Professional Certificate in Data-Backed Platform Decisions

• Data Analysis for Platform Decisions: Understanding the basics of data analysis and interpretation to make informed platform decisions. • Data Collection Methods: Identifying and implementing effective data collection methods, including surveys, interviews, and user testing. • Data Visualization Techniques: Presenting data in a clear and concise manner using visualization tools and techniques. • Statistical Analysis and Modeling: Applying statistical analysis and modeling techniques to make data-backed platform decisions. • Machine Learning Foundations: Understanding the fundamentals of machine learning and how it can be applied to platform decision making. • Data Ethics and Privacy: Ensuring data is collected and used in an ethical and privacy-conscious manner. • Data Integration and Management: Integrating and managing data from multiple sources to make informed platform decisions. • Data-Backed Decision Making Process: Implementing a data-backed decision making process in a professional setting.

• Data Analysis
• Data Collection Methods
• Data Visualization Techniques
• Statistical Analysis and Modeling
• Machine Learning Foundations
• Data Ethics and Privacy
• Data Integration and Management
• Data-Backed Decision Making Process

Note: The above list is not exhaustive, and the order of the units may vary depending on the specific course curriculum.