Online courses directory (19947)

Do you have some experience building apps for the iPhone or iPad and want to build an app from the ground up, but don't know where to begin? Look no further! In this course, you'll learn the process of building an iOS app, from brainstorming ideas to publishing on the App Store.

Persisting data is a core skill for any iOS developer. This course will teach you three techniques for storing data to your device’s hard drive: NSUserPreferences for small amounts of data, the Sandbox for files and Core Data when you have to play in the Big Leagues!

In this course, you’ll learn how to incorporate networking into your apps, so they can access data from around the world. You’ll learn how to harness the power of APIs to display images and retrieve movie data. At the end of the course, you’ll build the “On the Map” app which allows you to share interesting links, projects, or other information with fellow Udacity students.

Have you been dabbling with JavaScript but find your files keep turning into a mess of spaghetti code? Do you find yourself copying and pasting lines of code over and over throughout your application? Surely there’s a better way, right? Yes, there is a better way -- object-oriented programming will allow you to build websites using reusable blocks of code known as libraries, similar to using bricks to build a house. This course is designed to teach web developers how to utilize the various object-oriented programming features within JavaScript, and more importantly, how to write reusable and maintainable libraries that will make your life easier.

The Introduction to Data Science class will survey the foundational topics in data science, namely: * Data Manipulation * Data Analysis with Statistics and Machine Learning * Data Communication with Information Visualization * Data at Scale -- Working with Big Data The class will focus on breadth and present the topics briefly instead of focusing on a single topic in depth. This will give you the opportunity to sample and apply the basic techniques of data science. This course is also a part of our Data Analyst Nanodegree.

The world is trending in real time! Learn from Twitter to scalably process tweets, or any big data stream, in real-time to drive d3 visualizations using Apache Storm, the “Hadoop of Real Time.” Storm is free, open source, and fun to use! Learn from Karthik Ramasamy, Technical Lead of Storm@Twitter, about the distributed, fault-tolerant, and flexible technology used to power Twitter’s real-time data flow pipeline. Twitter open sourced Storm in 2011, and it graduated to a top-level Apache project in September, 2014. Starting from basic distributed concepts presented during our first Udacity-Twitter Storm Hackathon, link Storm concepts to Storm syntax to scalably drive Word Cloud visualizations with Vagrant, Ubuntu, Maven, Flask, Redis, and d3. Link to the public Twitter gardenhose stream to process live tweets, parse embedded URLs, and calculate Top worldwide hashtags. Extend beyond Storm basics by exploring multi-language capabilities in Python, integrate open source components, and implement real-time streaming joins. In your final project, follow real-time trending topics by implementing the data pipeline to visualize only tweets that contain Top worldwide hashtags. Extend your project by exploring the Twitter API, or any data source, alongside Hackathon participants as they design their own ideas, receive feedback from Karthik, and open source a final project calculating real-time tweet sentiment and geolocation to drive a U.S. Map.

In this course, you will build a series of simple apps to become more comfortable with the UIKit framework and master its most widely used components. This framework constitutes the building blocks of the user interface for all iOS apps, and is crucial for any iOS Developer to be intimately familiar with.

A quick, one-lesson introduction to the Unix-style command-line environment. This course is intended to get you up to speed on the shell — using a terminal, managing files and directories, and running command-line programs.

In this course you'll learn the fundamentals of responsive web design with Google's Pete LePage! You'll create your own responsive web page that works well on any device - phone, tablet, desktop or anything in between. You’ll start by exploring what makes a site responsive and how some common responsive design patterns work across different devices. From there, you’ll learn how to create your own responsive layout using the viewport tag and CSS media queries. As you proceed, you’ll experiment with major and minor breakpoints, and optimizing text for reading.

As a Python programmer, leveraging Flask allows you to quickly and easily build your own web applications. But before you share your apps on the Internet you should protect your users' data, ensuring information stored on your site is safe from unwanted manipulation. You could implement web security and permissions on your own, but relying on trusted providers is a faster, safer, and easier way to allow users to login to your application - without having to create and maintain another account, profile, and password. In this course, you will learn to implement the OAuth 2.0 framework to allow users to securely login to your web applications. You'll be provided a restaurant menu application created in Flask. By the end of this course, you will write the necessary code to implement Google+ Sign-In and Facebook Login in options so users can create restaurant menus that are viewable by everyone but only modifiable by the original creator.

