Python For Data Engineers - Gcp, Azure, And Aws
Published 6/2025
Created by Saidhul Shaik
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 6 Lectures ( 4h 53m ) | Size: 1.37 GB
From Basics to Cloud: Python Essentials for Modern Data Engineers
What you'll learn
Master Python fundamentals including data types, structures, control flow, functions, and object-oriented programming tailored for data engineering use cases.
Work with files and data sources commonly used in data engineering
Write efficient, modular, and scalable code that aligns with real-world data engineering standards and practices.
Learning by doing
Requirements
No prior coding experience is required - this course is beginner-friendly.
Description
Are you aspiring to become a Data Engineer or looking to sharpen your Python skills ? This course is designed to teach you Python programming from the ground up, with a specific focus on real-world data engineering use casesChapter 1: Core Python Data TypesWorking with StringsPython Operators (Arithmetic, Comparison, Logical, etc.)Numbers: Integers and FloatsBoolean Logic in PythonUnderstanding None TypeChapter 2: Built-in Data StructuresLists: Creation, Indexing, and OperationsTuples: Immutable SequencesDictionaries: Key-Value MappingsSets: Unique Collections and OperationsChapter 3: Programming Constructs in PythonConditional Statements: if, elif, elseLooping: for and while LoopsException Handling: try, except, finallyFile Handling: Reading and Writing FilesChapter 4: Modular and OOP in PythonCreating and Using FunctionsWriting Reusable Code with FunctionsIntroduction to Object-Oriented ProgrammingCreating Classes and ObjectsWhat Makes This Course Unique?Tailored specifically for Data Engineers working in cloud platforms.Hands-on examples with real data formats like CSV, JSON, and log files.Practical coding exercises aligned with cloud data services like BigQuery, S3, Azure Blob Storage, and more.Builds a strong foundation for future work in ETL, Data Lakes, Data Warehouses, and workflow orchestration.covering from basics to advanced for ease
Who this course is for
Anyone who want to learn and master Python fundamentals
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