
UMN X KPMG Signs Cooperation Agreement: Open Internship Opportunities to Scholarship Programs
April 29, 2025(DQLab)
Tangerang, [25/04/2025] – Technological and digitalization have changed how businesses, governments, and individuals make decisions. In this increasingly competitive era, data is no longer just a collection of numbers but has become a strategic asset that drives innovation, efficiency, and growth. Therefore, understanding data and having analytic skills is necessary for anyone who wants to thrive and succeed in today’s workforce.
Data literacy is not only relevant for the tech industry or large corporations, but also for healthcare, education, manufacturing, and many other fields. Organizations that can manage and utilize data well will have a greater competitive advantage over those who still rely on traditional methods in decision-making.
For this reason, three main skills need to be mastered to optimally utilize data and become professionals who are ready to face challenges in the digital era:
1. Data Analysis & Interpretation
Understanding patterns in data, identifying trends, and making data-driven decisions are skills now required in almost every industry. With strong data analysis, companies can improve efficiency, better understand customer needs, and develop more accurate business strategies.
2. Data Visualization
Presenting data in the form of graphs, interactive dashboards, or infographics makes it easier for anyone to understand and draw conclusions from the available data. This skill is essential for professionals who want to convey information clearly to their team, superiors, or stakeholders without overwhelming them with raw numbers.
3. Programming for Data Science
Programming languages such as Python, R, or SQL allow professionals to process data at scale, clean data from anomalies, and create predictive models to help businesses make strategic decisions. Even for those who don’t come from a technical background, understanding the basics of programming for data analysis can be a significant plus.
Why Should You Start Learning Data Now?
With the industry’s growing need for a workforce with data-driven skills, these abilities will not only help individuals get better jobs but also open up career opportunities in various fields.
Global companies are now making data literacy one of the main qualifications in the recruitment process.
However, many individuals still struggle to start their data learning journey, mainly due to limited access to quality learning resources and high costs. Therefore, DQLab presents a full scholarship program for those who want to explore data science and analytics. Through this program, participants will be mentored directly by professional mentors, gain real project-based learning experience, and acquire skills that can be applied directly in the world of work.
Don’t let this golden opportunity pass you by! For more, visit https://bit.ly/DQMEDIA information about scholarship registration can be accessed through https://bit.ly/DQMEDIA.
by Putu Wiena | UMN News Service
English translation by Levina Chrestella Theodora
Kuliah di Jakarta untuk jurusan program studi Informatika| Sistem Informasi | Teknik Komputer | Teknik Elektro | Teknik Fisika | Akuntansi | Manajemen| Komunikasi Strategis | Jurnalistik | Desain Komunikasi Visual | Film dan Animasi | Arsitektur | D3 Perhotelan , di Universitas Multimedia Nusantara. www.umn.ac.id