₦airaland Forum

ylaa:
Oga I didn't call u for my talk. Which one be mumu training? No insult me oh! I no wan trouble!
If the thing no work out, leave me to lick my wounds. No harm in trying. Take your time oh I am being gentle with u oh!

OK. Sorry babe. Just wanted you to know there is every harm in trying the wrong way. But from me, no insult intended. Enjoy your millions!

ylaa:
God bless you sir. I am also a cluster director. Training for disbursement will commence next week.
BVN is not needed, form was 500 then. In my unit I still receive details from new beneficiaries as those who submitted their details previously are not responding. I need to fill my unit.







quote author=missyge post=95081979]I am a member of Telpecon grant, infact a cluster director. To those saying it’s Scam, oyo.

But op, registeration has ended I wonder why someone is coming to meet u this month for asking for bvn details.

1, registration is free and d only amount any beneficiary is to pay is 200 naira and ure paying dat to ur director to be able to print fill in ur details which many didn’t even pay and it didn’t stop their registration

2. No bvn was collected only account details which was demanded lately.

To those who say it’s scam, I will come back to remind u of wat u said by the time disbursements takes place.

Issorite. Person like you go chop training taya. Prepare to also give your scammers money for disbursement certificate(after your mumu training) next week o. You Neva chi chunti.

For good measure, check out CBN's statement below

https://huntersinternational.org/2018/06/20/news/editorial-cbn-refutes-grant-disbursement-claims-from-world-bank/

https://www.worldbank.org/en/news/press-release/2017/09/06/fraud-alert-world-bank-warns-of-co-operative-scheme-scam

Check out that link. World bank denies them.

solochrist:
i just found this to be helful for clarification sake
Govt, Foreign Donor Agencies and NGOs collaborate to empower Nigerians
April 10, 2020

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Enugu State government and some foreign donor agencies have joined hands with the Less Privileged Empowerment Coordinators Network (TELPECON), the umbrella body of registered non-governmental organisations (NGOs) in Nigeria to empower 44 million Nigerians.

Speaking at the South-East Conference and official inauguration of the TELPECON at the University of Nigeria, Nsukka, the Enugu State governor, Dr Ifeanyi Ugwuanyi said, “His government would wipe out the tears of the less privileged. The state governor is ready to partner with TELPECON in supervising the disbursement of the fund so as to ensure transparency and smooth operation. Any organisation that will make life meaningful for the people of this state, more especially the less privileged, will receive an attention from the state government.”

Ruminate on these:
1.) Who are these faceless foreign donor agencies? Till now, they don't have names?
2.) Why has this empowerment not made international news? After all the money is coming in from the western world. No coverage on ABC, CNN, FOX, Sky, NBC etc
3) Since when have they being promising and failing?
4) If any international NGO/agency worth its salt wanted to do empowerment, it wouldn't be through these clowns. You would hear the names of well-established firms and organizations to help out with process. e.g. Deloitte, PWC, Red Cross, USAID, CBN, Nigerian Banks etc
5) Why would CBN that is in-charge of monetary policy (which is to control inflation) release trillions to 44 millions Nigerians? The inflation will be of the run-away type. (the hyperinflations of Zimbabwe and Germany of 1923 would be child's play.)
6) Why would the CBN that directly oversee banks now have to transfer money to these clowns and bozos for onward distribution to the masses when it can make good use of these banks directly? Imagine, From CBN to Telpecon to NGOs to Chairpersons. Is CBN that daft?
7) Why is this Telpecon grant that seeks to empower 44 millions Nigerians not making the news rounds in our broadcast space? But only on the grapevine and the informal, ignorant and usually poverty-stricken section of Nigeria?
At that event, the Enugu state government was represented by the senior special adviser on special duties!
9) How many times will you submit account numbers?
10) At any rate, CBN will never allow that amount to enter the circulation, at once.
11.) Grant are, by their nature, available to all but given to a select few. There has to be screening.
12.) 1 million each (and I am being conservative going by the amount each person is expecting) for 44 Millions Nigerians totals 44, 000, 000, 000, 000 Trillion Naira. Hahahhahah. Your Nigerian budget is not even up to half of that.
13.) When America, for instance, has infrastructure decay and huge debts

I could go on and on, but let me stop for now.

pek:
I listened to an audio of their chairman who said there is seven billion dollars waiting for them in CBN. All it needed was for the money to be transferred to TELPECON account. Seven billion dollars! So laughable.

when I heard, I just laughed.

one person heard and was rejoicing about d nonexistent money with CBN.

Ignorance and poverty are holding us back.

