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Data Engineering with Polars in Python - OneDDL - 12-04-2023 Free Download Data Engineering with Polars in Python Published 12/2023 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 44m | Size: Transform and Manipulate Data What you'll learn Wrangle Data Like a Pro Master the Basics of Polars Perform Aggregation Functions on Tabular Data Extract, Transform, and Manipulate Data Requirements No prior experience necessary Description Whether you're looking to launch a career in data engineering or aiming to enhance your existing data manipulation skills, this course offers a comprehensive toolkit for success in today's data-driven landscape. This course is meticulously crafted to provide you with an in-depth understanding of data engineering using Polars, a blazingly fast DataFrame library for Python that empowers you to handle large datasets effortlessly. Data Extraction Dive into the world of data by learning how to extract data from various sources, including databases, CSV files, and APIs. Discover the art of handling different data formats and structures, ensuring data integrity and completeness. Data Transformation Master the art of data transformation as you explore techniques to clean, reshape, and restructure raw data into a usable format. Learn to handle missing values, perform data imputation, and apply advanced transformation operations to make your data analysis-ready. Data Analysis Unleash the full potential of the Polars library as you delve into its powerful capabilities for data manipulation. From filtering and aggregating to joining and grouping, you'll learn how to perform complex operations with incredible speed and efficiency. Real-World Scenarios Make your learning experience applicable using real world scenarios that simulate the challenges data engineers face daily. We've carefully crafted our lectures to help you conquer essential data engineering tasks. You'll gain job ready skills and knowledge on how to address common data problems. Who this course is for Data Engineers looking to Expand Their Toolkit Data Cleaning Professionals Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live No Password - Links are Interchangeable |