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See you in 2025!

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See you in 2025!

Happy winter holidays! We’re taking a break to spend time with our families. We’ll return on Jan 16, 2025 with a new podcast episode.

We all wish you a wonderful break and we look forward to continuing spreading the joys of the science of learning in 2025.

The Learning Scientists

What’s Going On in This Graph? | Jan. 8, 2025

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What do you notice about book bans across the United States?

Best in Class Awards 2024 – Learning Systems, Content, Learning Technology

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Best in Class Awards 2024 – Learning Systems, Content, Learning Technology

Bytekast – For those wanting a mobile app with your learning content and branded without costing you a fortune – Bytekast.

  • Content Creator – This means the best built-in authoring tool I call “content creator.”
  • New Administrators—Which system is the best on the administration side, whereas someone could learn and utilize it without it being cumbersome? I looked at this from someone who just got the learning system handed to them (e.g., L&D gutted, system goes to HRIS) or some department that lacks any knowledge of learning or training. Secondly, I looked at it from a new administrator who has no experience with any type of learning system.
  • Onboarding—Which system does the best job onboarding new clients? This refers to the moment the administrator, even the person running L&D or Training, learns about the system, including its ins and outs and more.
  • UI/UX – There are lots to pick from, so I identified three that stood out in 2024. The challenge is that the typical MO from vendors – learner side focus, admin side – not so much. Or they do a good to a great job, but the reporting piece is horrible, and data visualization isn’t much better.
  • I’m not a fan of graphs or pie charts that appear as something I can see on Excel, Google Spreadsheet, etc.  
  • It’s 2024, folks. Design better. The problem? It’s rampant. Thus, I went err, focused on the learner and admin sides overall, and left out data visualization with metrics.    
  • Many people tend to think that new systems, especially recent ones, have the best UI/UX.  
  • Hate to burst your bubble, but that is not the case.  
  • Never has been and never will be.
  • Creating a course with options that included a template for sales training, onboarding, and guided creation was among the three. They had a few others. I am a fan of vendors who use AI to have both already-to-go built-in templates designed for a specific task or role and have templates to create from scratch, guided, etc.
  • You can choose to use AI or not for content creation. You see this in a few content creator tools in learning systems. Still, it was shown very clearly, without someone having to ask if it can be done or figure out if it is doable – okay, they probably don’t know, so identifying as an option is relevant.
  • Being trained on using the content creator tool to push out quick content (look, that is what content creator tools, within systems using AI, are all about).
  • By ‘pushout ‘, I mean the ability to quickly and easily create and publish content. Think of how many people get shoved into overseeing the learning system with zero background in training or L&D and have been told they need to create content/courses. OR again, in another department that has no idea.
  • Pushout isn’t reasonable or even fair. It means quick. This appears very common today across the board with content creator tools (i.e., authoring), and yes, even before AI, that was the approach – which explains a lot.
  • When creating a course with AI, it creates chapters with a TOC identifying them as such. Not slides or screens (terminology that I see, even with some third-party standalone content creator tools—aka authoring tools). I love the term chapters because, well, that is how they are supposed to appear. Then you can have pages, etc. Anyway, I loved this.
  • Lots of flex with the content creator.

Back to Finalists

E-Learning 24/7

9 Courses to Take If You Want to Work With Data

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9 Courses to Take If You Want to Work With Data

This time of year, if you look for it, we have a sneaky feeling you’ll find that data actually is all around us — no, seriously. From your Spotify Wrapped digest to Google’s Year in Search and our very own Code Review, the data in our lives tells a compelling story about the year we’re leaving behind.

End-of-year wrap-ups are fun ways that companies across industries are leveraging data to entertain and inform people. If, like us, you get giddy about stats like the number of minutes our learners spent learning this year (507,530,006 minutes), then there’s a pretty good chance you’ll enjoy learning about data science.

