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Chronicle Of A Data Scientist/analyst - Programming (77) - Nairaland

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Looking For A Data Scientist To Help Me With These Questions / Data Scientist Only / Aspiring Data Scientist. (2) (3) (4)

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Re: Chronicle Of A Data Scientist/analyst by Hinokami: 12:38pm On Nov 12
CareerPorte:
You just nailed it. That my point exactly. People learn and comprehend in different ways. Saying watching videos is not enough to become grounded is totally off the point. I learnt everything I know in Data Science through videos and online Bootcamp. I'm still a work in progress though, Nobody knows it all. But I can tell you for free that I have learnt enough to land me an entry-level data science role. I got a couple of invites for interview for data science jobs in the USA, I couldn't attend because they all want candidates residing in the US even though its remote. The idea was to convert remote workers to full-time after covid subsides.

I just want to enjoin everyone striving hard to learn data science not to give up. There a long road ahead, but appreciate yourself for what you have learnt so far. It is not easy to learn excel alone to mastery level not to talk of SQL and Machine Learning that requires a lot of complex algorithm for building your models. Have a plan, draw a learning schedule for your self and give yourself timelines. Don't try to learn everything at once. Take it one step at a time.

What seems difficult today, will seem like a stroll in the park to you in a couple of months from now with hard work, consistency and dedication. Download different data sets on Kaggle and try to make meaning out of them using what you have learnt so far, be it excel, PowerBI, SQL, TABLEAU or Machine learning.

Believe me, you have what it takes to become a full-fledged data scientist.

Don't be discouraged guys. We will all come back here one day to share our story of how we landed a great job through our skills.

KEEP GRINGING.


Hi, I'd like to send you a DM. How may I contact you? I just want to hear more about your journey. Thanks in anticipation.
Re: Chronicle Of A Data Scientist/analyst by Harmvirus(f): 4:28pm On Nov 13
Wow! Stumbled upon this thread yesterday and I practically did a vigil on it. I've been interested in data analytics lately as I want to switch careers.

I've been learning excel, python, power bi and sql although it has not been easy combining it with my job but I'm motivated with the stories on this thread.

Thanks Ejiod and everyone that has contributed to this thread

3 Likes

Re: Chronicle Of A Data Scientist/analyst by elvisgaga: 6:36pm On Nov 13
CareerPorte:
You just nailed it. That my point exactly. People learn and comprehend in different ways. Saying watching videos is not enough to become grounded is totally off the point. I learnt everything I know in Data Science through videos and online Bootcamp. I'm still a work in progress though, Nobody knows it all. But I can tell you for free that I have learnt enough to land me an entry-level data science role. I got a couple of invites for interview for data science jobs in the USA, I couldn't attend because they all want candidates residing in the US even though its remote. The idea was to convert remote workers to full-time after covid subsides.

I just want to enjoin everyone striving hard to learn data science not to give up. There a long road ahead, but appreciate yourself for what you have learnt so far. It is not easy to learn excel alone to mastery level not to talk of SQL and Machine Learning that requires a lot of complex algorithm for building your models. Have a plan, draw a learning schedule for your self and give yourself timelines. Don't try to learn everything at once. Take it one step at a time.

What seems difficult today, will seem like a stroll in the park to you in a couple of months from now with hard work, consistency and dedication. Download different data sets on Kaggle and try to make meaning out of them using what you have learnt so far, be it excel, PowerBI, SQL, TABLEAU or Machine learning.

Believe me, you have what it takes to become a full-fledged data scientist.

Don't be discouraged guys. We will all come back here one day to share our story of how we landed a great job through our skills.

KEEP GRINGING.

