We may earn an affiliate commission when you visit our partners.
Vinita Silaparasetty
This guided project is for absolute beginners in data science who want to learn about geovisualization using Python.
Generate two interactive maps in under an hour, just like this: https://vinitasilaparasetty.github.io/covid-map/
While you are watching me code, you will get a cloud desktop with all the required software pre-installed. This will allow you to code along with me. After all, we learn best with active, hands-on learning.
By the end of this project, you will know how to access data via APIs, convert encoded UTF-8 data to JSON, normalize json data to create a pandas data frame, generate a choropleth map, generate...
Read more
This guided project is for absolute beginners in data science who want to learn about geovisualization using Python.
Generate two interactive maps in under an hour, just like this: https://vinitasilaparasetty.github.io/covid-map/
While you are watching me code, you will get a cloud desktop with all the required software pre-installed. This will allow you to code along with me. After all, we learn best with active, hands-on learning.
By the end of this project, you will know how to access data via APIs, convert encoded UTF-8 data to JSON, normalize json data to create a pandas data frame, generate a choropleth map, generate...
Read more
This guided project is for absolute beginners in data science who want to learn about geovisualization using Python.
Generate two interactive maps in under an hour, just like this: https://vinitasilaparasetty.github.io/covid-map/
While you are watching me code, you will get a cloud desktop with all the required software pre-installed. This will allow you to code along with me. After all, we learn best with active, hands-on learning.
By the end of this project, you will know how to access data via APIs, convert encoded UTF-8 data to JSON, normalize json data to create a pandas data frame, generate a choropleth map, generate markers, work with geo data and generate heat maps.
Special Features:
1) Learn a cool hack using one line of code to convert a jupyter nootebook into a dashboard.
2) Work with "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University"
3)After you complete this project, you get a jupyter notebook of all the work you covered (including gifs). It acts as a useful learning tool that you can refer to at any time in the future.
4) Important terminology and definitions are explained.
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/szdfz9/python
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches essential foundational concepts in data science, making it a great option for beginners
Provides practical, hands-on learning through active coding exercises
Introduces essential data science tools and techniques, including data visualization, data cleaning, and data analysis
Guided by experienced instructors with expertise in the field
Utilizes up-to-date technologies and industry-standard software
Offers interactive and engaging learning materials, such as videos, demonstrations, and quizzes
Save this course
Save Python World Map Geovisualization Dashboard using Covid Data to your list so you can find it easily later:
Save
Save
Reviews summary
Geovisualization with python
This beginner-friendly course teaches you how to create interactive maps using Python. You'll learn how to access data via APIs, convert data to JSON, and generate choropleth maps, markers, and heat maps. The course provides a cloud desktop with all the necessary software pre-installed, allowing you to code along with the instructor. While some students found the course engaging and informative, others experienced technical difficulties and felt the content was limited or shallow.
The course delivers on what is promised in its description.
"the course reflects exactly of the course title and nothing more and nothing less."
The instructor provides clear and easy-to-follow explanations.
"well explained and easy to understand."
The course teaches practical skills that can be applied to real-world projects.
"You can aply this for other geovisualization projects"
Many students found the course interesting and engaging.
"good"
"Very precise"
"Very Nice course.."
"Very informative! "
"I want to learn more about folium."
"it was an interesting experience."
The course is shorter than some students expected.
"Shorter than I thought"
Some students felt that the instructor lacked responsiveness and didn't provide sufficient assistance with technical problems.
"it would be nice if there would be a schedule for the instructor to assist in some difficulties of the students."
"I even reached out to the instructor on Twitter but got no response."
Students with little to no prior Python knowledge may struggle with the course content.
"I had no previous experience with Python or any sort of programming tools before enrolling."
"I struggled a lot along the course"
Some students faced technical issues and found the provided code had errors.
"the tool didn't work,!!!!"
"so many errors arise while working on the rhym desktop"
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 Python World Map Geovisualization Dashboard using Covid Data with these
activities:
Reach out to professionals in the data science field for mentorship.
Show steps
Connect with experienced professionals who can provide guidance and support as you progress in your data science journey.
Show steps
-
Identify potential mentors who align with your interests.
-
Craft a personalized message introducing yourself and expressing your interest in mentorship.
-
Schedule a meeting or call to discuss your goals and explore the mentorship opportunity.
Practice with Python coding exercises for data visualization.
Show steps
Reinforce Python coding skills by completing exercises that are focused on data visualization.
Browse courses on
Python
Show steps
-
Find a set of coding exercises that focus on data visualization.
-
Complete a few exercises to practice your skills.
-
Review your solutions and identify areas for improvement.
Read "Data Visualization: A Practical Introduction" by Kieran Healy.
Show steps
Gain a comprehensive understanding of data visualization principles and techniques through this introductory book.
View
Data Visualization: A Practical Introduction
on Amazon
Show steps
-
Read through the book, taking notes and highlighting important concepts.
-
Complete the exercises and activities provided in the book.
-
Discuss the key takeaways from the book with a study partner or mentor.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow tutorials on creating interactive maps with Python.
