DataCamp @DataCamp

If you're in San Francisco tomorrow, this one's worth clearing your schedule for. Snowflake Dev Day—June 4, Moscone Center, free—is a full day for engineers, data scientists, and AI builders. Hands-on bootcamps, live demos, and real talk on where AI is headed. A few sessions worth catching: - When Agents are Your Users: Architecting the New Application Layer - The Autonomy Paradox: Will Humans Always be in the Loop? - Winning when Code is Free: How Developers Build Defensible AI Startups Speakers from Snowflake, OpenAI, Vercel, Cursor, and CrewAI. 🖇️ ow.ly/K1pT50Z7kCA #SnowflakeDevDay #AI #Agents #DataScience

By Sunday you won't just 'know' about AI. You'll have built with it. Free Access Week ends Sunday—that's 5 days, one course a day, from "I use ChatGPT sometimes" to "I can build an AI application." Wed—Introduction to ChatGPT: get hands-on with the tool you'll touch every day Thu—Prompt Engineering for Business: write prompts that produce real work output, not generic fluff Fri—Large Language Models (LLMs) Concepts: understand what's under the hood so you can pick the right tool and fix what breaks Sat—AI Ethics: spot bias, risk, and failure modes before they reach your work Sun—Building AI Applications: go from user to builder and ship something real Every lesson is hands-on—you apply as you learn, with an AI tutor guiding you in the browser. No passive watching. Free this week, no subscription needed. Start today. Thank yourself Sunday! ⛓️‍💥 ow.ly/iv0k50Z7kkN #FreeAccessWeek #DataCamp #AI #PromptEngineering #LLM

@ASpittel This. The BLS still projects 34% growth in data science jobs through 2034, so the demand isn't going anywhere. What's changing is the toolkit: prompt design, RAG, AI coding assistants are table stakes now alongside Python/SQL. The fundamentals matter way more, not less.

@DataLemurHQ 100%. SQL is in 90%+ of data job postings and it's the fastest skill to go from zero to "actually useful at work." Learn SQL first, then layer Python on top for automation and modeling.

@piyush784066 Solid roadmap. Also don't sleep on orchestration tools (Airflow, Prefect) early on. Understanding how pipelines are scheduled and monitored separates junior DEs from mid-level fast. We put together a deeper breakdown with tool recs and project ideas here: datacamp.com/blog/how-to-be…

@ReneYibowei 100%

I vibe coded an app in 60 seconds. Looked perfect—then one messy calendar entry returned NaN. Only knowing Python would've caught it. Vibe coding builds the tool. Python stops you shipping it broken. Free Access Week's on + a free vibe coding event June 22nd 👇 FAW: ow.ly/85qZ50Z6yyL Event: ow.ly/liaV50Z6yyI #Python #DataScience #VibeCoding

A Senior Applied Scientist at Twitch says she passes technical interviews not on talent, but on 100 hours of prep, guessing every question in advance. Her full playbook for breaking into data + AI in 2026 🎧 ow.ly/3Tic50Z6zPr #DataScience #AICareers

@smratitiwa86867 Great list! One thing to add - we've got free courses across Python, SQL, and Power BI right now (all classic courses and tracks are free this week). Worth bookmarking if you're starting the analytics path: datacamp.com/blog/how-to-be…

@kasmiyouness1 "Learn how to have a conversation with AI" this is the real skill. Vibe coding without fundamentals is just generating tech debt faster. We broke down exactly where it works vs where it falls apart: datacamp.com/blog/vibe-codi…

@vheeorji22 Solid list. One addition: don't sleep on Python. Even basic Pandas will 10x what you can do with raw Excel/SQL. Here's a full 12-month roadmap if you want the step-by-step: datacamp.com/blog/data-anal…

Students + educators: where are you on your AI journey? 🤖 Be honest 👇 Free for students & educators: ow.ly/6Gh050Z6yMY #AILiteracy #DataCampClassrooms #LearnAI

