This Immersive program is designed to enrich the knowledge base and practical experience in the field of data analysis, processing, and modeling for graduates of technical disciplines or related fields. It also aims to develop analytical and logical thinking, problem-solving skills, and decision-making abilities. This prepares competent individuals to meet the demands of the job market.

Program Details:

This program introduces participants to the fundamentals of data science and different data types, including how to handle them. Participants will learn to apply key data science concepts using Python, starting from data analysis and processing, to modeling data, selecting appropriate algorithms for each type, and finally presenting the data graphically.

The program covers the following concepts:

• Exploring the stages of a data project lifecycle, from problem identification to analysis-based recommendations.
• Understanding data science fundamentals, including data collection, cleaning, visualization, and exploratory data analysis (EDA).
• Developing, evaluating, and enhancing the performance of predictive models with machine learning algorithms.
• Gaining an introduction to deep learning and its applications, including image recognition and natural language processing.
• Mastering the organization and presentation of analytical results to support decision-making through data storytelling.