M. A. Yusuff

Forty plus trying to pivot to data analysis

[Dr Oludayo Sokunbi @Oludeewon]

PwC (PricewaterhouseCoopers) is actively recruiting for entry-level roles, internships, and related programs, with rolling applications ongoing as of April 2026.

I recently came across some past questions that you can use to prepare for the PwC recruitment process.

The links below contain both the Cornerstone Assessment and SHL Assessment.

https://t.co/wQMzfaPV1R…

https://t.co/VMtFLz2Yy1…

https://t.co/sNDFrv0Wdr…

[Omoalhaja @omoalhajaabiola]

RT this tweet if you are a procrastinator

[Name cannot be blank @hackSultan]

Damnnnn. It’s almost 12 today and I’ve forgotten about following 100 people daily 🤦🏻‍♂️🤦🏻‍♂️🤦🏻‍♂️

If I’m not following you and you’re Nigerian, just RT. No need to comment.

[Nte Daniel || Data Analyst → Engineer @iam_daniiell]

Enough of sales data analysis…

Who’s interested in this project??

I’m working on it with my students using SQL..

But you can use any tool, Lemme know in the comments..

#Datafam

[Name cannot be blank @hackSultan]

Day 2.
Followed 100 yesterday, Following another 100 people today, and you guys are right, it shouldn’t just be tech people only. So yeah, just RT this and drop a comment 🤝🤝

[M. A. Yusuff @Techmama6]

@hackSultan Hello

[Joy.xls @joyibe_]

Self-studying data analysis?

One of the hardest things is figuring out what projects to build.

So I compiled 100+ data analytics portfolio project ideas across 16 industries, categorized by beginner, intermediate, and advanced levels.

Use this to build a portfolio that actually stands out.

Link below 👇

https://t.co/YnbwyKRTU2

[M. A. Yusuff @Techmama6]

@TheOyegoke Oh God! Gang, sis! I hate that pill so much.
Also, good answer, 😂

[Ayan Khan @AyanKhann15]

beginner friendly framework:
why → what → when/who → how → so what

example:
→ what problem are we trying to solve?
→ what metrics are we looking at?
→ what is the time-segment?
→ how will i analyze it?
→ what action can be taken?

[Omoalhaja @omoalhajaabiola]

What do you want to learn?

[Joe Steve 💻 ♟ | GTM · Sales Funnel · Automation @joesteve__]

When buying a laptop for real performance and efficiency, focus on four things that actually matter.
Generation > core count > Ram > processor speed.

Let me break them down.

Start with generation.
This is the most misunderstood part. A newer generation chip is usually faster and more efficient than an older one, even if the older one sounds more powerful. For example, an 8th gen Core i5 can outperform a 6th gen Core i7 because it has better architecture, improved multitasking, and smarter power management.

Next is core count.
More cores mean the laptop can handle multiple tasks at once without slowing down. Many older i7 processors have fewer cores than newer i5 chips. That’s why a newer i5 can feel smoother when browsing, coding, editing, or running several apps at the same time.

Then comes RAM.

Think of RAM as the space on your table while doing homework. The bigger the table, the more books and notebooks you can open at the same time without stacking them on the floor. If the table is small, you keep rearranging things and everything slows down.

RAM decides how many apps, browser tabs, and background tasks your laptop can handle smoothly. With 8GB RAM, basic work like browsing, documents, light design, and coding can feel smooth. But once you open many tabs, apps, or heavier software, the laptop starts to struggle. Even with a fast processor, low RAM forces the system to pause, reload, and feel laggy. More RAM simply means less waiting and smoother multitasking.

Now let’s talk about processor speed.

Processor speed is how fast your laptop can think and finish tasks. But it’s not just one speed. There is a normal speed it runs at, and a faster speed it can jump to when you need power, like when opening an app or exporting a file.

Some processors can only run fast for a short time before slowing down to avoid overheating. Newer processors are better at staying fast longer without getting too hot. For example, an older processor might feel quick at first but slow down after a few minutes of work. A newer one stays steady and smooth.

This is why a newer 2.4GHz processor can feel faster than an older 3.0GHz one. It’s not just about the number, it’s about how smart and efficient the processor is while working.

What’s your laptop generation, core, RAM, and processor speed?

