The Complete Guide to Data Preparation for Analysis.

Format:

Video

Language:

English

Physical Description:

1 online resource (226 minutes)

Place of Publication:

[Place of publication not identified] : PACKT Publishing, 2025.

Language Note:

In English.

System Details:

video file

Summary:

<b>Unlock the essential skills in data preparation. This comprehensive course covers data collection frameworks, survey design, standardization, and cleaning techniques. Learn practical skills to enhance data analysis proficiency</b><h4>Key Features</h4><ul><li>In-depth exploration of data collection frameworks</li><li>Practical techniques for effective survey design</li><li>Comprehensive data cleaning and standardization methods</li></ul><h4>Book Description</h4>Data preparation is a fundamental process in any data analysis project, and this course provides you with a complete framework for success. The journey starts by exploring essential data collection techniques, including mobile and web analytics, centralized logging, and real-time data streaming. You'll dive deep into survey design, where you'll learn how to create impactful surveys and structure effective questions using tools like ChatGPT and Google Forms. As you move forward, the course will guide you through the intricate process of data standardization. You’ll master frameworks like data wrangling, cleaning, and transformation, all while learning how to align your datasets with industry standards. Understanding how to handle missing data, duplicates, and outliers will be crucial in preparing accurate and actionable datasets. In the final segments, you'll work with data cleaning techniques that ensure the quality and integrity of your datasets. Whether it’s profiling, normalization, or error correction, you'll learn the right tools and methods to enhance your data for optimal analysis. By the end of this course, you'll be ready to handle any data preparation task with confidence and precision.<h4>What you will learn</h4><ul><li>Learn data collection frameworks for real-time analytics</li><li>Design surveys using effective question structures and tools</li><li>Master data wrangling and transformation techniques</li><li>Implement data standardization frameworks for consistency</li><li>Clean and preprocess data by handling missing values and outliers</li><li>Apply advanced data cleaning techniques to improve dataset quality</li></ul><h4>Who this book is for</h4>This course is for aspiring and experienced data professionals, analysts, and business intelligence developers. Prior knowledge of basic data handling or analysis will be helpful but is not mandatory.

Notes:

Title from resource description page (viewed July 20, 2026).