Data scientists, please share your experiences, training and problems you have worked on.
This field is very new in Naija, it would be great for us to share information and resources as they relate to naija

Cheers

I am not a pro though. Currently, I used matlab for analyzing final year/post graduate students project. Although, I am willing to expand my knowledge in this field.

Data scientists? I realy dont get it! Do u mean scientists like physicists in atmospheric, ionospheric, climatologists, economists, sociologists etc or u mean computer programmers who work wth database? If you mean the former, I will like to follow!

omoor: Data scientists, please share your experiences, training and problems you have worked on.
This field is very new in Naija, it would be great for us to share information and resources as they relate to naija

Cheers

It's an interesting field, but to sit at the table with the big boys in naija, you have to tilt more towards Data Analysis. In the past one month there has been a lot of Data Analysis related vacancies. That said, there's nothing as cool as predictive analysis...makes you feel like a god.

Urine:

It's an interesting field, but to sit at the table with the big boys in naija, you have to tilt more towards Data Analysis. In the past one month there has been a lot of Data Analysis related vacancies. That said, there's nothing as cool as predictive analysis...makes you feel like a god.

where ar d jobs ? What credentials ar required? Fill us in.

Data science is a pretty interesting field. Could be complicated when you are at the algorithmic level. I only do research in this field. I utilize learning algorithms to extract information from datasets and generate models. I mostly use neural Networks and Support Vector machines but I am gradually switching to deep neural network models.

asalimpo:

where ar d jobs ? What credentials ar required? Fill us in.

Check the job descriptions in these links to have an idea;



http://www./hotjobs/36659/graduate-consumer-planning-and-research-analyst-at.html

http://www./hotjobs/37856/retail-analytics-analyst-at-standard-chartered-ban.html

The links has been censored, add hotnigerianjobs dot com after the www.

lum1: Data science is a pretty interesting field. Could be complicated when you are at the algorithmic level. I only do research in this field. I utilize learning algorithms to extract information from datasets and generate models. I mostly use neural Networks and Support Vector machines but I am gradually switching to deep neural network models.

neural networks,
support vector machines,

so what is data science about in laymen's terms?

Imagine those wanting to learn programmg glancg at this?
They'll just exit this site swiftly.
What's a support vector machine?
*Jargons will finish this field. *

asalimpo:

neural networks,
support vector machines,

so what is data science about in laymen's terms?

Imagine those wanting to learn programmg glancg at this?
They'll just exit this site swiftly.
What's a support vector machine?
*Jargons will finish this field. *

My brother, I have been following this thread since 3 days ago I saw it. Honestly, I don't seem to get why the thread was created. Is it a tutorial on data science or what. Op please you really need to come out and tell us your bearing as respect to this topic. Thanks.

Asalimbo, please take it easy on op. You might scare him off. I really want to learn from this thread.

Hopefully, my definition is close to what the OP has in mind but Data science concerns making sense of loads of data and effectively gaining insights into structures that these data relate to using computer science and statistics. For example, from data of how tumors have evolved to cancer in some people and how it did not in others, data science can define a general and fairly accurate predicting structure that would predict if a new patient with a tumor is likely to go on to have cancer. A study was done using data science on Facebook and algorithm was able to tell the emotional state of facebook users. It showed that facebook users were on an emotional low during the end of the year because most break-ups occur around that time. With data science and Machine Learning, it is possible to create systems that learn from data. Support Vector machine and Neural Networks are techniques by which learning can occur in data.

@lum1, what you mentioned is exactly what I had in mind. I am glad to know there a people with these skills in Nigeria such as lum1.
Anyone else?

Data science in Nigeria is not existing, the oil companies and banks prefer to outsource to sap and the rest. Its a new field even in abroad

Data Scientist: The Sexiest Job of the 21st Century....according to Harvard Business Review....

The profession is still very new, many companies in the world now are recruiting these guys and they are among the highest paid professionals.

For you to be a Data Scientist you require the following skills below...

Introduction : The overall function of the Data Scientist role is to frame and solve business problems, and pursue business opportunities through a data-centric approach. This approach involves various processes, which include the capture and cleaning of data; the analysis and interpretation of data; and the communication of insights to various partners in IT and Business

Minimum Requirements :

An appropriate degree (preferably Post-Graduate degree) in one or more of Computer Science; Statistics; Mathematics; Software Engineering; Informatics; Economics; or similar

Full Description :

KEY RESPONSIBILITIES

�

* Frame Problem/Opportunity & Capture Data
o Collaborate with scientific colleagues to define the data modeling goals for designated project areasâ?¨
o Lead the data acquisition, data mining, and overall project management duties related to one or more existing analytics project areasâ?¨
o Partner with Business to identify inefficiencies and potential root causes��

�

* Analytics and Data Modelingâ?¨
o • Translate Business problem into tractable analytical problem, relaying results in common business language with managerial implicationsâ?¨
o • Develop and analyze analytical data sets, creating meaningful visualizations�â?¨
o • Design and implement creative approaches to predictive modeling problemsâ?¨
o • Perform model assessments, validation, and enhancement activitiesâ?¨â?¨
o • Partner with IT to effectively migrate analytical models from prototype to productionâ?¨
o • Drive adoption and application of analytical model results with business partners, ensuring benefits realisedâ?¨â?¨

�

* Communication��
o • �Create and deliver Business-oriented insights as to where the problems/opportunities lie and how resources may best be allocated to engage with those

�

EXPERIENCE

1.���Frame Problem/Opportunity & Capture Data

* Business Domain Expertise and Knowledge�
o Experience in a specific Business domain
o Ability to ask pertinent questions
o Ability to understand the nuances of domain-specific data

�

* Programming and Database skills
o Ability to use Hadoop; Java; Python; SQL; Hive; and Pig
o Ability to do Web-Programming in HTML; CSS; or Javascript
o Ability to conduct data mining, machine learning and text analysis

�

* Data Modeling, Warehouse, and Unstructured Data Skills
o Sound understanding of differences between structured and semi-structured data
o Ability to leverage a star-schemed data structure
o Ability to carry out data staging and work with unstructured data
o Ability to use ETL tools such as Informatica, MS SSIS, MS OLAP; Teradata bulk loading tools, etc.

�

2.���Analytics & Data Modelling

�

* Statistical Tool Skills�
o Ability to use R; Excel; SAS; MatLab, or other tools to piece together your propositions and discover potential patterns
* �Math skills
o Understanding of correlation, multivariate regression and all aspects of massaging data

�

�

3.���Communicate

* Visualization Tool Skills
o Ability to use Flare; HighCharts; AmCharts; Google Visualization API; Tableau; Excel; PowerPoint, etc.
* Storytelling Skills
o Excellent communication and presentation skills
o Ability to weave a coherent, compelling narrative around the available data

�

GENERAL COMPETENCIES

* Passionate about the role of data and analytics in problem-solving
* Extreme attention to detail; disciplined; accurate
* Resilience
* Ability to work in multi-disciplinary teams
* Proactive and innovative with inclination to experiment
* Empathic towards internal and external customers

If you want to know more about data science, visualizations and all, check www.orodataviz.com/what-we-do/

And yes you are welcome.

I think I became a data scientist before the term became a buzzword.

I started using data visualization tools since 1999 SoftwareFX ChartFX COM - softwarefx.com
I gathered NSE data since 1997 till date and used SPSS to perform predictive analysis on stock prices and market indices and trades.
I ultimately settled for SAS + JMP for my Data Analysis Operations.

Out of the blue.. i hear it is now a HOT FIELD.. Thank God for small mercies

I worked on visualisation in my masters project, taking courses on NLP through cousera. I plan to research on NLP for my PhD

lum1:
Hopefully, my definition is close to what the OP has in mind

This sounds very much like Machine Learning to me.

ejihand1:


My brother, I have been following this thread since 3 days ago I saw it. Honestly, I don't seem to get why the thread was created. Is it a tutorial on data science or what. Op please you really need to come out and tell us your bearing as respect to this topic. Thanks.

Asalimbo, please take it easy on op. You might scare him off. I really want to learn from this thread.

I know it is pretty much too late to reply this post but forgive me. I have hardly been here. Well, I simply saw the thread and was very much interested that Nigerian Programmers were willing to talk about this topic since it sometimes borders on being too mathematical. We could translate it into a tutorial thread though. So data science is simply extracting information from data. Data can come in many formats; Text: A study was carried out from semantic analysis of Facebook posts and it was realised that the general mood of the population around december was sadness.Lol. Now, to automate the analysis, sentences have to be converted somehow to numbers. And analysed using some algorithm.

