Udacity

Data Structures & Algorithms in Swift (Udacity)

Offered by Udacity,

Confidently take on the tech interview. Technical interviews follow a pattern. If you know the pattern, you’ll be a step ahead of the competition. This course will introduce you to common data structures and algorithms in Swift. You'll review frequently-asked technical interview questions and learn how to structure your responses. You will answer practice problems and quizzes to test your abilities. Then you'll practice mock interviews to get specific recommendations for improvement. Be ready for anything the technical interviewer throws at you.

Class Deals by MOOC List - Click here and see Udacity's Active Discounts, Deals, and Promo Codes.

The key to successful technical interviews is practice. In this course, you'll review common Swift data structures and algorithms. You'll learn how to explain your solutions to technical problems. This course is ideal for you if you've never taken a course in data structures or algorithms. It's also a good refresher if you have some experience with these topics. You'll learn the concepts through video tutorials. You'll watch experienced engineers review supplementary examples and discuss different interview approaches. Then, apply your skills and practice in mock interviews with Pramp!
Udacity partners with tech industry leaders to bring you the most comprehensive resources for your job search. Join this course if you want to be in the driver’s seat of your job search where you decide which roles to interview for and land those interviews!

What You Will Lear

Lesson 1
Data Structures and Algorithms

Code in Swift for interviews and practice with Pramp
Review tree data structures
maps
hashing and common graph terms
Explore case studies in algorithms and list-based collections

Prerequisites and Requirements

Swift (intermediate)
Algebra (intermediate)

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

Rice University

Algorithmic Thinking (Part 2) (Coursera)

CS: Theory

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems.

Oct 5th 2026

4 Weeks

Python Computing Algorithms

Coursera

Rice University

Principles of Computing (Part 2) (Coursera)

CS: Software Engineering CS: Theory

This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems. To get hands-on experience working with these concepts, we will use the Python programming language. The main focus of the class will be weekly mini-projects that build upon the mathematical and programming principles that are taught in the class.

Oct 5th 2026

4 Weeks

Programming Python Computing

Udacity

Server-Side Swift (Udacity)

Computer Science

Production-Ready Swift in the Cloud. In this course, built in collaboration with IBM and Hashicorp, you'll learn how to build server-side Swift applications that run on Linux and in the cloud, including how to use Swift to build a microservices backend. This course covers the best practices for constructing and deploying server-side Swift using industry-proven tools like Docker and Terraform.

Self Paced

Self-Paced

Computer Science Server-Side Development Swift

Udacity

Georgia Institute of Technology,Udacity

Data Analysis and Visualization (Udacity)

Statistics & Data Analysis Data Science

Data and visual analytics is an emerging field concerned with analyzing, modeling, and visualizing complex high dimensional data. This course will introduce students to the field by covering state-of-the-art modeling, analysis and visualization techniques. It will emphasize practical challenges involving complex real world data and include several case studies and hands-on work with the R programming language.

Self Paced

Self-Paced

Data Structures Regression Data Analysis

Coursera

Duke University

Programming Fundamentals (Coursera)

CS: Theory CS: Programming

Programming is an increasingly important skill, whether you aspire to a career in software development, or in other fields. This course is the first in the specialization Introduction to Programming in C, but its lessons extend to any language you might want to learn. This is because programming is fundamentally about figuring out how to solve a class of problems and writing the algorithm, a clear set of steps to solve any problem in its class.

Oct 5th 2026

4 Weeks

Programming Algorithms C Language

Coursera

University of Colorado Boulder

Excel/VBA for Creative Problem Solving, Part 2 (Coursera)

CS: Theory CS: Programming

Excel/VBA for Creative Problem Solving, Part 2" builds off of knowledge and skills obtained in "Excel/VBA for Creative Problem Solving, Part 1" and is aimed at learners who are seeking to augment, expand, optimize, and increase the efficiency of their Excel spreadsheet skills by tapping into the powerful programming, automation, and customization capabilities available with Visual Basic for Applications (VBA).

Oct 5th 2026

4 Weeks

Algorithms Spreadsheets Excel

Coursera

University of Colorado System

Battery Pack Balancing and Power Estimation (Coursera)

Engineering

In this course, you will learn how to design balancing systems and to compute remaining energy and available power for a battery pack. This course can also be taken for academic credit as ECEA 5734, part of CU Boulder’s Master of Science in Electrical Engineering degree.

Oct 5th 2026

5-12 Weeks

MATLAB Algorithms Octave

Udacity

Swift for Beginners (Udacity)

CS: Programming

Your First Programming Language. In this course, you’ll begin learning Swift, Apple's programming language for building iOS applications. You'll start with fundamentals and work your way towards understanding all the core principles necessary to get started creating your first app. At the end of the course, you'll complete a problem set of exercises designed to challenge your understanding of Swift and give you the opportunity to apply what you've learned.

Self Paced

Self-Paced

Programming Functions Strings

Udacity

iOS Interview Prep (Udacity)

Personal and Professional Development Computer Science

Confidently take on the tech interview. This course is an excellent way to prepare for technical interviews. You’ll experience a mock interview, and review detailed analysis on how to field key industry questions. You’ll review common iOS Developer interview topics ranging from notifications and delegates to the model view controller, and learn best practices for behavioral questions and whiteboard problems.

Self Paced

Self-Paced

iOS Interview iOS Development

Coursera

The Chinese University of Hong Kong

Information Theory (Coursera)

CS: Information & Technology

At the completion of this course, the student should be able to: demonstrate knowledge and understanding of the fundamentals of information theory; appreciate the notion of fundamental limits in communication systems and more generally all systems; develop deeper understanding of communication systems; apply the concepts of information theory to various disciplines in information science.

Oct 5th 2026

13-24 Weeks

Math Network Algorithms

Coursera

University of Maryland, College Park

Advanced Interviewing Techniques (Coursera)

Languages & Literature

People interviewing for jobs today often fail because they are using yesterday's strategies. Recruiting technology has become more sophisticated, and the best employers are constantly changing the way interviews are done. This course gives you detailed strategies for handling tough competency-based, or behavioral, interviews so that you can communicate the knowledge, skills, and abilities that you have and that employers demand.

Oct 5th 2026

5-12 Weeks

Interview Communication Interviewing

Coursera

Princeton University

Analytic Combinatorics (Coursera)

CS: Theory Sci: Mathematics

Analytic Combinatorics teaches a calculus that enables precise quantitative predictions of large combinatorial structures. This course introduces the symbolic method to derive functional relations among ordinary, exponential, and multivariate generating functions, and methods in complex analysis for deriving accurate asymptotics from the GF equations. All the features of this course are available for free. It does not offer a certificate upon completion.

Oct 5th 2026

5-12 Weeks

Math Calculus Analytic Combinatorics