Data Visualization with Python by IBM (Coursera)

The IBM-developed online course on data visualization is accessible on Coursera. Over 85K students have already enrolled in it, making it one of the best Python courses for data visualization. It teaches students how to use Python to visualize data to extract information, comprehend the data better, and come to more informed judgments. It includes a number of Python data visualization tools, including Matplotlib, Seaborn, and Folium, which are used to portray the data visually.

The three weekly modules of the course take about 18 hours of work to complete in total. The following concepts are covered in these modules:

• Introduction to data visualization tools
• Basic plotting with Matplotlib
• How to read CSV files into a pandas data frame and process and manipulate the data in the data frame
• How to generate line plots using Matplotlib
• Specialized Visualization Tools like area plots, histograms, bar charts, pie charts, box plots, scatter plots and bubble plots etc., and creating them with Matplotlib
• Advanced visualization tools such as waffle charts and word clouds and how to create them
• Visualization library Seaborn and how to use it to generate regression plots
• Geospatial data and visualizing it using Folium library
• How to create Choropleth maps
• How to use Folium to create maps of different regions of the world and superimpose markers on top of a map

After completing this data visualization training course, students will be able to present any seemingly meaningless data collection in a way that is easy for others to understand and understand. It is designed for intermediate users with Python and data handling knowledge. This course is a component of the IBM professional certificate programs and related Data Science specializations. Your learning from these programs will be credited once you have finished this course.

Key Highlights:

• Learn the best techniques and methods to analyze and visualize data with Python programming
• Learn the data visualization libraries in Python – Matplotlib, Seaborn, and Folium
• Learn the best practices for creating plots and visuals
• Learn with real data sets and real-world examples
• Multiple hands-on exercises, assignments, and graded quizzes to apply the learning
• Course content is free to audit, with an option to pay a small fee to access graded materials and verified certificate of completion

Duration: Approx. 18 hours
Rating: 4.6
Link: https://www.coursera.org/learn/python-for-data-visualization