bunnae:

I'm an aspiring data scientist. Please I would love to read more from you.

Ejiod:
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iCode2:
You're here already.

Grandlord, have you seen this thread?

Ejiod:
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sparkle7:

Hello sir, I am an ardent follower of your thread and truly, you interest me. But there are a couple of questions that I would love you to answer pertaining to your field data science.
1. How many months did it take you to have a basic knowledge of python data science?
4 months of day and night studying. After 4 months of getting the basics. I got through krill emerenko Machine learning A to Z and before 2 months I'm done. I also watched python for data science bootcamp from Jose
2. What modules are you using for your data analysis? Pandas and what?
There are lots of modules for analysis. Pandas mostly is for explorative or descriptive analysis. We have statsmodel api for statistical analysis. There's numpy,scipy. So many libraries that I can't start mentioning
3. How did you get your first job as a data scientist?
please follow my story line. My first was through ng.Indeed.com
4. Do you think that Nigeria is harnessing the knowledge of data science properly?
Quite not sure. Data science is still pretty young in Nigeria, however such role get chucked to data analysis
5. What connection does data science has with machine learning?
As you dive deep into data science,its then you understand that both machine learning and deep learning are integral to data science. Both are predictive analysis/modeling which data science is for
6. Also what advise do you have for a python developer who might in future venture into data science?
Venturing into data science from django or flask is a breezeway. Just knowing the concepts of data is the key plus passion . Most importantly know your EXCEL well.
7. Which do you think is gaining more traction now? Python Web development or python data science?.
Data science ofcourse. Javascript has conquered web development. Reason why python is a top programming language us because of its deep application in data science
I am looking forward to an in depth explanation of the above questions. Thanks for your input.

Grandlord:
OP please what python frameworks did you master to attain job levels?

Ejiod:

Data science we speak libraries not framework(As in web development with django ur flask)... For data science there are many libraries. Mostly I use pandas,researchpy,plotly,scipy and statsmodel.
For predictive. That's much

simmieyoung:
Hello sir, I'm an R user. I currently have a number projects I worked on from statistical analysis, NLP to machine learning. Perhaps you have connects looking for interns or junior data analyst. It would help a number of us a lot. I will be a graduate by Gods grace in 2days, I would have dropped the link to my github page, but I currently need to fix a thing or two. Thanks.

simmieyoung:
Hello sir, I'm an R user. I currently have a number projects I worked on from statistical analysis, NLP to machine learning. Perhaps you have connects looking for interns or junior data analyst. It would help a number of us a lot. I will be a graduate by Gods grace in 2days, I would have dropped the link to my github page, but I currently need to fix a thing or two. Thanks.

Ejiod:
On thing about data science and analytics is that once you are there, you develop huge interest. Everything you be thinking will be data and how to make meaning of it.
Fast forward.. I applied to different firms just to see and nearly all scheduled for an interview .
Had one offer... physical presence job. 150k and I'm like commuting to island daily for that amount.... damn I had to drop it. They were like they will increase it. I'm like biko let me maintain my lane on my remote stuff. My baseline expectations was 250k or more. The main idea was merging physical and remote so I get more than 450k or more..
Snapnet called me for test. Damn it..that was my horrible experience. Passed the first stage of interview.the manager was impressed. We were only 5 dudes for this test. The test came with Practical and theory.
As a sharp guy, I have all machine learning codes to run any damn data set for any predictions. Even packaged my XGBOOST in case other predictions are low. Did all the practical and boom it came to theory. This was where I had issues. Then I knew I messed up.
That was the first time I was given a theory test throughout my interviews. Had to snap it from my head and move on. Obviously I knew I won't be called.
Fast forward... I then got an offer from upwork. Damn the work was sweet. Web scrapping. Did that for 4 month. Beautifulsoup and scrapy was helpful then.
It was while on upwork I got an offer as a data analyst through ng.ineed.com .... That app is quite helpful than LinkedIn. The salary is quite big ..............


Will update how I got that offer and how I also became a software tester too

Ejiod:
Out of the 3,
One from from lekki asked me to analyze data as assessment of which I pythonize it,running pandas and Power BI on it.Had to utilize all my skills to solve the problem.This was a big edge I had over others.Some excel users will be calling theirselves data analyst but they are just far from it... before you knew it,in just a week I got a notification that "Can I resume the following week" with a net pay of 180k. Damn!... I was so so happy... first data analyst job and the best thing about it was that it was remote..No transport, just me in my house and I report to boss every Friday what I've been doing.
Had to share my story too to freetutorials.us because they were helpful with tons of tutorials I downloaded from them.
Fast forward..4 month into the job damn, I started expanding and experimenting my skills. I became more of a Business intelligence developer. Before a year, I've toured round 15 states in Nigeria all by flight....
I loved what I was doing then,but one thing about remote job is that sometimes it may make you lazy and extravagant sometimes. Its then you will be thinking of going to cinema to watch film or event centers......

Grandlord:
Do you use high level maths and statistics on your day to day projects? Can you please explain more practically what your job entails? Thanks.

Ejiod:

Nope only when case arises.
Sharing daily activities

Grandlord:
Sharing daily activities? I don't understand. What I asked was how do you do your job, practically?

Ejiod:

Hmmm this your tone

Ejiod:
DAY TO DAY ACTIVITIES: 1. Run dashboards based on different metrics. 2.Two powerful tools I make use of everyday is TABLEAU and POWER BI...
This type you connect to DB not excel or regular csv.
3.Query database with advanced sql queries and spool out results. 4.Weekly report from dashboards 5.Run Interactive dashboard with plotly..
I only run ML or DL if needs arises. 6. Develope XLSForm for ODK. 7.Web scrapping. 8.Data driven test on applications

QueTeddy:
Nice Job Boss.
So Boss from when you started till the point you had the job opportunities, how long?

Ejiod:

6months after self training I applied to firms. 2months later I got my first offer in data science

Ejiod:

6months after self training I applied to firms. 2months later I got my first offer in data science

Devops:
What is the name of the course you took? And how did you build your portfolio?

Ejiod:
A-Z Machine learning with Pyrhon and R by Krill Emerenko 2. Python for data science bootcamp by Jose portila 3.Cant remember the courses on SQL. 4. Python for financial analysis

dauddy97:


pls, come and update us. Many have been waiting for you.

Ejiod:
Been stressful this week..
Running dashboards and felt like my head blowing off. So tasking especially when all departments depend on you for data.

On a typical day, I run sql queries to pull data for different dept. Once done I get to run my analysis. Learnt something this week on Tableau on building word cloud. Been doing that with python but with Tableau it's just drag and drop.
In Tableau or powerBI you need to be grounded on data before you drag any field.When I mean grounded, you just have to understand the deep basics of data.Once you become advance then you start writing DAX functions.
The word cloud was for customers feedback from the product.


On how I got my third offer. It was through ng.indeed.com. Role for BI developer.
We were just 3 scheduled for the interview. We were given company's data to analyze.I did that as normal with my python scripting . Scatter the SQL queries and an data quality project. We both came in to defend our analysis. I was the only dude using Python to do magic. Had to go deep on the analysis even using machine learning to predict. Gave suggestions and during the interview the I had to demonstrate and explain all analysis. It was great though.
Boom the following week I was called saying I should come for negotiations. Naso I go oooo.They were eager to see me,commending my analysis.
Told them 350k and they were like that's so high.
A week latter they ask for an amount close to that and I'm like I will think about it and give them a call.
RULE1: In an interview never be eager when a firm offers you any amount.

Told them of the least I can take and they said they will call me on that. Finally they agreed.