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Projection, Filtering, and Aggregation of Data Streams in TS

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Overview

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

Syllabus

Unit 1: Understanding Data Streams with TypeScript

Update Method to Retrieve Last Element of DataStream
Fixing the DataStream getLast Method in TypeScript
First and Last Data Points in a Data Stream
Slicing Data and Converting to String in TypeScript
Middle Element Finder in DataStream

Unit 2: Exploring Data Filtering Techniques in TypeScript

Filter Numbers Greater Than 20 in TypeScript
Fix the Bug to Filter Strings Longer than a Specified Threshold
Filter Even Numbers from a Data Stream
Filter Positive Even Numbers using TypeScript
Filter Values Below Threshold in Data Stream

Unit 3: Introduction to Data Projection Techniques with TypeScript

Projecting Fruit Colors Using Arrow Functions in TypeScript
Filter and Project Sprinters by Personal Best Time
Enhance Car Horsepower
Filter and Increase Product Prices
Converting Temperatures from Fahrenheit to Celsius

Unit 4: Data Aggregation Techniques in TypeScript

Minimum Exam Score Calculation
Calculate Average Temperature
Finding the Most Frequent Temperature Using Reduce
Counting Adults with Reduce Function in TypeScript

Unit 5: Data Manipulation Techniques with TypeScript

Calculate Average Salary in Sales Department
Filter and Aggregate Sales Data in TypeScript
Implement DataStream Methods for Employee Filtering and Aggregation
Implementing a Data Manipulation Class in TypeScript

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