I would like to chat with you about data science . At also new in the process so I really want personnel in the field to talk to, even if it's a group discussion. Thanks
Re: Chronicle Of A Data Scientist/analyst by Singingbae(m): 12:42pm On Nov 14
Anyone to help me why this code is giving me error. I just want to encode a categorical column

Re: Chronicle Of A Data Scientist/analyst by Marveaux(m): 12:52pm On Nov 14
Singingbae:
Anyone to help me why this code is giving me error. I just want to encode a categorical column
"Transformers is not defined",why don't you remove that(transformers) and pass just the tuples instead and see what goes....
Re: Chronicle Of A Data Scientist/analyst by Hinokami: 6:47pm On Nov 15
Hi guys.. Just to keep the morale high.. Can we get some testimonies from our bosses here. Who had successfully gotten a job, who had made any significant progress....the realities of the day are quite different.

Unfortunately it goes just beyond learning a skill at the moment. You have to demonstrate such skill, network, build a portfolio amongst others

More suggestions and comments are welcome. Cheers!!!

3 Likes

Re: Chronicle Of A Data Scientist/analyst by CareerPorte: 8:52am On Nov 17
10 Commandments of Data Science

1. Focus mainly on solving the problem and not on tools, technologies, and models.

2. Data will never be clean or easily available. Data gathering and cleaning will take 80% of your time and effort.

3. Don’t underestimate the power of Excel and SQL - they are still two of the most useful tools for data analysis.

4. Simple models such as Linear or Logistic Regression will be good enough for many problems. You don’t need neural networks to solve every problem.

5. Textbook solutions may not work for most of the practical problems. You will need to try new approaches and innovate as required.

6. Nobody can remember everything. On the job, you can always use Google, Stack Overflow etc.

7. Learn Data Visualisation and develop the ability to explain your key insights in simple terms - such skills will be very useful with non-technical and business stakeholders.

8. Learn PowerPoint and storytelling - people may not appreciate your great work if you can’t convince them with your story.

9. Data Science is evolving rapidly. Please learn continuously, else you may become obsolete soon.

10. Focus mainly on solving the problem and not on tools, technologies, and models.

9 Likes 2 Shares

Re: Chronicle Of A Data Scientist/analyst by tplayer: 12:09pm On Nov 17
CareerPorte:
10 Commandments of Data Science

1. Focus mainly on solving the problem and not on tools, technologies, and models.

2. Data will never be clean or easily available. Data gathering and cleaning will take 80% of your time and effort.

3. Don’t underestimate the power of Excel and SQL - they are still two of the most useful tools for data analysis.

4. Simple models such as Linear or Logistic Regression will be good enough for many problems. You don’t need neural networks to solve every problem.

5. Textbook solutions may not work for most of the practical problems. You will need to try new approaches and innovate as required.

6. Nobody can remember everything. On the job, you can always use Google, Stack Overflow etc.

7. Learn Data Visualisation and develop the ability to explain your key insights in simple terms - such skills will be very useful with non-technical and business stakeholders.

8. Learn PowerPoint and storytelling - people may not appreciate your great work if you can’t convince them with your story.

9. Data Science is evolving rapidly. Please learn continuously, else you may become obsolete soon.

10. Focus mainly on solving the problem and not on tools, technologies, and models.

Like d excel part.
Re: Chronicle Of A Data Scientist/analyst by randomShek: 1:27pm On Nov 17
CareerPorte:
10 Commandments of Data Science

1. Focus mainly on solving the problem and not on tools, technologies, and models.

2. Data will never be clean or easily available. Data gathering and cleaning will take 80% of your time and effort.

3. Don’t underestimate the power of Excel and SQL - they are still two of the most useful tools for data analysis.

4. Simple models such as Linear or Logistic Regression will be good enough for many problems. You don’t need neural networks to solve every problem.

5. Textbook solutions may not work for most of the practical problems. You will need to try new approaches and innovate as required.

6. Nobody can remember everything. On the job, you can always use Google, Stack Overflow etc.

7. Learn Data Visualisation and develop the ability to explain your key insights in simple terms - such skills will be very useful with non-technical and business stakeholders.

8. Learn PowerPoint and storytelling - people may not appreciate your great work if you can’t convince them with your story.

