Duke University
Python, Bash and SQL Essentials for Data Engineering Specialization
Duke University

Python, Bash and SQL Essentials for Data Engineering Specialization

Launch Your Career in Data Engineering. Master foundational strategies and tools to become proficient in developing data engineering and machine learning solutions

Kennedy Behrman
Noah Gift
Alfredo Deza

Instructors: Kennedy Behrman

Sponsored by BIDAcademy

18,299 already enrolled

Get in-depth knowledge of a subject
4.5

(324 reviews)

Beginner level

Recommended experience

4 months
at 5 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.5

(324 reviews)

Beginner level

Recommended experience

4 months
at 5 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Develop data engineering solutions with a minimal and essential subset of the Python language and the Linux environment

  • Design scripts to connect and query a SQL database using Python

  • Use a scraping library in Python to read, identify and extract data from websites

Details to know

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Taught in English

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  • Develop a deep understanding of key concepts
  • Earn a career certificate from Duke University
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Specialization - 4 course series

Python and Pandas for Data Engineering

Course 151 hours4.6 (222 ratings)

What you'll learn

  • Setup a provisioned Python project environment

  • Use Pandas libraries to read and write data into data structures and files

  • Employ Vim and Visual Studio Code to write Python code

Skills you'll gain

Category: Python Programming
Category: Data Science
Category: Devops Tools
Category: Software Engineering Tools
Category: Development Environment
Category: Data Manipulation
Category: Software Development Tools
Category: Pandas (Python Package)
Category: Data Processing
Category: Computer Programming Tools
Category: Data Analysis
Category: Package and Software Management
Category: Git (Version Control System)
Category: Extract, Transform, Load
Category: Microsoft Development Tools
Category: Scripting Languages
Category: Jupyter
Category: Scripting
Category: Data Engineering
Category: Big Data

Linux and Bash for Data Engineering

Course 265 hours4.6 (121 ratings)

What you'll learn

  • Use Linux tools build data engineering solutions.

  • Develop Bash syntax to configure and control Linux.

Skills you'll gain

Category: Systems Administration
Category: Bash (Scripting Language)
Category: Shell Script
Category: Scripting Languages
Category: Unix
Category: Scripting
Category: Unix Shell
Category: Computing Platforms
Category: Operating Systems
Category: Linux
Category: System Software
Category: Big Data
Category: Data Storage
Category: Command-Line Interface
Category: Linux Administration
Category: Data Engineering
Category: Databases
Category: Linux Commands
Category: Data Processing
Category: Unix Commands

Scripting with Python and SQL for Data Engineering

Course 323 hours4.4 (94 ratings)

What you'll learn

  • Extract data from different sources and map it to Python data structures.

  • Design Scripts to connect and query a SQL database from within Python.

  • Apply scraping techniques to read and extract data from a website.

Skills you'll gain

Category: Database Development
Category: SQL
Category: JSON
Category: Database Management
Category: Relational Databases
Category: Database Management Systems
Category: Database Systems
Category: Query Languages
Category: Data Processing
Category: MySQL
Category: Web Scraping
Category: Data Engineering
Category: Information Management
Category: Scripting
Category: Python Programming
Category: Extract, Transform, Load
Category: Database Software
Category: Databases
Category: Data Import/Export
Category: Scripting Languages

What you'll learn

  • Construct Python Microservices with FastAPI

  • Build a Command-Line Tool in Python using Click

  • Compare multiple ways to set up and use a Jupyter notebook

Skills you'll gain

Category: Amazon Web Services
Category: MLOps (Machine Learning Operations)
Category: AWS SageMaker
Category: Jupyter
Category: Python Programming
Category: Cloud Engineering
Category: Data Processing
Category: Microservices
Category: Cloud Applications
Category: Software Development Tools
Category: Cloud-Native Computing
Category: Devops Tools
Category: Test Engineering
Category: Data Engineering
Category: Containerization
Category: CI/CD
Category: Application Deployment
Category: DevOps
Category: Big Data
Category: Computer Programming

Instructors

Kennedy Behrman
Duke University
7 Courses50,642 learners

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Duke University

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