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

17,416 already enrolled

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4.5

(313 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

(313 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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Specialization - 4 course series

Python and Pandas for Data Engineering

Course 151 hours4.6 (213 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: Data Structure
Category: Vim
Category: Python Programming
Category: Visual Studio Code
Category: Pandas

Linux and Bash for Data Engineering

Course 265 hours4.6 (115 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 (Unix Shell)
Category: Database (DBMS)
Category: Data Management
Category: Linux

Scripting with Python and SQL for Data Engineering

Course 323 hours4.4 (91 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: Python Programming
Category: Database (DBMS)
Category: SQL
Category: Web Scraping
Category: MySQL

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: Python Programming
Category: Cloud-Hosted Notebooks
Category: Command-Line Interface
Category: Web Application
Category: Jupyter notebooks

Instructors

Kennedy Behrman
Duke University
7 Courses47,033 learners

Offered by

Duke University

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