DataCamp

It's official: @AnthropicAI courses are coming to DataCamp—free for learners. The first one just dropped: Claude Code 101. Learn AI-assisted dev workflows, created by Anthropic. Get started for free. 👉 datacamp.com/courses/claude… #DataCamp #Anthropic #Claude #AILearning #DataSkills #LearnAI #AIEngineering

@w3rk_co_za We’d love that too, especially projects that go beyond chatbots, like AI agents that organize research, summarize meetings, generate dashboards from raw data, or automate repetitive workflows with minimal code!

@DataCamp This is an exciting list! I'd love to see more examples of low, code projects that really showcase creativity. What are some unique use cases you think are worth exploring?

13 LLM projects for every skill level 💡 From low-code experiments to full AI agents — pick your next build 👇 #LLM #AI ow.ly/4Pss50Z38mX

@simplydt Probably the LangGraph + Self-RAG projects, they’re closest to production-ready AI systems with memory, orchestration, and self-correction built in.

@DataCamp nice range, which project scales best from prototype to product?

@FrancescoCiull4 It's a scary moment for a lot of people in data. The skills holding up best are the ones AI can't replicate; business judgment, stakeholder communication, knowing which questions to even ask. The hard truth is employers don't always see that, which is why layoffs happen. 😔

Tailwind just fired 75% of its staff, and revenue is down ~80%. It's a sad day for developers. The "AI won't replace you" crowd has been awfully quiet today. AI is advancing too rapidly, and open-source tools are struggling to keep pace. Is frontend dying? Or just evolving?

@PythonDvz The role expansion is real, AI ethics, MLOps, and analytics engineering barely existed as titles 3 years ago!

Data Science Career Paths in 2026 The data ecosystem is expanding beyond traditional roles. Companies now need professionals who can analyze, model, engineer, deploy, and govern data at scale. From Data Analysts driving business reports to Data Scientists building predictive models, from Machine Learning Engineers deploying production systems to AI and GenAI Engineers developing intelligent applications, each role plays a strategic part. Data Engineers build the pipelines. Data Architects design enterprise frameworks. BI Analysts translate metrics into executive decisions. What connects them all? Strong foundations in programming, AI, cloud, data infrastructure, visualization, and business understanding. The future belongs to professionals who combine technical depth with business impact. Which path fits your strengths?

@PythonDvz SQL still holding the crown at 31%, no surprise there. If anyone's looking for a structured way to tackle these skills, this 12-month data analyst roadmap lays it all out step by step: datacamp.com/blog/data-anal…

Data Analytics Skills Employers Want in 2026. The job market shifted FAST. These are the exact skills companies are hiring for right now 👇 Top Data Analytics Skills (by demand): 🥇 SQL - 31% (Still the #1 most wanted skill) 📊 BI Tools - 15% (Tableau, Power BI, Looker) 🐍 Python - 14% (Essential for data analysis) 📈 Excel - 14% (Foundation skill, still critical) 📉 R - 10% (Statistical analysis and modeling) 🔧 ETL - 7% (Data pipeline skills) 📊 Statistics - 4% (Understanding data distributions) 💾 SAS - 2% (Legacy systems, niche demand) 🗄️ NoSQL - 2% (Modern database skills) 🔀 Git - 1% (Version control for collaboration) Don’t learn everything. Focus on the top 4 skills that make up 74% of employer demand. Save this for your learning roadmap! 💾 Which skill are you focusing on in 2026? Comment below! 👇

Messi has 8 Ballon d'Ors. You have Python. On June 9, learn to analyze World Cup data just like a professional soccer analytics researcher 🧑‍💻⚽ Free webinar → "How to Deal with Messi Data" Grab the Python cheat sheet to warm up first 👇 Webinar: ow.ly/gLUy50Z385o Cheat sheet: ow.ly/y6vv50Z385g

SQL quiz 🧠 `SELECT AVG(salary) FROM employees` (all salary values are NULL) What does this return?

Data engineering: one of the best-paid tech roles in 2026 ⚙️ Complete learning roadmap 👇 #DataEngineering ow.ly/8nKg50Z2AM8

Gone past SQL basics and hit a wall? This tutorial covers what comes next—CTEs, recursive queries, and cleaner query patterns 🔗 ow.ly/tmJB50Z2AGK #SQL #DataEngineering

Great breakdown of the skills stack. The missing piece for most people is knowing what order to learn these in, as jumping between random tutorials kills momentum. We put together a 12-month roadmap that sequences these from SQL → Python → visualization → stats so each skill builds on the last: datacamp.com/blog/data-anal…

