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Overview
Key facts
Across industries, there is a strong need for companies to analyse this text and make it quantifiable, in order to generate insights, respond to trends, and remain competitive.
London School of Economics and Political Science's Data Science - Text Analysis Using R online certificate course provides a comprehensive, practical grounding in the process of textual data mining. Guided by industry expert Professor Kenneth Benoit, you’ll learn how to conduct a text analysis from start to finish, including preparing raw text, unpacking and categorising it, and evaluating the final analytics using R programming language. You’ll also learn how to effectively use Quanteda – an online library for the quantitative analysis of textual data, developed by Professor Benoit.Throughout the course, a combination of real-world case studies and regular practise in Jupyter notebooks and R will help fine-tune your data analytics skill set. At the end of the eight weeks, you’ll walk away with a holistic understanding of effective text analysis techniques, and an improved ability to derive critical insights from data in your own organisation.Programme Structure
Courses include:
- Working with textual data in R
- Cleaning, processing, and transforming text
- Data visualisation and descriptive statistics for text
- Clustering methods for words and documents
- Topic models
- Sentiment analysis
- Document classification
Key information
Duration
- Part-time
- 2 months
Start dates & application deadlines
- Starting
- Apply before
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Language
English
Delivered
Online
Disciplines
Data Science & Big Data View 43 other Short Courses in Data Science & Big Data in United KingdomAcademic 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
- Professionals working in the fields of data science or analytics, who wish to enhance their text-mining abilities in order to extract insights from vast quantities of textual data, as well as improve their literacy in R programming language
- Data analysts working in finance or operations, IT professionals or software engineers, and data-driven managers of teams in sales, marketing, or project management
- Digital marketing professionals with a proficiency in data analytics looking to gain an improved understanding of text analysis
- Individuals who have an interest in analysing large sums of text, accumulated in the form of documents or social media posts
Tuition Fee
To always see correct tuition fees
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International
1800 GBP/fullTuition FeeBased on the tuition of 1800 GBP for the full programme during 2 months. -
National
1800 GBP/fullTuition FeeBased on the tuition of 1800 GBP for the full programme during 2 months.
Funding
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