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Data Engineer

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Overview

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A data engineer builds the pipelines to connect data input to analysis. Includes **Python 3**, **SQL**, **pandas**, **PySpark**, **Git**, **MongoDB**, and more.

Syllabus

  • Welcome to the Data Engineer Career Path
    • Discover what you will learn on your journey to becoming a Data Engineer!
  • Python Fundamentals for Data Engineers
    • Learn the fundamentals of Python, and build your data engineering foundation.
  • SQL Fundamentals for Data Engineers
    • Learn how to create, manage, and protect relational databases with SQL.
  • Python Pandas for Data Engineers
    • Learn the basics of Pandas, an industry standard Python library that provides tools for data manipulation and analysis.
  • Advanced SQL for Data Engineers
    • Keep building your SQL skills with advanced techniques and hands-on practice.
  • Data Wrangling, Cleaning, and Tidying
    • Clean, well-structured data is essential to data science but cleaning data requires both a keen eye and technical skills. Develop both here!
  • Getting Started Off-Platform for Data Engineers
    • Learn how to do data engineering projects on your own computer locally!
  • Data Management Portfolio Project
    • Put your data management skills to work in this portfolio project
  • Introduction to Big Data with PySpark
    • Learn how to work with big data using PySpark!
  • Intermediate Python for Data Engineers
    • Dive deeper into Python 3, an essential skill for Data Engineers!
  • Learn the Command Line
    • Discover the power of this simple yet essential text-based tool and increase your productivity as a developer.
  • Advanced Python for Data Engineers
    • Learn advanced topics in Python 3 and improve your developer skills!
  • Data Pipeline Portfolio Project
    • Build a data pipeline portfolio project
  • Learn Git: Introduction to Version Control
    • If you've ever named a file "-final", "-final-final", etc., then you've already faced the problems that git and github solve.
  • Learn Git II: Git for Deployment
    • Build your collaboration and version control skills even further with branching, markdown, teamwork, and deploying websites.
  • GitHub Portfolio Project
    • Build your Data Engineering portfolio on GitHub
  • Learn MongoDB
    • Learn how to work with NoSQL databases and run basic CRUD operations in this introduction to MongoDB.

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