Python Data Science: Data Prep & EDA with Python

This comprehensive training program by Maven Analytics focuses on the critical, often underappreciated phases of the data science lifecycle: data preparation and exploratory data analysis (EDA). Before diving into complex machine learning models, data professionals must master the art of cleaning, structuring, and understanding their data. This course equips learners with the practical skills needed to import and export diverse datasets from flat files, Excel workbooks, and SQL databases using Python's powerful Pandas library. Students will dive deep into handling missing values, converting data types, resolving inconsistencies, and engineering new features. Through hands-on exercises, learners will perform robust EDA, leveraging sorting, filtering, grouping, and visualization techniques to uncover hidden patterns and drive business decisions. Whether you are an aspiring data scientist, a business analyst looking to transition to Python, or a database professional aiming to enhance your analytical workflows, this course provides a structured path to mastering data prep. By the end of this journey, you will confidently transform raw, messy data into high-quality, model-ready datasets, laying a solid foundation for any advanced machine learning or statistical analysis project.