Accenture Ireland has launched a new data science course specifically directed at women working at STEM who want to explore this emerging field.
Many STEM fields, including data science, suffer from a lack of talent. This is a problem that many organizations hope to overcome with multi-branch plans, using different methods to find people with the skills they need.
Accenture Ireland hopes to overcome all this while promoting diversity better on one occasion with the new data science evening course, which was launched on January 17.
The course, entitled Women in Data Science Accelerator, will be held in an evening session for six weeks. This program hopes to provide unique insights about the daily lives of a data scientist.
30 women who already have applied data skills or extensive applicable numerical experience will get the opportunity to develop their data science skills, networking with other women to build skills in the data science space and learn from exports in the field.
This course will be held at The Dock. Medb Corcoran from Accenture, who is an Irish leader at Accenture Labs, will oversee the program's Leadership Stories segment and act as a judge.
"This course underscores Accenture's ongoing commitment to celebrate and foster diversity, not only throughout the organization but also throughout the Irish technology sector," Corcoran said on the day of the program's launch. "Through programs like our Women in Data Science Accelerator, we can bring together women who have an interest in data and analytics, and give them industry-led lectures, direct workshops, and career guidance to help build careers in science data."
Paul Pierotti, program sponsor of Accelerator, added: "Participants on the course can expect to hear from Accenture data scientists at all career levels who will share their career stories, provide case studies for roundtable discussions and consult on course project questions. This is an extraordinary career development opportunity to enhance, collaborate and build networks with fellow and prospective data scientists. "
Interested parties can find out more by visiting the website.
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