Data science is a multidisciplinary field that involves extracting insights and knowledge from data. It combines expertise from statistics, computer science, and domain-specific knowledge to analyze and interpret complex datasets. Data science is all about transforming copious amounts of information into actionable and interpretable insights.

As JR Waggoner, Data Analytics Manager at Codecademy, puts it: “Data engineering is sometimes very much like traditional software development. Other times, it’s the Wild West,” he says. “You’re taking this list of metrics or data points that the team has compiled and converting them into what we know from the data.”

Data scientists use various techniques, like machine learning and statistical modeling, to uncover patterns, trends, and valuable information that can inform decision-making and solve problems across diverse industries. A common thread among data scientists is a robust grasp of statistics, coding skills, and strong communication skills. Here are some data science courses, paths, and programming languages that’ll teach you techniques like the ones we used to build Code Review.

Basic data literacy

Data is really just a jumble of information until you have the knowledge to contextualize it and draw conclusions. Data literacy is a crucial skill that helps you make sense of all the data floating around — like understanding what it’s trying to tell you or whether the info is trustworthy.

Knowing how to collect data, assess its quality, use statistical thinking, and manage bias will enable you to work with data confidently and responsibly. Data literacy makes you stand out in any field where you have to make informed decisions and back up your arguments with evidence.

Learn the skills:

SQL

Our data pipeline that captures user interactions like code submissions is pretty sophisticated. For Code Review, our engineers used SQL to access information stored in our data warehouse. SQL is a programming language specifically designed for managing and manipulating data within relational databases. You don’t need to be a programmer to use SQL; its syntax is designed to be straightforward and readable, so it’s an accessible and beginner-friendly option for anyone who wants to interact with data.

Learn the skills:

Telling a story with data

Once we’d gathered all the data for Code Review, then came the fun part: figuring out what sort of stories and trends we could uncover. Communicating your data science findings in a visually pleasing and understandable way is an important part of any data scientist’s work. There are a number of data visualization tools and programming languages that you can use to create reports and dashboards.

Learn the skills:

We hope that Code Review inspires you to add some data science skills to your tech stack. If you want to work towards a career in data science, we have focused career paths that’ll help you quickly land a job you want in a variety of data science specializations.

This blog was originally published in December 2023 and has been updated to include additional courses.

Code Review 2024: What We Built — Together 

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Code Review 2024: What We Built — Together 

It’s officially time to ship 2024 — congrats! At the end of any big project or undertaking, it’s wise to look back on what went well and think ahead about what you want to try next. If your team uses the Agile approach to development, you know this as a “retrospective.”  

As the year wraps up, we want to pause and take stock of the goals you’ve reached, the lessons you’ve learned, and the progress you’ve made. This is Code Review, our annual exploration of data from our learners and courses that uncovers key trends and challenges shaping the tech world today.  

We couldn’t have done this without you — our learners, our community, our biggest champions. Every new feature, update, and milestone we hit this year was inspired by your curiosity, ambition, and feedback. Together, we’ve pushed Codecademy far beyond our beginnings as a starting point for coding. In 2024, it’s a place where careers are built, tech skills are sharpened, and barriers to growth are smashed. 

Learn something new for free

This year, we took big strides to reflect the diverse journeys of learners at every stage of their careers. Whether you’re just dipping your toes into tech, pivoting to a new role, or leveling up for a promotion, we’ve got you covered. From certification prep skill paths in new fields like cloud computing and IT, to tools that bring our learning environment to life — like AI-powered coaching and mock interview simulations — we’ve worked hard to meet you wherever you are and help you get to where you want to go.

We learned (a lot) 

In 2024, learners collectively spent 507,530,006 minutes learning with Codecademy. That’s enough time to sit through Dune Part One and Part Two over 1 million times. Or, it’s about as long as it’d take to watch all 149 of the Eras Tour concerts that Taylor Swift performed in 2024 over 17,000 times. This colossal amount of time invested in learning new skills underscores how committed and enthusiastic our community of learners is when it comes to achieving personal goals and advancing careers.  

