Coursera

Big data and Language 2 (Coursera)

Offered by Korea Advanced Institute of Science and Technology - KAIST,

In this course, students will understand characteristics of language through big data. Students will learn how to collect and analyze big data, and find linguistic features from the data. A number of approaches to the linguistic analysis of written and spoken texts will be discussed.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Syllabus

WEEK 1
Scientific Approaches

WEEK 2
Analysis Tools I – BNC

WEEK 3
Analysis Tools II – COCA, ANTCONC & TagAnt

WEEK 4
Considerations of Big Data and Language

WEEK 5
Project
In the final projects, students are required to conduct their research on linguistics. The research topic can be chosen by students and the linguistic data should be collected according to. The material for this course can be helpful. Through the project, students can learn how to collect data, process data and analyze data for their purposes.

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

University of Naples Federico II

A quick tour on Big Data and Business Intelligence (Coursera)

Engineering

This course is devoted to beginners and practitioners of Big Data and AI fields. It will be a quick overview of some basic concepts that could be further elaborated by professionals. Ranging from CAP theorem to Turing assumption, we will provide a starting guide for diving in these fascinating topics.

Jun 22nd 2026

4 Weeks

Artificial Intelligence Big Data Hadoop

Coursera

École Polytechnique Fédérale de Lausanne

Big Data Analysis with Scala and Spark (Scala 2 version) (Coursera)

CS: Theory Data Science

Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout.

Jun 22nd 2026

4 Weeks

SQL Scala Big Data

Coursera

University of Colorado System

Relational Database Support for Data Warehouses (Coursera)

Statistics & Data Analysis Data Science

Relational Database Support for Data Warehouses is the third course in the Data Warehousing for Business Intelligence specialization. In this course, you'll use analytical elements of SQL for answering business intelligence questions. You'll learn features of relational database management systems for managing summary data commonly used in business intelligence reporting. Because of the importance and difficulty of managing implementations of data warehouses, we'll also delve into storage architectures, scalable parallel processing, data governance, and big data impacts. In the assignments in this course, you can use either Oracle or PostgreSQL.

Jun 22nd 2026

5-12 Weeks

Databases SQL Big Data

Coursera

University of Pennsylvania

AI Fundamentals for Non-Data Scientists (Coursera)

Management & Leadership

In this course, you will go in-depth to discover how Machine Learning is used to handle and interpret Big Data. You will get a detailed look at the various ways and methods to create algorithms to incorporate into your business with such tools as Teachable Machine and TensorFlow. You will also learn different ML methods, Deep Learning, as well as the limitations but also how to drive accuracy and use the best training data for your algorithms.

Jun 22nd 2026

4 Weeks

Artificial Intelligence Machine Learning Big Data

Coursera

University of California, San Diego

Machine Learning With Big Data (Coursera)

Statistics & Data Analysis Data Science

Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems.

Jun 22nd 2026

5-12 Weeks

Algorithms Machine Learning Big Data

Coursera

University of California, San Diego

Teaching Impacts of Technology: Data Collection, Use, and Privacy (Coursera)

Education

In this course you’ll focus on how constant data collection and big data analysis have impacted us, exploring the interplay between using your data and protecting it, as well as thinking about what it could do for you in the future. This will be done through a series of paired teaching sections, exploring a specific “Impact of Computing” in your typical day and the “Technologies and Computing Concepts” that enable that impact, all at a K12-appropriate level.

Jun 17th 2026

4 Weeks

Education Computing Technology

Coursera

University of Illinois at Urbana-Champaign

Infonomics II: Business Information Management and Measurement (Coursera)

Business

Even decades into the Information Age, accounting practices yet fail to recognize the financial value of information. Moreover, traditional asset management practices fail to recognize information as an asset to be managed with earnest discipline. This has led to a business culture of complacence, and the inability for most organizations to fully leverage available information assets. This second course in the two-part Infonomics series explores how and why to adapt well-honed asset management principles and practices to information, and how to apply accepted and new valuation models to gauge information’s potential and realized economic benefits.

Jun 22nd 2026

4 Weeks

Business Big Data Accounting

Coursera

FIA Business School

Cadeia de Suprimentos na Nuvem (Coursera)

Business

Nossas boas-vindas ao Curso Cadeia de Suprimentos na Nuvem. Neste curso, você aprenderá como o supply chain pode ampliar o valor da empresa explorando as diversas ferramentas disponíveis em cloud para potencializar a visibilidade e a responsividade da cadeia, melhorando o nível de serviço prestado aos clientes.

Jun 22nd 2026

5-12 Weeks

Cloud Machine Learning Big Data

Coursera

Macquarie University

Excel Power Tools for Data Analysis (Coursera)

Business

Welcome to Excel Power Tools for Data Analysis. In this four-week course, we introduce Power Query, Power Pivot and Power BI, three power tools for transforming, analysing and presenting data. Excel's ease and flexibility have long made it a tool of choice for doing data analysis, but it does have some inherent limitations: for one, truly "big" data simply does not fit in a spreadsheet and for another, the process of importing and cleaning data can be a repetitive, time-consuming and error-prone.

Jun 22nd 2026

4 Weeks

Excel Big Data Data Analysis

Coursera

Cloudera

Managing Big Data in Clusters and Cloud Storage (Coursera)

Statistics & Data Analysis Data Science

In this course, you'll learn how to manage big datasets, how to load them into clusters and cloud storage, and how to apply structure to the data so that you can run queries on it using distributed SQL engines like Apache Hive and Apache Impala. You’ll learn how to choose the right data types, storage systems, and file formats based on which tools you’ll use and what performance you need.

Jun 22nd 2026

5-12 Weeks

SQL Big Data Data Management

Coursera

Edureka

Introduction to PySpark (Coursera)

CS: Software Engineering

Welcome to Introduction to PySpark, a short course strategically crafted to empower you with the skills needed to assess the concepts of Big Data Management and efficiently perform data analysis using PySpark. Throughout this short course, you will acquire the expertise to perform data processing with PySpark, enabling you to efficiently handle large-scale datasets, conduct advanced analytics, and derive valuable insights from diverse data sources.

Jun 22nd 2026

1 Week

Python Big Data Data Analysis

Coursera

University of Colorado Boulder

Software Architecture Patterns for Big Data (Coursera)

CS: Software Engineering

The course is intended for individuals looking to understand the architecture patterns necessary to take large software systems that make use of big data to production. You will transform big data prototypes into high quality tested production software. After measuring the performance characteristics of distributed systems, you will identify trouble areas and implement scalable solutions to improve performance. Upon completion of the course you will know how to scale production data stores to perform under load, designing load tests to ensure applications meet performance requirements.

Jun 22nd 2026

4 Weeks

Big Data Predictive Models Software Architecture