University of Colorado Boulder
Data Wrangling with Python 专项课程
University of Colorado Boulder

Data Wrangling with Python 专项课程

Launch your career in Data Science. By mastering the skills and techniques covered in these courses, students will be better equipped to handle the challenges of real-world data analysis.

Di Wu

位教师:Di Wu

1,799 人已注册

包含在 Coursera Plus

深入学习学科知识
4.7

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初级 等级

推荐体验

2 月 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
深入学习学科知识
4.7

(31 条评论)

初级 等级

推荐体验

2 月 完成
在 10 小时 一周
灵活的计划
自行安排学习进度

您将学到什么

  • Define techniques and methods for collecting data from various sources including files, web, databases, etc.

  • Identify statistical analysis and visualization techniques that can be used to gain insights into the data.

  • Calculate and apply techniques for data preprocessing such as dealing with missing values, outliers, sampling, normalization, and discretization.

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授课语言:英语(English)

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精进特定领域的专业知识

  • 向大学和行业专家学习热门技能
  • 借助实践项目精通一门科目或一个工具
  • 培养对关键概念的深入理解
  • 通过 University of Colorado Boulder 获得职业证书

专业化 - 5门课程系列

Fundamental Tools of Data Wrangling

Fundamental Tools of Data Wrangling

第 1 门课程26小时

您将学到什么

  • You will be able to describe the fundamentals of programming in Python.

  • You will be able to identify data structures for efficient organization and manipulation of data.

  • You will practice using NumPy and Pandas for numerical computing, data manipulation, and analysis.

您将获得的技能

类别:Python Programming
类别:Data Structures
类别:Data Wrangling
类别:Pandas (Python Package)
类别:Data Manipulation
类别:NumPy
类别:Data Transformation
类别:Exploratory Data Analysis
类别:Jupyter
类别:Scripting
类别:Data Cleansing
类别:Data Integration
类别:Data Analysis
类别:Statistical Analysis
Data Collection and Integration

Data Collection and Integration

第 2 门课程28小时

您将学到什么

  • How to utilize Python and Python packages to collect data from various sources

  • How to integrate data collected from various sources to a unified dataset for further processing and analysis

您将获得的技能

类别:Data Collection
类别:Data Integration
类别:Pandas (Python Package)
类别:SQL
类别:Databases
类别:Web Scraping
类别:Application Programming Interface (API)
类别:Data Import/Export
类别:Data Processing
类别:Data Cleansing
类别:Query Languages
类别:Data Manipulation
类别:Extensible Markup Language (XML)
类别:Data Quality
Data Understanding and Visualization

Data Understanding and Visualization

第 3 门课程25小时

您将学到什么

  • Understand and communicate the various statistical aspects of datasets, including measures of central tendency, variation, location, and correlation.

  • Utilize Pandas for data manipulation and preparation to set the foundation for data visualization.

  • Utilize Matplotlib and Seaborn to create accurate and meaningful data visualizations.

您将获得的技能

类别:Scatter Plots
类别:Box Plots
类别:Seaborn
类别:Pandas (Python Package)
类别:Data Visualization Software
类别:Matplotlib
类别:Correlation Analysis
类别:Descriptive Statistics
类别:Python Programming
类别:Data Presentation
类别:Statistical Visualization
类别:Statistical Analysis
类别:Plot (Graphics)
类别:Exploratory Data Analysis
类别:Data Analysis
类别:Statistical Methods
类别:Data Manipulation
类别:Data Visualization
类别:Data Storytelling
类别:Statistics
Data Processing and Manipulation

Data Processing and Manipulation

第 4 门课程28小时

您将学到什么

  • Understand the importance of data processing and manipulation in the data analysis pipeline.

  • Learn techniques to handle missing values and outliers, data reduction, and data scaling and discretization.

  • Understand the concept of data cube and perform multidimensional aggregation for exploratory analysis.

您将获得的技能

类别:Data Warehousing
类别:Pivot Tables And Charts
类别:Sampling (Statistics)
类别:Dimensionality Reduction
类别:Data Cleansing
类别:Anomaly Detection
类别:Data Transformation
类别:Feature Engineering
类别:Data Quality
类别:Exploratory Data Analysis
类别:Data Manipulation
类别:Data Processing
Data Wrangling with Python Project

Data Wrangling with Python Project

第 5 门课程25小时

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

类别:Data Wrangling
类别:Data Validation
类别:Pivot Tables And Charts
类别:Data Cleansing
类别:Data Transformation
类别:Data Integration
类别:Exploratory Data Analysis
类别:Dimensionality Reduction
类别:Data Collection
类别:Data Mining
类别:Statistical Visualization
类别:Statistical Analysis
类别:Data Visualization
类别:Data Manipulation
类别:Data Quality
类别:Data Analysis
类别:Data Processing

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位教师

Di Wu
University of Colorado Boulder
21 门课程53,808 名学生

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