9. Data Science is evolving rapidly. Please learn continuously, else you may become obsolete soon.

10. Focus mainly on solving the problem and not on tools, technologies, and models.
No 2,3 and 8

I’ve been on a project for sometime now and the only tool I’ve been using majorly so far is Microsoft Office and SQL sense.

I say “sense” because I did a lot of joins, merge and yada yada to pull out data from about 20 excel sheets to create a single refreshable report.

1 Like

Re: Chronicle Of A Data Scientist/analyst by Dahyormine(m): 6:19pm On Nov 17
CareerPorte:
10 Commandments of Data Science

1. Focus mainly on solving the problem and not on tools, technologies, and models.

2. Data will never be clean or easily available. Data gathering and cleaning will take 80% of your time and effort.

3. Don’t underestimate the power of Excel and SQL - they are still two of the most useful tools for data analysis.

4. Simple models such as Linear or Logistic Regression will be good enough for many problems. You don’t need neural networks to solve every problem.

5. Textbook solutions may not work for most of the practical problems. You will need to try new approaches and innovate as required.

6. Nobody can remember everything. On the job, you can always use Google, Stack Overflow etc.

7. Learn Data Visualisation and develop the ability to explain your key insights in simple terms - such skills will be very useful with non-technical and business stakeholders.

8. Learn PowerPoint and storytelling - people may not appreciate your great work if you can’t convince them with your story.

9. Data Science is evolving rapidly. Please learn continuously, else you may become obsolete soon.

10. Focus mainly on solving the problem and not on tools, technologies, and models.
I lost two Job interviews just because I Underrated excel... lol.

Naija recruiters don't care how good you are, as long as you can't use excel, they trash you!

Don't joke with Excel, know this and know peace!

5 Likes

Re: Chronicle Of A Data Scientist/analyst by noob03saibot(m): 11:16am On Nov 18
Zabiboy:


I actually said that for those looking to monetize their skill in the short run...cz this data stuff is a long run stuff as regards opportunities in Nigeria but app/software/web dev. is already in a force.
Hmmm! If you don't mind, please can you list out the learning part one should follow in order to secure a project / job as a web/ mobile app developer. Please
Re: Chronicle Of A Data Scientist/analyst by DrinkWater10: 12:29am On Nov 19
Jupyter notebook has refused to launch. I've used anaconda navigator it just loads but doesn't launch, anaconda prompt just brings up a prompt telling me to copy a link to my browser.
I need it to open directly in my browser like it should.
o use a Windows and Spyder launches but what I want is jupyter.
cc ejiod.
Re: Chronicle Of A Data Scientist/analyst by Ejiod(m): 5:05am On Nov 19
DrinkWater10:

Jupyter notebook has refused to launch. I've used anaconda navigator it just loads but doesn't launch, anaconda prompt just brings up a prompt telling me to copy a link to my browser.
I need it to open directly in my browser like it should.
o use a Windows and Spyder launches but what I want is jupyter.
cc ejiod.
Run your system by pressing Windows + R
Then type this
jupyter notebook
anaconda-navigator

The 1st opens jupyter notebook while the 2nd opens anaconda
Re: Chronicle Of A Data Scientist/analyst by DrinkWater10: 8:22am On Nov 19
Ejiod:

Run your system by pressing Windows + R
Then type this
jupyter notebook
anaconda-navigator

The 1st opens jupyter notebook while the 2nd opens anaconda
Thank you for responding.
When I do the first, it brings up a prompt telling me to copy a link to my browser.
The second step opens Anaconda Navigator but when I click on Jupyter notebook it just loads but doesn't open.
Re: Chronicle Of A Data Scientist/analyst by guysis(m): 11:07am On Nov 19
Please guys, I need more ideas/processes/options on how to set up a platform to enable a school compute : (1) It's staff payroll (2) Students grade and constantly update it(3)an avenue to send these grade(results) ,other messages to their parent via email.

