Course Overview
                                                                
                                                                 What You Will Learn
                                
                                                                        
                                        
                                        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.
                                    
                                                                     
                                
                                                                 Who Should Attend
                                
                                    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
                                 
                                
                                                                 Prerequisites
                                
                                    There are no prerequisites to access the course.