I want to turn my rough notes on data analysis—covering Excel, Python, and Power BI—into a polished instructional manual delivered as a ready-to-share PDF. The core of the document should be a series of clear, concise step-by-step guides that walk readers from raw data collection through cleaning, exploration, visualization, and basic predictive modeling. Here is what I’m looking for: • Copywriting that explains each tool and concept in plain language while still sounding professional. • Logical chapter flow, headings, and sub-headings for quick reference. • Clean page layout optimized for on-screen reading and easy printing. • Built-in navigational features such as an interactive table of contents and clickable cross-references. Although step-by-step guides are the must-have element, feel free to suggest diagrams or call-out boxes wherever they would genuinely clarify a process. I will supply topic outlines, sample datasets, and screenshots. You will refine the wording, structure the content, and produce the final PDF using the design software of your choice (InDesign, Affinity, Canva, or equivalent). Please include one round of revisions so we can fine-tune language and formatting before final delivery. If your background blends data analysis with strong instructional writing and document design, I’m eager to collaborate.