Data Visualization with Python by IBM (Coursera)

IBM designed this Data Visualization online course, which is available on Coursera. It is ranked among the top data visualization with Python courses, with over 85K students already registered. It teaches students how to use Python to visualize data in order to extract information, better understand the data, and make more informed judgments. It includes numerous Python data visualization tools, including Matplotlib, Seaborn, and Folium, which are used to visually present data. The course is divided into three weekly modules, each of which takes about 18 hours to complete. 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 dataframe and process and manipulate the data in the dataframe
• 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 set in a way that others can understand and make sense of. It is aimed for intermediate users who have some expertise with Python and data management. This course is a component of IBM's Data Science specialties and professional certificate programs. This course will be applied to your learning in these programs if you complete it.

• IBM Data Science Professional Certificate
• IBM Applied Data Science Specialization

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 for to access graded materials and verified certificate of completion

Duration : Approx. 18 hours

Google Rating : 4.5/5.0

Enroll here: coursera.org/learn/python-for-data-visualization