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

Access provided by New York State Department of Labor

18,951 already enrolled

Get in-depth knowledge of a subject
4.5

(338 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

(338 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

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 (236 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: Data Manipulation
Category: Git (Version Control System)
Category: Development Environment
Category: Virtual Environment
Category: Version Control
Category: Integrated Development Environments
Category: NumPy
Category: Data Structures

Linux and Bash for Data Engineering

Course 265 hours4.6 (125 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: Bash (Scripting Language)
Category: File Management
Category: Linux Commands
Category: Shell Script
Category: Command-Line Interface
Category: Linux
Category: OS Process Management
Category: File Systems
Category: Remote Access Systems
Category: Linux Administration
Category: Unix Shell
Category: Scripting
Category: Data Manipulation
Category: Development Environment
Category: System Configuration

Scripting with Python and SQL for Data Engineering

Course 323 hours4.3 (100 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: JSON
Category: SQL
Category: Scripting
Category: Data Structures
Category: Data Import/Export
Category: Web Scraping
Category: Data Storage Technologies
Category: MySQL
Category: Python Programming
Category: Databases
Category: Database Management
Category: Database Software
Category: Data Manipulation
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: Containerization
Category: Microservices
Category: Command-Line Interface
Category: Test Tools
Category: Python Programming
Category: Cloud Engineering
Category: Data Pipelines
Category: Unix Commands
Category: Algorithms
Category: Application Deployment
Category: Applied Machine Learning

Instructors

Kennedy Behrman
Duke University
7 Courses52,699 learners

Offered by

Duke University

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