[Excel Dictionary @exceldictionary]

How to automatically convert PDFs to Excel. 📄

Test out building an app with Emergent today for FREE: https://t.co/GtOZb8vipp

#emergent #ai #emergentpartner #chatgpt #app #excel #exceltips #exceltricks #spreadsheets #corporate #workhacks #tutorial #sheets

[M. A. Yusuff @Techmama6]

@kikimordi Yes!

[Klara @klara_sjo]

Where do bad rainbows go?

To prism.

It's a light sentence, but it gives them time to reflect.

[JP Attueyi @jpattueyi]

You live in Nigeria
You work as a consultant for a foreign company
You have a valid contract
They pay you USD into your domiciliary account
So far, this is fine. Nothing illegal here.

The problems start after the money lands.

From the taxman’s point of view, three things matter:
1. Where the work is done → Nigeria
2. What the income is → taxable income
3. How the money moves after receipt.

The new tax posture is obsessed with money trails, not intent.

What happens when you withdraw USD and sell it on the black market?

Let’s walk it slowly.
Step 1: USD enters your dom account
This is recorded. Banks report inflows.
Taxman sees:
“USD X entered this person’s account.”
No issue yet.

Step 2: You withdraw USD cash
This is also recorded.
Taxman sees:
“USD X entered… then exited in cash.”
At this point:
there is no official conversion record
no approved FX channel
no verifiable rate
This creates a documentation gap.

Step 3: You sell the USD privately and deposit naira later
This is where trouble begins.
FIRS now sees:
“Large naira deposit entered account later.”
But there is no bank FX trail linking:
the USD withdrawal
to the naira deposit
at an approved rate

So, from the system’s perspective, this naira inflow looks like new income.
Not “converted income.”
Not “already earned income.”
Just money that appeared.

How the system can punish you

1. Double counting risk

Worst case:
USD inflow is treated as income
Naira deposit is treated as another income
You now have to prove they are the same money.
Memory doesn’t count.
Explanation doesn’t count.
Only records count.

2. Expense & deduction denial
If you claim expenses later (rent, data, tools, etc.):
Taxman can say:
“Show us the approved FX source for the naira you spent.”
If you can’t:
expenses may be disallowed
taxable income increases
tax bill increases
You are taxed on paper profit, not real profit.

3. Estimated assessment
If inflows don’t reconcile neatly:
FIRS is allowed to:
estimate your income
assess tax based on lifestyle & bank data
shift the burden to you to disprove it
This is deadly if records are weak.

4. Suspicion of concealment (even if none exists)
Repeated:
cash withdrawals
private conversions
unexplained deposits
can trigger:
deeper reviews
third party data requests
aggressive questioning

Remember that with the taxman, you are guilty until proven innocent!

[Annie🦋 @DabereNnamani]

I said my goal this year is to Land you a Data gig Right??

Now let’s get you ready!!

Data Analytics Job-Ready Checklist:

1. Core Skills (Must Have)
•Excel: Pivot tables, XLOOKUP, data cleaning
•SQL: SELECT, JOIN, GROUP BY, subqueries
•Power BI / Tableau: KPIs, dashboards, storytelling
•Basic stats: averages, trends, percentages

2. Projects (Very Important)
•Build 3–5 real projects
•Each project must show:
◦Problem → analysis → insight → recommendation
•Publish on:
◦Power BI Service / Tableau Public
◦GitHub/Medium

3. Resume
•List tools you actually use
•Add numbers:
◦“Improved reporting speed by 40%”
•Focus on projects, not certificates

4. Social media optimization
•Headline:
Data Analyst | Excel | SQL | Power BI
•Post at least 1 project weekly
•Engage with data posts daily

5. Interview Prep
•Practice:
◦SQL queries
◦Explaining dashboards
◦Business questions (“So what?”)

[🍦 @timebokkaraa2]

Data Science Projects ❤️❤️

link - https://t.co/50S5E3zJlI

Share for visibility ✅

[Budget • Side Hustle • Investing @SelmaMakesCents]

For college students AND those who still have access to their college or .edu email 👀

I’m no longer in school, but my college email is STILL putting in work. Here are discount I find worth it ➡️

[First We Feast @firstwefeast]

... i was today years old when i learned i don't read enough.... 😮‍💨🦎🦗 #hotones