Day 3 of 30 days of Data Engineering Series

With examples and projects …

Pic credits : alphalogic

Welcome back peeps to Day 3 of Data Engineering!

What’s covered in 30 days of Data Engineering with projects Series till now —

Day 1 : What’s Data Engineering, Why Data Engineering, Data Engineers — ML Engineers — Data Scientists, Purpose and Scope

Day 2 : Complete Python for Data Engineering — Part 1

Day 3 : Complete Advanced Python for Data Engineering — Part 2

Day 4: Techniques to write efficient and Optimized Code

Day 5 : SQL

Day 6 : Advanced SQL

Day 7 : BigQuery and SQL vs NOSQL databases

Day 8 : Advanced Functions

Day 9 : Query Optimizations

Day 10 : MySQL and PostgreSQL

Day 11: Shell scripting and Linux “touch” command

Day 12 : Map Reduce, Data Warehouse, Data Lakes

Day 13: Pandas, Pandas, Data Cleaning and processing, Outlier Detection, Noisy Data, Missing Data, Pandas Functions, Aggregate Functions, Joins

Day 14 : Numpy

Day 15 : Advanced Pandas Techniques