zeestone99:


Can u share your link....github

Infomartdev:
If you're a software developer with 2+ years of experience and are interested in working at well-paying and leading tech start-ups in the Nordics, please send your CV to kolawole@ambitiousafrica.org. All you need to do is pass one of these tests (emphasis on React.js, Vue.js & Node.js). Once you've passed the smart test, you will qualify for the role (+ all our other react.js/node.js and vue.js roles).


Is this offer still available?
These positions are all full-time remote and long-term career-oriented positions with Nordic benefits (paid holiday and parental leave).

EarlOfSaxon:


I would love too but with the information I have provided I can't so sorry. My GitHub profile contains my identity.

zeestone99:


Can we chat 08117398294
zeestone99@gmail.com

Desammyst:
am a self-taught Data Analyst currently in need of a remote job. I am conversant with Webscrapping, Data analysis using Excel SQL, Python pandas, also with Data visualization using Python, Excel Pivot table, Tableau, PowerBi. Please I am in need of remote job in this field and also a mentor. Thank you.

demanuel:

Please how can I get started to learn this? What learning resources did you use?

Lindner:


I got my first job within the first 4 months of learning. $10/hour. Do not despise the days of small beginnings.

I don't think I would do anything differently. I was mentored by experts.

airsaylongcome:


Good start. Look up Leetcode and if possible buy a premium account for him there make he dey learn. It will be the best investment in his life. Bear the cost of the premium o. Trust me you WILL NOT REGRET IT pls help at chrislaollu@gmail.com

I was around his age when I started learning coding. If you get enough Data to download videos I can share some MIT materials that he should can also use. We are talking really huge files o. 6GB, 8GB.

IbroMaka:
Anyone here mastered JavaScript and Nodejs...pls let me worship you

FanOfMyself:

Yeah, I am a full stack developer but I focused on frontend (VueJs and Reactjs) when I realised this because I have always hoped to get a remote job and earn in dollars. Right now I am expecting positive results from three different companies in USA, Colombia, and Poland.
I have already passed their assessment tests (I was asked to build a mini app) and waiting for the final interview. I hope I will be favoured.

Raxxye:
Lovely thread;
Motivating me!

Pls what do you guys think about Data Science in terms of:
-the chances of securing a job,
-the pay
-and future prospects.

I will appreciate inputs bc since I'm just about starting out and I'm contemplating between studying to become a developer or a data scientist.

Hannania:
If you're not thinking of doing a Masters or PHD, you'd never reap positively on the good side of tech with data science. It's not a quick path. One of the longest path fields in tech.

DS needs extensive research because new algorithms are created weekly, which is why the best brains are researchers.

What many Nigerians are going into, is Data Analysis. There's a stack difference with Data Science. With data analytics, you can skill up in six months, learning Excel, Power BI, SQL and other frameworks, and you're good to go.

It's worth it, if you know what to learn. Know the difference, and you're good to go.

Eaztzide:


This isn't entirely true. Yes, DS is research based most of the times but it doesn't mean you will be jumping from one tech to another in it like a JS programmer. Applying and using all the latest algos won't make you a good Data Scientist. It is about understanding the fundamentals.
Also, absence of a Msc or Phd won't stop you from making it in DS

fortz007:
Please i intend starting my journey in the tech industry. I need suggestions amongst these three stacks and which is most sorted out for

• Java
• Node.js
• .Net

Hannania:
If you're not thinking of doing a Masters or PHD, you'd never reap positively on the good side of tech with data science. It's not a quick path. One of the longest path fields in tech.

DS needs extensive research because new algorithms are created weekly, which is why the best brains are researchers.

What many Nigerians are going into, is Data Analysis. There's a stack difference with Data Science. With data analytics, you can skill up in six months, learning Excell, Power BI, SQL and other frameworks, and you're good to go.

It's worth it, if you know what to learn. Know the difference, and you're good to go.

Raxxye:

Thanks a whole lot.
I thought data science and data analytics were mere synonyms. Lol.
Poor me, I didn't know there's such a huge difference.
With this clarification, it's Data Analytics I was referring to in my question. Masters and PhD in Data Science ke!

