₦airaland Forum

Elxandre:
Don't have a very short term focus, thinking money will start rushing in asap. That's why many give up after learning cos nothing is coming up immediately, not realizing good things sometimes takes time and effort. The harder the skill the more opportunitites basically.

Lonestar124:
I want to learn, teach me I will pay you for it

Demetrix:
Oh nice. I trade smart money concepts.

Mcslize:
That's awesome! Trust the process. How long have you been trading?

Georgry:
This year am working on digital marketing, ecommerce and digital products, i just hope everything goes well.

Miramonica:
We know smart people by them googling about things and not asking what it means here. Someone mentioned workflow automation...instead of asking him what it is, I immediately googled it and found out.

This 2026, make it a duty to conduct research.

Please I'm not targeting anyone oo.


That being Said, I will advice anyone serious to upgrade his or her life to learn a digital skill and Hussle on Upwork. There's money in that freelancing platform.

God bless us all.

everythingtall3:
Farming and learn to cook. so that by the time A.I takes over all your jobs completely, you won't starve to death

MikeyOz:
I made over $5k from video editing last year!

AI will evolve around so many skills including editing, I'm sharpening my skills around project centered contents for brands websites and applications while learning AI Integrations for these kind of businesses.

Here are some skills that can make you $10k/mo if you can lock in for the next 3 months

1. Workflow Automation
2. YouTube Automation
3. Prop firm Trading
4. Video editing and
5. Sales

Pick 1 or 2 skills, source for materials and disappear for the next 6 months

Babalakin:
I contacted a friend who is into workflow automation for mentorship, she directed me to an automation expert who taught her. When I inquired about the cost, she mentioned 500k for the training and lifetime access. Is it worth it?

I started learning the basics on YouTube today.

99thEnemy:
Nope.

AI will only automate parts of data analysis, not eradicate data analysis or data science.

AI cannot define the right questions, understand real business or social context, decide what data truly matters, or reliably detect flawed assumptions, bias, and misleading correlations. It also cannot translate insights into accountable real-world decisions or exercise ethical judgment.

AI will only replace routine data cleaning, basic descriptive statistics, simple dashboards, repetitive database queries, and standard reporting tasks ( tell if it is important, misleading, or something to take action on without human feedback).

Babalakin:
I contacted a friend who is into workflow automation for mentorship, she directed me to an automation expert who taught her. When I inquired about the cost, she mentioned 500k for the training and lifetime access. Is it worth it?

I started learning the basics on YouTube today.

MikeyOz:
The fact that you already started on YouTube is good
That price alone doesn’t tell you if it’s worth it and lifetime access matters only if the content is updated and there’s active support or a strong community

Workflow automation is one of those skills where the fundamentals are free and the real value is in applying them to actual problems

Heres my advice to you: learn the basics for a few weeks, build small automations, join community of like minds on discord & X, see where you get stuck.

If you hit a clear ceiling where structured mentorship would save you months then paying makes sense. Until then, spending that much upfront is a risk not an investment.

Mrluv:
that is what i am planing to learn now workflow automation and youtube automation i dont know how profitable it would be but 500k is much

MikeyOz:
This is mostly true but overstated in a few places

Firstly, "AI will only automate parts of data analysis, not eradicate data analysis or data science”

True, what will change is the shape of the job, not its existence

But...
AI can define the right questions
AI already helps propose questions when given context

AI can understand real business or social context, AI can and will understand represented context and can decide what data truly matters as well as reliably detect flawed assumptions, bias and misleading correlations

In a few years from now, AI will increasingly perform most mechanical and analytical tasks in data work

But that's not eradication, that's compression and elevation

Demetrix:
Thank you!
Since 2023 but actively (2024)

Mcslize:
That's interesting. Be more active this 2026.

One thing I will recommend you to focus on aside your strategy is your psychology. Psychology consists of your emotions, fear, greed, patience, risk management and trade management.

A trader can have an edge in the market, but to wait for his setup before taking a trade can be a serious problem.

To combat this problem, I advise traders to stick to trading only the New York session because most of the manipulations happen during the first 2 hours of the New York session and that's when the best setups also show up due to the high momentum caused by the overlapping of both London and New York sessions.

I discovered this the hard way and nobody ever told me this as I learned this the hard way. It's a secret the market will teach every trader.

I have come to realise that less is more and more is less. Also, I had learned that quality always supersede quantity.

