The Statistics Study Program, Faculty of Science and Mathematics (FSM) at Universitas Diponegoro, organized the Data Scientist Competency Training for Statistics Students as part of its efforts to prepare graduates to compete in the digital transformation era.
In today’s digital age, data has become one of the world’s most valuable assets, comparable to oil and gold. Every day, billions of pieces of information are generated from social media, online transactions, smart devices, and daily human activities. This phenomenon has created a growing demand for professionals capable of transforming raw data into strategic information—Data Scientists. This profession plays a vital role across various fields, from business, healthcare, and finance, to environmental studies.
One of the key sessions in the training featured Alan Prahutama, Ph.D, a lecturer from the Department of Statistics, FSM UNDIP. In his presentation, Alan delivered a comprehensive overview of various analytical techniques that form the core competencies of a Data Scientist.
The materials presented included regression models (linear and logistic), decision trees, random forest, gradient boosting, neural networks, and Support Vector Machines (SVM). His explanation went beyond theory, providing real-world industrial applications that enabled students to better understand the relevance of each method in solving professional challenges. He also emphasized the importance of selecting the right model based on data characteristics and reminded participants that every analytical process must take into account ethical and privacy considerations.
With detailed, systematic, and interactive delivery, Alan Prahutama, Ph.D’s session became one of the most valuable parts of the training. Students not only gained in-depth technical knowledge but also practical insights that will prove beneficial when they enter the professional field as Data Scientists.
At the end of the session, he emphasized that Statistics graduates hold strong potential to become Data Scientists. “With skills in statistics, modeling, and modern analytical technologies, Statistics graduates can process data, predict trends, and provide data-driven solutions that support strategic decision-making across various sectors,” he stated.
This training is expected to further strengthen the competencies of FSM UNDIP Statistics students, ensuring they are well-prepared to meet the growing demands of industry in the digital era.