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 HKUST

18,174 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 (221 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: Computer Programming Tools
Category: Data Analysis
Category: Devops Tools
Category: Data Manipulation
Category: Pandas (Python Package)
Category: Development Environment
Category: Data Processing
Category: Data Science
Category: Software Engineering Tools
Category: Software Development Tools
Category: Scripting Languages
Category: Jupyter
Category: Git (Version Control System)
Category: Microsoft Development Tools
Category: Data Engineering
Category: Scripting
Category: Package and Software Management
Category: Extract, Transform, Load
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: Scripting Languages
Category: Unix
Category: Systems Administration
Category: Unix Shell
Category: Shell Script
Category: Bash (Scripting Language)
Category: Scripting
Category: Linux
Category: Operating Systems
Category: Computing Platforms
Category: Data Engineering
Category: Command-Line Interface
Category: Data Storage
Category: Data Processing
Category: System Software
Category: Big Data
Category: Databases
Category: Linux Administration
Category: Unix Commands
Category: Linux 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: Relational Databases
Category: Database Development
Category: JSON
Category: SQL
Category: Database Management
Category: MySQL
Category: Data Processing
Category: Web Scraping
Category: Query Languages
Category: Database Systems
Category: Database Management Systems
Category: Extract, Transform, Load
Category: Scripting
Category: Python Programming
Category: Databases
Category: Scripting Languages
Category: Database Software
Category: Information Management
Category: Data Engineering
Category: Data Import/Export

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

Instructors

Kennedy Behrman
Duke University
7 Courses50,075 learners

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Duke University

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