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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analysis-python-nba/
课程评论：没有评论
**Coursera 课程：《用 Python 分析 NBA 数据》内容摘要** 本课程专为零代码基础的学习者设计，旨在让你在短短 3 小时内掌握使用 Python Pandas 包进行数据清洗、分析和可视化的能力。通过分析 NBA 数据，你将学会如何将这些技能应用于任何你感兴趣的数据集。 **学习亮点：** * **零基础入门：** 即使没有编程经验，也能快速上手。 * **Python Pandas 核心技能：** 学习使用热门的 Pandas 库进行数据处理。 * **实战 NBA 数据分析：** 通过真实的 NBA 数据进行练习，了解数据分析在体育领域的应用。 * **通用性强：** 学到的技能可灵活应用于各种类型的数据集。 **学员评价：** * **"无代码"的潜力 + Python 代码 = 超能力！** Matt 的教学方式能将复杂概念化繁为简，易于理解，课程价值远超其价格。 * **结构清晰，Python 入门友好。** 克服了传统冗长 Python 课程的畏难情绪，在短时间内掌握了基础知识并完成了实践项目。 * **学习效果显著。** 学习曲线平缓，内容拆解清晰，学习效率远超其他编程课程。 通过本课程，你将获得一项强大的技能，能够自信地运用 Python 分析和解读数据。
What you'll learn:- Go from zero coding knowledge to analyzing data in just 3 hours!- Use the popular Python Pandas package to clean, analyze, and visualize data- Analyze data for the NBA and learn to apply code to analyze any data set you likeTestimonials:'No code is a superpower, but combining with a bit of code (Python in this case) takes things next level. Matt's one of the best teachers I know and explains complex topics in an easy to understand way. Each course is easily worth 5-10x the value he charges. Highly recommend checking it out!' -Seth, Founder of No Code MBA'Very well-structured and approachable way to gain an initial understanding of Python. For the past 6-months or so I have been planning to dive into a self-taught Python course which is many hours long & daunting. Once I came across your course I felt it was a great way to spend an hour or so to cover the basic aspects but also walk away with a completed activity. So thank you for creating this course!' -Mike'I'm loving this course! It's broken down amazingly well and I'm learning way more than I have in any other coding course I've taken.' -Lucas
