Applied Text Mining in Python, Certificate | Part time online | Coursera | United States
2 days
Duration
Free
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Tuition fee
Anytime
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About

The Applied Text Mining in Python course offered by Coursera in partnership with University of Michigan is part of the Applied Data Science with Python Specialization.

Visit the Visit programme website for more information

Overview

The Applied Text Mining in Python course offered by Coursera in partnership with University of Michigan will introduce the learner to text mining and text manipulation basics. 

The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. 

The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling).

This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python.

What You Will Learn

  • Understand how text is handled in Python
  • Apply basic natural language processing methods
  • Write code that groups documents by topic
  • Describe the nltk framework for manipulating text

Programme Structure

Courses included:

  • Working with Text in Python
  • Basic Natural Language Processing
  • Classification of Text
  • Topic Modeling

Key information

Duration

  • Part-time
    • 2 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

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

  • Intermediate level
  • Some related experience required

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 days.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 days.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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