Show steps
Acquire hands-on experience in creating interactive maps by following guided tutorials that walk you through the process.
Browse courses on
Python
Show steps
-
Search for tutorials on creating interactive maps with Python.
-
Select a tutorial that matches your skill level and interests.
-
Follow the tutorial step-by-step, creating your own interactive map.
Create a data visualization dashboard using the skills you've learned.
Show steps
Apply your newfound skills to create a data visualization dashboard that showcases your understanding of data visualization techniques.
Browse courses on
Data Visualization
Show steps
-
Gather a dataset that you want to visualize.
-
Choose a visualization tool to create your dashboard.
-
Design and create your dashboard, including interactive elements.
Attend workshops on advanced data visualization techniques.
Show steps
Expand your knowledge and skills by attending workshops that focus on advanced data visualization techniques.
Browse courses on
Data Visualization
Show steps
-
Research and identify upcoming workshops on advanced data visualization.
-
Register for a workshop that aligns with your interests and goals.
-
Attend the workshop and actively participate in the activities and discussions.
Participate in data visualization competitions.
Show steps
Test your skills and gain valuable feedback by participating in data visualization competitions.
Browse courses on
Data Visualization
Show steps
-
Research and identify relevant data visualization competitions.
-
Select a competition that aligns with your interests and skill level.
-
Create a data visualization submission according to the competition guidelines.
Reach out to professionals in the data science field for mentorship.
Show steps
Connect with experienced professionals who can provide guidance and support as you progress in your data science journey.
Show steps
Show steps
Show steps
- Identify potential mentors who align with your interests.
- Craft a personalized message introducing yourself and expressing your interest in mentorship.
- Schedule a meeting or call to discuss your goals and explore the mentorship opportunity.
Practice with Python coding exercises for data visualization.
Show steps
Reinforce Python coding skills by completing exercises that are focused on data visualization.
Browse courses on
Python
Show steps
Show steps
Show steps
- Find a set of coding exercises that focus on data visualization.
- Complete a few exercises to practice your skills.
- Review your solutions and identify areas for improvement.
Read "Data Visualization: A Practical Introduction" by Kieran Healy.
Show steps
Gain a comprehensive understanding of data visualization principles and techniques through this introductory book.
View
Data Visualization: A Practical Introduction
on Amazon
Show steps
Show steps
Show steps
- Read through the book, taking notes and highlighting important concepts.
- Complete the exercises and activities provided in the book.
- Discuss the key takeaways from the book with a study partner or mentor.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow tutorials on creating interactive maps with Python.
Show steps
Acquire hands-on experience in creating interactive maps by following guided tutorials that walk you through the process.
Browse courses on
Python
Show steps
Show steps
Show steps
- Search for tutorials on creating interactive maps with Python.
- Select a tutorial that matches your skill level and interests.
- Follow the tutorial step-by-step, creating your own interactive map.
Create a data visualization dashboard using the skills you've learned.
Show steps
Apply your newfound skills to create a data visualization dashboard that showcases your understanding of data visualization techniques.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Gather a dataset that you want to visualize.
- Choose a visualization tool to create your dashboard.
- Design and create your dashboard, including interactive elements.
Attend workshops on advanced data visualization techniques.
Show steps
Expand your knowledge and skills by attending workshops that focus on advanced data visualization techniques.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Research and identify upcoming workshops on advanced data visualization.
- Register for a workshop that aligns with your interests and goals.
- Attend the workshop and actively participate in the activities and discussions.
Participate in data visualization competitions.
Show steps
Test your skills and gain valuable feedback by participating in data visualization competitions.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Research and identify relevant data visualization competitions.
- Select a competition that aligns with your interests and skill level.
- Create a data visualization submission according to the competition guidelines.
Career center
Learners who complete Python World Map Geovisualization Dashboard using Covid Data will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts work with structured and unstructured data to find trends and patterns that can help organizations make better decisions. This course can help you develop the skills you need to become a Data Analyst, including data visualization, data analysis, and data mining. You will also learn how to use Python, a popular programming language for data analysis.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems and make better decisions. This course can help you develop the skills you need to become a Data Scientist, including data visualization, data analysis, and machine learning. You will also learn how to use Python, a popular programming language for data science.
Business Analyst
Business Analyst
Business Analysts help organizations improve their performance by analyzing data and identifying opportunities for improvement. This course can help you develop the skills you need to become a Business Analyst, including data visualization, data analysis, and business process improvement. You will also learn how to use Python, a popular programming language for business analysis.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. This course can help you develop the skills you need to become a Product Manager, including data visualization, data analysis, and market research. You will also learn how to use Python, a popular programming language for product management.
Marketing Analyst
Marketing Analyst
Marketing Analysts help organizations understand their customers and develop effective marketing campaigns. This course can help you develop the skills you need to become a Marketing Analyst, including data visualization, data analysis, and market research. You will also learn how to use Python, a popular programming language for marketing analysis.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to help organizations make better decisions. This course can help you develop the skills you need to become a Statistician, including data visualization, data analysis, and statistical modeling. You will also learn how to use Python, a popular programming language for statistics.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course can help you develop the skills you need to become a Software Engineer, including data visualization, data analysis, and software development. You will also learn how to use Python, a popular programming language for software engineering.
