Graduate Certificate in Text Classification with R

Wednesday, 28 January 2026 10:30:15

International applicants and their qualifications are accepted

Start Now     Viewbook

Overview

Overview

Text Classification with R: Master the art of automated text analysis.


This Graduate Certificate in Text Classification equips you with the R programming skills needed for effective natural language processing (NLP).


Learn machine learning algorithms for sentiment analysis, topic modeling, and document categorization.


Develop data mining techniques to extract insights from unstructured text data. This program is ideal for data scientists, analysts, and researchers.


Gain practical experience with real-world datasets. Enhance your resume with Text Classification expertise.


Enroll now and transform your text data into actionable intelligence.

Text Classification with R: Master the art of automated text analysis! This Graduate Certificate equips you with practical skills in natural language processing (NLP) and machine learning, using the powerful R programming language. Learn to build robust text classification models for various applications, from sentiment analysis to topic modeling. Gain in-demand expertise leading to rewarding careers in data science, machine learning, and text mining. Our unique curriculum features hands-on projects and industry-relevant case studies using R packages like tm and caret. Boost your career prospects with this specialized Text Classification certificate.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Introduction to Text Mining and Classification with R
• Data Wrangling and Preprocessing for Text Analysis (including tokenization, stemming, stop word removal)
• Feature Engineering for Text Classification (TF-IDF, word embeddings)
• Supervised Learning Methods for Text Classification (Naive Bayes, Support Vector Machines, Random Forests)
• Evaluating Classification Models (precision, recall, F1-score, ROC curves)
• Unsupervised Learning for Text Analysis (topic modeling, clustering)
• Advanced Text Classification Techniques (deep learning methods, ensemble methods)
• Building and Deploying Text Classification Applications in R
• R Packages for Text Analysis (stringr, tm, quanteda, tidytext)
• Case Studies in Text Classification (sentiment analysis, spam detection)

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): 140
2 months (Standard mode): 90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

Start Now

Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

Start Now

  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
  • Start Now
    •

Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Career Role Description
Data Scientist (Text Classification) Develops and implements advanced text classification models using R, contributing to key business decisions through data-driven insights. High demand for R programming and text mining skills.
Machine Learning Engineer (NLP Focus) Designs, builds, and deploys machine learning systems specializing in Natural Language Processing (NLP) and text classification. Requires proficiency in R and relevant libraries.
Business Intelligence Analyst (Text Analytics) Leverages text classification techniques within R to analyze business data, identifying trends and generating reports for strategic decision-making. Strong analytical and communication skills are essential.
Research Scientist (Computational Linguistics) Conducts research and develops novel text classification algorithms within the context of computational linguistics. Advanced R programming and statistical modelling are vital.

Key facts about Graduate Certificate in Text Classification with R

```html

A Graduate Certificate in Text Classification with R equips you with the practical skills and theoretical knowledge to master this crucial field of data science. You'll learn to build, evaluate, and deploy effective text classification models using the powerful R programming language, a widely-used statistical computing environment.


Learning outcomes include proficiency in various text mining techniques, including preprocessing, feature engineering, and model selection. You'll gain experience with popular text classification algorithms such as Naive Bayes, Support Vector Machines, and deep learning approaches, all within the context of the R programming language and its associated packages. This comprehensive curriculum also covers model evaluation metrics and techniques for improving model performance.


The program duration is typically flexible, often ranging from a few months to a year, depending on the institution and the student's pace. The program structure allows for part-time study, accommodating working professionals seeking to upskill or change careers.


This certificate holds significant industry relevance. Text classification is a highly sought-after skill across diverse sectors, including market research (sentiment analysis), customer service (automated ticket routing), healthcare (medical record analysis), and finance (fraud detection). Graduates will be prepared for roles like Data Scientist, Machine Learning Engineer, or Business Intelligence Analyst, leveraging their expertise in natural language processing (NLP) and R programming.


The practical application of R programming in the context of text classification enhances the employability of graduates. The ability to use this widely-used statistical software increases their value in the modern data-driven workplace, allowing them to contribute meaningfully to data-intensive projects from day one.

```

Why this course?

A Graduate Certificate in Text Classification with R is increasingly significant in today's UK market. The demand for data scientists and analysts skilled in natural language processing (NLP) and R programming is booming. According to a recent study by the Office for National Statistics, the UK's data science sector grew by 15% in 2022, with a projected growth of 20% by 2025. This surge highlights the growing need for professionals proficient in text mining techniques like text classification using R.

Year Growth (%)
2022 15
2023 (Projected) 20

This Graduate Certificate equips learners with the necessary skills for various applications, including sentiment analysis, topic modeling, and spam detection, making graduates highly sought-after in fields like finance, marketing, and healthcare. The program's focus on R, a powerful statistical computing language, further enhances its market value. Mastering text classification using R provides a competitive edge in the evolving data landscape.

Who should enrol in Graduate Certificate in Text Classification with R?

Ideal Candidate Profile Skills & Experience Career Aspirations
Data Scientists seeking to enhance their R programming skills and specialize in text classification. Proficiency in R; basic understanding of statistical modeling; experience with data manipulation and cleaning. Advance their careers in data analysis, machine learning, or natural language processing (NLP). The UK currently has a high demand for data scientists with NLP skills (source needed for specific UK statistic).
Researchers utilizing textual data in their work, seeking efficient and accurate analysis methods. Familiarity with qualitative research methods; basic understanding of statistical concepts; some programming experience beneficial. Improve research efficiency; develop advanced analytical capabilities for text-based research; potentially transition to a data-focused role.
Professionals in industries like marketing, finance, or social sciences working with large volumes of unstructured text data. Experience in their respective fields; basic understanding of data analysis principles. Enhance their ability to extract actionable insights from text data; improve decision-making processes through data-driven analysis. This is particularly relevant in the UK's growing digital economy (source needed for specific UK statistic).