So for all they care, Nigerians can starve to death in the first wave. Clap for yourselves

Qtsnow:
Inter fans plenty for Nigerian we even get WhatsApp group and officially registered Fan Club with Inter since 2018

Forza Inter! Not sweet but effective. Conte style.

Marveaux:
Wow thanks so much for this.
Finally someone has put everything in perspective and laid down a roadmap for learning.
Thanks again

Please don't think SQL is not important because it has no real number in my roadmap. It is very important to land big jobs.

Marveaux:
Please sir, can you emphasize on "d right place and build"?
Thank you.

1- Excel(and relatives/natives like pivot table, power query(you can skip the M language in it), learn to create dashboards with excel(because what a lot of business people know is excel and excel is everywhere; power bi is d shiny kid getting lots of love now, and for good reasons), learn formulas and array formulas. Once u understand how cell referencing works, excel becomes easy.
1.5- power pivot (or just move to 2)
2-power bi(please learn data modelling here, please please learn how to use d dax language to create calculated columns, measures, time intelligence so you can stand out. power query and power pivot are still here too.
Note that tableau can replace power bi too. These 2 are d most popular.
3. - involve urself in d statistical aspect of what you are learning. Using tools without knowing d statistics is not complete. after all data science, forger d sexy name, is basically statistics, some pure mathematics, cimputer science, and common sense. Please read all you can about probability, distributions, Central limit theorem, experimental design, ANOVA, manova, correlation, regression, Exploratory data analysis(e.g make sure you know all about d box plot, not just how to plot it), parametric and non parametric test, post-hoc tests. etc. Baba if you try all d things here, u are already a small boss.
4- Python or R, you choice (to implement 3, and even parts of 1 and 2. They are d languages of data.

5-Now, advance statistics and calculus( For MACHINE LEARNING!!!!!! which can be implemented using python or R.) You can start machine learning by using clicks and libraries before you go under d hood. machine learning no be beans sha o and its not just simple regression. But its learnable.

6. this has no number really. insert SQL anywhere after 2.


7- PRACTICE. PRACTICE. PRACTICE!!!

If all you want is mainly extraction, cleaning, munging, visualisation of data, and creating a shiny(apologies to R guys) dashboard, A simple knowledge of statistics may do it. Excel, Power bi and SQL will do.

To become a real data scientist aka machine expert, statistics, maths, must come in.

please, I put dis together in a hurry. others here should please chime in.

Marveaux:
And pandas?
With the way most of you guys are emphasizing on Excel and sql, it's beginning to sound as if pandas is useless for data analysis and I've been wasting my time for the past month learning it

Just DAT people overlook Excel and it shouldnt be so.

Marveaux:
And pandas?
With the way most of you guys are emphasizing on Excel and sql, it's beginning to sound as if pandas is useless for data analysis and I've been wasting my time for the past month learning it

No, it's not useless. Just start at d right place and build.

BelieverDE:
So true!

I've been learning Excel for 3 months now. The truth is, Excel is so broad and I get lost in it by lingering on it. I don't know whether to move to SQL or PowerBI (as suggested from the Microsoft edx Data Analyst Xseries courses)

Gurus in the house, please suggest a learning path for me to follow

After Excel, should what should I learn next. And what course would you suggest.

@Ejiod, Kirill Eremenko's course on Machine A-Z is no longer on freetutorialsus.com


Thanks all, in anticipation of your help always.

Good one! Yes Excel is broad. Don't give up on it; learn it, its quite powerful and it's the go-to tool for some tasks. Many so-called data scientist or analyst don't know it and it's bad. Power BI should go next, IMHO. With just Excel and Power BI, u are already productive.

Abcruz:
Advance maths and statistics is mainly for academia's in the field of Artificial intelligence. Most of the high level algorithms needed to build and tune-up a model to optimum performance has already been developed and shipped as libraries in order to abstract the foundational complexities of advanced knowledge in data science.

You don't have to reinvent the wheel by coding k clultering, classification, nearest neighbor from scratch before building a state of the art model cos that has already been handled by libraries. You only need to know how it works.

A renowned fellow in Machine learning whose name is Jason Brownlee once said he studied computer science, acquired masters degree and PHD in machine learning only to discover that most of the academic aspect is not practical applicable just theory upon theory.

Data science is not Rocket science. Developers at google and other big tech companies were once baby programmers mastery comes by continuous practice it is not a days job. Even those at google will tell you they're still learning.

By d way, I agree its not rocket science but its not rookie science, either. Practice is key as you have alluded to.

Abcruz:
Advance maths and statistics is mainly for academia's in the field of Artificial intelligence. Most of the high level algorithms needed to build and tune-up a model to optimum performance has already been developed and shipped as libraries in order to abstract the foundational complexities of advanced knowledge in data science.

