One of the most important skills of successful data scientists and data analysts is the ability to tell a compelling story by visualizing data and findings in an approachable and stimulating way. In this course you will learn many ways to effectively visualize both small and large-scale data. You will be able to take data that at first glance has little meaning and present that data in a form that conveys insights.

About this Course
This course requires a working knowledge of the Python programming language and using Jupyter Notebooks.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
Implement data visualization techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story
Create different types of charts and plots such as line, area, histograms, bar, pie, box, scatter, and bubble
Create advanced visualizations such as waffle charts, word clouds, regression plots, maps with markers, & choropleth maps
Generate interactive dashboards containing scatter, line, bar, bubble, pie, and sunburst charts using the Dash framework and Plotly library
Skills you will gain
- Dashboards and Charts
- dash
- Python Programming
- Matplotlib
- Data Visualization (DataViz)
This course requires a working knowledge of the Python programming language and using Jupyter Notebooks.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Start working towards your Bachelor's degree
Syllabus - What you will learn from this course
Introduction to Data Visualization Tools
Basic and Specialized Visualization Tools
Advanced Visualizations and Geospatial Data
Creating Dashboards with Plotly and Dash
Reviews
- 5 stars68.63%
- 4 stars19.80%
- 3 stars6.18%
- 2 stars2.78%
- 1 star2.58%
TOP REVIEWS FROM DATA VISUALIZATION WITH PYTHON
This course gives very well knowledge about different types of visualization techniques and helps to start with visualization. Coursera provided an amazing course with an amazing instructor.
Good course, some of the lab assignments did not load properly so it was difficult to practice... (week 2 & 3). Assignment was good after using Jupyter Notebooks as the scripting interface. Thank you!
The Course Was Good. It would have been better if some lab sections were covered in labs. As we all know understanding a code then reading might help the students grasp better faster and deeper.
A great course for you to further understand the mechanics of data visualisation as well as providing a space for you to familiarise and test your understanding on the subject matter.
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Certificate?
More questions? Visit the Learner Help Center.