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David Dalsveen
Visualizing data is used by virtually every discipline these days. It is used for analyzing web traffic to determine peak server load, growth and death rate of populations for biological analysis, analyzing weather patterns over time, stock market trends, and so on. Simply put, Data Visualization brings meaning to numbers that help people understand it. Seeing the data change can draw attention to trends and spikes that may otherwise go unnoticed. Python is an open-source (free) programming language has libraries that can be used to read and make useful graphics to present the data.
Read more
Visualizing data is used by virtually every discipline these days. It is used for analyzing web traffic to determine peak server load, growth and death rate of populations for biological analysis, analyzing weather patterns over time, stock market trends, and so on. Simply put, Data Visualization brings meaning to numbers that help people understand it. Seeing the data change can draw attention to trends and spikes that may otherwise go unnoticed. Python is an open-source (free) programming language has libraries that can be used to read and make useful graphics to present the data.
Read more
Visualizing data is used by virtually every discipline these days. It is used for analyzing web traffic to determine peak server load, growth and death rate of populations for biological analysis, analyzing weather patterns over time, stock market trends, and so on. Simply put, Data Visualization brings meaning to numbers that help people understand it. Seeing the data change can draw attention to trends and spikes that may otherwise go unnoticed. Python is an open-source (free) programming language has libraries that can be used to read and make useful graphics to present the data.
In this course, you will create an application that reads data from CSV files. You will learn how to visualize the data using various techniques using existing Python libraries.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/998zfb/data
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What's inside
Syllabus
Data Visualization with Python
Visualizing data is used by virtually every discipline these days. It is used for analyzing web traffic to determine peak server load, growth and death rate of populations for biological analysis, analyzing weather patterns over time, stock market trends, and so on. Simply put, Data Visualization brings meaning to numbers that help people understand it. Seeing the data change can draw attention to trends and spikes that may otherwise go unnoticed. Python is an open-source (free) programming language has libraries that can be used to read and make useful graphics to present the data.
In this course, you will create an application that reads data from CSV files. You will learn how to visualize the data using various techniques using existing Python libraries.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops skills in visualizing data using Python libraries, which prepares learners for careers in data science and analytics
Builds a strong foundation in data visualization using Python, which is highly relevant in industries that rely on data-driven decision-making
Taught by David Dalsveen, an experienced instructor in data visualization
This course works best for learners who are based in the North America region
Save this course
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Data Visualization with Python with these
activities:
Organize Course Materials and Notes
Show steps
Keep your course materials organized for easy reference and future review.
Show steps
-
Create a system for organizing your notes, assignments, and quizzes.
-
Review and summarize your notes regularly to reinforce your understanding.
-
Consider using a digital note-taking app or software for convenience.
Practice Python Basics
Show steps
Review the fundamentals of Python to ensure a strong foundation for the upcoming course.
Browse courses on
Python Basics
Show steps
-
Loop through a list of numbers and print each number.
-
Write a function to calculate the average of a list of numbers.
Review Python Syntax and Basics
Show steps
Refresh your Python skills to ensure you have a good foundation for working with data.
Browse courses on
Python Basics
Show steps
-
Review the Python documentation on data types, variables, and operators.
-
Practice writing and running simple Python scripts.
11 other activities
Expand to see all activities and additional details
Show all 14 activities
Join a Study Group or Online Forum
Show steps
Connect with peers, discuss concepts, and get feedback on your work.
Show steps
-
Find a study group or online forum related to data visualization with Python.
-
Participate in discussions, ask questions, and share your insights.
Watch a tutorial on Python libraries for data visualization
Show steps
Introduce you to the libraries you will use in the course and how to use them to visualize data.
Browse courses on
Python Libraries
Show steps
-
Search for a tutorial on YouTube or another online platform.
-
Watch the tutorial and take notes on the key concepts.
-
Try out the code examples provided in the tutorial.
Follow Python Data Visualization Tutorials
Show steps
Enhance your understanding of data visualization techniques by exploring online tutorials.
Show steps
-
Find a tutorial on creating bar charts using Python.
-
Follow the tutorial and create your own bar chart using provided data.
Follow Tutorials on Data Visualization with Python
Show steps
Build your skills in data visualization using Python to effectively convey insights from data.
Show steps
-
Find online tutorials or courses that cover data visualization with Python.
-
Follow the tutorials, completing the exercises and projects.
-
Experiment with different data sets and visualization techniques.
Create a collection of resources on data visualization
Show steps
Provide you with a valuable reference point for future learning and development.
Browse courses on
Python Libraries
Show steps
-
Gather resources from various online sources.
-
Organize the resources into categories and subcategories.
-
Create a document or website to share your collection with others.
Discuss Data Visualization Techniques
Show steps
Engage with fellow learners to share insights and improve your understanding.
Show steps
-
Join a study group or online forum.
-
Share your ideas and ask questions about data visualization techniques.
Create a data visualization dashboard
Show steps
Allow you to apply the skills you learn in the course to a real-world scenario.
Show steps
-
Choose a dataset and define the metrics you want to visualize.
-
Design the layout of your dashboard.
-
Implement the visualizations using Python libraries.
-
Deploy your dashboard online.
Analyze Data with Code
Show steps
Reinforce your ability to read and interpret data by completing coding exercises.
Browse courses on
Data Analysis
Show steps
-
Download a dataset from the course materials.
-
Write Python code to clean and prepare the data.
-
Use Python libraries to visualize and analyze the data.
Create Data Visualizations for a Real-World Dataset
Show steps
Apply your data visualization skills to a real-world dataset to gain hands-on experience and build your portfolio.
Show steps
-
Find a publicly available dataset that interests you.
-
Clean and prepare the data for visualization.
-
Choose appropriate visualization techniques to convey the insights.
-
Create interactive or static visualizations using Python libraries.
-
Present your visualizations and insights in a clear and compelling way.
Develop a Data Visualization Dashboard
Show steps
Apply your knowledge to create a practical tool that showcases your data visualization skills.
Browse courses on
Data Visualization
Show steps
-
Choose a dataset and identify the key insights you want to convey.
-
Design the layout and visual elements of the dashboard.
-
Implement the dashboard using Python libraries such as Plotly or Dash.
Mentor Junior Learners or Students
Show steps
Reinforce your understanding by helping others learn about data visualization.
Show steps
-
Find opportunities to mentor or tutor junior learners or students in data visualization.
-
Prepare materials and lesson plans to effectively convey concepts.
-
Provide guidance and support to your mentees, answering their questions and giving feedback.
Organize Course Materials and Notes
Show steps
Keep your course materials organized for easy reference and future review.
Show steps
Show steps
Show steps
- Create a system for organizing your notes, assignments, and quizzes.
- Review and summarize your notes regularly to reinforce your understanding.
- Consider using a digital note-taking app or software for convenience.
Practice Python Basics
Show steps
Review the fundamentals of Python to ensure a strong foundation for the upcoming course.
Browse courses on
Python Basics
Show steps
Show steps
Show steps
- Loop through a list of numbers and print each number.
- Write a function to calculate the average of a list of numbers.
Review Python Syntax and Basics
Show steps
Refresh your Python skills to ensure you have a good foundation for working with data.
Browse courses on
Python Basics
Show steps
Show steps
Show steps
- Review the Python documentation on data types, variables, and operators.
- Practice writing and running simple Python scripts.
11 other activities
Expand to see all activities and additional details
Show all 14 activities
Join a Study Group or Online Forum
Show steps
Connect with peers, discuss concepts, and get feedback on your work.
Show steps
Show steps
Show steps
- Find a study group or online forum related to data visualization with Python.
- Participate in discussions, ask questions, and share your insights.
Watch a tutorial on Python libraries for data visualization
Show steps
Introduce you to the libraries you will use in the course and how to use them to visualize data.
Browse courses on
Python Libraries
Show steps
Show steps
Show steps
- Search for a tutorial on YouTube or another online platform.
- Watch the tutorial and take notes on the key concepts.
- Try out the code examples provided in the tutorial.
Follow Python Data Visualization Tutorials
Show steps
Enhance your understanding of data visualization techniques by exploring online tutorials.
Show steps
Show steps
Show steps
- Find a tutorial on creating bar charts using Python.
- Follow the tutorial and create your own bar chart using provided data.
Follow Tutorials on Data Visualization with Python
Show steps
Build your skills in data visualization using Python to effectively convey insights from data.
Show steps
Show steps
Show steps
- Find online tutorials or courses that cover data visualization with Python.
- Follow the tutorials, completing the exercises and projects.
- Experiment with different data sets and visualization techniques.
Create a collection of resources on data visualization
Show steps
Provide you with a valuable reference point for future learning and development.
Browse courses on
Python Libraries
Show steps
Show steps
Show steps
- Gather resources from various online sources.
