JSON and Natural Language Processing in PostgreSQL
Learn to build PostgreSQL search engines using JSON and natural language processing (NLP), and level up your programming career.
Duration
4 weeksWeekly study
2 hours
JSON and Natural Language Processing in PostgreSQL
Other courses you might like
This course isn't running right now. We can email you when it starts again, or check out these other courses you might like.
Browse more in IT & Computer Science
Create strong indexes and PostgreSQL search engines with ease
If you have a background in basic Python programming language structures, this four-week course on JSON and NLP in PostgreSQL is for you.
Presented by the University of Michigan as part of their series on PostgreSQL and Python, the material will explain how full-text inverted indexes are structured and how PostgreSQL creates and uses these indexes for JSON and natural language content.
By the end, you’ll be able to build and support your own PostgreSQL database management system.
Explore JSON, Python, and PostgreSQL principles
The course starts with a comparison of Python programming language, PostgreSQL, and JSON. You’ll see how they relate to each other, and how they are all important in successful NLP.
You’ll also learn how to index and retrieve natural language text and JSON data, and how to access API data and store it in a database.
Use PostgreSQL to build your own index
After gaining a solid theoretical foundation in how NLP works, you’ll have the chance to apply the principles that you’ve learnt.
Using various data sources including an online API, you’ll create a GIN-based text reverse index and ts_vector index, build a search engine in PostgreSQL, and then use built-in PostgreSQL capabilities to support your indexes.
Learn programming from a world-renowned institution
The University of Michigan has a record of more than two centuries of academic excellence, and will support you on every step of this well-designed course.
The engaging and practical training material equips you to create different indexes, build search engines, and take your programming career to the next level.
Syllabus
Week 1
Natural Language
Welcome
Welcome to the course!
Lectures
Getting started with working with text and JSON data.
Assignments
Assignment content for week 1.
Week Wrap-up
Wrapping up the week.
Week 2
Inverted Indexes with PostgreSQL
Lectures
Getting started with inverted indexes in PostgreSQL.
Assignments
Assignment content for week 2.
Week Wrap-up
Wrapping up the week.
Week 3
Python and PostgreSQL
Lectures
Learning about connecting and using Python and PostgreSQL together.
Assignments
Assignment content for week 3.
Week Wrap-up
Wrapping up the week.
Week 4
JSON and PostgreSQL
Lectures
This week introduces working with JSON and PostgreSQL and how JSON's functions interact.
Assignments
Assignment content for week 4.
Week Wrap-up
Wrapping up the week.
Wrap Up
Wrapping up this course
Learning on this course
On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
What will you achieve?
By the end of the course, you‘ll be able to...
- Compare Python, PostgreSQL, and JSON
- Classify and retrieve natural language text and JSON data, and access API data and store it in a database
- Create a GIN-based text[] reverse index and ts_vector index, and build a search engine in PostgreSQL
Who is the course for?
This course is designed for programmers with a background in basic Python, who would like to develop their PostgreSQL skills.
Who will you learn with?
Charles is a Clinical Professor and teaches in the School of Information at the University of Michigan. He is the Chair of the Sakai Project Management Committee (PMC).
Who developed the course?
University of Michigan
As the #1 public research university in the United States, U-M has been a leader in research, learning, and teaching for more than 200 years, with 102 Grad programs in the top 10 — U.S. News & World Report (2019).
Established
1817Location
Ann Arbor, Michigan, USAWorld ranking
Top 30Source: Times Higher Education World University Rankings 2020
Learning on FutureLearn
Your learning, your rules
- Courses are split into weeks, activities, and steps to help you keep track of your learning
- Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
- Stay motivated by using the Progress page to keep track of your step completion and assessment scores
Join a global classroom
- Experience the power of social learning, and get inspired by an international network of learners
- Share ideas with your peers and course educators on every step of the course
- Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others
Map your progress
- As you work through the course, use notifications and the Progress page to guide your learning
- Whenever you’re ready, mark each step as complete, you’re in control
- Complete 90% of course steps and all of the assessments to earn your certificate
Want to know more about learning on FutureLearn? Using FutureLearn