Designed for individuals with a background in data science, data analytics, or equivalent professional experience, this course helps learners advance their technical and analytical skills while building a job-ready portfolio. Participants will apply Python, statistical methods, and AI tools to solve real-world problems, make data-driven decisions, and demonstrate responsible AI practices. Ideal for early-career data professionals looking to advance their careers, strengthen their analytical judgment, and gain a competitive edge in today's data-driven workforce. Prerequisites: Data Analytics Practitioner (ITI469) or knowledge of Python, descriptive statistics, data analytics principles, basic experience using Power BI or Tableau, and basic knowledge of SQL.