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

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Get in-depth knowledge of a subject
4.5

(342 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

(342 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

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Taught in English

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • 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 (239 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: Pandas (Python Package)
Category: Python Programming
Category: Git (Version Control System)
Category: Data Manipulation
Category: Data Structures
Category: NumPy
Category: Integrated Development Environments
Category: Virtual Environment
Category: Version Control
Category: Development Environment

Linux and Bash for Data Engineering

Course 265 hours4.6 (127 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: Linux Commands
Category: Bash (Scripting Language)
Category: Shell Script
Category: File Management
Category: Command-Line Interface
Category: Linux
Category: OS Process Management
Category: Remote Access Systems
Category: Unix Shell
Category: Scripting
Category: System Configuration
Category: File Systems
Category: Linux Administration
Category: Development Environment
Category: Data Manipulation

Scripting with Python and SQL for Data Engineering

Course 323 hours4.4 (101 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: Data Structures
Category: Scripting
Category: SQL
Category: JSON
Category: Python Programming
Category: Web Scraping
Category: Data Import/Export
Category: Databases
Category: MySQL
Category: Data Storage Technologies
Category: Database Management
Category: Data Manipulation
Category: Database Software
Category: Spatial Analysis

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: Jupyter
Category: Package and Software Management
Category: Microservices
Category: Command-Line Interface
Category: Containerization
Category: Test Automation
Category: Python Programming
Category: Cloud Engineering
Category: Data Pipelines
Category: Development Environment
Category: Applied Machine Learning

Instructors

Kennedy Behrman
Duke University
7 Courses53,930 learners

Offered by

Duke University

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