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NATURAL LANGUAGE PROCESSING AND UNSUPERVISED LEARNING COURSE

Leverage NLP Techniques in the Real World

In this live online Short Immersive Course for Natural Language Processing (NLP) and Unsupervised Learning from Metis, you’ll understand and apply topics like dimensionality reduction, recommendation systems, and clustering in just two weeks. 

ENROLL NOW

Upcoming Program Dates

May 17 - May 28

11am - 6pm ET

Next Start | Enroll

Jun 14 - Jun 25

11am - 6pm ET

Open | Enroll

Jul 12 - Jul 23

11am - 6pm ET

Open | Enroll

Questions?
Schedule a Call

Upskill in NLP in Just Two Weeks

Natural language processing is a valuable skill that employers will rely on more and more as text data sources become more prevalent. Get ahead of the curve and build NLP skills quickly in our immersive online course.

Learn from
World-Class Data
Scientists

Learn from industry-seasoned practitioners who meet our high bar of instructional excellence.

Create a Professional
Project

Metis students are required to design and complete a project to showcase your ability to apply your knowledge.

Learn Skills Fast with
In-Depth Classes

You’ll pick up valuable skills quickly in our immersive daily classes over two consecutive weeks.

Connect with Other
Data Professionals

This course teaches more than skill-building. You’ll join an extensive community of data science professionals.

NLP Course at a Glance

NLP AND UNSUPERVISED LEARNING COURSE

Week 1

Natural Language Processing and Unsupervised Learning Basics

We’ll start with the basics. Week one is about getting acquainted with natural language processing, dimensionality reduction, and recommendation systems. We’ll also cover basic clustering techniques.

Week 2

Natural Language Processing and Unsupervised Learning Advanced

In week two, we’ll dive deeper into clustering algorithms and advanced natural language processing techniques. At the end of the course, you’ll complete a final assessment.

PROJECT

For your project, you’ll use natural language processing algorithms to perform text data analysis. You’ll apply different techniques for dimensionality reduction like Principal Component Analysis, and use topic models, and clustering algorithms such as K-means.

What's Covered

  • Foundational techniques in the quantification of text data including tokenization, vectorization, and the document-term matrix
  • How to properly clean and pre-process text data for quantitative analysis
  • The ways to describe and differentiate key dimensionality reduction algorithms and other modeling techniques for creating topic models in language processing
  • How to cluster data points using the k-means model and other specialized techniques, navigating the tradeoffs and use cases for each method
  • Ways to apply, compare, and contrast unsupervised learning techniques for different business case studies
  • How to build recommendation systems using content-based and collaborative filtering methods, describing the differences and tradeoffs between the two

Prerequisites

We recommend that students have a basic understanding of the following:

  • Python, pandas, and basic visualization libraries and how to use these tools to explore, analyze, and visualize tabular datasets
  • The mathematics fundamentals of machine learning including calculus, linear algebra, probability, and statistics
  • Familiarity with supervised machine learning including linear regression, basic classification models, and model evaluation
  • Web scraping or obtaining data through application programming interfaces (APIs) is a plus

ENROLL

World-Class Instructors with Online Teaching Expertise

You’ll learn from top data scientists in the Metis Natural Language Processing Course. Get to know a few of them now.

  • Vinny Senguttuvan

    5 years at Metis

  • Joe Eddy

    3 years at Metis

  • Kimberly Fessel

    2 years at Metis

Meet the Full Team

Your Online Experience Brought to Life

Join us for class—wherever you are—and get the interactive, in-depth learning experience you just can’t get when you study on your own.

Follow along during lecture as your instructor shares their screen.

Interact with your instructors and classmates on video, in the chat, and with the polling feature.

Real-time whiteboarding simulates the classroom learning experience.

Collaborate with classmates during pair-programming, project work, and more.

Chat with your instructors and classmates in a dedicated Slack channel.

AVG RATING
4.89
AVG RATING
4.8
AVG RATING
4.91

Payment Options

TUITION COST

Pay your course tuition up front: $3,500

FINANCING OPTIONS

Coming soon! Finance your tuition through our lending partners: Skills Fund and Climb Credit.

EMPLOYER SPONSORSHIP

Find out if your employer will cover the cost of tuition to support your development.

CONSIDERING OUR IMMERSIVE DATA SCIENCE BOOTCAMP?

Short Immersive Course alumni can apply the amount of tuition paid for one course towards enrollment in an upcoming bootcamp upon admittance.

Upcoming Program Dates

May 17 - May 28

11am - 6pm ET

Next Start | Enroll

Jun 14 - Jun 25

11am - 6pm ET

Open | Enroll

Jul 12 - Jul 23

11am - 6pm ET

Open | Enroll

Questions?
Schedule a Call

Frequently Asked Questions

  • Are there prerequisites for the Natural Language Processing and Unsupervised Learning short immersive course?

    This is an advanced course, and while anyone can enroll, we strongly recommend students only enroll if the following statements apply: 

    • - Students should be confident using basic visualization libraries, general Python, general pandas.
    • - Students should be able to use the tools listed above to analyze, explore, and visualize tabular datasets.
    • - Students should be versed in the math fundamentals of machine learning, including linear algebra, probability, statistics, and calculus.
    • - Students should have at least a working familiarity with major topics in supervised machine learning including linear regression, basic classification models, and model evaluation.
    • - While not necessary to succeed in the course, students who are comfortable with web scraping or obtaining data through application programming interfaces (APIs) have the advantage of a wider range of project possibilities.
    • - Github is a web-based hosting service for version control using Git, and all students need to sign up for a free account before class begins.

  • How can I enroll in the Natural Language Processing and Unsupervised Learning course?

    Click here to enroll before 8pm ET on the Friday before the course start date. This deadline enables us to provide students with all the information they’ll need to start class on day 1.

  • How much is tuition? Are there payment plans?

    The cost of the Natural Language Processing and Unsupervised Learning course is $3,500. Students pay for the course in full upon enrolling.

  • What kind of time commitment is required for this course?

    This short immersive course requires a full-time commitment, five days a week for two weeks. Students are expected to be online from 11:00 am - 6:00 pm ET / 10:00 am - 5:00 pm CT / 8:00 am - 3:00 pm PT each day to participate in pair programming, lectures, and independent project work. Each day also includes a one-hour lunch break. 

    Outside of class, students can expect to spend additional time completing assignments, going over lectures, and working on their project. In order to receive a certificate of completion, students must maintain attendance and earn passing scores on the assessments and project.

  • Does this course include Career Support Services?

    No, our short immersive courses do not include career support like our bootcamps do. However, students will gain access to our impressive and always-expanding network of data professionals, and will be in the loop about networking events and job opportunities regularly posted in Slack.

  • Who are the Instructors for this course?

    At Metis, our qualified team of Data Science Instructors rotate to teach both the full-time bootcamps and the short immersive courses. These seasoned professionals and educators boast backgrounds spanning business, finance, engineering, healthcare, and more.

ADDITIONAL FAQ

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See if Bootcamps are a Better Fit

We can teach you a lot in two weeks, but we can teach you so much more in our longer, immersive bootcamps. You’ll get access to career support until you get a job.

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