Data Visualization
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- LEARNING PATHAndrea Giussani
Working with Python Visualization ToolsIntermediateDuration: Up to 6 hours and 28 minutesAuthor: Andrea Giussani; Difficulty: Intermediate; Description: A deep dive into the visualization tools and libraries available in Python.; Duration: Up to 6 hours and 28 minutes; Content Topics: Analytics, Development; This learning path has: 3 Courses, 1 Exam, 2 Hands-on labs - LEARNING PATHCalculated Systems
Introduction to Data VisualizationBeginnerDuration: Up to 2 hours and 17 minutesAuthor: Calculated Systems; Difficulty: Beginner; Description: This course explores data sources and formatting, and how to present data in a way that provides meaningful information.; Duration: Up to 2 hours and 17 minutes; Content Topics: Machine Learning; This learning path has: 2 Courses, 1 Exam, 1 Hands-on lab - LEARNING PATHData Visualization EssentialsBeginnerDuration: Up to 43 minutesDifficulty: Beginner; Description: We explore the benefits of effective data visualization, the different types of graphs that are typically involved, and how to interpret data visualizations you; Duration: Up to 43 minutes; This learning path has: 3 Courses, 2 Exams
- LEARNING PATHData Storytelling EssentialsBeginnerDuration: Up to 44 minutesDifficulty: Beginner; Description: In this course, we explore what data storytelling is, how to put together an effective data story, and the benefits of this approach.; Duration: Up to 44 minutes; This learning path has: 4 Courses, 2 Exams
- LEARNING PATHData Storytelling Best PracticeIntermediateDuration: Up to 52 minutesDifficulty: Intermediate; Description: In this course, we examine how to create compelling data stories grounded in solid insights that will strengthen your organization’s ability to make data-driven; Duration: Up to 52 minutes; This learning path has: 4 Courses, 2 Exams
- LEARNING PATHData Visualization Best PracticeIntermediateDuration: Up to 47 minutesDifficulty: Intermediate; Description: We take a look at what makes good data visualizations and explore the processes and tools you’ll likely put to use when developing them.; Duration: Up to 47 minutes; This learning path has: 3 Courses, 2 Exams
- HANDS-ON LABAndrea GiussaniData Visualization with BokehBeginnerDuration: Up to 1 hourAuthor: Andrea Giussani; Difficulty: Beginner; Description: In this lab, you will master Bokeh to perform data visualization with Python.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps
- HANDS-ON LABStefano Cascavilla
Leveraging the Yahoo Finance API to Retrieve and Visualize Financial DataBeginnerDuration: Up to 1 hourAuthor: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will leverage the Yahoo Finance API using the yfinance Python library, and you will visualize the market data using the plotly Python library.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps - HANDS-ON LABStefano CascavillaWorking and Visualizing Cryptos Data with CoinGecko and PythonBeginnerDuration: Up to 1 hourAuthor: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will use the CoinGecko Python API to retrieve and visualize cryptocurrencies data.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps