1. Learn cybersecurity now. That skill will change your life for good. The field still has few skilled people, so get a professional certification and sell your services aggressively. Learn with platforms like Coursera and Udemy.
2. 30 percent of your income must go strictly into savings. Commit to this for at least 10 years and you will see a massive difference.
3. Buy a car before you even think of building a house. The connections, approvals, trust, and opportunities that come with owning a car are impossible to get from a house. Especially if you are into business, a car puts you far ahead of your peers who are still jumping buses and climbing okada. People rush to build houses because they are less informed.
4. Instead of buying one plot of land for 10 million naira and spending 90 million naira to build a house, buy 10 pieces of land and hold them for 10 to 15 years. You can easily make 500 million naira or far more, depending on the location.
5. Not everybody will make it in business, but many will win through smart investments. Invest in government securities, money market funds, stocks, and land.
6. If you are in your 20s or 30s, forget about building a house right now. Rent a good place and invest 3 to 5 million naira in mutual funds. That single move can cover your rent for years. Take the money you wanted to waste on a house, put it into business. If you do not know how to run a business, buy lands in developing areas and invest the rest in money market funds. In 10 to 15 years the results will blow your mind.
Bonus tip: If you have rich friends who can lend you up to 100 million naira that they do not need urgently, invest it in mutual funds or government securities through your bank for one year. Collect the 18 to 20 million naira return, return the principal to your friend, and repeat the process.
Stop trading your future for temporary pride. Stack assets aggressively. Invest first, build later, and build bigger. The compound effect is real. Start today.
Above all, love God.
Like they do every year, LinkedIn just released their “Jobs on the Rise” reports across multiple regions, including the UK, United States, Australia, India, and several others. These reports highlight the fastest-growing roles based on hiring data over the past three years and provide a reliable signal of where the global labour market is heading.
There are many takeaways from these reports, especially for remote talents, recruiters, founders, and career switchers trying to position themselves ahead of the curve rather than reacting late.
1. AI and machine learning
First, it’s not surprising that AI and machine learning roles dominate the rankings across nearly all regions. As more companies integrate AI into products, operations, customer support, marketing, and decision-making, demand for both technical and applied AI talent continues to surge.
At its core, this further reaffirms my 2026 thesis that is now an enabling layer across every industry. However, talents looking to upskill in this niche should note that the fastest-growing AI roles are not limited to “hard-core” research positions.
According to the report, demand is especially strong for skills such as:
✅ Applied machine learning
✅ AI systems integration
✅ Prompt engineering and model interaction
✅ AI product implementation
✅ Automation and workflow orchestration
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2. Sales roles follow closely
Following closely on the ranking list are sales roles and this cuts across industries, seniority levels, and regions. Regardless of what you do, we are all in sales.
From single people pitching their personality to their crush, to graduates applying for trainee roles, founders pitching investors, consultants pitching retainers, and freelancers pitching clients, we are all selling something.
In fact, you will struggle in freelancing if you are a poor salesperson. That’s the uncomfortable truth.
The report highlights growing demand for sales roles in areas such as:
✅ Enterprise sales
✅ Technical and solutions sales
✅ Advertising and revenue partnerships
✅ Business development and growth roles
Interestingly, the report also reflects rising demand for professionals who can use modern sales tools including CRM automation, AI-assisted prospecting tools, and outbound systems. These are skills that founders and business owners increasingly value as customer acquisition becomes more competitive.
3. Data skills
Another notable inclusion across regions is data-related roles, particularly data annotators.
You might ask, What exactly do data annotators do?
In simple terms, data annotators label, clean, and structure data so that AI and machine learning models can learn accurately. Without high-quality annotated data, even the most advanced models fail.
Practically, data annotators are expected to be skilled in areas such as:
✅ Data labeling and classification
✅ Text, image, audio, or video annotation
✅ Attention to detail and quality assurance
✅ Basic data tools and annotation platforms
✅ Domain understanding (e.g., language, healthcare, finance, maps)
What’s particularly interesting is that many data annotators do not come from STEM backgrounds. The report and real-world hiring trends show strong participation from people with backgrounds in linguistics, humanities, social sciences, and education. I personally know someone with a degree in linguistics who works successfully as a data annotator.
