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Artículos sobre alfabetización informática
Encuentra recursos adicionales que te ayuden a mejorar tus conocimientos y/o los de tu equipo. Lee todo sobre la alfabetización de datos, qué es y cómo conseguirla para pensar de forma crítica sobre tus datos.
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Data Demystified: Data Visualizations that Capture Distributions
In part 10 of data demystified, we’ll dive deep into the world of data visualization, continuing with visualizations that capture distributions.
Richie Cotton
2 de septiembre de 2022
Announcing Data Literacy Month
This September, we’re dedicating an entire month to covering data literacy. Here’s what you can expect.
Adel Nehme
1 de septiembre de 2022
Data Demystified: What is A/B Testing?
In part seven of data demystified, we’ll break down one of the most common use cases of statistical analysis in data science: A/B testing.
Richie Cotton
1 de septiembre de 2022
Data Demystified: Data Visualizations that Capture Trends
In part eight of data demystified, we’ll dive deep into the world of data visualization, starting off with visualizations that capture trends.
Richie Cotton
1 de septiembre de 2022
Data Demystified: What Exactly is Data?
Welcome to Data Demystified! A blog-series breaking down key concepts everyone should know about in data. In the first entry of the series, we’ll answer the most basic question of them all, what exactly is data?
Richie Cotton
1 de septiembre de 2022
Data Demystified: Data Visualizations that Capture Relationships
In part nine of data demystified, we’ll dive deep into the world of data visualization, continuing with visualizations that capture relationships.
Richie Cotton
1 de septiembre de 2022
Data Demystified: Quantitative vs. Qualitative Data
In the second entry of data demystified, we’ll take a look at the two most common data types: Quantitative vs Qualitative Data. For more data demystified blogs, check out the first entry in the series.
Richie Cotton
1 de septiembre de 2022
Data Demystified: Avoiding the AI Hype Trap
In part 11 of data demystified, we examine how AI is covered in the news, how it can lead to the AI hype trap, and how to not fall into it.
Richie Cotton
1 de septiembre de 2022
Data Demystified: The Difference Between Data Science, Machine Learning, Deep Learning, and Artificial Intelligence
In the third entry of data demystified, we’ll define the most common pieces of jargon you hear in data science today. From machine learning to deep learning, here’s all the subfields of data you need to know.
Richie Cotton
1 de septiembre de 2022
Data Demystified: The Four Types of Analytics
In the fourth entry of data demystified, we’ll break down the four types of analytics. From a descriptive to prescriptive, we’ll look at how analytics can answer the most pressing questions.
Richie Cotton
1 de septiembre de 2022
Data Demystified: An Overview of Descriptive Statistics
In the fifth entry of data demystified, we provide an overview of the basics of descriptive statistics, one of the fundamental areas of data science.
Richie Cotton
1 de septiembre de 2022
Data Demystified: The Different Types of AI Bias
In the final part of data demystified, we outline the most common types of AI bias, and why data literacy helps avoid harmful impacts from AI.
Richie Cotton
1 de septiembre de 2022