Python for Data Analysis: Pandas & NumPy
Understand python programming fundamentals for data analysis
Define single and multi-dimensional NumPy arrays
Import HTML data in Pandas DataFrames
In this hands-on project, we will understand the fundamentals of data analysis in Python and we will leverage the power of two important python libraries known as Numpy and pandas. NumPy and Pandas are two of the most widely used python libraries in data science. They offer high-performance, easy to use structures and data analysis tools. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
您要培养的技能
- Data Science
- Data Operations
- Data Analysis
- Python Programming
分步进行学习
在与您的工作区一起在分屏中播放的视频中，您的授课教师将指导您完成每个步骤：
Task #1: define single and multi-dimensional NumPy arrays
Task #2: leverage NumPy built-in methods and functions
Task #3: perform mathematical operations in NumPy
Task #4: perform arrays slicing and indexing
Task #5: perform elements selection (conditional)
Task #6: understand pandas fundamentals
Task #7: pandas with csv and html data
Task #8: pandas operations
Task #9: pandas with functions
Task #10: perform sorting and ordering in pandas
指导项目工作原理
您的工作空间就是浏览器中的云桌面，无需下载
在分屏视频中，您的授课教师会为您提供分步指导
审阅
来自PYTHON FOR DATA ANALYSIS: PANDAS & NUMPY的热门评论
Great explanations. Great work environment. I have had sections on Numpy and Pandas in Python classes. But I learned more in this class than all the others combined. A great experience.
Thank you! I've got stuck in Pandas and NumPy for some time, but this course helps me a lot.
Just the right course to begin learning about Numpy arrays & Pandas
常见问题
常见问题
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有助学金吗？
我能旁听指导项目并免费观看视频部分吗？
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我能直接通过 Web 浏览器来完成此指导项目，而不必安装特殊软件吗？
指导项目的学习体验如何？
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