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Computer Programming

31 learners

Projection, Filtering, and Aggregation of Data Streams

Focusing on data manipulation operations, this course teaches how to perform data projection, filtering, and aggregation using Kotlin 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.

Kotlin

See path

5 lessons

23 practices

3 hours

Computer Science Fundamentals

Lessons and practices

Lesson 1: Understanding and Managing Data Streams with Kotlin

Retrieve Last Element from DataStream

Fixing the getLast Method in DataStream Class

First and Last Data Points in a Stream

Slicing and Converting Data Streams to String

Find the Middle Element of a Sliced Data Stream

Lesson 2: Filtering Data Streams with Kotlin Techniques

Filter Numbers Greater Than 20 in Kotlin

Filtering Strings by Length in Kotlin

Filter Even Numbers Using List Comprehension

Filtering Positive Even Numbers with Filter Function

Filter Values Below Threshold

Lesson 3: Understanding Data Projection Techniques with Kotlin

Projecting Fruit Colors Instead of Names

Enhance Car Horsepower Using Project Method

Filter and Enhance Product Prices in Kotlin

Data Projection with Temperature Conversion in Kotlin

Lesson 4: Introduction to Data Aggregation Methods with Kotlin

Calculate Minimum Exam Score in Kotlin

Fixing Bug in Standard Deviation Calculation

Calculate Average Temperature

Finding the Most Frequent Temperature Using Fold Function in Kotlin

Counting Adults Using Reduce Function

Lesson 5: Practical Data Manipulation Techniques with Kotlin

Calculate Average Salary in Sales Department

Filter and Aggregate Sales Data

DataStream Employee Analysis in Kotlin

Data Manipulation with DataStream in Kotlin

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