i'm currently a civil engr undergraduate in my finals. i'm currently undergoing a training in data sci on edx. but with ur review .. i kinda ask myself can i combine this two career path and be succesful.. i'm nt that much of a maths guy but does data sci need one to av a degree in the career paths u mentioned above?.. wht can u advice me on...

FunnyDude:


Yes Just have the skill. Good to go.

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preciousnobel:

Wow! Happy to know that. Could you expatiate on what the pay is like there, and the job description?

Well I would say it depends on the company you work for, I work with a Nigerian bank IT department specifically. And I didn’t apply to be a data scientist/analyst I was just lucky to be posted to a department that requires data science basic knowledge. So I had to start learning on the job and also on my own. I can’t say much about the pay cos I receive the same pay with other colleagues in the other department depending on the level. But I’m aspiring to be a freelancer in the field real soon, I don’t intend to be confined in just one place.

how can my 24hrs uninterrupted power be useful in this career or field

divineappo:
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Chimez93:
Thanks Op.
This is indeed a masterpiece.A vast majority of our youths need to be guided properly when making career choices. Data Science /Analysis is of high demand both locally and internationally, if only one can patiently and consisitenly master the skill.

STATISTICS is my course, FACTS FROM FIGURES is the motto.

Another Motto/quote

: "There are three kinds of lies: lies, damned lies, and statistics."

I've gone through google and many institutes that are near me but I didn't find a right place at starting and while going on I've found one training Company https://www.excelr.com/data-science-course-training-in-bangalore/

Thanks for a very useful information in your post. I honestly think that all statements are way to general and don't provide a precise information for a person who wants to build a career in this sphere.
First of all, it all starts from understanding and testing of your potential chances. SQL is the second largest and popular programming language in the industry.

It is also important to understand that there are different branches and subdivision of the language itself.
In my opinion it is also important to understand and determine your future profession. Here are some popular variants:

Product/Program Managers. People who hold these positions always work with big volumes of information. To understand the company’s data model and control the workflow, this information should be analyzed and structured. SQL is the best tool to do this.
Data Analysts. The word “data” in this job title speaks for itself – it is hardly possible to “speak” with relational databases without knowing their language.
Data Scientists. These are masters in data collection, analysis, and management. Do they need SQL skills? Definitely yes.
Marketers. To keep in touch with the market needs, you should possess various data. It’s not a good option to request information from programmers and wait for ages to get it. Basic SQL skills will make this process much easier.

There is even more useful information which I found on http://blog.qatestlab.com/2019/02/26/basics-sql-non-programmers/. The reason why I love this article - it shows real life examples and requirement for a particular sphere os work. It will be extremely useful to read for every beginner!

soap94:
Thanks for a very useful information in your post. I honestly think that all statements are way to general and don't provide a precise information for a person who wants to build a career in this sphere.
First of all, it all starts from understanding and testing of your potential chances. SQL is the second largest and popular programming language in the industry.

It is also important to understand that there are different branches and subdivision of the language itself.
In my opinion it is also important to understand and determine your future profession. Here are some popular variants:

Product/Program Managers. People who hold these positions always work with big volumes of information. To understand the company’s data model and control the workflow, this information should be analyzed and structured. SQL is the best tool to do this.
Data Analysts. The word “data” in this job title speaks for itself – it is hardly possible to “speak” with relational databases without knowing their language.
Data Scientists. These are masters in data collection, analysis, and management. Do they need SQL skills? Definitely yes.
Marketers. To keep in touch with the market needs, you should possess various data. It’s not a good option to request information from programmers and wait for ages to get it. Basic SQL skills will make this process much easier.

There is even more useful information which I found on http://blog.qatestlab.com/2019/02/26/basics-sql-non-programmers/. The reason why I love this article - it shows real life examples and requirement for a particular sphere os work. It will be extremely useful to read for every beginner!

SQL isn't a programming language

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OreoPaschal:
This has been a career path I always admire. I have googled things about it online and possibly the nearest tutorial centre in Lagos but nothing meaningful pooped up.


Thanks OP for sharing this wonderful piece. I just need a mentor that will guide me properly.

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oluswaggz:
Data science is the next big thing honestly.
I am glad I’m on the path already this post just encouraged me the more. Thanks Op

bro, am also an aspiring data scientist. Pls what are the steps to take to become one? I know you have to get a degree in computer science or statistics but after that, what? Where are we going to study and get certified for data science? Pls reply. Thanks

coolhamid:
If you want to be successful as a data scientist, please learn statistics to the fullest and not just learning basics of statistics. Go deep in statistics because statistics is the backbone of data science.
Oftentimes, people approach me that they want to be a data scientist but don't have flare for mathematics or statistics. Its damn not possible. Once you are theoretically grounded in statistics, then you can pick R or Python for the computational part.

bro, am also an aspiring data scientist. Pls what are the steps to take to become one? I know you have to get a degree in computer science or statistics but after that, what? Where are we going to study and get certified for data science? Pls reply. Thanks

shiffynaani:
bro, am also an aspiring data scientist. Pls what are the steps to take to become one? I know you have to get a degree in computer science or statistics but after that, what? Where are we going to study and get certified for data science? Pls reply. Thanks

Boss have u started learning this data science