ARCHEMEDESME:
Hello guys I have a question .
I intend to do data science and machine learning but I'm interested in solving problems in medicine like building machine learning models that can interprete xray scans and all that stuff .
my question is do I still need to go ahead to learn all that data visualization stuff or should I focus on understanding the models and what are the irrelevant things I don't have to learn?

Chemistdavy:
What does the interview for a Front-End developer position look like?

tensazangetsu20:

Depends on the company. Some would test you on data structures and algorithms. Others would give you a take home test that involves bringing some kind of design to live.

Zabiboy:


Go to kaggle dot com or zindi dot africa
You'll see thousands of real world problems to solve
GL

Raalsalghul:


Can you please tell me the application of "Numpy" in real life?

Raalsalghul:


Can you please tell me the application of "Numpy" in real life?

Raalsalghul:


Can you please tell me the application of "Numpy" in real life?

Shepherdd:


Numpy is used for effective array manipulation in place of Python List. Neural networks are built on arrays or correctly giant Matrixes. An operation like dotproduct matmul on numpy is about 140 times faster than using ordinary Python List.
Basically it's a library for scientific computing.

Zabiboy:


No H.F man...
But the question is straight forward...
We're not here to compete...all this explanation would just make a novice think these things are hard....
Scientific computing is not a real life application....it's just like telling a non-programmer that a real life application of python is back-end programming...it wont make sense to him...Simply saying "Python is used to make a website functional" would be better...

That being said, you aren't the only one that has done this tho...i just felt i had to point it out..

Zabiboy:


Numpy alone can't be used to solve real life problems...
It has to be combined with other libraries

Note: I havent gone into ML or DL yet( i decided to go into web development after the core data science tools and softwares) so i dont know Numpy's use in ML/DL and if it can solve problems like the other guy said

GL

ibromodzi:


Saying Numpy alone can't be used to solve real life problems is very misleading. There's no harm in saying you don't know. And who told you Numpy has to be combined with other libraries before you can use it?

1) With naked Numpy, you can build your neural networks and ML algorithms (without using any other library)

2) With Numpy, you can do a lot image manipulations such as resizing,flipping trimming etc.. (without even using OpenCV)

3) Numpy is capable of being used for a number of financial calculations like interest,mortgage etc ... I can keep on mentioning the scenarios where Numpy is used. Except I don't get your definition of real life applications.

1) i clearly stated i havent gone into ML/DL....but i wonder why some of you guys think ML/DL is so special..Even the owner of this thread has repeatedly mentioned the core tools and softwares and ML/DL wasnt there...i'm not saying it's not important o but c'mon man, this is naija not Japan...
2) ....forget all these long talk bro....No company will give you a project that would involve ONLY Numpy( again...i dont know of your ML/DL...i'm talking of DS/DA)
3) so after calculating, you wont arrange the data in properly using Pandas?? Or you wont use matplotlib or seaborn to show relationships??...

Anyways, i wont talk on this issue again...
Las Las, we go dey alright..
GoodLuck

Zabiboy:


1) [b]i clearly stated i havent gone into ML/DL....but i wonder why some of you guys think ML/DL is so special..[/b]Even the owner of this thread has repeatedly mentioned the core tools and softwares and ML/DL wasnt there...i'm not saying it's not important o but c'mon man, this is naija not Japan...
2) ....[b]forget all these long talk bro....No company will give you a project that would involve ONLY Numpy( again...i dont know of your ML/DL...i'm talking of DS/DA)
[/b]3) so after calculating, you wont arrange the data in properly using Pandas?? Or you wont use matplotlib or seaborn to show relationships??...

Anyways, i wont talk on this issue again...
Las Las, we go dey alright..
GoodLuck

ibromodzi:

Wow! Someone here thinks data only revolves around analytics. Do you know what it takes to be a data scientist? You won't know what's special about ML/DL untill automation starts penetrating every sector of IT (you can educate yourself on this by reading about openAI and GPT3)

Well, different people with different orientation and perspectives.

The only issue I have with your assertions is you talking about what you don't know.

