Course Summary
This course introduces learners to the basics of big data and the R programming language. Learners will gain hands-on experience using tools like Hadoop, Hive, and Pig to work with structured and unstructured data sets.Key Learning Points
- Gain a fundamental understanding of big data and the R programming language
- Hands-on experience with Hadoop, Hive, and Pig
- Learn how to work with structured and unstructured data sets
Related Topics for further study
Learning Outcomes
- Understand the basics of big data and the R programming language
- Learn how to work with structured and unstructured data sets
- Gain hands-on experience with tools like Hadoop, Hive, and Pig
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of programming concepts
- Access to a computer with internet connection
Course Difficulty Level
BeginnerCourse Format
- Online
- Self-paced
Similar Courses
- Python for Data Science
- Big Data Essentials: HDFS, MapReduce and Spark RDD
- Data Science Methodology
Related Education Paths
Related Books
Description
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.
The class will consist of lecture videos which are approximately 1 hour and a quiz for each week. There will be a final project which requires students to conduct research on text data and language.
Outline
- Introduction to Big Data and Language
- 1-1 Introduction to Big Data and Language
- 1-2 The 4th Industrial Revolution and Big Data
- 1-3 Intuition VS Big Data
- 1-4 Data and Language
- 1-5 Recent Research on Big Data and Language
- Introduction to Big Data and Language
- Spoken and Written Data
- 2-1 Characteristics of Spoken English I
- 2-2 Characteristics of Spoken English II
- 2-3 Characteristics of Spoken English III
- 2-4 Differences between Written and Spoken English
- 2-5 Student Presentations Samples
- Spoken and Written Data
- Corpus and Register
- 3-1 Corpus Linguistic
- 3-2 Register I
- 3-3 Register II
- 3-4 Register III
- 3-5 Register IV
- Corpus and Registers
- Parts of Speech
- 4-1 Parts of Speech I
- 4-2 Parts of Speech II
- 4-3 Parts of Speech III
- 4-4 Parts of Speech IV
- 4-5 Parts of Speech V
- Parts of Speech
Summary of User Reviews
Learn the language of big data with this comprehensive course on Coursera. Users have praised the course for its engaging content and practical approach. It offers a great introduction to big data language and tools, and is perfect for beginners.Key Aspect Users Liked About This Course
Engaging contentPros from User Reviews
- Practical approach to learning
- Great introduction to big data language and tools
- Suitable for beginners
- Instructors are knowledgeable and responsive
- Good mix of theory and practice
Cons from User Reviews
- Some users found the course too basic
- Lack of in-depth coverage on certain topics
- Course material can be outdated
- Not suitable for advanced learners
- Some technical issues with the platform
Seonmin Park
4.5 Raiting
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