GROUP FOR PROGRAMMERSπŸ–₯
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Few weeks ago a couple of you asked me about data engineering course. I said that I will ask senior data engineer of company I am working for and get back with answers. Unfortunately all courses he shared were paid ones, so I tried finding free ones myself (with help of my friend who already prepared many courses for you).

I found many courses and books and I will share all of them later, tomorrow or maybe next weekend, but here i wanted to share just one course (actually one complete IBM specialization containing 13 courses) from Coursera first and show you how to enroll to it for free.

IBM Data Engineering Professional Certificate
Launch your new career in Data Engineering. Master SQL, RDBMS, ETL, Data Warehousing, NoSQL, Big Data and Spark with hands-on job-ready skills.

There are 13 courses in this program

Course 1: Introduction to Data Engineering
Course 2: Python for Data Science, AI & Development
Course 3: Python Project for Data Engineering
Course 4: Introduction to Relational Databases (RDBMS)
Course 5: Databases and SQL for Data Science with Python
Course 6: Hands-on Introduction to Linux Commands and Shell Scripting
Course 7: Relational Database Administration (DBA)
Course 8: ETL and Data Pipelines with Shell, Airflow and Kafka
Course 9: Getting Started with Data Warehousing and BI Analytics
Course 10: Introduction to NoSQL Databases
Course 11: Introduction to Big Data with Spark and Hadoop
Course 12: Data Engineering and Machine Learning using Spark
Course 13: Data Engineering Capstone Project

These courses are paid but you can enroll to any of these courses for free just by clicking to audit this course. I will share image in this post comment so you can find audit more easily.

PS. Please let me know with reactions and in comments if this post is helpful. This channel takes me lots of energy and even money (yes you read it right - i do pay people to help me find courses) so your reaction is what will help me decide if this fight to help people is actually worth it or not...

#data_engineering #spark #hadoop #nosql #bigdata #linux #databases #rdbms #IBM #coursera #kafka
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π—˜π—‘π—π—’π—¬ π—Ÿπ—˜π—”π—₯π—‘π—œπ—‘π—šπŸ‘πŸ‘
Data Engineering free courses

Data Engineering Full Hands-on Course
🎬 7 video lessons
πŸƒβ€β™‚οΈ Self paced
Duration ⏰:  1-2 hours worth of material
Source:  The AI University
πŸ”— Course Link 
      
Data Engineer: Prepare Financial Data for ML and Backtesting
Rating ⭐️: 4.6 out of 5     
Students πŸ‘¨β€πŸŽ“: 2,643
Duration ⏰:  1hr 24min of on-demand video
Created by Shaun McDonogh
πŸ”— Course Link   

Linked Data Engineering
🎬 Video Lessons
Rating ⭐️: 5 out of 5     
Students πŸ‘¨β€πŸŽ“: 9,973
Duration ⏰:  8 weeks long
Source: openHPI
πŸ”— Course Link  

Data Engineering
Credits ⏳: 15
Duration ⏰: 4 hours
πŸƒβ€β™‚οΈ Self paced       
Source:  Google cloud
πŸ”— Course Link

Data Engineering Essentials using Spark, Python and SQL  
🎬 402 video lesson
πŸƒβ€β™‚οΈ Self paced
Teacher: itversity
Resource: Youtube
πŸ”— Course Link  
 
Data engineering with Azure Databricks      
Modules ⏳: 5
Duration ⏰:  4-5 hours worth of material
πŸƒβ€β™‚οΈ Self paced       
Source:  Microsoft ignite
πŸ”— Course Link

Perform data engineering with Azure Synapse Apache Spark Pools      
Modules ⏳: 5
Duration ⏰:  2-3 hours worth of material
πŸƒβ€β™‚οΈ Self paced       
Source:  Microsoft Learn
πŸ”— Course Link

Books
Data Engineering Cookbook
Big Book of Data Engineering
Data Engineering
The Data Engineers Guide to Apache Spark


#Data_Engineering
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π—˜π—‘π—π—’π—¬ π—Ÿπ—˜π—”π—₯π—‘π—œπ—‘π—šπŸ‘πŸ‘