- Organize the resources into categories and subcategories.
- Create a document or website to share your collection with others.
Discuss Data Visualization Techniques
Show steps
Engage with fellow learners to share insights and improve your understanding.
Show steps
Show steps
Show steps
- Join a study group or online forum.
- Share your ideas and ask questions about data visualization techniques.
Create a data visualization dashboard
Show steps
Allow you to apply the skills you learn in the course to a real-world scenario.
Show steps
Show steps
Show steps
- Choose a dataset and define the metrics you want to visualize.
- Design the layout of your dashboard.
- Implement the visualizations using Python libraries.
- Deploy your dashboard online.
Analyze Data with Code
Show steps
Reinforce your ability to read and interpret data by completing coding exercises.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Download a dataset from the course materials.
- Write Python code to clean and prepare the data.
- Use Python libraries to visualize and analyze the data.
Create Data Visualizations for a Real-World Dataset
Show steps
Apply your data visualization skills to a real-world dataset to gain hands-on experience and build your portfolio.
Show steps
Show steps
Show steps
- Find a publicly available dataset that interests you.
- Clean and prepare the data for visualization.
- Choose appropriate visualization techniques to convey the insights.
- Create interactive or static visualizations using Python libraries.
- Present your visualizations and insights in a clear and compelling way.
Develop a Data Visualization Dashboard
Show steps
Apply your knowledge to create a practical tool that showcases your data visualization skills.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a dataset and identify the key insights you want to convey.
- Design the layout and visual elements of the dashboard.
- Implement the dashboard using Python libraries such as Plotly or Dash.
Mentor Junior Learners or Students
Show steps
Reinforce your understanding by helping others learn about data visualization.
Show steps
Show steps
Show steps
- Find opportunities to mentor or tutor junior learners or students in data visualization.
- Prepare materials and lesson plans to effectively convey concepts.
- Provide guidance and support to your mentees, answering their questions and giving feedback.
Career center
Learners who complete Data Visualization with Python will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts use data visualization to identify trends and patterns in data. This course can help you build a foundation in data visualization using Python, which is a valuable skill for Data Analysts. You will learn how to read data from CSV files and visualize it using various techniques, which will help you to effectively communicate your findings to stakeholders.
Data Scientist
Data Scientist
Data Scientists use data visualization to communicate their findings to stakeholders. This course can help you build a foundation in data visualization using Python, which is a valuable skill for Data Scientists. You will learn how to read data from CSV files and visualize it using various techniques, which will help you to effectively communicate your findings to stakeholders.
Business Analyst
Business Analyst
Business Analysts use data visualization to identify opportunities and solve problems. This course can help you build a foundation in data visualization using Python, which is a valuable skill for Business Analysts. You will learn how to read data from CSV files and visualize it using various techniques, which will help you to effectively communicate your findings to stakeholders.
Market Researcher
Market Researcher
Market Researchers use data visualization to understand consumer behavior and trends. This course can help you build a foundation in data visualization using Python, which is a valuable skill for Market Researchers. You will learn how to read data from CSV files and visualize it using various techniques, which will help you to effectively communicate your findings to stakeholders.
Financial Analyst
Financial Analyst
Financial Analysts use data visualization to analyze financial data and make investment recommendations. This course can help you build a foundation in data visualization using Python, which is a valuable skill for Financial Analysts. You will learn how to read data from CSV files and visualize it using various techniques, which will help you to effectively communicate your findings to stakeholders.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data visualization to improve business processes. This course can help you build a foundation in data visualization using Python, which is a valuable skill for Operations Research Analysts. You will learn how to read data from CSV files and visualize it using various techniques, which will help you to effectively communicate your findings to stakeholders.
Software Engineer
Software Engineer
Software Engineers use data visualization to debug code and identify performance issues. This course can help you build a foundation in data visualization using Python, which is a valuable skill for Software Engineers. You will learn how to read data from CSV files and visualize it using various techniques, which will help you to effectively communicate your findings to stakeholders.
Web Developer
Web Developer
Web Developers use data visualization to track website traffic and user behavior. This course can help you build a foundation in data visualization using Python, which is a valuable skill for Web Developers. You will learn how to read data from CSV files and visualize it using various techniques, which will help you to effectively communicate your findings to stakeholders.
Data Engineer
Data Engineer
Data Engineers use data visualization to design and build data pipelines. This course can help you build a foundation in data visualization using Python, which is a valuable skill for Data Engineers. You will learn how to read data from CSV files and visualize it using various techniques, which will help you to effectively communicate your findings to stakeholders.
