Data Processing Fundamentals - Extended Filtering with Multiple Datasets
Offered By: Prodramp via YouTube
Course Description
Overview
Learn advanced data processing techniques in Python with this comprehensive video tutorial. Explore extended filtering methods using multiple datasets, including filtering by category and object support. Master result validation, code optimization to avoid duplication, and inline coding practices. Gain hands-on experience with practical examples and access accompanying GitHub resources. Part of a larger series on data processing fundamentals, this tutorial builds on previous lessons and prepares you for more advanced topics in subsequent videos.
Syllabus
- Video Starts
- What is covered?
- Filter data by Category
- Filter Result Validation
- Handling Multiple Datasets
- Filter by Object Support
- Avoid Code Duplication
- Adding Inline Code
- GitHub Resources
Taught by
Prodramp
Related Courses
Excel 2010Miríadax Intro to Data Science
Udacity Data Manipulation at Scale: Systems and Algorithms
University of Washington via Coursera Statistical Computing with R - a gentle introduction
University College London via Independent Introducción a Data Science: Programación Estadística con R
Universidad Nacional Autónoma de México via Coursera