Publications by Joyce Chiu
Introducing Unguided Projects: The World’s First Interactive Code-Along Exercises
DataCamp’s unguided projects are a new way to get real-world experience and learn how to solve data science problems—all on your own and without leaving your browser. Designed for our intermediate and advanced learners, you’ll challenge your Python and R skills as you find your way through messy real-world datasets. And if you get stuck? Yo...
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GUIs and the Future of Work
One of the main reasons behind the rapid innovation and advances in data science has been the proliferation of open-source code-centric tools. This has allowed data scientists and software engineers to build powerful abstractions that make it really easy to analyze data.For example, R packages like dplyr and tidymodels allow users to manipulate d...
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How a Non-Data Scientist Learned R and Delivered Reports 3 Days Faster
In 2016, Chris Cardillo was a Strategist supporting the media buying team at M&C Saatchi Performance (known at the time as M&C Saatchi Mobile), a digital advertising agency with over 100 employees. His team faced a problem familiar to many: how to efficiently aggregate data for client reporting. The main culprit was multiple sources of informatio...
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The Learning Platform for Data-Driven Companies
The nature of work today requires continuous learning and the ability to respond appropriately to new information—including an increasing abundance of data. Companies must ensure that their employees are data fluent—those that do outperform their peers in revenue growth, market share, profitability, customer and employee satisfaction. Data fl...
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Employee Spotlight: Spearheading Skill Assessments at DataCamp
What was your journey to joining DataCamp? For me, it all started with a passion for statistics. Being able to see the possibilities that data offered led me to spend seven years at university studying as much statistics as I possibly could. I then joined a data science consultancy here in the UK, so that I could finally get to use it and make an...
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4 Steps to Building a Successful Data Program
It can be challenging getting a data program off the ground, but without one, your business may not be able to synthesize important data to draw meaningful insights. Our recent DCVirtual conference dove into how to implement and measure a successful data-driven culture. DataCamp’s Curriculum Architect, Richie Cotton, spoke with AXA XL’s Head ...
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Employee Spotlight: Recruiting Instructors and Building Out DataCamp’s Live Training Program
What was your journey to joining DataCamp? I had previously met Jen, DataCamp’s Head of Instructor Success, through her work at General Assembly as an Introduction to Data Analysis Instructor. I was a student in her class, and she recommended me to GA for an Instructional Assistant position, which I ended up doing for a full year. She then reac...
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The Impact of Machine Learning Across Verticals and Teams
Machine learning, deep learning, and artificial intelligence are buzzwords for good reason—these technologies are fundamentally shifting the nature of business, society, and our lives. More importantly, across many verticals, they’re shifting from being disruptive technologies to being foundational and table stakes for businesses to remain co...
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Why Data Doesn’t Have to Be That Big
Defining big data Big data is one of the buzziest words in the data space. But just how big is big? One way to think about it is in terms of volume, or the amount of data you have. Based on volume, we can define big data as data that is far more than you can store on a modern laptop or hard drive. Thus, it needs to be distributed across clusters ...
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