Day 13 of 30 days of Data Engineering Series with Projects

Pic credits :TC

Welcome back peeps to Day 13 of Data Engineering Series with Projects!

In this we will cover —

Pandas

Data Cleaning and processing

Outlier Detection

Noisy Data

Missing Data

Pandas Functions

Aggregate Functions

Joins

Pre-requisite to Day 12 is to complete Day 1–11( link below):

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”…