Working with Different Files as Data Sources in R

Overview

Dive into the dynamic world of data with R! This exciting course equips Data Engineers to master handling text, CSV, JSON, and large datasets, leveraging R's powerful tools for efficient data manipulation, analysis, and visualization in modern applications.

Syllabus

Course 1: Fundamentals of Text Data Manipulation in R
Course 2: Parsing Table Data in R
Course 3: Hierarchical and Structured Data Formats in R
Course 4: Large Data Handling Techniques in R

Courses

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Explore the basics of text data manipulation. Learn techniques to read and write files efficiently, delving into line-by-line and character-by-character parsing to build a strong foundation in handling textual data using R.
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Master parsing and writing techniques for scientific data using both TXT and CSV formats. This course provides practical skills for working with tabular data, ensuring you can manage various structured data files effectively.
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Dive into JSON, XML, and scientific data storage. Discover how to parse, construct, and store structured data formats, leveraging R's capabilities to manage complex datasets essential for data-driven applications.
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Learn efficient techniques for managing large datasets. From compressed file management with `zip` files, to batch processing, this course equips you to handle data at scale.