程式設計與資料分析 | 資料分析的部分
Why take this course?
Programming and Data Analysis | Mastering Data Analysis with Python
🚀 Course Headline: Dive into the World of Data with Python Programming for Data Analysis: Unleash the power of Numpy for array computations, manipulate data effortlessly with Pandas, visualize your datasets with PyPlot, and predict with precision using Scikit-Learn!
Course Instructor: Yao-Jen Kuo
📆 Course Title: Python 資料分析：Numpy 運算陣列、Pandas 操控資料、PyPlot 資料視覺化、Scikit-Learn 建立模型
🔍 Course Description:
This is an introductory series of 16 weeks, 3 credits, to the fascinating world of programming and data analysis. As an instructor, I've embarked on a journey to enhance the teaching efficiency by creating engaging video lectures for the programmatic aspects of our "Programming and Data Analysis" course.
Why This Course?
- Accessibility: With the rise of online learning platforms, this course brings cutting-edge data analysis techniques within reach of anyone with an internet connection.
- Comprehensive Learning: Tailored for beginners, this course will guide you through the fundamentals of Python programming and its application in data analysis.
- Real-World Application: Learn by doing! You'll apply your knowledge to real-world datasets, making this course not just theoretical but practical as well.
What You'll Cover:
📊 Week 1-4: Python Basics and Numpy
- Understand the core concepts of Python programming.
- Master array operations with Numpy for efficient data handling.
🧾 Week 5-8: Data Manipulation with Pandas
- Learn to navigate and manipulate data frames with ease using Pandas.
- Discover powerful data cleaning and preparation techniques.
📈 Week 9-12: Data Visualization with PyPlot
- Create compelling visualizations to represent your data effectively.
- Explore different plotting styles and strategies for data interpretation.
🧠 Week 13-16: Data Analysis with Scikit-Learn
- Build predictive models using Scikit-Learn.
- Understand the principles of machine learning and how to apply them in practice.
🚀 Course Highlights:
- Language & Medium: All lecture materials are in English, but instruction will be delivered in Mandarin Chinese to ensure clarity and understanding for learners.
- Textbook Reference: The course is based on Jake VanderPlas's highly acclaimed "Python Data Science Handbook," which provides a comprehensive guide to essential data science tools.
🎓 Who Should Take This Course?
This course is designed for:
- Aspiring data scientists and analysts eager to learn the basics of Python programming and its application in data analysis.
- Students who missed the opportunity to take such a course during their college years.
- Professionals looking to upskill and add Python, Numpy, Pandas, PyPlot, and Scikit-Learn to their data analysis toolkit.
Join us on this enlightening journey into the realm of data analysis with Python! 💻✨
Enrollment is now open! Don't miss out on transforming your data analysis skills.
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