Projection, Filtering, and Aggregation of Data Streams in Go

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.

Lessons and practices

Lesson 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

Lesson 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

Lesson 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

Lesson 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

Lesson 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

Interested in this course? Learn and practice with Cosmo!

Practice is how you turn knowledge into actual skills.