The London School of Economics and Political Science
Data Science: Text Analysis Using R
Discover how cutting-edge data science techniques can be used to extract business value from textual data.
Starting soon
Start date
02 October 2024
Enroll by 24 September 2024
Course duration
8 weeks
Excluding orientation
Language
English
Access resources from start date
Effort
8–10 hours per week
Self-paced learning online
Course overview
The percentage of organisational data that is held in the form of text documents, including reports, web pages, emails, and call-centre notes.
IBM (Jun, 2021).
The predicted size of the global text analytics market by 2026, progressing at a compound annual growth rate of 17.8%.
GlobeNewswire (Jul, 2021).
Duration: 8 weeks (excluding orientation)
In today's business world, generating large amounts of textual information or data through marketing, reporting, and customer interactions via social media and email is common. Text analysis, a subset of data science, allows organisations to quantify this data, identify trends and priority areas, and gain competitive insights using machine learning.
The Data Science: Text Analysis Using R online certificate course from the London School of Economics and Political Science (LSE) equips you with a practical skill set for conducting effective text mining from start to finish. Guided by industry expert Professor Kenneth Benoit, you’ll learn how to prepare raw data, categorise it using clustering and topic modelling, conduct sentiment analysis, evaluate document classification models, and apply these insights to social media data. The course includes a grounding in Quanteda, an online library developed by Professor Benoit for deconstructing textual data. You’ll engage with relevant case studies and real-world data sets over eight weeks online, enhancing your ability to extract business-critical insights from textual data in your organisation.
This course is technical in nature and makes use of coding in R. Some algebraic and calculus knowledge is strongly advised, but is not required. Training in tertiary-level statistics and knowledge of a functional or object-orientated language are also advantageous. HTML is not considered a programming language in this context.
Is this course for you?
This online certificate course is designed for individuals with a background in data or analytics and focuses on using the R programming language. It provides valuable skills and insights that apply to various industries and sectors. Data science and analytics professionals, such as data analysts, software engineers, application developers, and computer scientists, will benefit from gaining a deeper understanding of text mining, validating their skills in R, and staying up to date with the latest innovations in the field. Business, systems, and research analysts who work with reviews, transcripts, reports, articles, and social media data can improve the accuracy and efficiency of their data analysis, while IT technicians and systems analysts can expand their ability to work with large volumes of organisational data. Data-driven managers in marketing, sales, operations, and project management can also better understand text analysis and its benefits.
This Data Science: Text Analysis Using R online certificate course is certified by the United Kingdom CPD Certification Service, and may be applicable to individuals who are members of, or are associated with, UK-based professional bodies. The course has an estimated 70 hours of learning.
Note: should you wish to claim CPD activity, the onus is on you. The London School of Economics and Political Science (LSE) and GetSmarter accept no responsibility, and cannot be held responsible, for the claiming or validation of hours or points.
Course overview
Introduction
Duration: 8 weeks (excluding orientation)
In today's business world, generating large amounts of textual information or data through marketing, reporting, and customer interactions via social media and email is common. Text analysis, a subset of data science, allows organisations to quantify this data, identify trends and priority areas, and gain competitive insights using machine learning.
The Data Science: Text Analysis Using R online certificate course from the London School of Economics and Political Science (LSE) equips you with a practical skill set for conducting effective text mining from start to finish. Guided by industry expert Professor Kenneth Benoit, you’ll learn how to prepare raw data, categorise it using clustering and topic modelling, conduct sentiment analysis, evaluate document classification models, and apply these insights to social media data. The course includes a grounding in Quanteda, an online library developed by Professor Benoit for deconstructing textual data. You’ll engage with relevant case studies and real-world data sets over eight weeks online, enhancing your ability to extract business-critical insights from textual data in your organisation.
This course is technical in nature and makes use of coding in R. Some algebraic and calculus knowledge is strongly advised, but is not required. Training in tertiary-level statistics and knowledge of a functional or object-orientated language are also advantageous. HTML is not considered a programming language in this context.
Is this course for you?
This online certificate course is designed for individuals with a background in data or analytics and focuses on using the R programming language. It provides valuable skills and insights that apply to various industries and sectors. Data science and analytics professionals, such as data analysts, software engineers, application developers, and computer scientists, will benefit from gaining a deeper understanding of text mining, validating their skills in R, and staying up to date with the latest innovations in the field. Business, systems, and research analysts who work with reviews, transcripts, reports, articles, and social media data can improve the accuracy and efficiency of their data analysis, while IT technicians and systems analysts can expand their ability to work with large volumes of organisational data. Data-driven managers in marketing, sales, operations, and project management can also better understand text analysis and its benefits.
