In today’s digitally enhanced education system, data has emerged as a powerful enabler in improving teaching and learning processes. With widespread use of learning management systems, online assessments, and digital classroom tools, educators have access to valuable information on student learning, participation, and progress. As educational institutions increasingly adopt data-supported decision-making practices, teachers are expected to interpret and use this information effectively to enhance academic outcomes. This SWAYAM course, Digital Pedagogy Meets Data: Visualization Skills for Educators, is designed to build the professional capacity of teachers, faculty members, and academic leaders in understanding and applying data visualization within the teaching–learning process. The course focuses on how visual representations—such as charts, dashboards, heat maps, and infographics—can help identify patterns in student performance, classroom engagement, attendance trends, learning gaps, and behavioural indicators. These insights support educators in designing evidence-based instructional strategies, monitoring progress, and communicating outcomes clearly to students, parents, and administrators. Learners will work with a variety of free and school-friendly data visualization tools suited for Indian educational contexts. These include Google Sheets, Canva (Education Edition), Datawrapper, and Flourish, which allow educators to create simple yet effective visuals without coding experience. The course also introduces participants to advanced open-access platforms such as Tableau Public and Microsoft Power BI (free desktop version), enabling deeper exploration and dashboard development. In line with NEP 2020 and global digital education priorities, this course equips educators to adopt data-informed teaching practices and integrate visualization effectively into their pedagogy. Participants will learn to interpret classroom and institutional data and use visual insights to enhance planning, engagement, and outcome-based reporting. Throughout the course, learners will engage in practical demonstrations, downloadable datasets, hands-on exercises, peer interactions, and application-based tasks. Each module is structured to help participants interpret data meaningfully, design visuals for varied educational contexts, and integrate visualization techniques into everyday teaching and decision-making. This course is highly relevant for school teachers, college faculty members, teacher educators, administrators, and all stakeholders interested in integrating digital pedagogy with data-supported academic processes. As education moves toward a more visual and data-driven future, this SWAYAM course equips learners with the essential skills to lead this transformation.