Data Visualization: Fundamentals to Interactive Storytelling

University of Pittsburgh via Coursera Specialization

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Provider

Coursera Specialization
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Duration & workload

4 weeks, 10 hours a week

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Overview

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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.

Syllabus

Course 1: Data Visualization Fundamentals in Python
Course 2: Tableau, Networks & Time Series Data Visualization
Course 3: Interactive, Geospatial & Narrative Data Visualization

Courses

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22 hours 37 minutes
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The "Data Visualization Fundamentals in Python" course empowers you to transform data into compelling visual narratives. Dive into the principles and best practices of data visualization, blending the art and science to tell impactful data stories using Python. Through this course, you will master creating basic and advanced data visualizations and learn to effectively communicate complex information visually. You will explore Python libraries such as Matplotlib and Seaborn and understand how to customize visual elements to create clear, insightful, and visually appealing data representations. You will develop skills to apply fundamental principles, incorporate human perception aspects, customize your plots, and create interactive visualizations ensuring an accurate interpretation of data. This course will equip you with techniques for transforming complex datasets into coherent visuals, optimizing your ability to convey data-driven insights effectively.
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16 hours 15 minutes
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Elevate your data storytelling skills with "Interactive, Geospatial & Narrative Data Visualization" . This comprehensive program covers the essentials of visualizing data through interactive dashboards, geospatial analysis, and narrative visualization using Python and Tableau. Learn to design and implement interactive visualizations that improve user engagement and make complex data more accessible. Explore geospatial data to create compelling maps and understand spatial relationships. Dive into narrative visualization to craft engaging data stories that convey insights effectively. Master tools like Tableau and Python libraries (Matplotlib, Seaborn, Folium) to create various types of plots and advanced visualizations including maps with markers, choropleth maps, and network graphs. Engage in practical assignments and real-world projects that challenge you to develop, analyze, and optimize data visualizations. By the end of this course, you will have the expertise to build stunning visualizations, interpret complex datasets, and tell impactful data stories.
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18 hours 13 minutes
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Unlock the power of data with "Tableau, Networks & Time Series Data Visualization" . This comprehensive program is designed to teach you the essentials of data storytelling through visualizations using Python and Tableau. Starting with the basics of Tableau, you'll learn to create and customize various visualizations, build interactive dashboards, and conduct detailed analytics. Dive into network visualization to understand and depict complex networks and connected data. Using Python libraries, you will create and customize network visualizations that highlight relationships and structures within data. Explore time series data visualization to interpret and present data over time. You’ll master techniques for loading, preparing, and visualizing time series data using Python, enhancing your ability to forecast and analyze trends effectively. By the end of this course, you will have the skills needed to create compelling, insightful, and interactive data visualizations, making complex data more understandable and actionable.