₦airaland Forum

AdaugoChisom:
#50 per drop. When will you make your money? Haba

Tomiwa077:
I need a data entry personnel or someone good at using Microsoft excel.

I have like lots of information, up to 160,000 data I want to input into excel sheets. Its a snapped form (picture) to excel sheet.

Please DM, if you can or have someone who you can. Payment is per input ( as much as you can input).

08149296820 - WhatsApp
Ogunztoms.ot@gmail.com

Thank you

chucklesclothin:
Upload a photo let me see

myBraine:
Why is it that of all the problems ravaging this nation, ending Sars is the people's biggest priority.

Truly, there's a hidden agenda by the youths to sabotage government from Nigerian leaders.

I can't imagine any of this youth becoming my president anytime soon. I suggest it's high time we in the Northern hemisphere take a countermeasure. We need to protest against this protest.

In America, it was kiddos that were busy developing their country. Mark Zuckerberg, Bill Gate, Steve Jobs, Steve Wozniak, Paul Allen, Larry Page and Jeff Bezos all created a city called Silicon Valley while still in college. Today, the city host the biggest tech companies in the world. What have our youths here done to warrant them the privilege to protest? Tell them to venture into lucrative ventures like agriculture and they'll call you a cave man.

It is high time the military comes in.

abdeiz:
Data engineering

ibromodzi:
From your write up, I can deduce that two things are missing in your data analytics armament. First is the theoretical knowledge of data analysis (most guys joke with this always) and the second one is the domain knowledge needed to navigate through any data you are working on. You can't make any meaningful conclusion about datasets without these two.

Now, back to the question. Honestly, a simple google search would have given you the answers to your questions, but I'll still try to break it down according to my own little understanding of data science.

Any data collected in its raw form has no meaning until it is processed according to what the company requires so as to utilize the data solely for decision making purpose (making conclusion), which in turn helps the company to grow. Now, there are two important things here,
1. The company's requirement (i.e why was the data collected in the first place?) - Let me give you a couple of real life examples here:
a. The government wants to know whether a newly developed drug will be effective in the treatment of Covid-19. So they do this by conducting a round of clinical trials on patients willing to participate. Remember why the clinical trials were conducted? To test the effectiveness of the drug.
b. A financial institution (bank for instance) wants to develop an advanced system for detecting fraudulent transactions among their customers. They do this by getting a large record of transactions that have taken place in the past. Again, you remember why they needed the record of past transactions? I hope you are getting the gist by now?

2. Now, let's continue with the second important thing in data analysis process which is the goal/objective of obtaining the data in the first place - to make decisions or conclusion about the data.

Going back to the examples I gave above, the government can conclude whether or not the drug is effective based on the outcome of the clinical trial, the financial institution can spot fraudulent transactions based on the model built with the data collected, a country can project their future population based on the available data and make appropriate policies to address any resulting economic/social challenges, Netflix can recommend movies for you based on your history, this makes you stay glued to them, which eventually generates more revenue for them, YouTube suggests videos for you based on your past activities, you are tempted to watch more which means more money for them.

So what's data analysis in real life all about? Three basic things;
1. Why collecting the data?
2. What conclusion (actionable insights) are we making from the analysis?
3. How does the conclusion affect the growth or otherwise of the company?

The takeaways...

When carrying out any analysis, ask yourself or the client these questions;
1. What is the objective of the analysis?
2. Do we have research questions we are trying to answer?
3. Do we have any research hypothesis (which eventually leads to conclusion) ?

The above are what your visualizations and statistical analysis tell you. The more experienced you are, the more accurate you are likely to get the steps.

I hope you find this useful and grow with it.

abdeiz:
Really great stuff going on in this thread.

Lots of experienced advices, enquiries by newbies and so forth.. What a thread.

I started my data analyst journey for a few months now but juggling my job and learning has been tougher than I expected hence the slow pace.

I was lucky tho to get scholarships with dataquest and educative.io, currently enrolled with Hamoye virtual internship but there is a lot of question marks hanging on that.

Can't say I am yet competent as I have low confidence doing projects to showcase my skills.. Imposter syndrome or what is it called. I need to take care of that pretty soon because projects show what you can do and gets you the job.

Namaste ��

Magma012:
Today I start my journey in becoming a data analyst... so help me God

dives:
I am sorry I have no idea. I am in the same shoes as you are.

dives:
What role?

GrandMufti:
Incremental is for those already using the rom.

But pixel experience doesn't have customisation. Better look for other ROMs.

Check @RedmiNote7Updates


But before that, you have to install custom recovery like orangefox. Search Google for the rn7 version. Then follow the steps posted above

vickertony:
May 22.

vickertony:
Guys una well done ooo
I have not heard from jumia since I returned the faulty umidigi a3s I got from them.
No refund, no news, nothing.
what's the way forward, what do I do?
coz e don de vex me.
I sent them mail today, they said I should expect reply in two days.
The way they just lock up no funny again, they just snub me like that been waiting since last month.

cochtrane:
Brilliant! That monthly analysis thing is quite revealing. I also wonder if there's any insight deriveable from the influence of coronavirus on hours/days of Frontpage posts.

iCode2:
I wish I can do this already!

cochtrane:
Just looked at the csv now. This is where it stops. That's 31st of May:

2019-05-31 15:38:00

cochtrane:
As a budding data scientist who visits NL often, it's not surprising that you start to get more than interested in the some of the topics making front page and how frequent topics from individual sections reach the top. I have been looking into this for a while and thought it would be nice to do some investigation in this regard. For example, which section makes front page most often? How often do we see programming topics get to the front page? Who posts more often on the front page? Is it really lalasticlala, as is frequently supposed, or is it someone else? What exactly has been the relationship between lalasticalala and snakes over the past year? Some people think he loves to push snake topics to the frontpage more often than other topics. What else can we learn from the topics making frontpage? Like for example, are they mostly about Buhari or something else?

Anyways, getting your hands dirty with a data set is always a good way to learn data analysis. If you need help with navigating this, you can buzz me.

hammerpP:
lala, please help us ask the tribalistic moderator in Politics section wat this thread did to him.


He is the same mod that will turn a blind eye to thread abusing Igbo people, yet very quick to hide a thread discussing oil in Igboland.


Help us ask him wat this thread did to him. cc seun https://www.nairaland.com/5903415/no-oil-south-east#90309951

mcemmy0z:
If you reside around songo Ota I have these available
*Udemy - Beginner to Pro in Excel Financial Modeling and Valuation
*Udemy - SQL - MySQL for Data Analytics and Business Intelligence
*Tableau 10 A-Z Hands-On Tableau Training For Data Science!
*Tableau Hands-on Learn Data Visualization with Tableau
*Udemy - Power BI A-Z Hands-On Power BI Training For Data Science
*Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science
*Udemy - Python for Financial Analysis and Algorithmic Trading