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所在平台: Udemy |
课程主页: https://www.udemy.com/course/exploratory-data-analysis-with-pandas-and-python-3x/
课程评论：没有评论
课程名称：使用Pandas和Python 3.x进行探索性数据分析 课程概述：你如何将数据分析技能从Excel提升到更高的水平？通过学习足够的Python以完成任务。本课程是一个实用的课程，旨在向非程序员展示如何处理最初过于混乱或难以访问的信息。通过各种逐步练习，您将学习如何高效获取、清洗、分析和展示数据。课程内容将从Python基础开始，探索多种不同类型的数据。在整个课程中，您将使用真实的数据集从中提取洞见，接触不同种类的数据结构和与数据相关的问题。您将学习如何准备数据以进行分析，执行简单的统计分析，创建有意义的数据可视化，从数据中预测未来趋势等。 关于作者：Mohammed Kashif是一名在印度Nineleaps担任数据科学家的专家，主要研究图数据分析。在此之前，他曾在高通担任Python开发人员。他在德里印度理工学院获得计算机科学硕士学位，专攻数据工程。他的兴趣领域包括推荐系统、自然语言处理（NLP）和图分析。业余时间，他喜欢在StackOverflow上解决问题，并帮助他人解决调试困难。Kashif还是一名经验丰富的助教，在高等教育行业有着丰富的工作经历。
How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on course shows non-programmers how to process information that's initially too messy or difficult to access. Through various step-by-step exercises, you'll learn how to acquire, clean, analyze, and present data efficiently.This course will take you from Python basics to explore many different types of data. Throughout the course, you will be working with real-world datasets to retrieve insights from data. You'll be exposed to different kinds of data structure and data-related problems. You'll learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!About the AuthorMohammed Kashif works as a Data Scientist at Nineleaps, India, dealing mostly with graph data analysis. Prior to this, he worked as a Python developer at Qualcomm. He completed his Master's degree in Computer Science from IIT Delhi, with a specialization in data engineering. His areas of interests include recommender systems, NLP, and graph analytics. In his spare time, he likes to solve questions on StackOverflow and help debug other people out of their misery. He is also an experienced teaching assistant with a demonstrated history of working in the Higher-Education industry.
