Data Visualization

Difficulty: 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 45 minutes; This learning path has: 5 Courses, 2 Exams

Author: 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

Difficulty: Intermediate; Description: In this course, you’ll learn how to create compelling data stories from solid insights that strengthen your organization’s data‑driven decisions.; Duration: Up to 53 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Beginner; Description: Learn what data visualization is, why it’s important, and how to interpret data visualizations yourself.; Duration: Up to 44 minutes; This learning path has: 4 Courses, 2 Exams

Difficulty: 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 48 minutes; This learning path has: 4 Courses, 2 Exams

Author: Andrew Larkin; Difficulty: Intermediate; Duration: 25 minutes and 47 seconds; Content Topics: Analytics; This course has: 4 Units

Author: Stuart Scott; Difficulty: Beginner; Duration: 32 minutes and 16 seconds; Content Topics: Big Data; This course has: 7 Units

Author: 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

Author: Calculated Systems; Difficulty: Beginner; Description: Learn how Amazon Quicksight can help you get the most out of your data by allowing you to visualize, embed, and share data quickly.; Duration: Up to 1 hour; Content Topics: Analytics; This hands-on lab has: 3 Lab steps

Author: Heinrich Marks; Difficulty: Intermediate; Duration: 33 minutes and 18 seconds; Content Topics: Amazon Web Services; This course has: 5 Units

Author: Andrea Giussani; Difficulty: Intermediate; Duration: 1 hour and 33 minutes; Content Topics: Development; This course has: 7 Units

Author: Andrea Giussani; Difficulty: Intermediate; Duration: 1 hour and 21 minutes; Content Topics: Data Engineering, Data Transformation; This course has: 8 Units

Author: 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

Author: QA; Difficulty: Intermediate; Duration: 17 minutes; Content Topics: Data Visualization; This course has: 5 Units

Author: Jason Cannon; Difficulty: Intermediate; Duration: 28 minutes and 36 seconds; Content Topics: Development, Operating System; This course has: 3 Units

Author: Daniel Mease; Difficulty: Beginner; Duration: 46 minutes and 7 seconds; Content Topics: Google Cloud Platform; This course has: 10 Units

Author: Calculated Systems; Difficulty: Beginner; Description: This lab is aimed at data visualization beginners who want to understand how to import data and make their first insight using Google Data Studio.; Duration: Up to 1 hour; Content Topics: Google Cloud Platform; This hands-on lab has: 3 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: Practice your Yahoo Finance API and data visualizing skills in a free-rein, empty Jupyter Notebook environment by creating and managing all the components and parts the yfinance and plotly libraries offer.; Duration: Up to 4 hours; Content Topics: Development; This hands-on lab has: 2 Lab steps

Author: 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

Author: 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

Author: Calculated Systems; Difficulty: Intermediate; Description: This lab will teach you how to create maps from geospatial data using the GeoJSON extension for JupyterLabs.; Duration: Up to 1 hour; Content Topics: Google Cloud Platform; This hands-on lab has: 2 Lab steps

Author: Alibaba Cloud; Difficulty: Intermediate; Duration: 35 minutes and 59 seconds; Content Topics: Machine Learning; This course has: 2 Units

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: Demonstrate your Yahoo Finance API and plotly knowledge by integrating them, fetching market data, and then displaying and plotting them.; Duration: Up to 1 hour; Content Topics: Development; This lab challenge has: 2 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: Practice your CoinGecko Finance API and data visualizing skills in a free-rein, empty Jupyter Notebook environment by creating and managing all the components and parts the pycoingecko and plotly libraries offer.; Duration: Up to 4 hours; Content Topics: Development; This hands-on lab has: 2 Lab steps