Data can also be an Image (which is where I specialise). Recognising faces, BIometrics etc. It is useful to know what features to collect and what algorithm to implement. The human eyes process 72 gigabytes of data a second. Our computers are not that fast. So we need to be able to extract only the relevant information necessary for the algorithms. It can also be speech. I hope I have been succinct enough. I would be happy to clarify more.

foldl:


This sounds very much like Machine Learning to me.

Machine learning is knowing how to use implement statistical and probabilistic algorithms for use in Data analysis. Data science involves knowing what features use and train in this algorithms. There is not so much of a difference these days between both fields

lum1:
Data science is a pretty interesting field. Could be complicated when you are at the algorithmic level. I only do research in this field. I utilize learning algorithms to extract information from datasets and generate models. I mostly use neural Networks and Support Vector machines but I am gradually switching to deep neural network models.

Hi lum1, I came over nairaland to find folks doing stuff in DS. I am DS enthusiast too. Done projects using LR, SVM, KNNs and also exploring CRNNs. Also very active participant at Kaggle.
I have some ideas to share. DM me if you find it convenient.

innarticles:


Hi lum1, I came over nairaland to find folks doing stuff in DS. I am DS enthusiast too. Done projects using LR, SVM, KNNs and also exploring CRNNs. Also very active participant at Kaggle.
I have some ideas to share. DM me if you find it convenient.

That is sweet. I am also on Kaggle but not too active. I have focused more in the past months on Image Processing and also currently doing a PhD which has taken almost all my time. I hope to get back to "Kaggle ways" soon lol. I would very much love to talk to you

I studied Pure and applied mathematics in university of ibadan. I have researched about data science and grew interest in it. can i get info from anyone about masters program in Data science or a professional program/examination in Data science since i have a very solid background for it......

omoor:
Data scientists, please share your experiences, training and problems you have worked on.
This field is very new in Naija, it would be great for us to share information and resources as they relate to naija

Cheers

please can i get your contact?

Am a Spatial Data Scientist. That is a Data Scientist that link Maps/spatial information to his dataset.

Am currently running a beginner tutorial on Data Science with Python at: https://www.nairaland.com/3316409/data-science-tutorial-beginners-python


Data Science Tutorial For Beginners With Python Programming Language

Maybe someone here will be interested.

lum1:


That is sweet. I am also on Kaggle but not too active. I have focused more in the past months on Image Processing and also currently doing a PhD which has taken almost all my time. I hope to get back to "Kaggle ways" soon lol. I would very much love to talk to you

Where are you doing your PhD and what are you working on bro?

Sheggy13:

Where are you doing your PhD and what are you working on bro?

France. Joint program between Universite de Grenoble and GeogiaTech. I am working on 3D segmentation and tracking

A proficient R user here...
Ever since I dated R I've been deeply in love with the language....

Just love the flow of things in it..and how I can do whatever I please....

So we have lots of guys who are into data science, thats the new oil block. Businesses and organizations are marrying data scientist like the future of their business depends on it (which does ) people wants to make intelligence out of data today.

lum1:




France. Joint program between Universite de Grenoble and GeogiaTech. I am working on 3D segmentation and tracking

interesting research area. Perhaps we could talk more outside this place. I'm also in the academia. My email address is sheggswonder@gmail.com.. expecting yours. Cheers.

Hey guys, I'm an IBM certified data analyst. I'v worked with Hadoop, hive, bigsql, pig, jaql... And that was with the virtual servers they provided for us while studying. Ever since then, I haven't worked on those languages because of the environment.

I taught IBM will be recruiting us after the exam, I did pretty well as far as my own school is concerned, 2nd best actually with 80% to 81% (of the first ). I did had some interviews with IBM HR department while I was serving from UAE, Nigeria, and Egypt... But my NYSC certificate delayed me (or I taught). Anyways, I was told by my handler that the cert is required and I should forward it when available. I guess when it was available, the position wasn't available any longer. still waiting, still hoping, though.



Recently, with my leisure time, I use python for data science.

I fell in love with data science when it was introduced to us a year ago. I just wish there are places around to exercise these disciplines. I do enjoy it probably because I studied mathematics.

Sheggy13:

interesting research area. Perhaps we could talk more outside this place. I'm also in the academia. My email address is sheggswonder@gmail.com.. expecting yours. Cheers.

olumideokubadejo@gmail.com