You don't have to reinvent the wheel by coding k clultering, classification, nearest neighbor from scratch before building a state of the art model cos that has already been handled by libraries. You only need to know how it works.

A renowned fellow in Machine learning whose name is Jason Brownlee once said he studied computer science, acquired masters degree and PHD in machine learning only to discover that most of the academic aspect is not practical applicable just theory upon theory.

Data science is not Rocket science. Developers at google and other big tech companies were once baby programmers mastery comes by continuous practice it is not a days job. Even those at google will tell you they're still learning.

You only need to know how it works right? The how requires a fundamental understanding of what you are doing, why u are doing it, the limitations, how it works etc to really deploy it optimally. take "easy" regression, for example. You think its just about knowing what libraries to use? no need to understand probability, what R squared really means, multi-collinearity and how to avoid or fix it, studentizing, cook's distance etc. Breaking boundaries in data science requires a fundamental knowledge of a lot, even if not all, of those complexities.
Jason is as good as he is cos of his computer science degrees, make no mistake about it. Now, does theory hinder practical learning? Yes, but for d most part, it helps. And don't forget DAT data science, the part he's into, is just one aspect of computer science that covers lots of other areas he studied in school.
Again, can one do data science without knowing some fundamental complexities? Yes, of course. Thanks to libraries. Even Excel can do ML. But you need to learn the why's to be a don.

Abcruz:
The bolded is not entirely true as I've personally created machine learning and deep learning models without any form of experience in advanced of maths, statistics nor computer science.

Applied knowledge of a skill is not only done on big tech companies. What happened to trading your skill to global clients through freelancing on Fiverr or Upwork? There're people offering data science skills over there and cashing out big so think out of the box bro.

Even the data analyst we speak about Nigeria companies does not fully recognise it's potential that's why many are still unemployed after acquiring the knowledge.

Not entirely true but still true, isn't it?. A thorough understanding of machine learning requires more than just a few weeks at a boot camp, bro. classification, k clustering, random forest etc require a solid background knowledge of those skills I mentioned. you might build some models here and there but tweaking them and build advanced models requires more than just a few clicks. And yes I agree u can believe models without those skills I mentioned, but at a lower level. Becoming an amazon or google type data scientist requires a solid background. in short, taking it to the next level require more than what many enthusiasts have. If u are coming from a non-stem background, u will need to put in more effort.

Abcruz:
I beg to differ with your opinion.
When it comes to developing smart and innovative solutions machine learning and deep learning can never be ruled out as so many tech companies like google, amazon, Netflix, and Facebook depend heavily on it's algorithm.

If you did a little research, you would have seen that Artificial intelligence (ML and DL) is making waves in all areas of human endeavors including finance and healthcare.

Nigeria can never be fully prepared for any digital revolution but fortune favours those who tap from global trends.

How many data science roles are there in d world? Yet thousands are rushing in to learn machine learning in weeks, hoping to work in amazon and co
. Being a data scientist , at its core, requires sound knowledge of advanced statistics, some advanced maths, some solid computer science. it's only those with these capabilities DAT are likely going to work as data scientists at big tech firms. how many running into machine learning have these.?

nwele2017:
learn what i have listed
Excel ,pandas , SQL ,statistics ,tableau or power bi
That's only what you need to become a data analyst any where in the World.many people are running into Machine learning thinking that it is self heaven and sexiest job of 2020 but, they don't know there is high demand of Data analyst than a Data scientist. Even software engineers are in high demand than data scientist.

A standard firm can employ tens of software engineers, 5 to six data analysts and only one Data scientist.
Am not discouraging people from learning data science; i just want to be realistic , this is what is obtainable in the industry .it is just like playing the devils game.
There is high demand of Data analyst and software engineers than data science.
I will tell you that data science is like a bubble that will soon burst. people see data science like a black box that can solve any problem but in reality it's a lie, the problem data science algorithm can solve is limited.And also data science i not all about knowing algorithm.
There are more to data science than knowing algorithm, understanding the context of industry you are working and also communicating the result visually and orally is also important.
The sure and easiest way of becoming a data scientist is to become a data analyst or business intelligence analyst and by doing this you become acquainted with problem that is need to be solved.

Take this advice and you won't regret it. Couldn't have put it beta.

5. Bribery in all borders is out lawed. Both the giver and the receiver shall be arrested and charged according to Ebonyi State COVID-19 Laws.
So bribery is allowed within the borders. Haha

In the early hours of 23 March 2020, Boko Haram insurgents launched a surprise attack on a Chadian army base, in Boma, in the Lake Chad region, killing over 90 soldiers, destroying military hardware, and stealing weapons in the process.

