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CareerRe: Is Data Analytics A Promising Career Path? by ajoke1824(op): 7:37pm On Aug 16, 2021
Anagkazor:
You have sense ooo
See,what many persons don't know is that DATA SCIENCE is a very large umbrella where the future lies.

With BIG DATA using SCALA you can earn at least 4milli naira a month,yes you saw that right...Brush up your excel skills.

Join a group on telegram. NIGERIAN EXCEL USERS

and you will meet Data Analyst gurus that are ready to help you grow.

Remote jobs are taking over,and BIG DATA is the oil well now.

I have a friend who is a Software Developer using Python and Django,he works from home and earns 800k per month.

Give yourself 3months,get videos on YouTube by Michael Olafusi, Victor Momoh,Eureka, Udemy...forget any thing that will distract you and you will be glad you did.

If you are not in TECH,you will soon wreck.
Hello. Thanks for your contribution.

I couldn't find the Nigerian Excel user group on telegram. I guess it has switched to private mode. Any idea how I can get access?
CareerRe: Is Data Analytics A Promising Career Path? by ajoke1824(op): 7:22am On Aug 16, 2021
1forall:
At 21 you should be thinking about your career and making plans towards your future so you appear to be on the right path. Though I know there's more to you than can be written in those few paragraphs up there, I got the feeling you're still undecided and impressionable, and though you've made poor sentimental decisions prior to now, it's not too late yet.

So if you've identified your passions for writing, hair styling and selling what are you doing thinking about data analytics?

I advise people like you who see themselves as entrepreneurs and business oriented; that experience in the corporate environment is necessary to equip you with the hard and soft skills you will need when you eventually decide to venture out on your own, so on that basis will recommend that you get a job in a structured work environment to start with. If you're looking at data science, are you comfortable with statistics, technical & logical thinking, computer applications (math & stat, programming, databases and presentation) and IT in general? Do you want to learn and grow in those fields? If yes, then that's great but if no, what other field do you fancy? You need to find that out.

Final advice: Focus on those areas of strength already identified (writing etc.) and continue to develop the required skills and experience for making a living from them now and in the future, while also planning for and plotting a career path in the corporate world, data science or not. That way, even when you get employed you'll always have something to do "on the side" which helps you build a personal focus outside of your employment. Such a plan stands to make you gain valuable corporate discipline & experience, expand your knowledge base and polish your CV until you feel prepared (mentally & financially) and confident enough to start something of your own. Finally, give yourself realistic timelines to achieve these things so you don't heap too much pressure on yourself.
Thanks very much. This advice is so appreciated.

God bless you
CareerRe: Is Data Analytics A Promising Career Path? by ajoke1824(op): 11:49am On Aug 15, 2021
No response?? cry
CareerIs Data Analytics A Promising Career Path? by ajoke1824(op): 10:46pm On Aug 14, 2021
I sincerely hope this hits frontpage as I need as many sensible responses as possible.

This is going to be a really long one.

I'm a 21 year old penultimate student of one of Nigeria's federal universities.

I'm one of those, I can never work under a boss. I'd rather have my own business people. However, this choice took a different turn the relationship I thought was going to lead me through the isle ended in the mud. I eventually figured out that my decision to own my own business and not get a job were influenced by three things:

1. My life was wrapped around the guy I was in a relationship with. I didn't really have a life of my own. My ambition when I was with him was mostly to start a business, finish my first degree, and be a sit-at-home mum and wife. I kicked against getting a second degree and even rejected two sponsorships to relocate to Canada because I wanted to be with my man (my mumu no get part two that time).

2. I saw how badly my mom was treated at her place of work by her boss(es). I'd usually get angry and eventually vowed never to get a job.

3. I considered myself someone who's not brilliant and smart enough for the cooperate world. (Low self-esteem).

The nonsense relationship ended in a terrible way but I eventually picked up myself and moved on. Now, I'm beginning to love the cooperate world but choosing a career path has become a headache. I've been totally confused. Some of my classmates are taking ICAN and ACCA. Some are also taking CFA courses (I'm studying economics) but I have no interest in CFA, ICAN or ACCA.

I spoke with a friend of mine and he advised me to consider data analysis but I have my doubts and fears. So many questions have been ringing in my head.

How do I choose a career path that I don't eventually get frustrated with at the end of the day?

How promising is Data analysis as a career path?

What's the average pay in this field.

I'd really love to thread a path where I have even the slightest spark of passion but I can't seem to connect my passion with data analysis.

Is passion important in choosing a career path?

It feels like I've been wasting my life all these years on a man so much that the only passions I have are:

1. Writing (I earned a few naira notes during the lockdown from this)
2. Hair styling (I fantasize about this and even beg people to let me make their hair)
3. Selling (I really love to sell)

What else? Nothing.

If I'm going to be sincere and truthful to myself, those three things are the only things that truly make sense to me when it comes to earning but I feel I should do more and spend some time in the cooperate world.

Wait, tell me y'all understand what I wrote up there because my mind is all over the place right now and I don't know what to think anymore.

Thank you in advance.

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