The Complete Guide to Data Preparation for Analysis

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this comprehensive course, you'll dive into essential frameworks and techniques for data preparation, exploring everything from data collection to cleaning. You’ll discover how to apply frameworks for mobile, web, and real-time data streaming, as well as cloud-based systems to collect and analyze data efficiently. The course offers in-depth exploration into survey design and data standardization, ensuring that you understand both the theory and practical applications of these concepts. The journey through this course begins with foundational knowledge, advancing through frameworks for collecting and standardizing data. You'll also work on hands-on projects that involve creating survey questions, administering surveys, and applying various cleaning techniques to real-world datasets. As you progress, the course builds on each module to ensure a smooth and comprehensive learning experience. This course is ideal for data professionals, analysts, or anyone involved in data analysis and preparation. A background in data science or information technology would be helpful but is not mandatory. The course is designed to be approachable while still providing deep, advanced insights into data preparation. By the end of the course, you will be able to effectively collect, standardize, clean, and prepare data for analysis using various frameworks and tools, ensuring the highest data quality and integrity.