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Computer Programming

85 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 C++ 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.

C++

See path

5 lessons

24 practices

3 hours

Computer Science Fundamentals

Lessons and practices

Lesson 1: Understanding Data Streams: Basics and Operations

Retrieve the Last Element from Data Stream

Fixing the DataStream get_last Method in C++

First and Last Data Points in Data Stream

Slicing and Converting Data Streams to String

Return the Middle Element of a Sliced DataStream

Lesson 2: Diving Into Filtering Data Streams in C++

Filter Numbers Greater Than 20

Fixing the Filter for Long Strings

Filtering Even Numbers from Data Stream Using std::copy_if

Filtering Positive Even Numbers Using std::copy_if

Filtering a Data Stream Below a Certain Threshold

Lesson 3: Introduction to Data Projection Techniques in C++

Projecting Colors of Fruits

Fix the Sprinter Filtering and Projection Logic in C++

Enhance Car Horsepower by 10 Percent

Filter and Increase Prices of Expensive Products

Data Projection Techniques with C++: Converting Fahrenheit to Celsius using Classes

Lesson 4: Introduction to Data Aggregation Methods Using C++

Changing Code to Calculate Minimum Exam Score

Fix the Standard Deviation Calculation

Calculating Average Temperature in C++

Finding the Most Frequent Age Using Loops in C++

Counting Adults with a Loop

Lesson 5: Practical Data Manipulation Techniques in C++

Calculate Average Salary in Sales Department

Filtering and Aggregating Sales Data

Data Manipulation with Filtering Projection and Aggregation in C++

Data Manipulation with DataStream in C++

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