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

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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

19,156 already enrolled

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Get in-depth knowledge of a subject
4.5

(340 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

(340 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 (237 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
Category: Visual Studio Code
Category: Data Analysis
Category: Computer Programming
Category: Data Structure
Category: Programming Principles
Category: Problem Solving
Category: Data Structures
Category: Computer Programming Tools
Category: Vim
Category: Big Data
Category: Python Programming

Linux and Bash for Data Engineering

Course 265 hours4.6 (126 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: Data Management
Category: Computer Programming
Category: DevOps
Category: Linux
Category: Operating Systems
Category: Programming Principles
Category: Database (DBMS)
Category: Computer Programming Tools
Category: Bash (Unix Shell)

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: Web Scraping
Category: Databases
Category: Data Management
Category: Computer Programming
Category: Programming Principles
Category: Database (DBMS)
Category: Computer Programming Tools
Category: Data Structures
Category: MySQL
Category: Python Programming
Category: SQL

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: Command-Line Interface
Category: Computer Programming
Category: Web Application
Category: Cloud-Hosted Notebooks
Category: Jupyter notebooks
Category: Amazon Web Services
Category: Computer Programming Tools
Category: Machine Learning
Category: Python Programming

Instructors

Kennedy Behrman
Duke University
7 Courses53,470 learners

Offered by

Duke University

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