In this course you will learn the fundamentals of back-end web development! You will create your own web application that queries a database for items on restaurant menus and then dynamically generates complete menus in the form of web pages and API endpoints. You’ll start by learning how to interact with a database from a web application using an Object-Relational Mapping (ORM) layer. From there, you’ll learn how GET and POST requests translate to CRUD operations. You’ll then explore the Flask framework and the various ways in which it can speed up the development of your applications. Finally, you’ll develop your very own web application from the ground up using the iterative development process.

This course is a quick, fun introduction to using a relational database from your code, using examples in Python. You'll learn the basics of SQL (the Structured Query Language) and database design, as well as the Python API for connecting Python code to a database. You'll also learn a bit about protecting your database-backed web apps from common security problems. After taking this course, you'll be able to write code using a database as a backend to store application data reliably and safely.

If you’ve ever hit performance issues that affect your app’s usability, this course will teach you how to identify and diagnose your performance problems. By the end of this course, you’ll be able to perform exploratory tests, run profiling tools, use outputs to navigate to problematic code, and design a plan of attack to mitigate poor performance. You’ll also gain a higher level of understanding about how program code and the Android platform interact, which will help you optimize for performance in the future.

This course is intended for budding full-stack web developers to master the basics of HTTP, the protocol that underlies all web technology. In this course, you'll explore HTTP directly, talking with web servers and browsers by hand. You'll write and deploy low-level web applications in Python. And you'll learn more about how HTTP connects with other web technologies.

So you’ve heard mobile is kind of a big deal, and you’re not sure how to transform your traditional desktop-focused web apps into fast, effective mobile experiences. This course is designed to teach web developers what they need to know to create great cross-device mobile web experiences. This course will focus on building mobile web apps, which will work across multiple platforms including Android, iOS, and others.

As the first course in the Android Developer Nanodegree, Developing Android Apps is the foundation of our advanced Android curriculum. This course blends theory and practice to help you build great apps the right way. In this course, you'll work with instructors step-by-step to build a cloud-connected Android app, and learn best practices of mobile development, and Android development in particular. ####[Download Udacity's Android app](https://play.google.com/store/apps/details?id=com.udacity.android) to keep learning wherever you go!

In this course we will build an iPhone app that records a conversation between you and a friend, and then makes your voices sound like a Chipmunk or Darth Vader. This course will introduce you to iOS app development in Swift, a new programming language from Apple, and serves as your launching point into the [iOS Developer Nanodegree](https://www.udacity.com/course/nd003).

Learn the fundamentals of data visualization and practice communicating with data. This course covers how to apply design principles, human perception, color theory, and effective storytelling to data visualization. If you present data to others, aspire to be an analyst or data scientist, or if you’d like to become more technical with visualization tools, then you can grow your skills with this course. The course does not cover exploratory approaches to discover insights about data. Instead, the course focuses on how to visually encode and present data to an audience once an insight has been found. This course is part of the Data Analyst Nanodegree.

Machine Learning is a first-class ticket to the most exciting careers in data analysis today. As data sources proliferate along with the computing power to process them, going straight to the data is one of the most straightforward ways to quickly gain insights and make predictions. Machine learning brings together computer science and statistics to harness that predictive power. It’s a must-have skill for all aspiring data analysts and data scientists, or anyone else who wants to wrestle all that raw data into refined trends and predictions. This is a class that will teach you the end-to-end process of investigating data through a machine learning lens. It will teach you how to extract and identify useful features that best represent your data, a few of the most important machine learning algorithms, and how to evaluate the performance of your machine learning algorithms. This course is also a part of our Data Analyst Nanodegree.

This course will cover the design and analysis of A/B tests, also known as split tests, which are online experiments used to test potential improvements to a website or mobile application. Two versions of the website are shown to different users - usually the existing website and a potential change. Then, the results are analyzed to determine whether the change is an improvement worth launching. This course will cover how to choose and characterize metrics to evaluate your experiments, how to design an experiment with enough statistical power, how to analyze the results and draw valid conclusions, and how to ensure that the the participants of your experiments are adequately protected.