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

Included with Coursera Plus

Get in-depth knowledge of a subject

(360 reviews)

Beginner level

Recommended experience

4 months at 5 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject

(360 reviews)

Beginner level

Recommended experience

4 months at 5 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

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

Overview

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
63 practice exercises

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

Specialization - 4 course series

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

Python Programming, Pandas (Python Package), Data Manipulation, Git (Version Control System), Data Analysis Software, Integrated Development Environments, Data Import/Export, Software Development Tools, Virtual Environment, Version Control, Development Environment, NumPy, and Data Structures

What you'll learn

  • Use Linux tools build data engineering solutions.

  • Develop Bash syntax to configure and control Linux.

Skills you'll gain

Linux Commands, Bash (Scripting Language), Shell Script, File Management, Linux, Command-Line Interface, File Systems, Scripting, Data Processing, Unix, Unix Shell, Unix Commands, Data Manipulation, Linux Administration, Remote Access Systems, and Data Management

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

Data Structures, SQL, MySQL, Web Scraping, Python Programming, Data Import/Export, Scripting, JSON, Query Languages, Databases, Spatial Analysis, Data Manipulation, Database Management, and Data Storage Technologies

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

AWS SageMaker, Jupyter, Command-Line Interface, Containerization, Microservices, Test Automation, Cloud Engineering, Development Environment, Application Deployment, Python Programming, Algorithms, Data Pipelines, Virtual Environment, Applied Machine Learning, and Package and Software Management

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Kennedy Behrman
Duke University
7 Courses59,586 learners
Noah Gift
Duke University
40 Courses197,330 learners
Alfredo Deza
Duke University
29 Courses153,903 learners

Offered by

Duke University

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