Database Administrator
Database Administrator
Database Administrators use data visualization to monitor database performance and identify bottlenecks. This course can help you build a foundation in data visualization using Python, which is a valuable skill for Database Administrators. You will learn how to read data from CSV files and visualize it using various techniques, which will help you to effectively communicate your findings to stakeholders.
Technical Writer
Technical Writer
Technical Writers use data visualization to create user manuals and other documentation. This course can help you build a foundation in data visualization using Python, which is a valuable skill for Technical Writers. You will learn how to read data from CSV files and visualize it using various techniques, which will help you to effectively communicate your findings to stakeholders.
Product Manager
Product Manager
Product Managers use data visualization to track product usage and identify areas for improvement. This course can help you build a foundation in data visualization using Python, which is a valuable skill for Product Managers. You will learn how to read data from CSV files and visualize it using various techniques, which will help you to effectively communicate your findings to stakeholders.
Project Manager
Project Manager
Project Managers use data visualization to track project progress and identify risks. This course can help you build a foundation in data visualization using Python, which is a valuable skill for Project Managers. You will learn how to read data from CSV files and visualize it using various techniques, which will help you to effectively communicate your findings to stakeholders.
Marketing Manager
Marketing Manager
Marketing Managers use data visualization to track marketing campaigns and identify areas for improvement. This course can help you build a foundation in data visualization using Python, which is a valuable skill for Marketing Managers. You will learn how to read data from CSV files and visualize it using various techniques, which will help you to effectively communicate your findings to stakeholders.
Sales Manager
Sales Manager
Sales Managers use data visualization to track sales performance and identify areas for improvement. This course can help you build a foundation in data visualization using Python, which is a valuable skill for Sales Managers. You will learn how to read data from CSV files and visualize it using various techniques, which will help you to effectively communicate your findings to stakeholders.
For more career information including salaries, visit:
OpenCourser.com/course/998zfb/data
Reading list
We've selected 18 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Data Visualization with Python.
This includes deep conceptual explanations of data science and manipulation. It's a helpful supplemental resource for a deeper understanding of the theoretical aspects.
Provides a comprehensive overview of Python for data analysis. It useful reference for learning more about Python and its libraries.
Save
Provides a comprehensive overview of data visualization, covering the principles, techniques, and tools used to create effective visualizations.
Goes into the fundamental principles of data visualization. It is helpful as a supplemental reader to understand the concepts covered in the course.
Provides an accessible introduction to machine learning concepts. It can help learners understand the broader context of data visualization in machine learning.
Save
Provides a broad perspective on data visualization, covering design principles and statistical concepts. It beneficial resource for expanding knowledge beyond the course.
This covers advanced data visualization and interactive techniques that can extend the learning in the course.
Emphasizes the art of storytelling through data visualization. It complements the course's technical focus by providing insights into effective communication.
Save
Provides a comprehensive guide to data visualization using Tableau, covering the basics of data manipulation, cleaning, and visualization.
Save
This practical guide for data visualization using Tableau. It offers additional techniques and perspectives and could be useful for those wanting to see another tool in action.
Provides core principles for data visualization and helps in understanding different types of charts and their effectiveness.
Focuses on data visualization using JavaScript. It useful companion reader for those interested in extending their skills to web-based visualization.
Focuses specifically on data visualization in R using ggplot2. While it may not directly align with the course, it offers a valuable perspective for those interested in exploring another programming language.
Provides a comprehensive guide to data visualization using D3.js, covering the basics of data manipulation, cleaning, and visualization.
Provides a comprehensive guide to data science using Python, covering the basics of data manipulation, cleaning, and visualization.
Save
Provides a non-technical introduction to data visualization, covering the principles of effective communication and the use of data to tell stories.
Provides a beginner-friendly introduction to data visualization, covering the basics of data manipulation, cleaning, and visualization.
Save
Provides a classic guide to data visualization, covering the principles of effective communication and the use of data to tell stories.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/998zfb/data
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Effort
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Via
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Institution
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Instructor
David Dalsveen
Language
English
Good to know
Develops skills in visualizing data using Python libraries, which prepares learners for careers in data science and analytics
Builds a strong foundation in data visualization using Python, which is highly relevant in industries that rely on data-driven decision-making
Taught by David Dalsveen, an experienced instructor in data visualization
This course works best for learners who are based in the North America region
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