Everyone has different amounts of time to commit to learning technical skills, because we all have unique goals, schedules, and responsibilities. Casual learners may take a couple of years, career changers can achieve their goals in under a year with focused effort, and upskillers might work learning into their daily routine. It doesn’t matter if it takes you a year or a week to complete a Codecademy course or path. Everything is self-paced, so you have the freedom to stop and start when you need a break and revisit concepts whenever you want. 

We’ve also made it easier for entire teams to build technical expertise through our interactive courses. With Codecademy Teams, you can unlock Codecademy Pro access for your team of 2 or more members plus use advanced analytics and reporting tools to track individual progress and group growth. You can jump right in and start a 14-day free trial of Codecademy Teams now. 

If coding was an Olympic sport, we’d have enough Codecademy learners to represent all of the countries that participated in the 2024 Summer Olympics and then some. This year, our global community expanded to 237 countries and territories, with our most learners residing in the United States, India, and the United Kingdom. We’re constantly blown away by how learning can bridge gaps and bring people from different corners of the world (even Antarctica!) closer together. 

We created new ways to track growth… 

This summer we organized our own global competition, the World Coding Games. Over the course of 7 days, we challenged our learners to see how many skill XP they could earn by completing content items in our courses and paths. Every content item in a course or path grants a unique amount of skill XP, determined by its type, the time and effort needed to finish it, and its connection with Bloom’s Taxonomy, the educational framework that shapes our curriculum. For example, completing a lesson or project earns you 25 XP, while tackling a portfolio project rewards you with 50 XP. The inaugural World Coding Games drew thousands of participants who collectively earned over 1.15 million XP — and built some serious skills. In the end, the first-place winner of the World Coding Games racked up 9,510 XP.   

Codecademy learners collectively earned a staggering 676,443,705 skill XP in 2024 — and we have you to thank! Wondering how many XP you’ve earned to date? In your dashboard, you’ll see a log of the XP you’ve earned in various skill areas, and you can sort them based on the amount of progress earned or the most recent skills you’ve worked on.  

… and use AI so you make progress faster   

If 2022 was the year AI burst on the scene, 2024 was the year that AI entered our lives in a meaningful way. We believe that AI can enhance the learning experience, not replace it, which is why we added an AI Learning Assistant to provide AI-powered personalized support and guidance right in our learning environment.  

The AI Learning Assistant harnesses OpenAI’s latest model to give you instant, personalized coding guidance. Inside courses, projects, and articles, you can pick a piece of your code, click “Explain code,” and get a clear explanation powered by GPT. You can then keep the conversation going by asking follow-ups, getting extra details, or using the AI Learning Assistant to catch any bugs. 

Since the launch of our AI Learning Assistant, we’ve seen an impressive 976,331 conversations from over 270,000 learners and a total of 3,177,777 learner questions and messages exchanged. Good to know: Learners with Pro and Plus subscription plans have access to unlimited prompts, while folks with a free account can try twice per day. 

Another significant AI feature that we rolled out in 2024 was the Interview Simulator, a tool that creates interview questions like those you’d encounter from recruiters or hiring managers for Front-End, Back-End, and Full-Stack Developer roles. You can customize it to suit your target company, skill level, and where you are in the interview process. The Interview Simulator can currently run a mock get-to-know-you phone screener, and soon we’ll add technical or final-stage interview. 

It’s awesome to see how many of you are using the Interview Simulator to prepare for job interviews — to date, we’ve had over 20,000 interviews practiced with this tool. We hope the practice helped and you nailed the job! You can try the Interview Simulator now; you get 3 free uses with a Basic account, while Pro members get unlimited access to the tool.   

We expanded our course catalog 

Our catalog grew by over 220 new courses this year. The new offerings cover in-demand languages and topics, like Learn Next.js, Learn Prompt Engineering, and Intro to Angular. With our cutting-edge learning environment, these new courses make it easier than ever for you to dive into emerging tech topics at your own pace, regardless of your previous experience level. 