This Data Science: Text Analysis Using R online certificate course is certified by the United Kingdom CPD Certification Service, and may be applicable to individuals who are members of, or are associated with, UK-based professional bodies. The course has an estimated 70 hours of learning.
Note: should you wish to claim CPD activity, the onus is on you. The London School of Economics and Political Science (LSE) and GetSmarter accept no responsibility, and cannot be held responsible, for the claiming or validation of hours or points.
What will set you apart
The practical skills to perform a range of text analysis techniques, including managing data in Quanteda and processing it in R.
An enhanced ability to extract valuable insights from textual data sets, helping your organisation stay ahead of the competition.
An in-depth understanding of the entire text analysis process, from cleaning and processing raw text to interpreting and visualizing the final data.
Unlimited access to 2U’s Career Engagement Network, offering you exclusive resources and events to support your professional journey and drive your career forward.Course curriculum
Orientation module
Welcome to your Online Campus
Module 1
Working with textual data in R
Module 2
Cleaning, processing, and transforming text
Module 3
Data visualisation and descriptive statistics for text
Module 4
Clustering methods for words and documents
Module 5
Topic models
Module 6
Sentiment analysis
Module 7
Document classification
Module 8
Social media analysis
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Course Convenor
Professor Kenneth Benoit
Director of the Data Science Institute and Professor of Computational Social Science
About the certificate
Develop a practical understanding of text analysis techniques and earn an official certificate of competence from the London School of Economics and Political Science.
Assessment is continuous and based on a series of practical assignments completed online. In order to be issued with a digital certificate, you’ll need to meet the requirements outlined in the course handbook. The handbook will be made available to you as soon as you begin the course.
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We deliver market-led courses that equip working professionals with the expertise required to upskill, reskill or kickstart a completely new career. Through a data-driven approach, we analyze future skills requirements and ensure all courses address this need. We ensure that leading universities and institutions are your expert guides and our people, technology, and resources are your engine – together we power more than just education, we power your potential.
Read more about GetSmarter here and edX here.
Find out more about GetSmarter’s approach to digital learning, course design, and online delivery here.
Payment options
You can pay your course fees before the course starts, or you may opt for a split payment plan on courses that are nine weeks and shorter. For courses 10 weeks and longer, there is a three-part payment plan available. To find out more about payment options please visit our Payment and Financing page, or contact an Enrollment Adviser, to find out which option you qualify for.
Manage your time
GetSmarter's learning model is designed to help you, as a working professional, improve your skills without compromising on work and family responsibilities. The course work is broken up into weekly, manageable bite-sized modules, with incremental deadlines, designed to help you pace yourself over the duration of the course and allow you the legroom to work when it suits you best.
At the beginning of each module you'll be presented with the course content and assignments necessary for completion. You also have access to your Success Adviser who will help you manage your time, and support you with any administrative or technical queries you might have.
Seek employer assistance
By improving your skills and industry knowledge, you'll have an influence on the success of your organization. Why wouldn't you ask your boss to help you fund your studies if it's going to have an impact on the way you do business?
Of our past students, 37 percent have received financial assistance from their employers. You can ask for help, too. Here is a guide to show you how to request financial assistance from your employer.
If you are a Learning & Development (L&D) manager, or involved in training and upskilling for an organization, you can request information regarding our corporate offering on our GetSmarter for business page.
How to change your start date
As part of our commitment to your professional development, GetSmarter offers you a two-week period to change your course start date or request your money back if you’re not fully satisfied.
To qualify for a deferral of your course start date, or to cancel your enrollment and receive a refund of your course fee, your request would need to reach our Success Advisers before the release of Module 2. For more information, please read our Terms and Conditions.
Discover the Online Campus
The Online Campus will be your virtual classroom for the duration of your course. Through its easy-to-use interface you'll have access to a diverse variety of course content formats including: interactive videos, module notes, practice quizzes, presentations, assignment briefs, and additional web resources.
On the Online Campus, you'll also be able to ask questions and interact with your fellow students and teaching team through the discussion forums. If you are looking for your Online Campus login, please see the list of university partner login pages here.
