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There’s almost no real signal left on my timeline right now Most of what we read is recycled But this week was different I found 12 good reads that actually give you an edge:

@Axel_bitblaze69 Better days ahead with this guide on claude.

claude forgets what you worked on yesterday… every new chat starts cold. you re-explain your setup every time. read this full memory article last night. layer 2 is the one worth doing. takes 15 mins. make a folder on your desktop. claude master folder or whatever. inside it 3 files. instructions.md is your rules. who you are, what you do, what good output looks like. add one line inside it. "update memory.md with my preferences over time". this is what makes the whole thing work. memory.md is mostly empty at first. just sections for preferences, corrections, patterns, decisions. claude fills it in as you work. context.md is your project stuff. what you're building, who you're building for, current priorities. attach the folder to claude code or cowork. claude reads everything before answering. when you correct it mid chat ("never use em dashes") it writes that to memory.md without you doing anything. backup the folder weekly. duplicate it, rename with the date. claude sometimes overwrites stuff and you want a copy. one add on top of this setup. claude-mem MCP. does the memory.md updates automatically across every session. don't even need the "update memory" trick line. plug in and forget. no wonder why it has 46k stars on github in a week.. i run both now. context lives in markdown. session continuity handled by claude mem. claude actually feels like it remembers me

@_trish_xD Java

first time you wrote hello world - what language did you use?

@officialladi_T @gaagana_ Excel is pretty easier to start with.

for your own sanity, do not start with Python as a newbie starting data analysis

@builtbyamiee What gets the job done most effectively

I have tasted Python I have tasted SQL I have tasted Power BI and Tableau I have tasted Excel I highly recommend using what gets the job done more efficiently for you🙃🤭

@JA_Olaoye Good piece here

This one is for anyone in their first 0–2 years in data. A short letter to you: If you’re entering this field, don’t start with the wrong mindset. Yes, money matters. But if money is your only reason… The moment things get tough, you’ll want to quit. Because it will get tough. Instead, see it like this: 👉 This is a career 👉 You’re building it brick by brick 🧱 That mindset will carry you further than hype ever will. - Don’t jump around. Pick a learning path and stay with it. Different people solve the same problem in different ways. As a beginner, jumping around will only confuse you. 👉 Finish what you start. - Don’t compare yourself to anyone. Online or offline. Comparison drains you. Focus on learning, practicing, and trusting your journey. - Consistency is your real advantage. Not talent. Not tools. 👉 Showing up, again and again. - If you can, get a mentor or an accountability partner. It helps more than you think. - And listen carefully: You are not selling code. You don’t sell SQL. You don’t sell dashboards. 👉 You sell solutions. Always think in that direction. - Study trends. Take notes. Stay aware by reading Books. Blogs. Articles. You’re not just learning tools… You’re learning how data professionals think and communicate. - Start applying for roles as soon as you can work with data. Don’t wait till you feel “perfect” - Soft skills are not optional: Communication, Curiosity, Critical thinking. Drop the mindset of “I don’t talk too much” This field requires you to explain what’s going on. So, People need to hear you. And finally… Hold on to your faith. It will come together. Stay calm. Keep building. #AI_Data_Savvy_Drive #DataCareers

@nikku762 After Power Bi, SQL next

@danieljosef088 same here 👍 i also started with excel, now learning power bi 😅

**genuine question 👇 learning power bi right now… if power bi can do almost everything excel does, then why do people say start with excel first? 🤔 am i missing something?**

@Obiekweemma Summarizing large data

What is a Pivot Table mainly used for? A. Formatting cells B. Sorting data C. Summarizing large data D. Writing formulas

@Obiekweemma Line Chart is best for showing trends

Which chart is best for showing trends over time? A. Pie chart B. Column chart C. Line chart D. Bar chart #excel

@vheeorji22 Beginner

drop your excel skill level below 👇 A. beginner B. intermediate C. Advanced

@YmerAbdulhakimi @baba_Omoloro I already fixed it

@danieljosef088 @baba_Omoloro Is your phone android or ios?

The largest truly open library in human history Is Anna's Archive. annas-archive.gl

@UOkarevu64498 @ezekiel_aleke Hello

@ezekiel_aleke Hiii

If you’re a data analyst or you’re interested in data analysis Say hi in the comment and connect with each other

@mosesmaryy @ezekiel_aleke @SAMUEL_OIM Hello

@ezekiel_aleke @SAMUEL_OIM Hi Let be mutual Dataminds

@Mhes_o @ezekiel_aleke Hello

@ezekiel_aleke Hi Let’s connect

@Ekvn_ @ezekiel_aleke Hello

@ezekiel_aleke Hi

@nubianqueentess @ezekiel_aleke Hello

@ezekiel_aleke Hi

@nikku762 @ezekiel_aleke Hello, let's connect

@ezekiel_aleke Hey, I’m currently learning data analytics and building my skills in Excel & Power BI. Would love to connect with like-minded people here 👋

@CollinsKimotho @ezekiel_aleke @gaagana_ Hello

@ezekiel_aleke @gaagana_ Hi 👋