I am a recent graduate and want a structured skill-development course that takes me from absolute beginner to confident practitioner in data analysis. The program should combine theory with plenty of hands-on practice so I can start applying what I learn right away. What I expect • A clear learning path that begins with fundamental concepts (data types, basic statistics, exploratory analysis) and steadily introduces more advanced topics. • Practical exercises and mini-projects using widely adopted tools such as Excel, SQL and Python (Pandas, NumPy, Matplotlib or similar), so I can build a small portfolio along the way. • Short quizzes or checkpoints after each module to confirm I have grasped the material. • Real-world datasets for practice plus guidance on where to find additional open data. • Live or recorded walkthroughs that explain your workflow step-by-step—screen-sharing or annotated notebooks are fine. • Feedback on my project submissions, highlighting both strengths and areas to improve. Acceptance criteria • A complete syllabus delivered at the start, outlining modules, objectives and estimated study hours. • At least three hands-on projects with graded feedback. • Final assessment that demonstrates I can import, clean, explore and summarize a dataset, then present insights clearly. • All teaching materials (slides, notebooks, data files) provided in downloadable format. Please let me know your proposed timeline, preferred teaching tools, and any examples of similar courses or mentoring you have done.