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The University of Miamis Institute for Data Science and Computing will host a lecture series to describe this emerging profession.

Data Science. It is one of the fastest growing professions in the nation, according to the U.S. Bureau of Labor Statistics. And with the sheer increase in technology able to track our every moveboth physically and digitallythe amount of information for these professionals to utilize is growing by the second.

To cultivate more of these minds in the workplace, the University of Miamis Institute for Data Science and Computing(IDSC) recently joined faculty members from across the institution to create a masters degree program that trains aspiring data scientists in four specialty tracks. And now IDSC is looking to demystify the novel profession in the lecture series Meet a Data Scientist.

This exciting new series will introduce the people behind the data, their lives, interests, and career choices, said Nick Tsinoremas, IDSC director and vice provost for research computing and data, as well as professor of biochemistry and molecular biology, computer science, and health informatics. This is a great opportunity to understand how these professionals use data to solve grand challenges in their respective fields.

Data scientists often organize massive amounts of data collected by an institution or company to find connections that could help solve problems, make decisions, or improve efficiency. For instance, if a hospital wanted to increase its productivity, a data scientist could look at the times of year when it typically has a high volume of patients, and make sure they have extra staff on hand during those weeks.

Essentially, a data scientist is someone who gathers chaos into something organized to allow others to understand it, said Alberto Cairo, the Knight Chair in Visual Communication at the School of Communication, as well as an associate professor of journalism and media management, and the director of IDSCs Center for Visualization, Data Communication, and Information Design.

In the first session of Meet a Data Scientist, Cairo described some of his experience crafting informational graphics at media companies in Brazil and Spain, as well as his current consulting role at places including Google and the Congressional Budget Office, where he takes data, structures it logically, and uses it to create visual representations of complex information in ways that are easy for the public to understand. Often, these come in the form of maps, charts, and graphs, he pointed out, but not always.

In many cases, Cairo said, he has worked with research scientists to communicate their findings more easily to a widespread audience, which helps to propel their career. He said the job of a data scientist is not only to be able to analyze the data, but to explain it in many formats.

I dont collect the data, but I help to present the data, he said.

Cairo emphasized the importance of working as a team to create the best data visualizations and mentioned that publications like The New York Times have nearly 50 data experts, including developers, graphic designers, and programmers who work together on projects. In addition, he has worked with programmers and visual artists to create Waves of Interest, an interactive illustration of the most popular Google searches during election years. And Cairo praised the work some of his former students did for The Washington Post, which localized the COVID-19 pandemic in numbers, and in The New York Times, where a survey and color coded map can help people understand the range of American dialects.

Getting your data right and your questions right is a huge amount of time spent for data scientists, he said, explaining that he often collaborates with clients extensively about their target audience and what they want to convey before getting the data and crafting ideas on how to illustrate it. I also ask scientists to explain their research to me. This helps me to organize the data, understand the relevant information, and plot it correctly, he added.

The next Meet a Data Scientist session will feature Ben Kirtman, professor of atmospheric sciences and deputy director of IDSC, as well as director of its Atmosphere, Ocean, and Earth Science division, on Wednesday, Nov. 18, from 4 to 5 p.m.

To learn more about being a data scientist, register for upcoming sessions here.

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Data scientists gather 'chaos into something organized' - University of Miami

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Fuelled by digital expansion and the use of new-age technologies across all industries, the demand for data science skills has grown rapidly.

By Emmanuel Osanga, head: data office, Africa regions at Standard Bank Group

The supply of skilled applicants, however, is increasing at a pace that fails to match demand, and which has accelerated under the new normal.

In financial services, where significant investments are being made to enhance customer experience and engagement through new digital capabilities, more data than ever is being generated. In this context, data scientists are crucial to turning significant datasets into useful insights.

This type of future skill has been in high demand over the past few years as enterprises expand their digital footprints. Now, almost everyone has upped the ante on their digital transformation efforts in the current environment, and this means an even greater gap to be filled.

