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所在平台: Udemy |
课程主页: https://www.udemy.com/course/unpacking-numpy-and-pandas/
课程评论：没有评论
课程名称：解读NumPy和Pandas 课程概述： Python是一种多范式编程语言，已成为数据科学家进行数据分析、可视化和机器学习的首选语言。在本视频课程中，您将探讨数据分析师使用的两个最重要的Python库。课程开始时，您将学习如何为Python的数据分析设置合适的环境，包括安装合适的Python发行版、使用Jupyter Notebook以及设置数据库。 接下来，您将深入学习Python的NumPy库，这是一个强大的扩展包，包含高级数学函数。您将学习如何创建NumPy数组，并使用不同的数组方法和函数。之后，您将探讨Python的Pandas库，学习如何对数据进行子集选择以及使用Pandas进行数据映射。您还将掌握通过排序和排名来管理数据集的技巧。最后，您将学会如何对数据进行索引和分组，以实现复杂的数据分析和操作。 关于讲师： Curtis Miller是犹他大学的研究生，正在攻读统计学硕士（MSTAT）和大数据证书。Curtis曾担任数学辅导员，并拥有数学（以统计学为副修）双学位。他曾研究性别薪酬差距，并发表论文《犹他州的性别薪酬差异》，引起当地媒体的关注。目前，他在犹他大学教授基础统计学。他喜爱写作和阅读，热衷于研究政治、经济、历史以及心理学和社会学。
Python, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning. In this video course, you will explore two of the most important Python packages used by Data Analysts. You will start off by learning how to set up the right environment for data analysis with Python. Here, you'll learn to install the right Python distribution, as well as work with the Jupyter notebook, and set up a database. After that you will dive into Python's NumPy package, Python's powerful extension with advanced mathematical functions. You will learn to create NumPy arrays, as well as employ different array methods and functions. Then, you will explore Python's Pandas extension, where you will learn to subset your data, as well as dive into data mapping using Pandas. You'll also learn to manage your data sets by sorting and ranking them. Finally, you will learn to index and group your data for sophisticated data analysis and manipulation. About the Author Curtis Miller is a graduate student at the University of Utah, seeking an Master's in Statistics (MSTAT) and a Big Data Certificate. In the past, Curtis has worked as a Math Tutor, and has a double major adding mathematics with an emphasis in statistics as a second major. Curtis has studied the gender pay gap, and presented his paper or Gender Pay Disparity in Utah, which grabbed the attention of local media outlets. He currently teaches Basic Statistics at the University of Utah. He enjoys writing and is an avid reader, and enjoys studying politics, economics, history, and psychology and sociology.
