Just completed a telco customer churn analysis project using R. Key insights: ~26.5% churn rate Month-to-month customers churn the most Fiber optic users have highest churn Built a high-risk customer segment (~70% churn). GitHub: https://t.co/F2nIpoZeYa

Nigerians actually don't know that there are Nigerian recruitment agencies hiring remote workers right now. Not US agencies. I mean Nigerian ones. Check them out 👇

DAX is the weapon fashioned against BI analysts right? 🤔But thank God for Copilot.

Baruch Hashem Adonai!!! Blessed is He who comes in the Name of the LORD!!! Happy Palm Sunday friends.

We all are data analysts, somehow we analyze some random data everyday. We just don't all do it in a formal way. #datafam #dataAnalytics

📊 Hiring: Data Analyst 📍 Role: Data Analyst (Excel / SQL / Power BI) 📌 Mode: Remote 💰 Pay: $35 – $80/hr 🔗 Apply: https://t.co/bgUDLt7fGh⁠ Repost for others 🔁

A beginner asked me that before learning power BI, you must have learnt power AI right? Then you go to power CI. 😁😁😁

Did you know that about 70% of the approximately 400million terabytes of data generated daily are generated by users not by machines?🤔

This is my story and it can be yours too!! And I can help you get there, all you need to do is follow and turn on notifications And do what I tell you to do!

Once you start attending upper room, there's no going back

Dear data analyst, how do you handle missing values while cleaning? 🤔

Btw what if the dataset you were given to work with is insufficient to answer the business questions. What do you do as a good data analyst? 🤔 Wetin yo go tell stakeholders?

If you’re a Data Analyst, looking for experience to add to your CV, Here are 10 platforms where you can volunteer or intern in data analytics, all with relatively straightforward application processes: VOLUNTEER PLATFORMS 1. DataKind ( https://t.co/ozEj5FRBgH) You create a

The tools are not what makes you an Analyst. Solving problems with them does.

Nothing screams "data analyst" than this

Amazing insights; follow the git-hub link to appreciate it

How long does it take to become a good Data Analyst? (And how to get hired faster) There’s no one-size-fits-all answer, but here’s what actually determines how fast you progress. Your Background Matters: Already have a foundation in Math, Computer Science, or Engineering?

“Start with Excel” doesn’t mean Excel is the best tool (arguably it is) It doesn’t mean Excel is the only tool It doesn’t mean Excel is more important (arguably it is) It simply means Excel makes it easier for beginners to learn It is more relatable, it’s friendly Which is

Data Analysts! Today, I’ll be dropping a step by step process for Cold pitching to get a Data Analyst’s Role. If you’re interested in learning these steps, connect and drop and comment below.

Building in public Day 23! Today is analysis day!! This is my favourite part of any data project. Because this is where the story reveals itself. We explored the Sales Pipeline Dataset. We asked it powerful questions. We cleaned it until it was ready. Now we find out what

I interviewed a candidate today for a Data Analyst role. Everything was going well until I asked: “How do you handle messy or incomplete data?” He smiled confidently and said: “I clean the data using Excel and remove errors.” I followed up: “Can you give a specific example?”