₦airaland Forum

Ali12345:
Hello everyone am in 300l in the university of Lagos (unilag) studying medical social work pls am looking for any program that I can do in us pls what school can I apply for I need your advice thank you all

LagosismyHome:
Started calling himself names you mean ........

As for you, you are beautifully made.

And so are the rest of the Nairaland family That all

zizie:
Any Boston University MBA admits here?

Abigalbee98:
Anyone who can link me to this thread"Nigerian in USA:how did you survive "

Olalekank:
What course and faculty is this?

Predstan:
Search directly on Google. It will bring it out. Hope this helps

zizie:
Any Boston University MBA admits here?

Ali12345:
Hello guys in the room pls I need your reply

Abigalbee98:
.

Davidkking:
Guys please what are the chances of me getting an f1 visa on a students loan?

Davidkking:
Someone should reply abeg nah?

Davidkking:
Someone should reply abeg nah?

Ali12345:
I need to apply for visa what is my first step to take pls am no 300l now

Ali12345:
I need to apply for visa what is my first step to take pls am no 300l now

Ali12345:
I need to apply for visa what is my first step to take pls am no 300l now

izeekss:
Thanks for the head up. It was postponed. It will be holding today.

bracelum:
Just to add to my previous comment... This will also be valuable to anyone considering a master's or career in Data Science

If you're choosing Data Science because The Harvard Business Review calls it "The Sexiest Job of the 21st Century", or because everyone says it is a hot job, you have to think deeply before getting into it. Here are 3 realities about the industry a lot of folks won't tell you.

1. If you don't like statistics, Data Science is not for you
To survive the industry, you must love statistics. And when I say statistics, I mean deep-level statistics. Data Science is deep-level statistics + some level of programming. Hence, your success in the industry depends on how much you love developing statistical models.

If you struggled with statistics courses in your undergrad, you might struggle in Data Science. Learning Python online does not make one a Data Scientist. It is your ability to develop a customer acquisition statistical model from scratch or your ability to develop a model for A/B testing from scratch that makes you proficient in Data Science.

So, before choosing to do a master's in DS, test your statistics knowledge thoroughly. If you can't cope with conditional probabilities, Markov Chains, Inverse Mills Ratio, logit model, probit models and other complex statistical models, you might want to rethink your data science dream.

2. Get Data Science Work Experience before getting your masters in the US
The job market for DS is hot, but what a lot of folks don't tell you is that there are >300 applicants to every Data Scientist job posting in the US. Everybody wants to become a Data Scientist and so the competition is very very tough. There is an oversupply of newly minted MS graduates for these positions and a lot of them do not have prior work experience. Aside from the brand name of your university and your network, what stands you out from the crowd is your work experience.

Also, a lot of Software Engineers are moving to DS cos it pays more. And those folks already have the programming skills + some experience working with Data Scientists in their jobs. A lot of quantitative academicians and postdocs (economics, statistics, engineering) are moving to DS cos it pays more than their $40K postdoc salaries. A lot of these folks already have research experience using most machine learning models and they don't mind taking entry-level roles in DS. A lot of Engineers have suddenly realized that DS is the bomb and are all attending bootcamps to boost their skills to make a switch to DS. Also, a lot of graduate students who after resuming their first semester realized that their degrees are not lucrative and are now switching to DS.

Now, these group of people makes up the >300 applicants per position in DS. To stand out, it is best you have prior work experience before coming to the US especially when you're not attending a top school where alums (that are hiring managers) can easily hire you and place you in their teams.

3. Domain Knowledge is Very Important
Data Science is everywhere. It is in tech, healthcare, logisitics, supply chain, engineering etc. It will be best to start in the industry where you have strong domain knowledge. If your undergrad is in biochem, it might be best to start as a Data Scientist in a biotech firm where you can flex your domain knowledge and learn the ropes of DS. After a while, you can then branch out to other industries like tech or marketing. Same applies to every field. Also, it might be easier getting your first job in your domain before branching out to other industries.


In summary, make sure you are very very comfortable in statistics, make sure you have prior work experience and make sure you are entering an industry you are comfortable with. These will go a long way to determine your success in the DS industry as a fresher.

fairheart:
Finish your first degree first! This thread is always here. When it is time, come on and get all the information.

JoeBazz:
Bro good morning
Please how was your video interview with the program director?

Olalekank:
As someone said
I'd advise you finish first.

I discovered the thread in 300 level also and now in 500 gunning for the fall 2020 cycle. Others too waited to actually finish before actually making a move for further studies.
Or are you looking to start undergrad again?

BTW, we're in the same school and can meet up sometime.

Abigalbee98:
Eku le Dede o


Aku Dede Iwo yi


Aku ibo na