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4. Project management
Finally, project management roles feature consistently across regions. As organizations juggle distributed teams, complex products, AI initiatives, and tighter timelines, the need for people who can coordinate execution has grown sharply.
You see, back in 2013, I used to be that guy with brilliant ideas but who did absolutely nothing about them.
One day, I attended a pitch event where they needed four business ideas. I submitted three… and they picked all three.
They called my name once. Then again. Then a third time.
And the crowd would murmur each time: “It’s the same guy, he’s already up there!”
So instead of four different people standing on stage, it was just me and one other person. And there I was, standing tall, grinning like a fool, full of pride.
But I later realized something that changed my life: that ideas are BS.
Because I never executed any of them. I kept “refining”, endlessly polishing ideas.
Then one day, I woke up and decided to stop overthinking.
I built my first website, launched my first info product… and soon, I was making enough small change to “pimp up” my small room in our family house and buy an old Audi 80.
That’s when I learned one of the most powerful business lessons ever:
Execution is all that matters.
Sometimes, you just have to jump in and figure things out as you go, ideas are just mental farts.
The people who make the most headway in life are not the ones with genius ideas.
They’re the ones who take something simple… and push the living daylight out of it.
I'm deleting this soon because it's a legit cash-printing formula.
𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘𝗘 (PART - 3)
1. Artificial Intelligence + Data Analyst
2. Machine Learning + Data Science
3. Cloud Computing + Web Development
4. Ethical Hacking + Hacking
5. Data Analytics + DSA
6. AWS Certified + IBM COURSE
7. Data Science + Deep Learning
8. BIG DATA + SQL COMPLETE COURSE
9. Python + OTHERS
10 MBA + HANDWRITTEN NOTES
(72 Hours only ) Cost About - $500
To get: -
1. Follow (So I can DM you )
2. Like & retweet
3. Reply " Send "
I recently worked on this Power BI project analyzing 2 years of sales data for Premier Global Mart and I am excited to share!
Workflow:
⚙️ Data Cleaning: Ensured data accuracy by handling missing values and ensuring consistency.
💼 Segment Performance: The Consumer segment had the highest sales volume, indicating strong B2C demand.
🌎 Top States: California and New York dominated state-level sales, suggesting potential for targeted marketing in these areas.
By breaking down revenue by region, salesperson, and product, this analysis sheds light on strategic opportunities. Visualizing these metrics helps target growth areas and optimize sales strategies. #DataAnalytics#SalesAnalysis#Tableau#DataDriven
📊 Coleman Global Sales Report for 2023!
Key takeaways:
- Total revenue hit £435.04K, with Nancy Freehafer as top salesperson.
- North region contributed £141.66K (32.56%) to total revenue.
- Revenue peaks in December (£67K.)
- Coffee & Marmalade topped product list.
Questions Answered by the Analysis:
1) How does revenue distribution vary by salesperson, region, and customer?
2) How does revenue trend month-by-month throughout the year?
3) Who are the top-performing salespeople and customers in terms of revenue?
- High GDP per capita correlates with lower suicide rates.
Recommendations are included for policymakers, healthcare providers and individuals to curb the Suicide globally. #VephlaUni#DataAnalysis#MentalHealth
⚱️GLOBAL SUICIDE ANALYSIS BETWEEN 1985-2016
Tool Used: Ms Excel
I came across this Dataset (Global Suicide Cases between 1985 to 2016) on https://t.co/7gVbp6VqRA and i decided to carry out an extensive analysis. Here are the key questions i found answers to:
Key insights:
- Boomers & Silent generations had the highest cases.
- Age 35-54 most affected.
- Russia leads in cases -Luxembourg leads in GDP per capita.
- Peak in 1999 & decline towards 2016.
- Males: 76.89%, Females: 23.11%.