Introduction to Python for Data Science empowers professionals with the foundational programming skills needed to launch data-driven careers.
Scope Statement:
This course provides a hands-on introduction to Python programming in the context of data science. Designed for beginners, it covers everything from setting up your environment to using control structures and libraries essential for working with data. Through a blend of interactive demonstrations, exercises, and real-world examples, learners will gain confidence writing and executing Python code to manipulate data, automate tasks, and lay the groundwork for more advanced analytics.
Whether you’re transitioning into a data-focused role, preparing for more advanced machine learning training, or simply want to build your technical toolkit, this course equips you with the core Python skills needed to succeed.
Throughout the course, students will:
- Set up a Python development environment using Anaconda and Jupyter Notebook.
- Understand Python’s role in data science and why it’s the preferred language for analysts and scientists.
- Explore Python data types including strings, integers, floats, booleans, lists, tuples, sets, and dictionaries.
- Write clean, readable Python code using variables, input/output functions, and formatting techniques.
- Perform arithmetic, comparison, logical, and string operations.
- Use control structures such as loops and conditional statements to create dynamic programs.
- Learn how to structure code blocks using proper indentation and syntax.
- Import and use Python libraries essential to data science (e.g., NumPy, Pandas, Matplotlib).
- Apply concepts through interactive coding exercises and mini-projects, including the “99 Bottles of Beer” challenge and the “Banana Fanna” name song generator.
Who Should Attend:
This course is ideal for professionals across federal and commercial sectors looking to begin their data science journey. No prior programming experience is required, just curiosity and a willingness to learn. The course is especially beneficial for:
- Aspiring data scientists
- Analysts looking to automate tasks
- Cybersecurity and intelligence professionals upskilling into technical roles
- Technical managers seeking to better understand the tools their teams use
Course Features:
- Taught by experienced instructors from IntelliGenesis LLC
- Designed to meet mission-ready federal workforce needs
- Interactive environment using Jupyter Notebook
- Focused on clarity, simplicity, and practical application
- Prepares students for more advanced AI, ML, and data engineering courses
No prior programming experience is required—just curiosity and a willingness to learn.