You can't talk about DS without mentioning ML/DL. Even ML is a level of statistical analysis (predictive analytics).

And you must know that no company will give you a data science role/project without a good knowledge of ML/DL. The earlier you know this, the better for you.

DS is more than using tools. Anyone can learn to use any software, no matter how sophisticated you may think it is. What differentiates a data scientist from any other person is their foundational knowledge of all these concepts.

Sylverkachi:
COLUMN A. COLUMN B

Nigeria. Togo
Ghana. Senegal
Cameroon. Nigeria
Senegal. Zambia
Togo. Ghana

How do I count the numbers of occurrences in the countries above in order to achieve the results below using TABLEAU.

Nigeria 2
Ghana 2
Cameroon 1
Senegal 2
Togo 2
Zambia 1

Please I need help from my Tableau gurus in the house.

Marveaux:

Kind sir,please do you know any books I can read to have a good theoretical knowledge of ML/DL?Not books about Data science as related to ML/DL(i.e python libraries),but more of the concepts of ML/DL as a whole.
Thanks.

Marveaux:

Kind sir,please do you know any books I can read to have a good theoretical knowledge of ML/DL?Not books about Data science as related to ML/DL(i.e python libraries),but more of the concepts of ML/DL as a whole.
Thanks.

Oddy16:


I will suggest to immerse yourself in fundamental statistics, linear algebra and if possible, a little bit of Calculus(Chain rule)

Udacity has a lot of free courses on intro to statistics, ML and DL. Although you can't get a certificate, but learning it is the important part. If you can brave it, try Andrew Ng's Machine Learning course on Coursera, that's the gold standard. You can audit the course for free. You will learn all the math and stat behind ML but I will advise you have a good foundation before you try that course. Another deal breaker is that he teaches the course with MATLAB/Octave, but not to worry, if you can grasp that, you can implement it using Numpy. The course will teach you how to build ML from scratch and not just to import modules.

You can also Calculus course on Coursera by UPenn. You can audit for free.

Do not let the math and stat scare you anyway. The beginning is the hardest. You can do so much on ML if you can grasp how to build it from scratch.

N.B: Please DO NOT believe that it doesn't make sense learning ML because you are in Nigeria.

Oddy16:


I will suggest to immerse yourself in fundamental statistics, linear algebra and if possible, a little bit of Calculus(Chain rule)

Udacity has a lot of free courses on intro to statistics, ML and DL. Although you can't get a certificate, but learning it is the important part. If you can brave it, try Andrew Ng's Machine Learning course on Coursera, that's the gold standard. You can audit the course for free. You will learn all the math and stat behind ML but I will advise you have a good foundation before you try that course. Another deal breaker is that he teaches the course with MATLAB/Octave, but not to worry, if you can grasp that, you can implement it using Numpy. The course will teach you how to build ML from scratch and not just to import modules.

You can also Calculus course on Coursera by UPenn. You can audit for free.

Do not let the math and stat scare you anyway. The beginning is the hardest. You can do so much on ML if you can grasp how to build it from scratch.

N.B: Please DO NOT believe that it doesn't make sense learning ML because you are in Nigeria.

wisemania:


We need to be careful when dishing advice.

We get it! You are a bookworm, you can't help it, we understand, but be careful with your advice. Ejiod already explained the process of becoming a data scientist.

How?
By FIRST becoming a data analyst. You do not need to understand the intricacies of advanced statistics (or ML) to become a data analyst. What you need is

1. basic mathematics (statistics),

2. basic intuition of how ML algos work(they've been written in packages already for your usage). Kiril eremenko did a great job on that on udemy. Just get the course for free and learn the intuition with how and when to use it.

3. Excel,PowerBI(because it's cheaper for companies to integrate as most companies rely on Microsoft products and it's simply advanced excel) and or Tableau (or any other visualization tools). Tableau is a bit expensive though

4. SQL (T-Sql/MySQL/P-SQL) they are all 90% the same. Learn MySQL and the rest will become a breeze!

5. A programming language (Python/R/Julia, etc). You don't need to know all the functions of the language, just learn the basics and the necessary libraries for now (trust me, there'll be plenty of time to dive deeper into these languages later!)

