Earned a credential demonstrating foundational knowledge of data analytics concepts, methodologies, and applications of data science. Gained a conceptual understanding of data cleaning, refinement, and visualization using IBM Watson Studio, and became familiar with the key tools and programming languages used in the data ecosystem. Developed insight into career opportunities and essential skills for success in the data and analytics domain. 

Completed a course exploring modern data science and analytics practices, methodologies, and tools. Learned how data-driven approaches enhance innovation, decision-making, and customer engagement across industries. The course covered topics such as leveraging data for competitive advantage, fundamentals of machine learning and AI, ethical and societal implications of data use, and strategies for addressing cybersecurity challenges in data applications.