This course focuses on enhancing your skills in data analysis using the Pandas library, providing a practical way to check your knowledge through multiple choice questions. By tackling various topics, from basic data manipulation to advanced time-series analysis, you'll strengthen your understanding and learn to approach complex datasets with confidence. It's ideal for anyone preparing for technical interviews or certification exams in the data science field, as detailed explanations accompany each question to clarify the reasoning behind the solutions.
What you'll learn
understanding of basic data ingestion
skills in Series manipulation
ability to conduct advanced time-series analysis
knowledge of hierarchical indexing
proficiency in data cleaning and merging
capability in filtering and aggregation techniques
experience in handling missing data and complex boolean indexing
Course objectives
to improve problem-solving speed
to simulate a professional coding assessment environment