Overview
Context
It is estimated that over 70% of potentially usable business information is unstructured, often in the form of text data.
Text mining provides a collection of techniques that allows us to derive actionable insights from unstructured data.
In this Text Mining with Bag-of-Words in R course offered by Data Camp, we explore the basics of text mining.
The first three chapters introduce a variety of essential topics for analyzing and visualizing text data.
The final chapter allows you to apply everything you've learned in a real-world case study to extract insights from employee reviews of two major tech companies.
Programme Structure
Chapters
Jumping into text mining with bag of words
Adding to your TM skills
- Word clouds and more interesting visuals
- Battle of the tech giants for talent
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Campus Location
- New York City, United States
Disciplines
Machine Learning View 210 other Short Courses in Machine Learning in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
PREREQUISITES
- Intermediate R
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
-
Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions