Gbengaslc:
Hello,
i would be going for a 6 months internship by June, i would like to work in a firm where data science is used or under data scientist. Please does anyone here knows a firm that i can apply to?

BossTtdiamonds:
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....

nowpresence:

Good evening
I am having trouble installing ggplot2 on R language. My version is 3.42

 install.packages("ggplot2" ) 

"

" )

install.packages("ggplot2", dependencies=TRUE, repos='http://cran.rstudio.com/')

JobsInIT:
Hello team,

We are hiring data scientists.

Kindly mail resumes to recruiter@dipolediamond.com if you would like to know more about this opportunity

@omoor; @urine; @lum1; @kagawa; @everydayperson; @fadman4real; @foldl; @innarticles; @SLIM4; @umaryusuf; @toheebDOTcom; kindly refer candidates if you can.

Thank you all

BossTtdiamonds:


What Problems exactly? Can you post the error logs here?
You might also want to check your code as "R" is strongly typed i.e. case sensitive.
A != a, the reverse is also true.

The correct code would be:

 install.packages("ggplot2" ) 

NB: the extra space after is not required, this is just to prevent Nland from converting the concatenated into the smiley "
or you could trail the long path and point to a particular repo

install.packages("ggplot2", dependencies=TRUE, repos='http://cran.rstudio.com/')

This of course is a bug with R where sometimes the Repository being pointed at might not have the intended package you want to install.

Ezelexis:



Bro, any luck? Just like you, I will be due for a 6-month internship by April. Where did you do yours? Any advice on where I can I apply?

everydayperson:
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

Darivie04:
Data Science isn't really developed in Nigeria, to really enjoy the benefits of the job you might have to look outside the country.

I'm more focused on ML and its applications in AI, but anyone good in ML has to be also good in data science, so yh I've been working on my DS skills.

michade:


Good morning sir, I'm interested in becoming a data scientist, can I be under your tutelage?. How do I contact you?.

BossTtdiamonds:

Where do you stay at? North, Central, East, West or South

Emahnie:
Please anyone with knowledge of Rstudio, I'm in dire need

MoAfrica:
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
MFrame Problem/Opportunity & Capture Data
Collaborate with scientific colleagues to define the data modeling goals for designated project areasa
Lead the data acquisition, data mining, and overall project management duties related to one or more existing analytics project areas
Partner with Business to identify inefficiencies and potential root causes��
Analytics and Data Modeling
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 realised
* Communications
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
* 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

everydayperson:
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

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.

everydayperson:
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.

Do you work as a staff at a company or freelance?

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

crunchyDope:


pls how did u get the nse data?

everydayperson:


Developed software for a stockbroker which downloaded data from their modem-based system way-back and when it was migrated to the website.

Sorry just coming to this now