Our introductory (and recently updated!) Python course Learn Python 3 continues to reign supreme as the most popular course started on Codecademy, and it’s easy to see why. Python is a perpetual fan favorite, especially for folks learning to code, because it has a concise, English-like syntax. Versatility is another big draw — Python can be used across domains, from web development to data analysis and, of course, machine learning and AI. Python’s importance in AI makes it essential for anyone looking to enter or advance in the tech industry or understand new AI tools.  

We introduced new domains 

One of the latest changes to our catalog is our expansion into cybersecurity and cloud topics. We now have double the course offerings in these areas, including free introductory courses and over 20 comprehensive skill paths that prepare you to take in-demand certification exams.  

Industry certifications validate your knowledge of specific skills and can increase job opportunities, salaries, and chances for bonuses and promotions. Our test prep courses prepare you for some of the most sought-after certifications, including CompTIA A+ 220-1101 (Core 1), AWS Certified Cloud Practitioner CLF-C02, and Cisco Certified Network Associate 200-301.  

We’re also doubling down on professional development with our new professional skills domain. We know that soft skills are a crucial dimension to technical training, and these expert-led video-based professional skills courses help you fill in your skills gaps in areas like communication, problem-solving, and critical thinking. The free course Effective Stakeholder Communications for Technology Professionals has quickly become a favorite.  

We hosted events and launched clubs 

Connecting with other learners is one of the best ways to find motivation. Our Codecademy community members are 50% more likely to meet their learning goals. If you’re not part of our vibrant community yet, be sure to join our community platform for access to exclusive events, clubs, and opportunities.  

We hosted over 200 impactful events this year that foster collaboration and skill-building across our community. From coding hangouts to monthly challenges, these virtual events are open to everyone in our community and are great opportunities for knowledge sharing and networking. Want to see what’s coming up? Check out the events page

On our community platform, you’ll notice that we’ve launched over 16 clubs (with more to come), each covering a diverse range of topics. There are career-focused clubs, like the Future Founders and Freelancers Club and Machine and Deep Learning Club, as well as location-based clubs in cities around the world. Whether you’re looking to dive deep into a specific subject or simply chat with like-minded tech enthusiasts, our clubs provide the perfect environment to explore and grow.  

We had fun while we’re at it 

Have you seen Codecademy come across your TikTok For You Page? We joined TikTok this year and have loved sharing videos with practical project ideas, career roadmap tips, and tech history lessons with you. Our most popular video on TikTok was this roundup of summer-themed coding project ideas. (BTW, keep an eye out for a new way to brainstorm coding project ideas coming soon to our learning environment.)  

Over on Instagram, our most viral post was this relatable cat video about error messages. 

Be sure to smash that follow button on TikTok, Instagram, Facebook, LinkedIn, and YouTube to get more tech inspiration (and Moo Deng memes) in your feed. And if you love reading our blog, there’s a new way to get the latest articles sent to your inbox each month. Subscribe to our blog-focused in_development newsletter using the form below for useful tips, real stories about learners, and more updates like this. 

Watch: ‘Is Creativity Dead?”

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Is internet culture killing our creativity? Or, are powerful algorithms just hiding it?

How Do You Stay Focused on an Important Task?

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Do you find it hard to concentrate? What can we learn from a Formula 1 driver’s mental tool kit?

On a Treadmill

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What do you think this image is communicating?

GenAI, Cybersecurity, and Data Ethics: The World’s fastest-growing job skills for 2025

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GenAI, Cybersecurity, and Data Ethics: The World’s fastest-growing job skills for 2025

By Jeff Maggioncalda, CEO, Coursera

I’m excited to share Coursera’s fourth annual Job Skills Report, which highlights the critical skills that individuals and institutions are prioritizing for 2025. Drawing from insights across five million enterprise learners and over 7,000 institutional customers, this report provides a data-driven analysis of the trends shaping the future of learning and work. 