After you're pretty solid on the above, start applying for jobs (junior data analyst or Business Intelligence Analyst).

Or if you want a higher pay,
Immerse yourself in MSSQL (Data warehouse tools)
I.e
Learn


T-SQL (Microsoft customized SQL)

SSRS (pretty deprecated, but many companies still use it for reporting. To be frank, modern visuals like PBI, Tableau are taking over.dont spend too much of your time here)

SSIS -makes your life easier, as it reduces the amount of dml you need write. It's very easy.

SSAS - same.


Spend your time learning the above and you'll begin to earn a lot.

Because if you spend your time going though the Forever learning path, you're gonna be a jack of all trades yet a master of none.

If you need to feed, get a job with excel,powerBI/tableau,SQL,Python/R
then learn the remain (Statistics, ML-DL) on the job as required.

Else, you go HUNGRY


This is barely my 3rd month into data analysis and I've gotten some interviews already... No time to waste, as you need to survive...

My 2cents

wisemania:


We need to be careful when dishing advice.

We get it! You are a bookworm, you can't help it, we understand, but be careful with your advice. Ejiod already explained the process of becoming a data scientist.

How?
By FIRST becoming a data analyst. You do not need to understand the intricacies of advanced statistics (or ML) to become a data analyst. What you need is

1. basic mathematics (statistics),

2. basic intuition of how ML algos work(they've been written in packages already for your usage). Kiril eremenko did a great job on that on udemy. Just get the course for free and learn the intuition with how and when to use it.

3. Excel,PowerBI(because it's cheaper for companies to integrate as most companies rely on Microsoft products and it's simply advanced excel) and or Tableau (or any other visualization tools). Tableau is a bit expensive though

4. SQL (T-Sql/MySQL/P-SQL) they are all 90% the same. Learn MySQL and the rest will become a breeze!

5. A programming language (Python/R/Julia, etc). You don't need to know all the functions of the language, just learn the basics and the necessary libraries for now (trust me, there'll be plenty of time to dive deeper into these languages later!)

After you're pretty solid on the above, start applying for jobs (junior data analyst or Business Intelligence Analyst).



If you need to feed, get a job with excel,powerBI/tableau,SQL,Python/R
then learn the remain (Statistics, ML-DL) on the job as required.

Else, you go HUNGRY


This is barely my [b]3rd month into data analysis and I've gotten some interviews already... No time to waste, as you need to survive...
[/b]

BelieverDE:


At the emboldened,

Are there remote jobs for Data Analysts like there are for software engineers?

Software engineers are eating the cake

Although I'm still learning but when I was searching for remote for Data analysts, most of them require people in their respective countries, such as USA, France, etc

Could you please share your insights on how to get a remote job from Nigeria?

BelieverDE:


At the emboldened,

Are there remote jobs for Data Analysts like there are for software engineers?

Software engineers are eating the cake

Although I'm still learning but when I was searching for remote for Data analysts, most of them require people in their respective countries, such as USA, France, etc

Could you please share your insights on how to get a remote job from Nigeria?

tensazangetsu20:



Well software engineering jobs are more but this week in Nigeria they were more data analyst jobs than software engineering jobs. WHO is presently looking for a data analyst. Konga is looking for one. Two banks are looking for data analyst. Alongside two foreign firms can't remember the names.

Treat job requirements like a wishlist. If they say they want someone in the USA. Apply. The highest you will get is a rejection email. Most times those things are put there because they want someone who can work in the same timezone as them so no fear. Highest na no. But apply for every shit there even the impossible.

Ten years experience needed apply.
Machine learning and some big technologies needed apply.

Apply apply apply. Let them reject you. Don't reject yourself.

Karleb:


Oil dey your head!

tensazangetsu20:

Bros na wetin I do o. Started teaching myself in February. I applied to every shit. Just started job hunting two weeks ago and got my first offer today. My own na web development sha.

tensazangetsu20:

Just started job hunting two weeks ago and got my first offer today. My own na web development sha.