DataCamp AI and data weekly newsletter

A weekly dispatch for AI + Data Practitioners · #018 Flash Sale | 50% Off on Yearly Plan! Save Now 42% of senior data professionals started an AI course this year. Only 25% of juniors did. Four in ten senior data professionals started an AI course this year, against one in four early-career learners. In AI and machine learning roles, juniors are moving faster: their adoption grew by 19.3 percentage points in a year, against 14.3 among seniors. Both groups are learning AI. They're learning different parts of it. We examined what each group studied over two 12-month windows. Early-career learners lean toward the building blocks: the OpenAI API, prompt engineering, Hugging Face, LLMOps. Seniors prioritise the finished tools: Microsoft Copilot, scalable agentic systems, LangChain, and responsible AI. You'd assume the newest agentic tooling would be picked up by people newest to the field. It isn't. Claude Code 101 is studied more by experienced professionals than by people early in their careers. Production work still falls to the people who've been doing it longest. That pattern doesn't hold in every role. Juniors are gaining ground in data science and AI/ML, where AI is already the work. In analytics, BI, and data engineering, where most early-career data people actually sit, seniors are pulling further ahead. Data engineering shows the widest gap: seniors are now 2x more likely than juniors to be learning AI for it. Separately, PwC finds the most AI-exposed entry-level roles are now 7x more likely to ask for skills like leadership and strategic thinking. This is the applied, judgment-heavy end of the work, and the end juniors are studying least. Put the two together, and the pattern is clear: employers are asking more of entry-level roles, and junior upskilling isn't keeping pace just yet. Early in your AI skills journey? Focus on the applied end: machine learning, LLMs, generative AI, and the judgment to use them well. AI Fundamentals teaches all of these skills, no code or prior experience required. Further along? Focus on what sits beneath the tools you're already using. AI Engineering with LangChain teaches exactly that, taught by our AI tutor. Live Sessions · Nov 2–6 Finance, HR, marketing, ops: How to leverage AI in every one Finish a report with Copilot, build a dashboard by describing what you want, and roll AI out across a team. Built for whatever role you're in. Save My Spot This week in AI and data Interview Prep Our top 99 SQL interview questions (and answers) Whatever data role you're going for, SQL will come up. Walk in able to answer the most common questions, from joins and subqueries to running totals and duplicate detection. Read Now AI News Meta's best new model isn't on the API at any price Muse Wonder Full tops Meta's long-coding tests. It's also subscription-only, and Muse Code defaults to a mode where your code can train Meta's models. Read Now New courses and projects Course Working with Microsoft Copilot Basic · 2 hours Get started with Microsoft Copilot: write prompts, draft content, and summarize documents across your everyday Microsoft apps to finish routine work faster. Explore Course Course Getting Started with Snowflake CoCo Desktop Basic · 2 hours Get set up with Snowflake CoCo Desktop and learn the basics, so you can start using AI on your data work from day one. Explore Course Explore Course Course Lead Qualification and Scoring with Claude Cowork Intermediate · 15 min Qualify and score leads with Claude Cowork. Work through a hands-on sales project to rank prospects and focus your time on the deals most likely to close. Explore Course Resources to level up Nov 5, 11 AM ET Build an analytics app in plain English Manny Bernabe from Replit goes from a warehouse query to a working analytics app, live. Pull the data, chart it, ship it. RSVP Now Pre-Recorded Session How to get hired as a data scientist Duolingo, Pattern, and a major bank on what separ