From what I have looked at so far, I would need to deploy ms Excel and Access.

Can this pass for a data analyst role?
Re: Chronicle Of A Data Scientist/analyst by Ejiod(m): 2:45pm On Nov 19
DrinkWater10:

Thank you for responding.
When I do the first, it brings up a prompt telling me to copy a link to my browser.
The second step opens Anaconda Navigator but when I click on Jupyter notebook it just loads but doesn't open.
To avoid any complex stuff. Just go to your program files and delete it.
Then reinstall a new anaconda
Re: Chronicle Of A Data Scientist/analyst by GidiCars: 4:00pm On Nov 19
guysis:
Please guys, I need more ideas/processes/options on how to set up a platform to enable a school compute : (1) It's staff payroll (2) Students grade and constantly update it(3)an avenue to send these grade(results) ,other messages to their parent via email.

From what I have looked at so far, I would need to deploy ms Excel and Access.

Can this pass for a data analyst role?

Stuff like this can be better done using C-sharp. If you know how to write C#, this won't be hard at all. You can easily find codes for this online with just some tweaks and stuff to suit your own task.
Re: Chronicle Of A Data Scientist/analyst by DrinkWater10: 9:04pm On Nov 19
Ejiod:
To avoid any complex stuff. Just go to your program files and delete it. Then reinstall a new anaconda
All right I will.
Re: Chronicle Of A Data Scientist/analyst by AnalysisGuru: 9:12pm On Nov 19
Just to encourage you guys. I have moved from my former job to two other jobs since September 2020. I invested lockdown period in diving deeply in Data Science. I knew Excel before but i went further in SQL, understanding database normalization, stored procedures, joins and every other stuff. Then i also went further into Algorithms, understanding clustering, logistic regression, and a whole lot. I mixed this with some understanding of Javascript frameworks a bit too. I wanted myself to be too hot for just a firm. I capped with learning about Airflow too for data pipelines and automation. Finally, with my background in Economics, I made sure to understand business concepts and understanding what happens in the economy too. My initial job was 130k gross, 2nd job I got was 160k gross, i resigned after a month for this one I am currently in now. Data is the new oil peeps. Companies are on the look out for sharp data guys that can speak insights with numbers. Videos are nice but get your hands dirty with datasets and practicing. Real world application is the main thing not just understanding the concept.

Lastly, someone said, what I cannot create, I don't understand. This should be your goal. By next year i can decide to start sending my CVs out again if this firm doesn't impress and challenge me further.... Lolz.
I have not arrived too. Its a journey, not a destination.

12 Likes

Re: Chronicle Of A Data Scientist/analyst by Semtu(m): 9:25pm On Nov 19
guysis:
Please guys, I need more ideas/processes/options on how to set up a platform to enable a school compute : (1) It's staff payroll (2) Students grade and constantly update it(3)an avenue to send these grade(results) ,other messages to their parent via email.

From what I have looked at so far, I would need to deploy ms Excel and Access.

Can this pass for a data analyst role?

This is a walk in the park with php. If you need help at a little price contact me via my signature.
Re: Chronicle Of A Data Scientist/analyst by rodhy(f): 3:43pm On Nov 21
Hi everyone, started reading this thread few weeks ago and mehn, I'm pumped�. I've learned Microsoft excel (started way before I discovered this thread), PowerBI and sql. I think I'm okay with the excel, I watched youtube videos(excelisfun) and took leila gharani course on udemy. Now, I'm not too confident in my powerbi, and sql(only watched coding with mosh 3hrs vid on YouTube). Can anyone please recommend tutorials on Powerbi and sql?

