Academic programs are one way for professionals to stay current with today's most in-demand skills. With the skills shortage increasing and competition for talent raging through industry and among start-ups, training has become a priority. Many aspiring data professionals are sharpening their skills through online courses or attending industry conferences. However, sometimes you just want to go back to school, at least for a visit. Try the University of Washington or the University of California, Irvine.
Data and big data analytics are fast becoming the lifeblood of any successful business. Getting the technology right can be challenging, but building the right team with the right skills to undertake big data initiatives can be even harder. Not surprisingly, that challenge is reflected in the rising demand for big data skills and certifications. According to research by IT research firm Foote Partners, both noncertified advanced data analytics skills and certified big data skills have gained value in recent years: with 74 advanced data analytics related skills and certifications rising in average value by 6 percent in 2015, followed by 116 advanced data analytics related skills and certifications increasing 4.8 percent overall in market value in 2016. Additionally, Foote Partners research found 123 related certified and noncertified big data skills seeing a 0.3 percent gain in value in the first quarter of 2017.
Having one of these in your resume can make a lot of difference. Data science is one of the most versatile fields ever around; even its name is not very explanatory of what the field actually involves. Perhaps that's one reason people find this field quite challenging and difficult to get into and even more difficult to show professionalism. It is well known within the data science community that to be a "good" data scientist is all about how strong of a portfolio you build, how diverse your projects are, and how well they show your ability to solve any problem creatively and efficiently. Although being a data scientist -- or have a specialty in any of its branches -- doesn't require a university degree, having some certificate that proves your profession in some aspects of the field can transform your portfolio and take your career on step further.
Udacity Data Science Courses, learn data science from industry experts at Facebook, Cloudera, MongoDB, Georgia Tech, and more. Udemy Data Science-related courses UH Data Mining Hypertextbook and Course, a new model for the data mining course, which includes a significant project on real-world data, and surveying the learning styles of students. Video lectures from conferences, workshops and the scientific lectures in the areas of machine learning, data and text mining, and semantic web.
On Sept. 9, during the DOD's semi-annual Artificial Intelligence Symposium and Exposition, Secretary of Defense Mark Esper affirmed that the Joint Artificial Intelligence Center (JAIC) in partnership with the Naval Postgraduate School (NPS) and Defense Acquisition University will collaboratively develop an intensive six-week pilot course delivered to more than 80 defense acquisition professionals of all ranks and grades. "These trainees will learn how to apply AI and data science skills to our operations," Esper said in his remarks. "With the support of Congress, the Department plans to request additional funding for the services to grow this effort over time and deliver an AI-ready workforce to the American people." Just as the university's highly-regarded Harnessing Artificial Intelligence video course paved the way for its support of the pilot course, NPS is well positioned to support Esper's declaration for further workforce development through its existing Data Science Certificate, and an upcoming similar certificate program in Artificial Intelligence. In the ongoing effort to expand the Navy's knowledge and expertise in the fields of data science and artificial intelligence, NPS faculty have developed courses that enable students to quickly gain insights in these critical disciplines.