Skills Required to Become a Data Analyst 📊🚀 ✅ 🧠 ANALYTICAL THINKING 1. Problem Solving 2. Logical Reasoning 3. Pattern Recognition 4. Critical Thinking 5. Decision Making 6. Root Cause Analysis 7. Attention to Detail 8. Business Understanding 📊 DATA HANDLING 1. Data Cleaning 2. Data Transformation 3. Data Validation 4. Handling Missing Values 5. Data Wrangling 6. Data Integration 7. Data Formatting 8. Data Quality Checks 🗄️ SQL SKILLS 1. Writing Queries 2. Joins (INNER, LEFT, RIGHT) 3. Aggregations (SUM, COUNT, AVG) 4. Subqueries 5. CTEs 6. Window Functions 7. Indexing Basics 8. Database Optimization 🐍 PYTHON / R 1. Pandas / dplyr 2. NumPy 3. Data Cleaning Scripts 4. EDA (Exploratory Data Analysis) 5. Visualization Libraries 6. Automation 7. Statistical Analysis 8. Basic Machine Learning 📊 DATA VISUALIZATION 1. Dashboard Creation 2. Chart Selection 3. Storytelling with Data 4. Power BI / Tableau 5. KPI Design 6. Report Building 7. Interactive Visuals 8. Data Presentation 📈 STATISTICS 1. Mean, Median, Mode 2. Probability Basics 3. Hypothesis Testing 4. Correlation 5. Regression 6. Distribution 7. Sampling Techniques 8. A/B Testing 💼 BUSINESS SKILLS 1. Requirement Understanding 2. Stakeholder Communication 3. Business Metrics 4. Domain Knowledge 5. Problem Framing 6. Reporting Insights 7. Decision Support 8. Documentation ⚙️ TOOLS & TECHNOLOGIES 1. Excel 2. SQL Tools (MySQL, PostgreSQL) 3. Power BI / Tableau 4. Python / R 5. Google Sheets 6. Jupyter Notebook 7. Git (Basics) 8. Cloud Basics (AWS / Azure) 💬 Tap ❤️ for more

@didicoding Thank you so much!

whoa: Datacamp! The first platform I used to learn Python programming back then. My instuctor then was Hugo. I will recommend Datacamp for anyone who is serious in learning and levelling up their Data Analysis and Data Science skills in 2026.

@Pulkit_Meen @BuildWithOm @Pulkit_Meen consider yourself noticed 👀

@BuildWithOm @DataCamp why dont you notice me......

Can't believe I'm being noticed by such big accounts X is one of the best app

11 best open-source LLMs in 2026 🔓 No API bill—here's what each one is best for 👇 #OpenSource #LLM #AI ow.ly/BkCb50Z2a9x

Stop overpaying for LLM API calls 💸 If you're building with GPT-4 or any OpenAI model, your token costs can spiral fast—and most developers don't catch it until the bill arrives. Here's a simple Python trick using TikToken (OpenAI's own tokenizer) to count exactly how many tokens your prompt will use before you make the API call. No surprises. No mortgage-sized bills. Drop this into your workflow and you'll always know your cost upfront. 👇

@didicoding 100% this. The devs shipping fastest right now aren't the ones ignoring AI but those that learned which tool fits which task. We've seen the same pattern with teams we work with: the ones investing in AI literacy are outperforming across the board.

Everyone's talking about AI replacing jobs. Nobody's talking about the developer who used AI to land 3 freelance clients this month. Tools don't replace people. People who use tools replace people Do you agree?

The tool stack you know is becoming part of the interview, indeed. We just launched a free Anthropic Claude Code 101 course, goes from installation to advanced workflows. Whether or not you agree with Jane Street's approach, having Claude Code in your toolkit is quickly becoming table stakes: datacamp.com/courses/claude…

JANE STREET REJECTED A VIBE-CODER AT $650K/YEAR BECAUSE HE REFUSED TO USE CLAUDE CODE 32 minutes of live vibe coding during an interview at one of the most selective quant funds on the planet - and the moment they realized his tool stack didn't match theirs, the conversation was over. every tier-1 fund is now filtering candidates by which AI tools they use. claude code isn't a preference anymore - it's compliance. the guy could code. that wasn't the problem. the problem was he showed up to a claude code interview without claude code. 🤖

Solid list. One thing that makes the difference between watching tutorials and actually landing a role: a structured path that connects all these skills together. We put together a guide that maps out how to go from zero to building real AI projects, covers the order to learn things and what to skip: datacamp.com/blog/how-to-le…

Learn Data Science for FREE in 2026 — From Beginner to Job-Ready. 1. Python t.co/wySMuizZNz 2. SQL t.co/w2L18Sp4UD 3. Excel t.co/3Ek7GDNBjB 4. Power BI t.co/3wlmHSjzfd 5. Mathematics t.co/Ruh7i8F6aB 6. Data Analysis t.co/JMW7nmAxzk 7. Data Science using Python t.co/w2L18Sp4UD 8. Data Visualization t.co/yN5eJDqjsF 9. Machine Learning t.co/ypFVqMftQY 10. Deep Learning t.co/0tBM2InVcG 11. AI t.co/SjwXnGwUym 12. LLM t.co/ZCsSbDtPLY ❤️ Like 🔁 Repost 🔖 Bookmark

We had an incredible time at TechEx AI & Big Data Expo! 🚀 Highlight: Our Alan Gibson took the stage to deliver a session on "AI and Data Upskilling for Enterprises"—exploring how organizations can build the skills and capabilities needed to thrive in an AI-driven world. The conversation around workforce readiness has never been more urgent, and it was fantastic to see so much engagement from the audience. Big thanks to the team who made it happen on the ground: Alan Gibson, Patrick Blas, Marcus Williams, and Matt McNamara. 👏 If you attended Alan's session or just want to keep the conversation going, we'd love to connect—drop a comment or reach out directly. #TechEx #AIExpo #BigData #DataSkills #Upskilling #EnterpriseAI #DataCamp

New podcast ep: Reid Blackman and @richierocks on AI Ethical Nightmares 🎙️ Biggest fear? Not rogue AI—it's the death of shared reality. Listen here 🔗 ow.ly/9TCT50Z1KFk #AIEthics #DataFramed