Data Visualization with Python

Data Visualization with Python

本课程是 Applied Python Data Engineering 专项课程的一部分

位教师：Matt Harrison

访问权限由 New York State Department of Labor 提供

4,517 人已注册

4个模块

深入了解一个主题并学习基础知识。

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中级等级

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9 小时完成

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4个模块

深入了解一个主题并学习基础知识。

26 条评论

中级等级

推荐体验

9 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Apply Python, spreadsheets, and BI tooling proficiently to create visually compelling and interactive data visualizations.
Formulate and communicate data-driven insights and narratives through impactful visualizations and data storytelling.
Assess and select the most suitable visualization tools and techniques to address organizational data needs and objectives.

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您将学习的工具

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作业

4 项作业

授课语言：英语（English）

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本课程是 Applied Python Data Engineering 专项课程专项课程的一部分

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该课程共有4个模块

In today's data-driven world, the ability to create compelling visualizations and tell impactful stories with data is a crucial skill. This comprehensive course will guide you through the process of visualization using coding tools with Python, spreadsheets, and BI (Business Intelligence) tooling. Whether you are a data analyst, a business professional, or an aspiring data storyteller, this course will provide you with the knowledge and best practices to excel in the art of visual storytelling.

Throughout the course, a consistent dataset will be used for exercises, enabling you to focus on mastering the visualization tools rather than getting caught up in the intricacies of the data. The emphasis is on practical application, allowing you to learn and practice the tools in a real-world context. To fully leverage the Python sections of this course, prior experience programming in Python is recommended. Additionally, a solid understanding of high-school level math is expected. Familiarity with the Pandas library will also be beneficial. By the end of this course, you will possess the necessary skills to become a proficient data storyteller and visual communicator. With the ability to create compelling visualizations and leverage the appropriate tools, you will be well-equipped to navigate the world of data and make informed decisions that drive meaningful impact.

In this module, we will introduce you to the fundamentals of data visualization and provide step-by-step guidance on how to get started with creating basic plots in Excel and Google Sheets. Whether you are new to data visualization or looking to enhance your skills, this week will lay the groundwork for effective visual storytelling using these widely accessible tools.

涵盖的内容

13个视频8篇阅读材料1个作业2个讨论话题

13个视频总计25分钟

Getting Started with Data Visualization 4分钟
Introduction to Excel for Visualization 1分钟
Creating a Line Plot in Excel 2分钟
Creating a Histogram in Excel 1分钟
Creating a Scatterplot in Excel 1分钟
Creating a Bar Plot in Excel 2分钟
Minimizing Clutter in Visualizations 2分钟
Introduction to Sheets for Visualization 0分钟
Creating a Line Graph in Sheets 2分钟
Creating a Histogram in Sheets 1分钟
Creating a Scatterplot in Sheets 1分钟
Creating Bar Plot in Sheets 2分钟
Optimizing Color for Visualizations 5分钟

8篇阅读材料总计75分钟

Course Structure 10分钟
Meet your Instructor: Matt Harrison 10分钟
Common Plots Refresher 10分钟
Report a problem with the course 5分钟
Getting Ready: Accessing Microsoft Excel 10分钟
Plotting Exercise: Excel 10分钟
Getting Ready: Accessing Google Sheets 10分钟
Plotting Exercise: Google Sheets 10分钟

1个作业总计30分钟

Data Visualization Fundamentals with Excel and Sheets 30分钟

2个讨论话题总计20分钟

Meet and Greet (optional) 10分钟
Plotting Exercise Discussion 10分钟

In this module, you will embark on an exciting journey of learning as you explore data visualization using Pandas, Seaborn and Matplotlib. You will use Pandas and Seaborn to construct histograms, which will allow you to gain insights into the distribution of your numerical data. You will also delve into scatterplots, enabling you to visualize the relationships between different variables in your datasets and identify patterns and correlations. Lastly, you will learn how to utilize line plots to capture temporal trends and changes over time, enhancing your ability to communicate data-driven narratives effectively.