2 Likes

Re: Chronicle Of A Data Scientist/analyst by randomShek: 5:34pm On Nov 21
rodhy:
Hi everyone, started reading this thread few weeks ago and mehn, I'm pumped�. I've learned Microsoft excel (started way before I discovered this thread), PowerBI and sql. I think I'm okay with the excel, I watched youtube videos(excelisfun) and took leila gharani course on udemy. Now, I'm not too confident in my powerbi, and sql(only watched coding with mosh 3hrs vid on YouTube). Can anyone please recommend tutorials on Powerbi and sql?
For sql -

https://coursedrive.org/sql-mysql-for-data-analytics-and-business-intelligence/
Re: Chronicle Of A Data Scientist/analyst by Lemken: 5:41pm On Nov 21
rodhy:
Hi everyone, started reading this thread few weeks ago and mehn, I'm pumped�. I've learned Microsoft excel (started way before I discovered this thread), PowerBI and sql. I think I'm okay with the excel, I watched youtube videos(excelisfun) and took leila gharani course on udemy. Now, I'm not too confident in my powerbi, and sql(only watched coding with mosh 3hrs vid on YouTube). Can anyone please recommend tutorials on Powerbi and sql?


for power Bi, I would suggest up and running with power Bi ( a nairalander told me this)
for SQL, I used Ms-sql and postgreSQL database design by krill eremenko
Re: Chronicle Of A Data Scientist/analyst by rodhy(f): 8:05pm On Nov 21
Re: Chronicle Of A Data Scientist/analyst by rodhy(f): 8:11pm On Nov 21
Lemken:



for power Bi, I would suggest up and running with power Bi ( a nairalander told me this)
for SQL, I used Ms-sql and postgreSQL database design by krill eremenko

For the powerbi, Is "up and running'' on YouTube?
Re: Chronicle Of A Data Scientist/analyst by Lemken: 8:19pm On Nov 21
rodhy:


For the powerbi, Is "up and running'' on YouTube?

I actually don't know about YouTube, but below is a link to the the course

https://freetutsdownload.net/microsoft-power-bi-up-vs-running-with-power-bi-desktop-free-download/
Re: Chronicle Of A Data Scientist/analyst by rodhy(f): 11:04pm On Nov 21
Lemken:


I actually don't know about YouTube, but below is a link to the the course

https://freetutsdownload.net/microsoft-power-bi-up-vs-running-with-power-bi-desktop-free-download/
Thanks smiley
Re: Chronicle Of A Data Scientist/analyst by Imakeherdrip(m): 6:13am On Nov 22
Re: Chronicle Of A Data Scientist/analyst by Imakeherdrip(m): 6:17am On Nov 22
Whatever course you're looking for, just get the name from udemy and append "free" to the course:

E.g:
"Powerbi up and running" + "free"

Google should give you a handful of links to get the course for free if available.

2 Likes

Re: Chronicle Of A Data Scientist/analyst by zeemahn(m): 8:49am On Nov 22
ibromodzi:


That's the power of research. The more you read, the more information you have at your disposal.

Visual inspection of data distribution (histogram, box plot, q-q plot, p-p plot) is informal, unreliable and does not guarantee that the distribution is normal. Nevertheless, presenting your data visually gives your audience the ability to judge the distribution themselves.

There are many formal tests that can be used for normality aside Shapiro Wilk and K-S tests. However, the former is recommended by many researchers regardless of the sample size, owing to the fact that K-S test is sensitive to extreme values.

You can read more about Normality test here https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3693611/

@ the emboldened.
I'm a final year student of optometry and vision science. No statistics/math. Although, I took some basic math/stat/CS courses in 100/200L

Which school? I completed my internship in April. Currently waiting for nysc. I've been learning Data science with my free time.
Re: Chronicle Of A Data Scientist/analyst by ibromodzi: 11:13am On Nov 22
zeemahn:


Which school? I completed my internship in April. Currently waiting for nysc. I've been learning Data science with my free time.
Good to know sir, I rep Unilorin.
Re: Chronicle Of A Data Scientist/analyst by zeemahn(m): 12:36pm On Nov 22
ibromodzi:

Good to know sir, I rep Unilorin.

Great. Its good to have an extra skill so that one can apply for more than 1 type of job. Well done.

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