learn Python for data science online
Best Data Science Training Institute: HoningDS is the best Data Science Training Institute online providing Data Science Training classes by realtime faculty with course material and 24x7 support.
Data Science Writer of the Year 2018
Francesco Corea is recognised as the Data Science Foundation, Data Science Writer of the Year 2018
Python for data science course
HoningDS.com offers the best online Data Science training. Get trained in Python, R, Statistics and Machine Learning by real time professional. We offer online course for every aspiring Data Scientist in any part of the world. Get hands-on experience using real time projects and become a Data Scientist.
Data Forecast 5 2019
Data Forecast 5 2019We are asking our members to predict the most likely developments in data use and data technology in 2019.We will identify five key trends in the answers submitted and publish them on the Data Science Foundation website. You could think along the following lines.· Which fringe technologies will become mainstream?· How will organisations change the way they manage and use their data?· What will be the driving influences on data analytics?· Are we likely to see huge advances created by the convergence of technologies? · Should the public at large be concerned about potential technical advances or data usage in 2019?
Data Science Foundation Consultancy
We are making good progress towards launching a Data Science Foundation consultancy service and are pleased to show the branding associated with this venture.
Contact firstname.lastname@example.org if you have a project you would like to discuss.Please pass this information on to colleagues and acquaintances who may be interested. Your support here is appreciated and will help the continued development of the Data Science Foundation.
Big Data Strategy: tips and practices
This paper illustrates tips and tools to run a data science practice within an organization. It will also give some tools to understand the stage of data science maturity of the company.
A modified version of this paper has been presented and accepted at an international conference very recently and will be available in a few months time in the " Advances in Intelligence Systems and Computing" series.
Congratulations to Francesco Corea, the winner of the March Data Science Foundation Contributor Competition
Congratulations to Francesco Corea, the winner of the March Data Science Foundation Contributor Competition. The March Contributors Competition is now closed, the winner of the £50 Amazon gift voucher is Francesco Corea. Thank you all for submitting article and papers. The April competition is now open.
Thanks Chris for the shout-out
Advances in Data Science 2018: Final Speakers & Discussion Themes
The University of Manchester's Data Science Institute is delighted announce the conference’s final speaker line up and the themes to be discussed our upcoming Advances in Data Science Conference on May 21st and May 22nd in Manchester. “Focusing on Gaussian processes, Deep learning, latent variable models, subspace learning, network models, spatio-temporal models and longituinal data, we will explore the ways in which these methodologies can be used to address challenges faced by those working in the key application areas: Health - Security - Criminology - Discrimination/Bias - Politics - Demographics - Urban Planning - Global Challenges - Social Media – Conservation” The full conference schedule will be available on the Advances in Data Science website on March 30th 2018.
The speaker line-up for the 2018 Advances in Data Science Conference Manchester has been announced and booking are being taken.
Human Resources for Big Data Professions: A systematic Classification of Job Roles and Required Skill Sets
An excellent paper, well written and well presented. Looking forward to seeing more like this from Andrea De Mauro et al
What are the most leftfield examples of data mining for me to use in a presentation?
I recently started working in the data science sector and friends regularly ask me "what's it all about". My son even asks me what it's like to work down a data mine. After giving the usual explanations about using vast data sets and machine learning to improve outcomes for businesses, research, and medicine, I'm met with looks of veiled pity that say "It must be pretty boring." But, as you and I know, it isn't. It's the future. So what are the real-world examples I should be giving to really make my party chatter fizz? Is it the potential to become a poker millionnaire? The opportunity to find out what makes the ideal husband? Or the ideal mix of gin and tonic? Please, lend me your wisdom...before my data-ignorant friends fall asleep on me!