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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

Most recent

What Does Democratizing Data Mean? Unlocking the Power of Data Cultures

March 24, 2023

Bard vs ChatGPT for Data Science

March 22, 2023

Free DataCamp Classrooms Now Available to Turkish Secondary Schools

March 21, 2023

Trending

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.

Abid Ali Awan

December 21, 2022

A List of The 16 Best ETL Tools And Why To Choose Them

DataCamp Team

December 14, 2022

Power BI vs Tableau: Which Should You Choose in 2023?

Shaun Edmond

Matt Crabtree

December 2, 2022

How to Become a Data Engineer in 2023: 5 Steps for Career Success

Javier Canales Luna

November 30, 2022

How to Become a Data Analyst in 2023: 5 Steps to Start Your Career

Elena Kosourova

November 24, 2022

What is GPT-4 and Why Does it Matter?

Abid Ali Awan

March 15, 2023

YOLO Object Detection Explained

Zoumana Keita

September 28, 2022

Top 9 Power BI Dashboard Examples

Eugenia Anello

August 10, 2022

A Beginner's Guide to GPT-3

Sandra Kublik

Shubham Saboo

May 18, 2022

Python vs R for Data Science: Which Should You Learn?

Javier Canales Luna

December 28, 2022

The 23 Top Python Interview Questions & Answers

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

Abid Ali Awan

November 29, 2022

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10 Simple Rules for Being a Good Research Partner

These 10 simple rules will help researchers and practitioners in data science overcome the frustrations they might feel when working with each other.

Greg Wilson

January 23, 2018

Top 10 Breakthroughs in Big Data Science in 2017

These are the 10 biggest breakthroughs that illustrate the potential of data science in harvesting usable information from big data.

Shradha Mukherjee

January 22, 2018

Introducing DataFramed, a Data Science Podcast

In the data science podcast DataFramed, Hugo Bowne-Anderson interviews industry experts on what data science is, what problems it tries to solve and what it looks like in practice.

Hugo Bowne-Anderson

January 19, 2018

What Exercises Do You Use To Teach Programming?

Which kinds of exercises can be used to check that students are actually learning how to program, let them practice their new skills, and keep them engaged?

Greg Wilson

January 12, 2018

An Interview with François Chollet

DataCamp's Hugo Bowne-Anderson interviewed Keras creator and Google AI researcher François Chollet about his new book, "Deep Learning with Python".

Hugo Bowne-Anderson

December 18, 2017

Version Control For Data Science

Discover how to overcome the steep learning curve of version control for data science, while also taking into account best practices and recommendations.

Greg Wilson

December 7, 2017

How Much Do Americans Spend on Holiday Season?

46.4% of US citizens said that nothing would change their minds about shopping over Thanksgiving weekend.

Hugo Bowne-Anderson

November 29, 2017

Using Data Science to Explore Software Development

What can data science mean for software development? In this blog post, you'll discover some interesting case studies of data science in software engineering!

Greg Wilson

November 20, 2017

How the #MeToo Movement Spread on Twitter

What can data science tell us about tweets with the #MeToo hashtag?

Hugo Bowne-Anderson

November 14, 2017

A Data Scientist's Guide to Environment Variables

As a data scientist, you might have to configure environment variables for data science projects locally or globally, on a platform. This guide will show you all you need to know!

Eric Ma

November 9, 2017

Why Scientists Should Use Python for Scientific Computing

Discover the scope of Python for research, why scientists should use Python for scientific computing and how the Python community can effectively aid scientific research.

Hugo Bowne-Anderson

November 7, 2017

Cloud Computing and Architecture for Data Scientists

Discover how data scientists use the cloud to deploy data science solutions to production or to expand computing power.

Alex Castrounis

September 20, 2017