Hannania:
As I said, it's one of the longest path in tech. Yes you might not need an advanced degree, but you need extensive years of experience. It's an experimental field. DSA is fixed, because our algorithms have not changed. But in data science, it will always change and there's a lot to take it.

The bottom line- it's not a "quick" path tech field. And as I said, all the big boys in this field have advanced degrees.

Eaztzide:

Well, the enormosity of DS is because it touches almost all the fields in Data- DA, Cleaning, Mining, Engineering & Visualization, ML, and so on.
On the degree matter, I'll say something: an advanced degree majorly gives one a technical knowledge advantage. I've seen top people in the DS field who although possess either Masters and/or PhD, but have it in a non-CS field. The top Kaggler in the world as of last year had a PhD in Astrophysics. This means the degree gave them the ability to easily understand the field even though it isn't a related one.

Hannania:
Data Science as a domain is an infant college major. Only few universities globally have it as a major.

Most delve into it from CS, Engineering and Sciences. Even in Kaggle, you'd notice that science based holders are the leaders.

There's virtually no university with DS degree status up to five years old. Most are specializations in Communications engineering (Neural networks), CS, or mathematics

Eaztzide:

Interestingly, I like how you're still heading to my point- they didn't need a (CS) advanced degree to achieve those exploits in DS. They just had technical knowledge from their various studies.
Also, there are other existing related courses to DS like Econs, Stat and Maths. If they didn't further in these but in other non-science courses instead and still made it, that means a degree isn't a must.

On a lighter note, did you classify neural networks as communications engineering?

Eaztzide:

Interestingly, I like how you're still heading to my point- they didn't need a (CS) advanced degree to achieve those exploits in DS. They just had technical knowledge from their various studies.
Also, there are other existing related courses to DS like Econs, Stat and Maths. If they didn't further in these but in other non-science courses instead and still made it, that means a degree isn't a must.

On a lighter note, did you actually classify neural network as communications engineering?

Lastbornbuns:

To go far in Data Science, you need an advanced degree (Masters or PhD). Interestingly, all the Meta DS roles I've seen so far for the UK ask for a PhD in econ/stat/math etc. Most others ask for at least a Masters.
DS is extremely Stat-heavy. In my opinion, it is far better to do a masters in Statistics than in DS because I've noticed most DS Masters are still new and don't really have great math or stat component. They'll just teach you python/SQL/ML which you could learn on your own.
Beside DS is not really an entry level role; that's DA. Most DS have like 2/3 YOE in DA or something related or an advanced degree.

Hannania:
Firstly, I didn't say they needed a CS advanced degree, but I said they need an advanced degree that should be focused on DS specialization.

Secondly, yes, Neural Networks are an embedded specialization of communication engineering

Eaztzide:


On the second aspect, I'll avoid talking on it due to some technicalities on that topic.

I'm pro-degree by the way. So, I'm in support of getting a degree to advance in tech.
But it was nice having this conversation and sharing our varying views on tech fields.

Lastbornbuns:

To go far in Data Science, you need an advanced degree (Masters or PhD). Interestingly, all the Meta DS roles I've seen so far for the UK ask for a PhD in econ/stat/math etc. Most others ask for at least a Masters.
DS is extremely Stat-heavy. In my opinion, it is far better to do a masters in Statistics than in DS because I've noticed most DS Masters are still new and don't really have great math or stat component. They'll just teach you python/SQL/ML which you could learn on your own.
Beside DS is not really an entry level role; that's DA. Most DS have like 2/3 YOE in DA or something related or an advanced degree.

Babtunz:

You seem to be a pansophist, and I admire you for that.

Hannania:
I'm kinda interested on the "Technicalities"

Eaztzide:

Ok then.
The technicalities is that you can't entirely classify NNs as Comms Engineering. Reason is because NNs can be applied in it but it doesn't necessarily make it Comms Engineering. It's just like saying because a snake can swim in water, they should be classified as fish. Or in a more technical sense, just because OOP is used in Python, for example, means OOP is Python-only. Even Google search results will show mainly show NNs applications and not its classification in CE. Besides, whenever NN is mentioned, what comes to memory is deep learning which is ML, an aspect of DS. I believe the birth of NNs didn't originate from comms engineering. These are the technicalities I'm talking about.