Programming Essentials- Learn Algorithms
- Development
- May 05, 2025

Programming Essentials: Learn Algorithms, available at $29.99, has an average rating of 4.25, with 22 lectures, based on 16 reviews, and has 3189 subscribers.
You will learn about Learn about Algorithm Programming Learn about measuring algorithm performance Learn about data structures such as arrays, stacks, and queues Sorting data and searching data Learn about looping and recursion Filtering and value counting with hash tables This course is ideal for individuals who are Programmers or Anyone interested in learning about Algorithm Programming It is particularly useful for Programmers or Anyone interested in learning about Algorithm Programming.
Enroll now: Programming Essentials: Learn Algorithms
Summary
Title: Programming Essentials: Learn Algorithms
Price: $29.99
Average Rating: 4.25
Number of Lectures: 22
Number of Published Lectures: 22
Number of Curriculum Items: 22
Number of Published Curriculum Objects: 22
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
To make a computer do anything, you have to write a computer program. To write a computer program, you have to tell the computer, step by step, exactly what you want it to do. The computer then executes the program, following each step mechanically, to accomplish the end goal.
When you are telling the computer what to do, you also get to choose how it’s going to do it. That’s where algorithms come in. The algorithm is the basic technique used to get the job done.
You can think of algorithms as a recipe that describes the exact steps needed for the computer to solve a problem or reach a goal. We’ve all seen food recipes – they list the ingredients needed and a set of steps for how to make the described meal. Well, an algorithm is just like that.
In this course, you will learn some of the most popular and useful algorithms for searching and sorting information, working with techniques like recursion, and understanding common data structures. We’ll also get into the performance implications of different algorithms and how to evaluate the performance of a given algorithm. Each algorithm is shown in practice in Python, but the lessons can be applied to any programming language.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Overview of algorithms
Lecture 3: Understanding algorithm performance
Chapter 2: Data Structures
Lecture 1: Overview of data structures
Lecture 2: Arrays
Lecture 3: Linked lists
Lecture 4: Stacks and queues
Lecture 5: Hash Table
Chapter 3: Recursion
Lecture 1: Understanding recursion
Lecture 2: Power and factorial
Chapter 4: Sorting Data
Lecture 1: Sorting data
Lecture 2: Bubble sort
Lecture 3: Merge sort
Lecture 4: Quicksort
Chapter 5: Searching Data
Lecture 1: Unordered list search
Lecture 2: Ordered list search
Lecture 3: Determine if a list is sorted
Chapter 6: More Algorithms
Lecture 1: Unique filtering with hash table
Lecture 2: Value counting with hash table
Lecture 3: Find max value recursively
Chapter 7: Conclusion
Lecture 1: Conclusion
Lecture 2: Course Feedback
Instructors

Skill Savy
Programmer, Microsoft Trainer
Rating Distribution
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
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Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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