I believe you don't trade all the sessions. Which session do you mostly trade.

Demetrix:
Thank you! Psychology is a major factor when it comes to success in trading. I don't trade currency pairs bro,only synthetic indices.

Mcslize:
I see. That's good then.

TheFreshVanilla:
There is no such thing as youtube automation. The phrase is mostly used by people selling courses who promise easy results. The word automation tricks people into thinking the process is simple. The work does not disappear. You still have to come up with ideas, research topics, write scripts, edit videos, and push for visibility. So what exactly is automated?

99thEnemy:
You have a valid point.

But I think this may only hold for unchanging data, which is rarely the case in business, because, events, seasons, economy, and even Gen-Z behavior among other external factors constantly shift meaning.

AI is not perfect because hallucinations have been a big problem, so letting AI be autonomous is very risky, especially when making business decisions.

You may think of RAG as a solution, but there is no one size fits all for every kind of data, especially with different use cases.

The issue of dynamic data makes this even harder, particularly in data streaming, where context and concepts can shift, models start drifting, and assumptions break in the analysis.

Even self-training models do not fully solve this, which reinforces the point that a human must still be in the middle.

Miramonica:
it's not entirely true bro. Besides nothing good comes so easily. Consistency is the key.

Knowing how to write good and quality proposals is the key to landing jobs.

epainos:
Trading is simple building our analytical mind. Seeing patterns and using them well. It's exactly what data scientists does. It's how uccessful marketing, sales, election campaigns are achieved today.

Trading goes beyond forex, and frorex can be a good start. There are so many instruments one can trade but the basic is the same. Risk management and knowing instruments to avoid is another key. US citizens are discouraged from trading forex, unless they are into proprietary trading. The whole world economy is trading...thisnis wall streets.

People who tell you to never trade forex that it's a scam buy shares from the stock market. Lol. And they don't know they are doing exactly the same. Trading skills does not mean one becomes a day trader, one can use the skill to even pick companies one can buy the stocks and become a board member.

You don't trade just currency, you can trade commodities. And I smile when Nigerian importers and exporters don't cover some of their risks with trading.

Trading is an evergreen skill universities aren't encouraged to teach. You teach such and every knows how to pluck money, how billionaires go still exist? E no possible...na everyone wonder hustle na.

everythingtall3:
I'm a senior software engineer and cloud expert

99thEnemy:
It is something like looking at information which is normally a dataset, cleaning it up, and finding patterns or answers that help people make better decisions.

Just google or use ChatGPT for better understanding.

Fab21:
From the little knowledge I've acquired while learning, I can say that there's no organization that doesn't needs a Data analyst or Data scientist as the case may be.



Data analysis is simply using information (numbers, records, data) to understand what is happening and make better decisions.


You'll need these skills to do data analysis:


Excel: to record, clean and calculate data. Excel is more broader than what most people think. I got to know this when I started learning it.

SQL: to ask questions from large databases (big Excel) if you're working with large data , you'll need SQL skill.


Tableau / Power BI: to turn numbers into charts and dashboards. Tableau and Power BI are meant for visual representation of your findings.



Data science is a more advanced version of data analysis While data analysis explains what happened data science tries to predict what will happen next.

For Data science uses, you'll need to learn Python, Machine learning, Advanced statistics.


It's actually a long journey.
You can start learning Excel(Data analysis with Excel), then move to Tableau, SQL...

MikeyOz:
I mostly agree with this

Dynamic data is exactly where the limits show up first. Concept drift and changing incentives break static assumptions fast and AI still struggles to notice when its own confidence is no longer justified

RAG and self training help, but they don’t remove the need for human judgment. They only reduce friction not responsibility

The real risk isn’t Ai making suggestions, it’s letting it operate without a human who understands when the ground has shifted to.

Fab21:
I started Data analysis last year.
In the course of learning, 💻 crashed.
Power supply failed.

Nevertheless, I'm still trying to use a mini laptop to learn. But the journey isn't easy.

gentlegenius:
Sorry about that... But is there any possibility of using smartphone to learn this data analysis?

Bassmetrics:
Whatever skill you learn, make sure you earn in hard currency in 2026 no matter how little.
"Online Survey" is one good way!

It's so easy to learn & quick to master. It's just like answering questionnaire for companies & getting paid for it. It's something anyone can do. Google search to understand better.
I teach too, but it's not free