A sooner-than-expected reality

If we rewind 10 or 20 years, few would have thought about technological advancements such as Artificial Intelligence and the volume of data that could be achieved at the scale we are seeing today.

Many legacy organisations lacked planning intensity because it did not seem like a potential reality in a scenario outcome at the time. The speed at which digital advancement has taken place in recent years, and in the past few months specifically, caught many by surprise.

This left companies in a position of unpreparedness and fast-tracked the demand for the type of skills that can turn datasets into action. IBM projected in 2019 that there would be around 30% growth in demand for the data science capability in 2020 itself. This prediction is expected to escalate due to Covid-19 leading digital transformation.

While skills supply in the Science Technology Engineering and Maths has been on a heavy uptick as alternative ways of producing data scientists become available, the world is battling an under-supply and over-demand of data science human capital.

It is, however, one of the key skillsets of the future that companies will have to prepare for. But for organisations to yield appropriate quality skills, there must be investment in mastery programmes that cover the full scope of what is required to close the gap.

Data science: A multi-faceted skill

Data science is a multi-faceted skill that is not learnt overnight. Few universities, academies and online courses are bringing it into application. While they cover the theoretical aspects, it is the business domain knowledge across multiple industries that will produce the desired output.

This is a key component of what is required to be a true data scientist. No amount of technical or theoretical training in data science will solve business challenges. It is the business acumen and competence, combined with access to mentorship and on-the-ground experience, that creates the magic.

It is also about matching individuals within academies with the right type of mentality, curiosity, and inspiration and showing them what they can achieve by leveraging data. Many tend to think about it as statistics, maths, and complexity. The truth of the matter is that those who are most successful in this area are inspired to make a difference and want to solve real problems using data science.

Standard Bank data science mastery programme

Standard Banks Data Science Mastery programme, launched in 2016, fuses the fresh thinking of greenfield graduates with the competence of experienced staff members. The programme is designed not to teach theory but to provide practical experience, nurturing and mentorship.

Participants are exposed to a diverse set of problems in different fields of business areas where unique problems exist relating to that area and data-driven type solutions differ.

The ability to combine technical or theory with practical experience by working alongside internal employees is proving invaluable. The experience of rotating individuals across business areas cannot be replaced.

Standard Bank has worked to improve the overall data literacy of the organisation to support its activities now and in the future. When exposed to the skill and its possibilities, individuals become interested in mastering data language.

This is expected to place further demand on the programme, which has already received an overwhelming response. It has, however, been structured to scale over the next two to three years to meet the demand both internally and externally.

This investment is one of the significant strategic decisions that we, as Standard Bank, have made to build a foundation for the platform journey we are now on. Our extended agreement with CRM Salesforce is a major step towards transforming the Standard Bank Group into a client-centred platform business that delivers a range of individualised, instantly available solutions, services and opportunities, enabled by modern digital technologies and delivered in whatever way a client prefers.

The Salesforce investment requires every staff member to reflect on their current skill set, and whether it represents that of the future. If not, there is an expectation that everyone undergoes reskilling to cope and fundamentally evolve and adapt.

Africa can accelerate the solve

There is a massive opportunity for Africa as a continent, given its young population, to skill its people appropriately for the future. There is great demand for the data science capability yet significant unemployment plagues the continent. Africas youth are, however, ripe for these capabilities; they are more inclined to quickly comprehend technology because that is their immediate experience.

The 4IR presents a golden opportunity for Africa. The rapid evolution of digital technology has caught the world off guard. Legacy organisations in well-established economies are undergoing transformation processes to digitally adopt. The continent, meanwhile, is a blank canvas unhindered by legacy that can leapfrog the worlds delay into the adoption if connectivity is enabled.

Investing in a data science mastery programme reinforces Standard Banks commitment to driving Africas growth. We are preparing Africans to be relevant in the future. Africa is our home, we are contributing to the future of the continent by laying these foundations. We will continue to expand on that and be part of the African story of preparing to meet demand for future skills in the region and globally as well.

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Addressing the skills shortage in data science and analytics - IT-Online