Coursera - Data Visualization Fundamentals to Interactive Storytelling Specialization

What you'll learn
Implement data visualization techniques and plots using Python libraries like Matplotlib, Seaborn, and Folium.
Create various charts and plots including line, area, histograms, bar, pie, box, scatter, and bubble using Tableau.
Develop advanced visualizations such as network graphs, geospatial maps, and interactive dashboards.
Customize and optimize data visualizations to enhance clarity and communication.
Skills you'll gain
Tableau Software
Geospatial Information and Technology
Network Model
Spatial Analysis
Network Analysis
Data Visualization
Geospatial Mapping
Dashboard
Matplotlib
Data Visualization Software
Data Presentation
Text Mining
Welcome to the "Data Visualization: Fundamentals to Interactive Storytelling", your comprehensive guide to mastering the art and science of data visualization using Python, Tableau, and advanced techniques for interactive, geospatial, and narrative data storytelling. This program is designed to provide a robust foundation in data visualization, covering fundamental principles, intermediate techniques, and specialized methods across various domains.
Starting with "Data Visualization Fundamentals in Python," you'll learn to implement basic and advanced plots using libraries such as Matplotlib, Seaborn, and Folium. Progress to "Tableau, Networks & Time Series Data Visualization," where you'll build interactive dashboards, visualize network data, and analyze time-series trends using Python and Tableau. Finally, in "Interactive, Geospatial & Narrative Data Visualization," you'll create compelling geospatial maps, design intricate narrative visualizations, and enhance your data storytelling skills.
This specialization combines practical assignments and real-world projects to challenge you in developing, analyzing, and optimizing data visualizations. By the end, you will be proficient in creating insightful, interactive, and visually appealing data stories that can drive impactful decisions.
Applied Learning Project
Engage in practical assignments and real-world projects across all three courses. Gain hands-on experience in designing interactive dashboards, visualizing networks and time-series data, creating geospatial maps, and implementing narrative visualizations using Python and Tableau.
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