涵盖的内容

19个视频7篇阅读材料1个作业1个讨论话题

19个视频总计66分钟

Exploring Basic Plots 7分钟
Cleaning your Data 6分钟
Creating a Line Plot with Pandas 9分钟
Creating a Bar Plot with Pandas 4分钟
Creating a Scatterplot with Pandas 3分钟
Creating More Complicated Plots with Pandas 1分钟
Creating a Heatmap with Pandas 7分钟
Creating a Slope Graph with Pandas 4分钟
Chaining Methods with Pandas 6分钟
Introduction to the Seaborn Library 1分钟
Creating a Line Plot with Seaborn 2分钟
Creating a Bar Plot with Seaborn 2分钟
Creating a Scatterplot with Seaborn 1分钟
Creating a Heatmap with Seaborn 1分钟
Creating a Slope Graph with Seaborn 2分钟
Introduction to Matplotlib in Python 1分钟
Customizing Text with Matplotlib 5分钟
Customizing Color with Matplotlib 2分钟
Customizing Axes with Matplotlib 3分钟

7篇阅读材料总计70分钟

Getting Ready: Accessing Python and Pandas 10分钟
Pandas Resample, Groupby, and Rolling (optional) 10分钟
Plotting Exercise: Pandas 10分钟
Getting Ready: Installing Seaborn 10分钟
Plotting Exercise: Seaborn 10分钟
Getting Ready: Installing Matplotlib Libraries 10分钟
Plotting Exercise: MatPlotLib 10分钟

1个作业总计30分钟

Data Visualization with Pandas, Seaborn and Matplotlib 30分钟

1个讨论话题总计10分钟

Plotting Exercise Discussion 10分钟

In this module, you will explore the powerful combination of Plotly, Dash, and Streamlit for creating interactive and dynamic visualizations within a dashboard. You will use Plotly to create visually appealing histograms, scatterplots, and line plots that can be embedded within a dashboard. You will also dive into Dash and Streamlit, two popular Python frameworks for building interactive web-based dashboards. By the end of the week, you will be able to apply your knowledge and create a comprehensive dashboard that incorporates these visualizations, enabling users to explore and interact with your data.

涵盖的内容

15个视频6篇阅读材料1个作业1个讨论话题

15个视频总计27分钟

Introduction to Plotly 2分钟
Creating a Line Plot with Plotly 3分钟
Creating a Bar Plot with Plotly 1分钟
Creating a Scatterplot with Plotly 1分钟
Creating a Heatmap with Plotly 2分钟
Creating a Slope Graph with Plotly 2分钟
Introduction to Dash 0分钟
Creating a Line Plot with Dash 3分钟
Creating a Bar Plot with Dash 3分钟
Creating a Scatterplot with Dash 5分钟
Introduction to Streamlit 0分钟
Creating a Line Plot with Streamlit 1分钟
Creating a Bar Plot with Streamlit 1分钟
Connecting a Widget to a Plot in Streamlit 2分钟
Creating a Scatterplot with Streamlit 2分钟

6篇阅读材料总计60分钟

Getting Ready: Accessing Plotly 10分钟
Plotting Exercise: Plotly 10分钟
Getting Ready: Accessing Dash 10分钟
Plotting Exercise: Dash 10分钟
Getting Ready: Accessing Streamlit 10分钟
Plotting Exercise: Streamlit 10分钟

1个作业总计30分钟

Data Visualization with Plotly, Dash and Streamlit 30分钟

1个讨论话题总计10分钟

Plotting Exercise Discussion 10分钟

In this module, you will dive into two cloud-based tools, Tableau and Amazon QuickSight, to create compelling visualizations, and gain insights from your data in a user-friendly and interactive manner. You will first use Tableau to design and create histograms, scatterplots, and line plots that effectively showcase your data. You will then use Amazon QuickSight, an intuitive and cloud-based business intelligence tool, to create visually appealing and interactive visualizations. By the end of the week, you will be able to apply your knowledge and create captivating visualizations using these platforms.