Build a Data Analysis Library from Scratch in Python

Immerse yourself in a long, comprehensive project that teaches advanced Python concepts to build an entire library
4.55 (144 reviews)
Udemy
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English
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Programming Languages
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instructor
Build a Data Analysis Library from Scratch in Python
8 286
students
7.5 hours
content
Feb 2019
last update
$49.99
regular price

Why take this course?

🚀 Build a Data Analysis Library from Scratch in Python 📚

Dive into an epic journey of learning and coding with our comprehensive online course! This is not your average tutorial—it's a deep dive into advanced Python concepts, culminating in the creation of your very own data analysis library: Pandas Cub. 🐍✨

Who is this for? You are an intermediate Python developer hungry for a challenge that goes beyond the basics. You want to push your limits and build something substantial and impactful. This course is designed for those who are ready to commit time and effort to a substantial project, learning by doing.

What will you learn?

  • Setting Up Your Development Environment: Get comfortable with conda and setting up the tools you need for efficient development. 🛠️
  • Test-Driven Development (TDD): Master TDD to ensure your code is not just functional, but also of high quality. ✅
  • Python Data Model: Learn to make your objects work seamlessly with Python's built-in functions and operators for a powerful user experience. 🔧
  • Building a DataFrame Class: This is the core of your library. You'll learn to create a DataFrame class that can:
    1. Handle data selection with brackets operator 📊
    2. Perform aggregation methods like sum, min, max, mean, and median 📈
    3. Use non-aggregation methods such as isna, unique, rename, and drop ✂️
    4. Group data by one or two columns to create pivot tables 🔗
    5. Handle string columns with specific methods 💬
    6. Read in data from CSV files 📝
    7. Display DataFrames in a nicely formatted manner in your notebook 🖨️

Why take this course? In today's world, knowing the basics of Python is not enough. You need to be able to tackle large-scale projects and understand how to build comprehensive tools that can handle complex data analysis tasks. This course will challenge you and elevate your Python skills to a new level.

Your Instructor: 👩‍💼 Ted Petrou, the author of best-selling books like Pandas Cookbook, Master Data Analysis with Python, and Master the Fundamentals of Python, is here to guide you through this transformative learning experience. With years of practical expertise and a passion for teaching, Ted will ensure you not only complete the project but also fully grasp the concepts behind each step.

What's in it for you?

  • A portfolio piece that showcases your advanced Python skills. 🏆
  • The ability to tackle large projects with confidence and expertise. 💪
  • A profound understanding of how to build a robust library from scratch. 🛠️
  • Immediate feedback through nearly 100 unit tests that ensure your code is on point. ✅

Are you ready to embark on this Pythonic adventure? Enroll in "Build a Data Analysis Library from Scratch in Python" and transform the way you approach coding and data analysis! 🚀💻

Course Gallery

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2231916
udemy ID
20/02/2019
course created date
16/06/2019
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