In this course, I learned how to analyze data using the 5 phases of the Data Science methodology. These phases guide the process of transforming raw data into actionable insights, enabling better decision-making. Various tools were used throughout this methodology, including Microsoft Excel, Google Colab, Jupyter Notebook, MySQL, and Microsoft Power BI, using Python and SQL programming languages. The 5 phases of the Data Science methodology are as follows: 1. Defining the Problem: Identify objectives and formulate business questions. 2. Data Collection: Gather data from identified sources to address the problem. 3. Data Exploration & Preparation: Clean and organize data, producing a ready-to-use dataset. 4. Data Processing & Analysis: Use algorithms and tools to derive insights. 5. Storytelling (Visualization): Present insights with visuals and narratives for stakeholders.

Skills: Veterinary Nursing · Veterinary Medicine