Title: Text Analytics with Python
Instructor: Dr Jonathan Dunn
Start date: Open for enrolment
Price: Free (optional upgrade cost available to include graded assignments and completion certificate)
Learn the core techniques of text analytics and natural language processing (NLP) while discovering the cognitive science that makes it possible in this certificate Text Analytics with Python.
On the practical side, you will learn how to actually do an analysis in Python: creating pipelines for text classification and text similarity using machine learning. These pipelines are automated workflows that go all the way from data collection to visualization.
On the scientific side, you will learn what it means to understand language computationally. Artificial intelligence and humans do not view text documents in the same way. Sometimes deep learning sees patterns that are invisible to us. But often deep learning misses the obvious. We have to understand the limits of a computational approach to language together with the ethical requirements that guide how we choose what data to use and how we protect the privacy of individuals.
Along the way, you will explore real-world case studies using pandas, numpy, scikit-learn, tensorflow, matplotlib, seaborn, gensim, and spacy within jupyter notebooks to gain useful insights from unstructured data.
