Data Visualisation
Skills:
Data Literacy90%
Key Takeaways
Covers data visualisation techniques using plotting libraries and tools
Original Description
This course aims to prepare you for acknowledging and valuing the significance of data visualisations and visual analytics. You will be introduced to practical Exploratory Data Analysis (EDA) techniques using plotting libraries and tools on any tabular dataset. You'll learn how to design visualisations and dashboards that reduce cognitive load, effectively leveraging short-term memory.
Throughout the course, we will cover a wide variety of topics, including utilising the power of storytelling with visualisations and dashboards to ensure your message deeply connects with your audience. Additionally, you will learn to compare and determine the appropriate data visualisation libraries and platforms for visual analysis. These topics are designed to give you an overview of what’s to come in this degree program, equipping you with the skills and knowledge needed to excel in the field of data visualisation.
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Data Literacy
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
The Attention Economy: Your Attention Is Worth More Than Gold
Medium · Data Science
What I Learned Building a Tableau Dashboard for Deloitte’s Data Analytics Simulation
Medium · Data Science
Six Months, 9,541 Restaurant Development Records, and What the Data Actually Says
Medium · Data Science
CRM Analitiği ile Müşteri Değerini Anlamak: RFM, CLTV ve Predictive CLTV Rehberi
Medium · Data Science
🎓
Tutor Explanation
DeepCamp AI