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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-for-data-analysts-students-and-professionals/
课程评论：没有评论
课程名称：数据分析Python编程：终极指南 课程概述：您是否对成为一名数据分析师感兴趣？想要获得实用技能并解决现实世界的商业问题？那么这个课程便是您的理想之选！该课程由一位拥有10年保险和医疗行业经验的高级数据分析师创建，将为您提供基础知识，并帮助您了解数据加载、数据处理、数据聚合及如何简单使用库/包的关键概念。我将一步一步地引领您进入数据分析的世界。通过每一节讲座和实验，您将深入理解这些概念，以应对真实数据问题！本课程主要使用Python解决实验和总结项目。课程内容设置合理，具有逻辑性： - 模块0 - Python入门：设置Python环境，了解Python库的基础知识 - 模块1 - 数据加载和写入：学习如何从平面文件（如.csv或Excel格式）加载和写入数据 - 模块2 - 数据类型和格式：掌握数据类型，并学习如何转换数据类型以进行正确操作 - 模块3 - 数据处理：清洗和预处理数据，进行排序、排序和子集记录 - 模块4 - 连接操作：学习如何使用Python包（如pandas和SQL）执行连接操作 - 模块5 - 数据聚合：学习如何使用汇总统计进行数据聚合并进行特征工程 - 模块6 - 时间智能：学习如何计算工作日并进行时间维度分析 - 模块7 - 数据可视化：学习探索性数据分析（EDA）基础和单变量/双变量可视化 每个模块内容独立，您可以选择从头到尾学习课程，也可以跳过进入任何特定主题。不过，我强烈建议学生按照模块1到7的顺序学习，以完成最终项目挑战！课程包含了我在作为高级数据分析师期间所解决的真实数据/商业问题。您不仅将学习概念，还将获得实践经验。立即注册，迈出掌握Python数据分析艺术的第一步。
Interested in becoming a Data Analyst? Want to gain practical skills and solve real-world business problems? Then this is the perfect course for you! This course is created by a Senior Data Analyst with 10 years of experience in Insurance and Health Care sectors. It will equip you with foundational knowledge and help you learn key concepts of loading data, data manipulation, data aggregation, and how to use libraries/packages in a simple manner.I will guide you step-by-step into the World of Data Analysis. With every lecture and lab exercise, you will gain and develop an understanding of these concepts to tackle real data problems! This course primarily uses Python to solve labs and capstone project(s).This course will be super useful and exciting. I've designed the course curriculum in the most natural, logical flow:· Module 0 - Intro to Python: set up the Python environment and understand the basics of Python packages/libraries· Module 1 - Load and Write Data: learn how to load and write data from flat files (e.g.,.csv or Excel format)· Module 2 - Data Types and Formatting: master the data types and learn how to convert data types for proper operations· Module 3 - Data Manipulation: clean and preprocess data, perform sorting, ordering, and subsetting records· Module 4 - Join Operations: learn how to perform joins using Python packages (e.g., pandas and SQL)· Module 5 - Data Aggregation: learn how to aggregate data using summary statistics and perform feature engineering· Module 6 - Time Intelligence: learn how to calculate business days and perform time dimension analysis· Module 7 - Data Visualization: learn the basics of exploratory data analysis (EDA) and uni-variate/bi-variate visualizationsEach module contains independent content. Technically, you can take the course from start to end or jump into any specific topics of interest. However, I highly recommend students to take the course from Module 1 to 7 in order to complete the capstone project challenge!This course is packed with real-world data/business problems that I solved during my career as a senior data analyst. You will learn not just concepts but also gain practical, hands-on experience from the course. Enroll today and take the first step towards mastering the art of data analysis using Python.
