Data Handling and Preprocessing with Python and SQL

Are you struggling with raw, incomplete, or scattered data that hinders your analysis? This course will equip you with the essential skills to tackle real-world data challenges. You will gain the ability to transform raw data into a usable format, making your analytical insights accurate and reliable. What you'll learn: * Understand fundamental data input and output concepts for various data formats. * Apply Python libraries like Pandas to read, write, and manipulate structured data. * Extract information from web pages using libraries like Beautiful Soup and implement ethical data scraping practices. * Connect to APIs, process JSON responses, and manage unstructured text data. * Write SQL queries to access, filter, and join data from relational databases. * Implement basic data cleaning techniques to handle missing values and inconsistencies. This course provides a foundational understanding of data ingestion and preparation workflows, starting with core principles and progressing to practical application. It is designed for beginners with no prior experience in data preprocessing or SQL. Begin your journey to mastering data preparation today.