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Data Literacy

Introducing The State of Data Literacy Report 2023

Explore the key takeaways from our State of Data Literacy report, including essential stats, insights, and opinions from business leaders.

Matt Crabtree

February 16, 2023

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Introduction to Unsupervised Learning

March 31, 2023

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Data Analysis

20 Data Analytics Projects for All Levels

Explore our list of data analytics projects for beginners, final-year students, and professionals. The list consists of guided/unguided projects and tutorials with source code.
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Abid Ali Awan

December 21, 2022

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DataCamp Team

December 14, 2022

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Eugenia Anello

August 10, 2022

Python

The 23 Top Python Interview Questions & Answers

Essential Python interview questions with examples for job seekers, final-year students, and data professionals.
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Abid Ali Awan

November 29, 2022

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Life at DataCamp

DataCampers Volunteer Summer 2022

Many nonprofits need volunteers to participate in their workshops and training. Therefore, all year long we try to find volunteering opportunities.
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Rayan Elatmani

September 8, 2022

Data Science

The Top 15 Data Scientist Skills

A list of the must-have skills every data scientist should have in their toolbox, including resources to develop your skills.
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Javier Canales Luna

September 7, 2022

Data Literacy

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.
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Richie Cotton

September 2, 2022

Data Literacy

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.
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Richie Cotton

September 1, 2022

Data Literacy

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.
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Richie Cotton

September 1, 2022

Data Literacy

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.
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Richie Cotton

September 1, 2022

Data Literacy

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.
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Richie Cotton

September 1, 2022

Data Literacy

Announcing Data Literacy Month

This September, we’re dedicating an entire month to covering data literacy. Here’s what you can expect.
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Adel Nehme

September 1, 2022

Data Literacy

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.
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Richie Cotton

September 1, 2022

Data Literacy

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.
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Richie Cotton

September 1, 2022

Data Literacy

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.
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Richie Cotton

September 1, 2022

Data Literacy

Data Demystified: Correlation vs. Causation

In part six of data demystified, we’ll break down one of the biggest fallacies in data: Correlation does not imply causation
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Richie Cotton

September 1, 2022