Data Visualization with Plotly Express

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Data Visualization with Plotly Express

Coursera · Beginner ·📊 Data Analytics & Business Intelligence ·3mo ago
Welcome to this project-based course on Data Visualization with Plotly Express. In this project, you will create quick and interactive data visualizations with Plotly Express: a high-level data visualization library in Python inspired by Seaborn and ggplot2. You will explore the various features of the in-built Gapminder dataset, and produce interactive, publication-quality graphs to augment analysis. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and Plotly Express pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

What You'll Learn

Creates interactive data visualizations with Plotly Express

Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

The Nervous System of the Telco: Unlocking the Real-Time Power of the Network Element Interfaces…
Unlock the power of network element interfaces to enable real-time insights in telco operations
Medium · Data Science
Enhanced RFM Analysis for Customer Segmentation using K-Prototypes
Learn how to enhance RFM analysis for customer segmentation using K-Prototypes, a clustering algorithm that handles categorical and numerical data, to improve marketing strategies and customer targeting.
Medium · Machine Learning
One Survey Asked Rich People Ten Times More Often Than Poor People.
Learn how a biased survey sample can impact data analysis and decision-making, and why it's crucial to ensure representative sampling in data science
Medium · Data Science
Data Cleaning Fundamentals: Building a Reproducible Data Cleaning Pipeline
Learn to build a reproducible data cleaning pipeline to transform raw data into analysis-ready datasets
Medium · Data Science
Up next
Spreadsheet Guy Meets the CFO: "Define How Much"
Digital Transformation with Eric Kimberling
Watch →