Car manufacturers should also put horns on the side of passengers seat, we also have friends to greet

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 (datakind.org) You create a

This right here is the message most people ignore. Let me add something practical to it 👇 The best Data Analysts don’t win because they know Excel, SQL or Power BI. They win because they follow a thinking framework: > Problem first → What decision are we trying to make? >

WHY IS THERE AN EXPIRY DATE ON BOTTLED WATER? DOES THE WATER EXPIRE? You grab a bottle of water from your fridge or a roadside shop and spot that expiry date on it. You begin to ask yourself if the water goes bad. Here's what you need to know. The water itself doesn't expire.

The tools were never the real skill in the first place. AI exposed them all. It has always been thinking, problem framing, and turning data into impact oriented decisions.

The disrespect 😑

Just say you don't know math.

I’ve never seen someone get promoted because their query was “technically impressive.” I’ve seen people get promoted because: - their work doesn’t need explaining - stakeholders don’t question their outputs - managers don’t worry when they’re assigned something critical That’s

If you're a Data Analyst, Operations Analyst, or aspiring Supply Chain & Logistics Analyst who wants to move from reporting dashboards to driving real supply chain decisions, read this: Dashboards are not enough. Modern supply chain teams promote analysts who can: • Forecast

I’ve worked in teams where: - pipelines broke weekly - dashboards showed different numbers - definitions kept changing At the same time, those teams were: - experimenting with ML - talking about automation - hiring “advanced” roles That’s not progression. That’s instability

The role that changed my trajectory wasn’t the most technical one. It was the most uncomfortable one. I moved into a team where: - metrics were inconsistent - stakeholders disagreed on definitions - no one fully trusted the data At first, it felt like a downgrade. Less clean

The countdown begins. Teams at NASA's Kennedy Space Center have arrived to their stations at the Launch Control Center. We are about 48 hours from the launch of the Artemis II mission around the Moon. go.nasa.gov/4bHcwzx

What separates seniors from strong mid-levels!! Mid-level: solves the problem they’re given. Senior: questions whether it’s the right problem. Mid-level: optimises the analysis. Senior: optimises the decision. Mid-level: focuses on correctness. Senior: focuses on usefulness.

Dear April, be nice…..

I beg you, please watch this event Launch window opens in ~7 hours. Plenty of streams featuring Artemis II coverage. This will be a massive moment in human history, and like Apollo 8, will spark a renewed interest in crewed spaceflight. To the moon! 🚀🚀🚀

So excited to watch Artemis II 🚀 A lot of people wonder: Why doesn’t the rocket just go straight up? Why does it tilt and fly sideways? Fair question and here’s the simple idea: Fighting gravity straight up takes the most energy. If a rocket tried to go straight up the