Data Engineer with Python Career Track
Complete data engineering career track
A comprehensive DataCamp career track covering data engineering with Python. Includes data engineering fundamentals, ETL pipelines, relational databases, Apache Spark, data warehousing, and real-world projects. Free on Archive.org.
Data ScienceFreebeginner40 hours
Submitted by @yahianaimRoadmap (6 steps)
1
Data Engineering for Everyone
4 hours#Data Engineering Overview#Data Pipelines#ETL vs ELT#Role of Data Engineer
2
Python for Data Engineering
8 hours#Python Basics#Data Manipulation#Pandas#File I/O & APIs
3
Relational Databases & SQL
8 hours#SQL Queries#Database Design#PostgreSQL#Window Functions
4
ETL & Data Pipelines
8 hours#ETL Design#Data Cleaning#Apache Airflow#Pipeline Orchestration
5
Big Data with Spark
6 hours#Apache Spark#PySpark#RDDs & DataFrames#Cluster Computing
6
Data Warehousing & Capstone
6 hours#Data Warehousing#Schema Design#Cloud Platforms#End-to-End Pipeline