pandasの基礎 - 再入門 - / 本当に使えるようになるための実習
Learn Python data science with pandas! Master data structures & APIs for powerful data analysis and statistics. Build a strong foundation in Python.
Course Content
pandasの基礎 - 再入門 - / 本当に使えるようになるための実習 is an intermediate-level Udemy course taught by 中村 勝則. It runs 23h 31m, is taught in Japanese, and includes a certificate of completion. Learners rate it 4.3 out of 5 from 128 reviews, with 905 students enrolled. It is a paid course, first published April 2022.
Master Pandas for Data Science & Statistics with Hands-On Practice
Unlock the power of Pandas, the essential Python library for data science and statistical analysis. This course goes beyond basic tutorials, diving deep into the intricacies of data structures and API usage through extensive practical exercises. You'll gain a profound understanding of how to effectively work with various Pandas data structures and their associated functions and methods.
What You'll Learn:
- Series Objects: Understand the structure and manipulation of Pandas Series, fundamental building blocks for data analysis.
- DataFrame Objects: Master the creation and manipulation of Pandas DataFrames, the core data structure for tabular data.
- File Input/Output: Learn how to efficiently read data from and write data to various file formats.
- Core Data Science Functions: Explore the fundamental Pandas functions that underpin data science and statistical processing.
- Data Visualization Basics: Discover essential Pandas data visualization techniques for insightful data representation.
- Time Series Handling: Learn to effectively manage and manipulate time series data using Pandas timestamp functionality.
- API Mastery: Gain a deep understanding of how to utilize Pandas APIs – from specifying arguments to understanding function behavior.
This course focuses on the core functionalities of Pandas, providing a solid foundation for more advanced applications like big data analysis and machine learning. It's ideal for anyone struggling with Pandas code not working as expected or having difficulty understanding subtle differences in syntax.
Course Highlights:
- Practical, Hands-On Approach: Learn by doing with real-world examples and exercises.
- Google Colaboratory & Google Drive Integration: Utilize these powerful tools for seamless coding and data management.
- Clear Coding Demonstrations: Benefit from direct code examples to accelerate your learning.
- Structured Learning: The course follows a format similar to university or vocational school practical classes, with longer lecture times and recommended breaks.
Why is Pandas Essential?
Even with the rise of generative AI for code generation, a strong understanding of programming languages and APIs remains crucial. To effectively interact with and interpret the output of AI tools, you need a solid foundation in programming concepts. This course equips you with the necessary skills to leverage Pandas and effectively engage with the future of programming.
Note: This course does not cover advanced topics like big data analysis or machine learning. It's designed to solidify your understanding of Pandas fundamentals and resolve common coding challenges. For optimal learning, please use a large display (desktop or laptop) rather than a smartphone.
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