Data Engineer
Data Engineer
Data Engineers build and maintain the infrastructure that stores and processes data. This course can help you develop the skills you need to become a Data Engineer, including data visualization, data analysis, and data engineering. You will also learn how to use Python, a popular programming language for data engineering.
Web Developer
Web Developer
Web Developers design and develop websites and web applications. This course can help you develop the skills you need to become a Web Developer, including data visualization, data analysis, and web development. You will also learn how to use Python, a popular programming language for web development.
UX Designer
UX Designer
UX Designers create user-friendly and intuitive interfaces for websites and web applications. This course can help you develop the skills you need to become a UX Designer, including data visualization, data analysis, and user experience design. You will also learn how to use Python, a popular programming language for UX design.
Technical Writer
Technical Writer
Technical Writers create documentation for software, hardware, and other technical products. This course can help you develop the skills you need to become a Technical Writer, including data visualization, data analysis, and technical writing. You will also learn how to use Python, a popular programming language for technical writing.
Product Designer
Product Designer
Product Designers create products that are both functional and desirable. This course can help you develop the skills you need to become a Product Designer, including data visualization, data analysis, and product design. You will also learn how to use Python, a popular programming language for product design.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data to solve complex problems in a variety of industries. This course can help you develop the skills you need to become an Operations Research Analyst, including data visualization, data analysis, and optimization. You will also learn how to use Python, a popular programming language for operations research.
Financial Analyst
Financial Analyst
Financial Analysts use data to evaluate investments and make recommendations to clients. This course can help you develop the skills you need to become a Financial Analyst, including data visualization, data analysis, and financial analysis. You will also learn how to use Python, a popular programming language for financial analysis.
Epidemiologist
Epidemiologist
Epidemiologists study the distribution and determinants of health-related states or events (including disease), and the application of this study to the control of diseases and other health problems. This course can help you develop the skills you need to become an Epidemiologist, including data visualization, data analysis, and epidemiology. You will also learn how to use Python, a popular programming language for epidemiology.
For more career information including salaries, visit:
OpenCourser.com/course/szdfz9/python
Reading list
We've selected seven 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
Python World Map Geovisualization Dashboard using Covid Data.
This practical guide provides a comprehensive overview of core Python data science tools, techniques, and concepts.
This textbook provides a comprehensive overview of the field of GIS, covering topics such as data acquisition, processing, analysis, and visualization.
This textbook provides a comprehensive overview of spatial data analysis methods, covering topics such as spatial autocorrelation, kriging, and GIS-based analysis.
Provides a comprehensive overview of web mapping, covering principles, techniques, and tools.
Provides a practical introduction to geospatial analysis using the R programming language.
Save
Provides a practical introduction to data visualization, covering principles, techniques, and tools.
This reference guide provides a detailed overview of map projections, which are essential for understanding how geographic data is represented on maps.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/szdfz9/python
Share
Similar courses
Here are nine courses similar to
Python World Map Geovisualization Dashboard using Covid Data.
Python Geospatial Data Analysis
OpenCourser.com/course/gqjthc/python
Python Geospatial Data Analysis
Most relevant
Java EE: Working with JSON Using JSON-B and JSON-P
OpenCourser.com/course/yq59x9/java
Java EE: Working with JSON Using JSON-B and JSON-P
Most relevant
Getting Started with JSON in C# Using Json.NET 12
OpenCourser.com/course/034sq8/getting
Getting Started with JSON in C# Using Json.NET 12
Most relevant
JavaScript AJAX PHP mySQL create a Dynamic web Form project
OpenCourser.com/course/ih352s/javascript
JavaScript AJAX PHP mySQL create a Dynamic web Form...
Object-Oriented Programming in C++: Functions
OpenCourser.com/course/l9vje1/use
Object-Oriented Programming in C++: Functions
Data Visualization with OpenAI API: Generate code with GenAI
OpenCourser.com/course/9gfcvz/data
Data Visualization with OpenAI API: Generate code with...
JSON - Beginners Guide to learning JSON with JavaScript
OpenCourser.com/course/w7a4ne/json
JSON - Beginners Guide to learning JSON with JavaScript
Build your first Machine Learning Pipeline using Dataiku
OpenCourser.com/course/unerde/build
Build your first Machine Learning Pipeline using Dataiku
Introduction to JavaScript Object Notation (JSON)
OpenCourser.com/course/0gjcfq/introduction
Introduction to JavaScript Object Notation (JSON)
Time
1 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Vinita Silaparasetty
Good to know
Teaches essential foundational concepts in data science, making it a great option for beginners
Provides practical, hands-on learning through active coding exercises
Introduces essential data science tools and techniques, including data visualization, data cleaning, and data analysis
Guided by experienced instructors with expertise in the field
Utilizes up-to-date technologies and industry-standard software
Offers interactive and engaging learning materials, such as videos, demonstrations, and quizzes
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser