中This Python for Data Visualization Analysis course provides a practical introduction to data visualization and exploratory data analysis (EDA) using Python. You will work with Matplotlib and Seaborn to create clear and effective visualizations, use Plotly to build interactive charts and dashboards, and apply advanced graphical techniques for EDA on complex datasets. Learn to present data clearly and extract meaningful insights through visual analysis.
Python for Data Visualization and Analysis
您将学到什么
Create impactful visualizations using Matplotlib and Seaborn to represent complex datasets effectively.
Build dynamic, interactive charts and dashboards with Plotly and IPyWidgets for enhanced data exploration.
Build dynamic, interactive charts and dashboards with Plotly and IPyWidgets for enhanced data exploration.
Deploy interactive data visualization applications seamlessly with Streamlit to share analysis results.
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作业
13 项作业
授课语言：英语（English）
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积累特定领域的专业知识
本课程是 Applied Data Analytics 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4个模块
In this module, learners will explore how to create various types of visualizations using Matplotlib. They will learn to apply these visuals to complex datasets, uncovering hidden insights that facilitate informed decision-making.
涵盖的内容
17个视频5篇阅读材料4个作业1个讨论话题1个插件
In this module, learners will delve into data visualization with Seaborn, mastering the creation of diverse plots while developing skills to customize and refine visuals for improved presentation and interactivity.
涵盖的内容
12个视频2篇阅读材料3个作业1个讨论话题
In this module, learners will explore how to create interactive plots using Plotly, enhance exploratory data analysis (EDA) with IPyWidgets, and build shareable web applications with Streamlit. They will also gain the skills to develop dynamic dashboards and interactive reports for effective data presentation.
涵盖的内容
24个视频3篇阅读材料5个作业1个讨论话题
This module is designed to assess an individual on the various concepts and teachings covered in this course. Evaluate your knowledge with a comprehensive graded quiz on data visualization concepts, Matploltlib, Seaborn, Plotly and Association rule mining.
涵盖的内容
1个视频1篇阅读材料1个作业1个讨论话题1个插件
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常见问题
This course is ideal for data analysts, aspiring data scientists, and Python programmers who want to develop skills in data visualization and exploratory data analysis using Python. A basic understanding of Python programming and familiarity with libraries like Pandas or NumPy is recommended.
No prior experience in data visualization is required. This course provides a step-by-step approach, starting with foundational concepts and progressing to advanced techniques using tools like Matplotlib, Seaborn, and Plotly.
By the end of the course, you’ll be able to:
- Design professional and interactive data visualizations.
- Perform EDA to uncover patterns and trends in data.
- Deploy data visualization applications using Streamlit.
更多问题
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