The course, developed to guide participants toward the ISACA DATA SCIENCE FUNDAMENTALS certification, is designed to provide the skills needed to collect, analyze, and interpret data to guide business decisions. Upon completion of the course, students will be able to effectively analyze data to identify opportunities for improvement, recognize patterns and trends, and present results clearly and consistently. The Data Science Fundamentals course will provide the skills to: - Understand the fundamentals of data science, including data types, sources, and preparation; - Apply data visualization techniques to clearly and effectively communicate information and results; - Develop proficiency in data analysis tools and techniques, such as machine learning, regression, and clustering; - Recognize and mitigate data quality and integrity issues; - Understand the importance of data governance and ethics in data science; - Design and implement data-driven solutions to solve business problems; - Apply Data Storytelling techniques to effectively communicate Data Science information and results to stakeholders.

The course is aimed at Data Scientists, IT Auditors, IT Managers, Data Quality & Compliance Managers and Administrators, Data Base Administrators, Functional Analysts and Designers, SW Architects

There are no prerequisites to access the course.

The instructors are professional managers with senior experience in designing and implementing multi-sector solutions and technologies for Data Governance, Data Quality Management, and Data Science and Machine Learning applications.

The course fee includes only the electronic documentation supporting the lectures (course slides), but not the study materials described below, which can be purchased separately.

The cost of the materials includes:
– Practice exercises
– Data Science Fundamentals Official Study Guide

11 CPEs valid for maintaining ISACA certifications