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Transforming, Filtering, and Aggregating Data Streams in Ruby

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Overview

Focusing on data manipulation operations, this course teaches how to perform data projection, filtering, and aggregation using Ruby without needing advanced external libraries. You will learn how to use both procedural and functional programming techniques when applying filtering and aggregation on data streams.

Syllabus

Unit 1: Understanding Data Streams

Update DataStream to Retrieve Last Element
Fixing Last Element Retrieval in DataStream Method
Slicing Data Stream Segments
Middle Element of a DataStream Slice

Unit 2: Filtering Data Streams

Filtering Odd and Even Numbers
Filtering Strings by Length
Filtering Prime Numbers
Combining Multiple Conditions
Filtering Data Within a Range

Unit 3: Data Transformation Techniques

Projecting Fruit Colors
Filter and Project Sprinters
Enhancing Car Horsepower by 10%
Filter and Increase Prices of Expensive Products
Temperature Conversion with Data Projector

Unit 4: Data Aggregation Methods

Minimum Exam Score Calculation
Calculate Standard Deviation of Ages
Calculating the Average Temperature
Finding the Most Frequent Temperature
Counting Adults Using Reduce Function

Unit 5: Practical Data Manipulation Techniques

Calculating Average Salary in Sales Department
Filter and Aggregate Sales Data
Implement Employee Filtering and Salary Aggregation
Data Manipulation in Ruby: Filtering, Projecting, and Aggregating

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