Tables, Data & Networking in iOS (Coursera)

Offered by LearnQuest,
Tables, Data & Networking in iOS (Coursera)

In this course you will learn how to work with data in iOS. Data is the key ingredient for any functional app and one must learn how to properly display it to the user. You will learn how to use tables and collection views to display data to users, and how to use Core Data to build more robust, data-driven applications.

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

Every app must have data. Making web requests is by far the most common thing you will do as an iOS developer. You will learn how to get your apps working with servers and external data. Throughout the course, you will create a ToDo app, including learning how to decode data from a web server as well as how to make POST requests.
Course 3 of 4 in the Swift 5 iOS Application Developer Specialization.
What You Will Learn

  • How to create memory-efficient tables and display data in a list
  • How to model data and create database relationships
  • How to persist and fetch data
  • How to use APIs and communicate with web servers

Syllabus

WEEK 1
Coder Swag App: Working With Tables
In this module you will learn the basics of working with data in iOS. Data is the key ingredient for any functional app and one must learn how to properly display it to the user. You will learn how to use tables and collection views to display data to users.

WEEK 2
Goal Post App: Working With Core Data
Having data to present in your app is important. But it can be equally important to know how to persist the data to your phone even after the app is closed. In this module you will learn how to use Core Data to build more robust, data-driven applications.

WEEK 3
ToDo App: Network Requests & APIs
You really don't have an app unless you have data. Making web requests is by far the most common thing you will do as an iOS developer. In this module you will learn how to get your apps working with servers and external data.

WEEK 4
Decoding, Async, & POST Requests
In this module you will finish the ToDo app by learning how to decode data from a web server as well as how to make POST requests.

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

Related Courses

Functional Program Design in Scala (Scala 2 version) (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Functional Program Design in Scala (Scala 2 version) (Coursera)

In this course you will learn how to apply the functional programming style in the design of larger Scala applications. You'll get to know important new functional programming concepts, from lazy evaluation to structuring your libraries using monads. We'll work on larger and more involved examples, from state space exploration to random testing to discrete circuit simulators. You’ll also learn some best practices on how to write good Scala code in the real world. Finally, you will learn how to leverage the ability of the compiler to infer values from types.

Oct 5th 2026
5-12 Weeks
An Introduction to Interactive Programming in Python (Part 1) (Coursera) Coursera
Rice University

An Introduction to Interactive Programming in Python (Part 1) (Coursera)

This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple.

Oct 5th 2026
5-12 Weeks
Python Data Visualization (Coursera) Coursera
Rice University

Python Data Visualization (Coursera)

This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data. This course will combine the skills learned throughout the specialization to enable you to write interesting, practical, and useful programs.

Oct 2nd 2026
4 Weeks
Data and Health Indicators in Public Health Practice (Coursera) Coursera
Johns Hopkins University

Data and Health Indicators in Public Health Practice (Coursera)

Epidemiology is often described as the cornerstone science in public health. Epidemiology in public health practice uses study design and analyses to identify causes in an outbreak situation, guides interventions to improve population health, and evaluates programs and policies. In this course, we'll define the role of the professional epidemiologist as it relates to public health services, functions, and competencies. With that foundation in mind, we'll introduce you to the problem solving methodology and demonstrate how it can be used in a wide variety of settings to identify problems, propose solutions, and evaluate interventions.

Oct 5th 2026
4 Weeks
Programming Languages, Part B (Coursera) Coursera
University of Washington

Programming Languages, Part B (Coursera)

This course is an introduction to the basic concepts of programming languages, with a strong emphasis on functional programming. The course uses the languages ML, Racket, and Ruby as vehicles for teaching the concepts, but the real intent is to teach enough about how any language “fits together” to make you more effective programming in any language -- and in learning new ones. This course is neither particularly theoretical nor just about programming specifics -- it will give you a framework for understanding how to use language constructs effectively and how to design correct and elegant programs.

Sep 28th 2026
3 Weeks
Foundations of Data Science: K-Means Clustering in Python (Coursera) Coursera
University of London,Goldsmiths, University of London

Foundations of Data Science: K-Means Clustering in Python (Coursera)

This MOOC, designed by an academic team from Goldsmiths, University of London, will quickly introduce you to the core concepts of Data Science to prepare you for intermediate and advanced Data Science courses. It focuses on the basic mathematics, statistics and programming skills that are necessary for typical data analysis tasks.

Oct 5th 2026
5-12 Weeks
Introduction à la programmation orientée objet (en Java) (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Introduction à la programmation orientée objet (en Java) (Coursera)

Ce cours introduit la programmation orientée objet (encapsulation, abstration, héritage, polymorphisme) en l'illustrant en langage Java. Il présuppose connues les bases de la programmation (variables, types, boucles, fonctions, ...). Il est conçu comme la suite du cours « Initiation à la programmation (en Java) ».

Oct 11th 2026
5-12 Weeks