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Data science and analytics executives in high demand

Unlock data

Data scientists and analytics executives are in high demand because exploring data in meaningful ways is key to unlocking and understanding the problems facing organizations.

These specialists need the skills to organize, interpret, structure, and present data as useful information, providing critical context about missed opportunities and failures within the company.

This is critical for businesses facing uncertainty and economic pressures through the pandemic, and many are looking for professionals who can unlock the data and understand where opportunities lie. For them, adopting this skill set was the difference between success and failure.

mastering skills

Careers in this field will naturally be able to apply algorithms and analytical techniques to explore and interpret patterns in data, identify solutions, and communicate results along with recommendations to various key stakeholders. Perfect for curious people.

The average annual salary for a data scientist is about $120,000. iStock

These specialists have strong technical skills and confidence in a variety of software programs, so they often have good math skills and good communication skills.

According to Indeed, data scientists should be proficient in computing, statistics, advanced mathematics, machine learning, and database administration.

Data scientists and analyst executives are employed in a variety of sectors including retail, finance, IT, government, and healthcare.

make changes

As the cost of living rises, many Australians are looking for jobs that pay better than their current salaries. A pandemic triggers a period of contemplation. In short, Australians are rushing for executive degrees in data science and analytics.

RMIT University’s Master of Science in Data Science was launched in 2017 and is one of Australia’s first data science-specific degrees. The university’s data science student cohort has grown steadily each year since the program was launched.

Developed in collaboration with industry leaders, this program brings data science to strategy and leadership. This course provides a broad foundation in programming, analytics, data wrangling, and visualization. Students can study part-time without interrupting their current role.

Professor Falk Scholer, program manager at RMIT University, said the program is open to people with a background in computing or statistics, the two core components of data science, but also backgrounds in other disciplines such as science, engineering, etc. It is said to be designed to accommodate people with Or healthy.

He noted that the demand for data scientists has increased significantly over the past few years, and that trend will continue as companies collect more data and use it to gain new insights and a competitive edge. doing.

The trend was somewhat affected by the pandemic as universities temporarily moved from on-site to online learning, but enrollment continues, Scholer said.

“It was a particularly difficult situation for some international students, but both students and staff worked hard to continue learning and develop a sense of community during the isolation,” he says.

stepping Up

Data Science is an ideal degree for those who come from other fields such as science, engineering, or health and want to focus on additional techniques for analyzing and understanding data.

“Rapid developments in the fields of big data, artificial intelligence and machine learning mean that new tools and approaches continue to become available, ideal for students looking to advance their careers.” he says.

“Perhaps even more importantly, data science tools and technologies will equip people to help tackle some of the grandest challenges affecting humanity, from climate change to understanding global pandemics. is,” he says.

A successful business strategy depends on understanding data, and without data-literate leaders, even the best data teams can struggle to apply their insights to the business.

One of the great benefits of a data science career is that the roles are so diverse, from focusing on statistical analysis approaches, to devising algorithms and deploying AI-based models, to extracting complex ideas and communicating them in an easy-to-understand manner. There is something.

“When it comes to application areas, we can help businesses understand complex product preferences and generate recommendations, or help users understand how users make their website a more engaging and efficient experience. It can help you understand how you interact with others and identify related trends.Homelessness and how to provide services and support most effectively.Possibilities are endless and becoming an increasingly sought-after career. We are doing it,” says Scholer.

Access classes anytime, anywhere with RMIT University’s online canvas platform. Connect your data. Unlock your business strategy. Please contact us here.

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