind of question I did
