Learning Python & SQL Essentials for Data, AI/ML

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Free Download Python & SQL Essentials for Data, AI/ML
Published 11/2025
Created by Soumyadeep Dey
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 54 Lectures ( 13h 18m ) | Size: 4 GB

Python & SQL for Data Engineers, ML Engineers & AI Engineers
What you'll learn
Aspiring Data Engineers & Architects, DBA, Solutions Architect, Technical Managers, Managers, Developers, Data Scientist, Big Data
End-to-end Python for Data Engineering
SQL Programming Basic to Advanced
Essentials for Data Engineering, ML Engineering & AI Engineering
Requirements
No Prerequisites. Whoever is interested to become Data Engineer, ML Engineer, AI Engineer, Data Architect or AI Architect can take this course
Description
Which are the top programming languages that comes to your mind when you think of Data, AI/ML. I think you know the answer.Python - Python has come a long way from being a backbencher in the programming world to a topper in today's emerging Data and AI world. Python has lion's share of footprint in Data Engineering and AI/ML. Any AI or ML library that you can think of is from Python. Same is the case with Data Engineering also. Python has taken so much of centerstage that PySpark is the top focus for Spark workloads, so much so that Spark community is trying to make Spark run faster on PySpark than Scala.SQL - SQL is the language that deals with everything that is data. Spark, which is the numero uno distributed data processing framework, uses SQL construct for batch and stream processing. In this course, I will teach Python and SQL that is needed for you to be ready for Data and AI/ML workloads. You will get to from Python basics like data types, functions to advanced topics like Memory Management, Multi-threading, Object Oriented Programming (as much needed for Data Engineering and AI/ML).In SQL you will get to know CASE, COALESCE, CTE (Common Table Expression), MERGE, WINDOW functions etc. These are very essential to work on Data Engineering (Spark - both Batch & Streaming).I will be adding Python NumPy and Pandas in future.
Who this course is for
Aspiring Data Engineers & Architects, DBA, Solutions Architect, Technical Managers, Managers, Developers, Data Scientist, Big Data
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