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Projection, Filtering, and Aggregation of Data Streams in Go

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Overview

Focusing on data manipulation operations, this course teaches how to perform data projection, filtering, and aggregation using Go, leveraging its capabilities without the need for external libraries. You will explore procedural and functional programming approaches for handling data streams.

Syllabus

Unit 1: Data Streams in Go: Representation and Manipulation

Retrieve Last Element from DataStream in Go
Fixing DataStream GetLast Method in Go
First and Last Data Points Extraction Task
Slicing and Converting Data to String in Go
Middle Element of a DataStream Slice

Unit 2: Exploring Data Filtering Techniques in Go

Filter Numbers Greater Than 20 in Go
Filter and Uppercase Long Strings in Go
Filter Even Numbers from Data Stream in Go
Filtering Positive Even Numbers in Go
Filter Numbers From Data Stream

Unit 3: Data Projection Techniques in Go

Projecting Fruit Colors
Filter and Project Sprinters
Enhance Car Horsepower Using Project Method
Filter and Adjust Product Prices in Go
Data Projector: Convert Fahrenheit to Celsius in Go

Unit 4: Introduction to Data Aggregation Methods in Go

Calculate Minimum Exam Score Using Built-in Functions
Calculate Standard Deviation of Ages in Go
Calculate Average Temperature Using Built-in Functions in Go
Find the Most Frequent Age
Counting Adults in an Age Array

Unit 5: Practical Data Manipulation Techniques in Go

Calculate Average Salary of Employees in Sales Department
Filter, Project, and Aggregate Sales Data in Go
Implementing DataStream for Employee Data Processing
Data Manipulation with Go: Filtering, Projecting, and Aggregating

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