With proliferation and advancements in foundational models, generative AI (GenAI) will continue to reshape jobs and industries at an unprecedented rate. With the potential to unlock $15.7 trillion in global economic value by 2030, these gains will depend on our ability to help people develop skills to use AI effectively and make the most of its potential. 

The Job Skills Report 2025 identifies the fastest-growing skills in AI, business, data science, and tech, with a spotlight on high-demand areas like GenAI and cybersecurity. Key findings include: 

  1. The global workforce is embracing GenAI at a rapid pace, with course enrollments surging by 866% year-over-year.

GenAI is now the fastest-growing skill among our enterprise learners—including employees, students, and job seekers. Notably, more than half (54%) of GenAI course enrollments come from learners in India, Colombia, and Mexico, signaling a shift in the globalization of AI talent and their availability in emerging markets. Foundational courses such as Google Cloud’s Introduction to Generative AI and Google’s AI Essentials, and courses that teach practical AI skills such as Prompt Engineering for ChatGPT from Vanderbilt University and IBM’s Generative AI: Introduction and Applications are driving the highest enrolment rates among enterprise learners. In 2025, we expect the global race toward AI literacy will further accelerate. 

  1. AI skills like computer vision, PyTorch, and machine learning (ML) doubled in enrollments year-over-year

With AI and ML Specialist roles expected to grow by 40% over the next four years, learners are rapidly upskilling and reskilling themselves through courses like IBM’s Deep Neural Networks and PyTorch and the University of Buffalo’s Computer Vision Basics. However, while more women are learning on Coursera overall (up 3% year over year), only 28% of Coursera’s GenAI course enrollments are from women. Encouraging women to pursue AI skills through educational initiatives and workplace policies will be crucial to narrowing the gender gap and ensuring AI benefits everyone. 

  1. Data ethics skills are a growing priority for employees.

Data ethics is among the fastest-growing skills on Coursera, driven by the need for employees to responsibly manage and analyze customer data. Despite its importance, there’s a notable gap in interest among students and job seekers. This is a major curricula improvement opportunity for campuses since 60% of data leaders identify data governance as a primary concern. A Deloitte survey found that 78% of organizations prioritize “safe and secure” AI use as a top ethical principle – a 37% increase from last year. As demand for data roles increases, learners who upskill in data ethics and governance will position themselves more competitively for future employment.

  1. Risk management and cybersecurity skills surge into the fastest-growing skills list amid a 71% year-over-year rise in cyberattacks. 

With 93% of organizations experiencing two or more identity-related breaches in the past year, demand for risk management and cybersecurity skills is rising. Six of the top ten fastest-growing tech skills this year are cybersecurity-related, including computer security, threat management & modeling, and network planning and design. Given the global shortage of nearly five million cybersecurity professionals, acquiring these skills will position learners as invaluable assets in a high-demand job market. 

  1. Human skills like assertiveness and communication are three of the top 10 fastest-growing skills overall, but Gen Z is more focused on green skills. 

Human skills are essential, as 84% of managers believe new employees must possess and demonstrate the ability to communicate in a professional manner and articulate their ideas. Gen Z lags behind employees and job seekers here, with 71% of Gen Z workers finding it difficult to speak up and contribute in meetings. Instead, younger student learners are prioritizing green skills like waste management and business continuity planning, with over half of Gen Z expressing concern about the effects of climate change. Though ESG skills are in high demand, our findings indicate that Gen Z workers must also focus on core human skills, to align their skill sets more closely with employer needs.

Technology, especially GenAI,  is accelerating change, and the rate of learning must keep pace. This report serves as a guide to better understand the skills needed to thrive in 2025 and beyond so everyone can learn, adapt, and succeed.

Download the 2025 Job Skills Report here

Interested in turning these insights into a skills development plan for your institution? Book a meeting with a Coursera team member today.

Word of the Day: azure

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This word has appeared in 55 articles on NYTimes.com in the past year. Can you use it in a sentence?