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 Coursera for Reliance Family

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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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: Data Analysis
Category: Data Science
Category: Pandas (Python Package)
Category: Data Manipulation
Category: Computer Programming Tools
Category: Devops Tools
Category: Data Processing
Category: Software Development Tools
Category: Development Environment
Category: Software Engineering Tools
Category: Scripting Languages
Category: Extract, Transform, Load
Category: Data Engineering
Category: Microsoft Development Tools
Category: Git (Version Control System)
Category: Jupyter
Category: Big Data
Category: Scripting
Category: Package and Software Management

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
Category: Bash (Scripting Language)
Category: Scripting Languages
Category: Unix
Category: Systems Administration
Category: Unix Shell
Category: Shell Script
Category: Linux
Category: Operating Systems
Category: Computing Platforms
Category: Data Processing
Category: Databases
Category: Command-Line Interface
Category: Data Storage
Category: Linux Commands
Category: Big Data
Category: Data Engineering
Category: System Software
Category: Linux Administration
Category: Unix 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: Database Development
Category: JSON
Category: Database Management
Category: Relational Databases
Category: SQL
Category: MySQL
Category: Database Management Systems
Category: Web Scraping
Category: Data Processing
Category: Database Systems
Category: Query Languages
Category: Information Management
Category: Extract, Transform, Load
Category: Scripting Languages
Category: Databases
Category: Database Software
Category: Python Programming
Category: Scripting
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: MLOps (Machine Learning Operations)
Category: Amazon Web Services
Category: Cloud Applications
Category: Cloud-Native Computing
Category: Jupyter
Category: Devops Tools
Category: Data Processing
Category: Cloud Engineering
Category: Microservices
Category: Python Programming
Category: Software Development Tools
Category: Application Deployment
Category: Containerization
Category: Computer Programming
Category: Data Engineering
Category: Test Engineering
Category: DevOps
Category: Big Data
Category: CI/CD

Instructors

Kennedy Behrman
Duke University
7 Courses50,075 learners

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Duke University

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