Interactive Statistical Data Visualization 101

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Interactive Statistical Data Visualization 101

Coursera · Beginner ·📊 Data Analytics & Business Intelligence ·1mo ago
In this guided project, we will explore plotly express to visualize statistical plots such as box plots, histograms, heatmaps, density maps, contour plots, and violin plots. Plotly express is a super powerful Python package that empowers anyone to create, manipulate and render graphical figures. This crash course is super practical and directly applicable to many industries such as banking, finance and tech industries. Note: 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.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Modern businesses Data Analytics vs Data Science: Which Strategy Actually Drives Business Growth in…
Learn the difference between Data Analytics and Data Science to drive business growth
Medium · Data Science
Python for Data Science — Handling Missing Values in Pandas
Learn to handle missing values in Pandas for effective data science, a crucial skill for any data scientist
Medium · Programming
Roblox Data Engineering Interview Questions: Full DE Prep Guide
Prepare for Roblox data engineering interviews with a focus on text-heavy product telemetry and search-related questions
Dev.to · Gowtham Potureddi
Tesla Data Engineering Interview Questions: Full DE Prep Guide
Prepare for Tesla data engineering interviews with this comprehensive guide, covering key concepts and practice questions to help you succeed
Dev.to · Gowtham Potureddi
Up next
How Suntory Turns Data into Faster Decisions with Databricks
Databricks
Watch →