The "Data Wrangling Project" course provides students with an opportunity to apply the knowledge gained throughout the specialization in a real-life data wrangling project of their interest. Participants will follow the data wrangling pipeline step by step, from identifying data sources to processing and integrating data, to achieve a fine dataset ready for analysis. This course enables students to gain hands-on experience in the data wrangling process and prepares them to handle complex data challenges in real-world scenarios.
Data Wrangling with Python Project
Data Wrangling with Python Project
本课程是 Data Wrangling with Python 专项课程 的一部分
位教师：Di Wu
访问权限由 Coursera Learning Team 提供
您将学到什么
Initiate and conduct a data wrangling project from raw data to a refined dataset for analysis.
Apply data wrangling techniques learned in the specialization to handle real-life data scenarios.
Utilize Python libraries and tools effectively for data wrangling tasks. Communicate and present data wrangling results effectively to stakeholders.
您将获得的技能
- Data Analysis
- Statistical Analysis
- Data Wrangling
- Data Collection
- Descriptive Statistics
- Data Manipulation
- Pivot Tables And Charts
- Data Cleansing
- Dimensionality Reduction
- Data Quality
- Data Processing
- Data Transformation
- Data Validation
- Data Visualization
- Exploratory Data Analysis
- Quality Assurance
- Data Mining
- Data Preprocessing
- Data Integration
- 技能部分已折叠。显示 10 项技能，共 19 项。
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作业
5 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 Data Wrangling with Python 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有5个模块
In this introductory week, you will gain an understanding of the data wrangling pipeline, which serves as a structured approach to transform raw data into a cleaned and organized dataset for analysis. You will learn the key stages involved in the pipeline, setting the foundation for the rest of the course.
涵盖的内容
3篇阅读材料1个作业
In this week, you will learn how to identify and define the scope and objectives of your data wrangling project. You will explore various data sources, understand their structure, and assess the suitability of each source for the project.
涵盖的内容
3篇阅读材料1个作业
This week covers the data collection and integration stage of the data wrangling process. You will learn techniques for data collection, validate the collected data, and integrate data from multiple sources.
涵盖的内容
3篇阅读材料1个作业
This week focuses on gaining a comprehensive understanding of the dataset through statistical analysis and data visualization. You will learn how to perform descriptive statistics, create informative visualizations, and conduct exploratory data analysis (EDA).
涵盖的内容
3篇阅读材料1个作业
In this week, you will delve into essential data processing and manipulation techniques. You will learn how to handle missing values, detect and handle outliers, perform data sampling and dimensionality reduction, apply data scaling and discretization, and explore data cubes and pivot tables.
涵盖的内容
9篇阅读材料1个作业1个讨论话题
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