Data Processing and Greedy Algorithms with Python and Spreadsheets

Managing and processing structured datasets requires a strong grasp of data analysis techniques, sorting logic, and algorithmic strategies. This course guides you through foundational logic and practical methods for solving data selection and resource allocation problems using both spreadsheet tools and written Python code. Key skills covered: Understand core concepts of data structures, array sorting, and greedy algorithms. Parse text files and organize tabular data effectively. Apply sorting and filtering functions in spreadsheets to extract key metrics. Write clear Python scripts using list manipulations and file handling to automate calculations. Solve scheduling and optimal selection challenges through structured problem-solving steps. Validate solutions by comparing spreadsheet results against Python code outputs. Beginning with essential terminology and data manipulation definitions, the text-based course guides you through spreadsheet methods before advancing to programmatic Python scripts. This course is designed for beginners looking to master foundational data processing skills, with no prior advanced programming needed. Start reading today to master data processing and algorithmic problem-solving.