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These are the 4 most sought after Data Tech courses in the world at the moment. We've curated the best curriculum to get you from a novice to an entry level Data Associate in a couple of weeks.

@SheetBrainApp Way to go

@datafrik_co Yes, and for work spreadsheets I would add one habit early: audit your own formulas. Check duplicate lookup keys, mixed text/number columns, hidden spaces, and whether pivot/report source ranges still cover new rows. That catches many silent spreadsheet mistakes.

"Want to break into data analysis in 2026? Here's what actually works Follow this thread

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Listen to the recording of our session here if you missed out. x.com/i/spaces/1YxNr…

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Excited to be speaking at @datafrik_co's upcoming Space! 🎙️ Breaking Into Tech Through Data: First Things First 📅 14th May, 2026 ⏰ 7PM WAT (UTC+1) 📍 X Space - @datafrik_co If you're trying to break into tech through data, this one's for you. See you there! #Data

Everyone wants to break into tech but most people don't know where to actually start. Tomorrow, we're fixing that. Our first AMA Session is tackling the question that stumps most beginners, what do you do first? And we've got Taiwo Omotayo @omotayotaiwo18, Co-Founder of InsightArc Consult, coming in with the practical answers. Don't miss it tomorrow, come with your questions and get ready to leave equipped. Follow us and reshare to your network #AMAsessions #Datafrik #Edtech

The data world can feel intimidating until someone breaks it down for you. That's exactly what AMA Sessions with Datafrik is for. Every Thursday in May, bring your questions and get detailed answers from the pros. Are you excited about this update? Let us know in the comments #AMAsessions #Datafrik #Edtech

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If you are interested in data analysis, AI and cloud, join this channel whatsapp.com/channel/0029Vb… For job opportunities, tips and free resources

Step 6: Sign up for upcoming bootcamp - datafrik.co/Bootcamp/ Save this. Share it with someone trying to break in.

Step 5: Apply before you feel ready. Most analysts learn 80% of what they need on the job. If you can write SQL, clean data in Python, and present findings clearly you're ready. Apply to 5 roles this week…

Step 4: Build a portfolio that thinks like a business. Skip Titanic survival prediction. Instead analyze a real public dataset, build a dashboard, write your findings like a business memo. Hiring managers want to see how you think, not how many tutorials you finished.

Step 3: Learn Python for automation, not for clout. Focus on pandas for data cleaning, matplotlib/seaborn for quick visuals, and basic scripting. Your first project goal: automate a report someone currently builds by hand every week.

Step 1: Start with SQL, not Python. SQL shows up in 90%+ of data analyst job descriptions. Learn SELECT, JOINs, window functions, and CTEs. Practice on real datasets. Write queries that answer real business questions, not just "hello world" exercises.

If you've been wondering where to start with Python, this is your sign, your roadmap, and your plan all in one post. Start Month 1 today. And when you're ready to stop guessing and start learning with structure + support? Access here; datafrik.co/bootcamp/pytho…

Six months ago, you said "I want to work in data." What happened next? If the answer is nothing, Datafrik Bootcamp is your reset button. Get the skills, build the portfolio and make the move. You get access to hands-on training, industry-relevant projects, a community that keeps you accountable. That's what's waiting for you inside the Datafrik Bootcamp. Are you in? Use the link - datafrik.co/bootcamp/ #datafrik #bootcamp #edtech