Later in the evening of the same day, the insurgents attacked a military convoy travelling for an offensive against Boko Haram, in Goneri village, killing around 70 soldiers, injuring some, and taking some others hostage.

While these two attacks were similar in terms of human and material losses, the responses by the two militaries have been anything but similar. The response of Chad has been emphatic, reassuring to the general Chadian populace, and motivating to troops; but devastating to Boko Haram. And the response of Nigeria? Well, we wait with bated breath. But let’s pray it’s not propaganda.

Boko Haram will forever wish they had not carried out the recent attack against Chadian forces due to the calamitous consequences that have followed. The initial phase of the lethal response (Operation Boma’s Wrath), which was carried out barely a week after the Boko Haram attack, was personally supervised by their president, Idris Deby, a well-trained, battle-tested war veteran. He called it the worst attack ever on their military, vowed to crush Boko Haram in the Lake Chad region—and matched words with action.

You only need to look at released pictures and videos of their offensive against Boko Haram to know why the Chadian military is regarded as the best in the Sahel: ransacked Boko Haram strongholds and hideouts, large caches of recovered arms and ammunition, death or capture of Boko Haram fighters, and a captured Boko Haram commander to cap it all. This offensive has left the usually boisterous Shekau, Boko Haram leader, sounding sober in his recent audio release.

The initial counter-response by Chad was a quick, decisive and ruthless offensive devoid of ethno-political and -religious bickering, administrative red tape, corruption, leadership ineptitude, inadequate military hardware and intelligence, low troop morale, all malaises that have characterised our handling of the Boko Haram issue.

There was no press release/conference by the Chadians downplaying or denying the incident, or highlighting the supposed weakness of Boko Haram, or one talking about how they are a “degraded” or “technically defeated” outfit that can only attack soft targets.

The Chadians didn’t wait forever to “study the situation,” or set up a “fact-finding committee,” as Nigerians officials are wont to do. Again, this was just one quick, daring sucker punch on Boko Haram with clear and decisive results.

They have not stopped with just one counterattack; they continue to rout jaded and Boko Haram insurgents in their strongholds, even on Nigerian territories. A sad reminder of where we are military.

This recent “uppercut” delivered by intrepid Chadian forces has provided the perfect foil for the deficiencies of the Nigerian armed forces and its leadership. Despite years of attacks, battles, skirmishes, we continue to show we lack the institutional memory, experience, and tactical nous needed to send Boko Haram militarily into the dustbin of insurgency history. Instead, we now have a military that is known more for its “tactical manoeuvres” than tactical offensives.

We continue to wage a never-ending war against Boko Haram with no definite, decisive end in sight. Rather, events of the past years have only solidified the thinking that Boko Haram is here to stay as a part of our national lives and staple on our yearly budget.

How has the Chadian military, which is much smaller in inventory and personnel (about 30,000), been so effective against Boko Haram for a long time while we continue to flounder in this attrition warfare? How and why has our military become a defensive one?

How many times are we going to witness more deadly attacks against our forces, only for them to mount feeble and cautious counterattacks? How many more times are we going to watch them sack our barracks, garrisons, military formations, or lay deadly ambushes? How many more times are we going to continue hearing trite propaganda terms like “degraded”, “technically defeated,” “chasing after remnants of Boko Haram?” How much longer do we have to put up with glaring leadership and operational deficiencies of the Nigerian armed forces?

Apart from exposing our frailties, this Chadian offensive shows that Boko Haram is not invincible and invisible. They do not live in thin air; they have strongholds and hideouts where they stay, sleep, and plan attacks, and these places can and should be destroyed if we want to put a decisive end, at least militarily, to this protracted, skirmish-filled, hit-me-I-you, hide-and-seek war against Boko Haram.

This is a time for sober reflection for all and sundry, especially those directly involved in military operations against Boko Haram, including the head honcho himself President Mohammadu Buhari. While I am not expecting Buhari to ditch his babaringa for military fatigues, he and his war commanders at all levels need to see this Chadian offensive for what is, a humbling experience that provides vital lessons moving forward.


This article was first published on Opera News Hub; It is reproduced here with little modifications
The writer of this article can be reached at tunzmails@gmail.com[b][/b]

CC Lalasticlala Seun Ishilove Mynd44 Dominique MissyB3 Fynestboi

As a statistics student, I have the following problems with the survey.

1) The sample size (6, 000) is too small.

2) You would expect the vast majority (or, at least, a simple majority) of followers of Saharareporters on Twitter to be anti-government, thereby skewing any potential survey on government.

3) the vast majority Buhari supporters are not online or on Twitter.


Hence, take the result with a pinch of salt.