Data Visualization with Python by IBM (Coursera)
This Data Visualization online course has been created by IBM and is available on Coursera. It is rated amongst the top data visualization with Python courses with more than 85K students already enrolled in the course. It teaches learners how to leverage Python to visualize data to enable them to extract information, better understand the data, and make more effective decisions. It covers several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium that are used to present the data visually.
The course is spread over 3 weekly modules requiring approximately 18 hours of total effort to complete. These modules cover the following concepts:
- 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
Upon completing this data visualization training course, learners are able to take any seemingly meaningless data set and present it in a form that others can comprehend well and make sense of. It is intended for intermediate users with some experience in Python and handling data.
This course is a part of following Data Science specializations and professional certificate programs by IBM. When you complete this course, it will be counted towards your learning in these programs.
- 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
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