Why Python? - #1 for data science & AI - Reads like English - Powers Google, Netflix, NASA - Avg salary: $120K+ It's Free Access Week on DataCamp. Every classic course. Zero cost: ow.ly/HfhA50Z6vx3 #Python #FreeAccessWeek

The Snowflake SnowPro® Core Certification is one of the hottest cloud data certs right now. Our new prep track, built in collaboration with Snowflake: 3 courses, ~9 hrs, mapped to the COF-C03 exam 🔗 ow.ly/Gglp50Z6c6G Finish it and you unlock $50 off the official exam, code sent to your inbox. Plus—@Snowflake Dev Day, SF, June 4, free: ow.ly/EMQj50Z6741 #Snowflake #DevDay #DataEngineering

@Oluyemi2580 Hi! All classic DC courses and tracks are free this week, indeed!

AI agents are changing how we analyze sport. Here's how to build one yourself. 🤖⚽ You've probably heard a lot about AI agents lately. But what does one actually look like in practice — and how do you build it? On June 11, we're running a free code-along session that answers both questions using one of the most exciting datasets on the planet: real FIFA World Cup match data. Here's what makes this different from a typical tutorial: You're not just learning about agents. You're building one. Ignacio Martínez Rincón, our Data Scientist Advocate, will walk you through how to create an AI agent that can: → Query real FIFA World Cup match data → Interpret and analyze what it finds → Go beyond dashboards and surface insights you'd never get from static analysis Why does this matter beyond football? The same principles behind a soccer analytics agent apply to any domain where you need AI to reason over structured data — finance, healthcare, operations, you name it. Sports is just the most fun place to learn it. What you'll need: No advanced ML background required. If you're comfortable with Python and curious about AI agents, you're ready. This session is part of our free FIFA World Cup expert series — three sessions, real researchers and data scientists, zero cost. One registration unlocks everything: ✅ All live sessions ✅ All guides and resources ✅ The full curriculum to go deeper after The World Cup is the biggest sporting event on the planet. This summer it's also one of the best excuses to level up your AI skills. 👉 Register free: ow.ly/c7V950Z4IIh

@TTrimoreau 100%. Vibe coding is incredible for speed, but someone still needs to understand what the AI wrote, especially when it breaks at 2am in prod. The fundamentals aren't obsolete, they're the debugging layer. We mapped out the real tradeoffs here: datacamp.com/blog/vibe-codi…

@adahstwt The real cheat code: don't try to learn all paths at once. Pick one combo (Python + Pandas is the fastest to a paycheck), build 2-3 projects, then expand. Here's a solid roadmap for going from zero to job-ready: datacamp.com/blog/how-to-le…

@AmitKumarDev_ ROW_NUMBER() is the workhorse for sure, deduping and "latest record per group" come up constantly. But LAG() quietly wins once you're doing any kind of time-series or period-over-period work. What are you using ROW_NUMBER() for most?

SQL window functions will change how you write queries. RANK(), LAG(), LEAD(), ROW_NUMBER()—one line each, no subquery needed. What they do: → ROW_NUMBER = unique rank per row → RANK = rank with tie gaps → LAG = previous row value → LEAD = next row value Worth adding to your toolkit. #SQL #DataCamp

Florence Nightingale didn't just save lives through nursing. She saved them through data visualization. In the 1850s, she created a polar area chart—sometimes called a "rose diagram"—showing that most soldier deaths in the Crimean War weren't from battle wounds. They were from preventable infections. The visualization was so clear it convinced the British government to reform military hospital sanitation. That's what the right chart can do. Our guide to data visualization examples covers everything from scatter plots and Sankey diagrams to choropleth maps and treemaps, with real examples of what good and bad visualizations look like side by side, and why the difference matters. Worth reading if you work with data and ever have to explain it to someone else...which goes for almost everyone. Full guide (updated Jan 2026) 👇 datacamp.com/blog/data-visu…