Enroll Course: https://www.udemy.com/course/learn-data-science-covid-19-and-cholera-pandemic-projects/
If you’re passionate about data visualization and eager to enhance your skills in Python, Plotly, and geospatial mapping, the ‘Data Science – Using Python, Plotly and Leaflet’ course by AulaGEO on Udemy is an excellent choice. Spanning approximately 10 intensive hours, this course offers a well-structured blend of theory and practical exercises that cater to both beginners and intermediate learners.
The course kicks off with foundational principles of data visualization, emphasizing why visual representation matters and exploring various graphic display techniques. This theoretical base is then reinforced through hands-on exercises, such as extracting and visualizing COVID-19 data using Python and Plotly. One of the highlights is the geospatial application segment where students learn to create interactive maps with Plotly, including representing historical cholera data from John Snow’s research.
Further modules delve into different data types and charting techniques, from histograms and line charts to pie charts and scatter plots. Advanced topics like 3D plots, subplots, and animated visualizations are also covered, enriching your toolkit. The course culminates with engaging final projects, including interactive maps with Leaflet, enabling students to showcase their skills in a real-world context.
Overall, this course is highly recommended for those looking to build a robust understanding of data visualization, particularly in the context of health, geographic, and statistical data. The practical exercises and projects ensure that you not only grasp theoretical concepts but also gain valuable experience in deploying visualizations that can be applied professionally.
Enroll Course: https://www.udemy.com/course/learn-data-science-covid-19-and-cholera-pandemic-projects/