Dubai, United Arab Emirates, April 11, 2016 --(PR.com
)-- Persontyle, the provider of data science education and services has announced the launch of “Data Science Middle East”, offering Middle East’s first professional workshop to learn the most demanded skills of 2016.
In the last two years the world has produced more data than in all of human history. All this data and digital technologies powered by machine intelligence are changing the way everyone operates. For businesses and government services to compete in a connected economy they need to be able to make sense of all the valuable information that is being generated to unleash new waves of productivity, growth and innovation.
Persontyle and Everati have launched Data Science Middle East (DSME) with the vision to create a regional collaboration on digital skills and data talent development. DSME brings together business and technology professionals, researchers, experts, practitioners, and industry leaders to promote digital data literacy, research and innovation through open projects, capacity building, and community engagements.
The most commonly cited barrier to data science adoption is a lack of professionals with the right skills or training and there are many research and surveys confirming that in the future, demand for data scientists will outpace the supply of talent. This initiative marks a big step forward in uniting the worlds of business leadership, digital transformation, data science and new talent development. With the support from the local governments, industry organizations, communities and academic institutions, DSME is offering a variety of data education opportunities and digital workforce skills development projects.
The DSME training programs are designed by the renowned academics, authors and professionals in the field of data science, machine learning, big data, applied statistics and industry domains and are offered in the format of instructor-led workshops and boot camps. Learning experiences are designed to cover the theory, tools and applied practices required throughout the entire data science lifecycle, from asking the relevant questions to making predictions and visualizing results.
Data science isn’t just for data scientists. In massively connected data driven world, it is imperative that the workforce of today and tomorrow is able to understand what data is available and use scientific methods to analyze and interpret it. DSME is here to help professionals learn and apply the art and science of turning data into meaningful insights and intelligent predictions.
This launch is an invitation to industry, and academia to let them know that the DSME is open for business. They are looking forward to working with everyone to put data at the core of economic development and innovation with the aim of building a sustainable Middle East. Anyone interested in collaborating with DSME or having exciting ideas to develop digital data talent, please contact on firstname.lastname@example.org
Data Science Middle East and Everati team have confirmed that Middle East’s first professional workshop to learn the most demanded skills of 2016 will be held in Dubai (UAE) on 25-27 April, 2016 giving a great opportunity to practically learn data science and machine learning to advance knowledge and career.
Participants should attend this workshop to learn the fundamentals of data science and machine learning and leave armed with practical skills to extract value from data. Everati, their regional partner for the data science workshops, are a UAE based organization dedicated to the provision of global business information through premier, high-profile, specialized business to business events. For more information on how to attend, participate or become a sponsor, please visit www.datasciencetraining.me
As data becomes more influential in shaping the work and strategies of so many industries, Persontyle wants to raise a generation with the skills and knowledge to work with data. For collaborations, partnership and joint industry programs, get in touch at email@example.com or drop a line directly.