I am an Information Technology student and have to run a full data-analytics workflow for an upcoming assignment. The raw dataset is ready; what I need now is someone who can guide me step by step—cleaning, exploring, visualising, and drawing meaningful conclusions—while making sure I understand each part of the process. You may use Python (Pandas, NumPy, Matplotlib, Seaborn, scikit-learn) or R if that is your stronger toolset; either is fine as long as the code is clearly commented and reproducible. Deliverables I expect: • A well-annotated notebook or script that covers data preparation, exploration, and at least one simple predictive or descriptive model. • A short written summary (1–2 pages) explaining the key insights in plain language I can reference in my report. • A brief online walkthrough or recorded explanation so I can follow the logic and replicate the results later. Turnaround of about one week suits my schedule, but I’m flexible if we stay in close communication. Please let me know which language you prefer and share a sample of similar analytical work you have done.