Online courses directory (19947)

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.

This course is a journey into the biology of the human genome and will highlight the scientific, social, and personal perspectives of people living with a variety of traits.

In this introductory course, you'll learn and practice essential computer science concepts using the Java programming language. You'll learn about Object Oriented Programming, a technique that allows you to use code written by other programmers in your own programs. You'll put your new Java programming skills to the test by solving real-world problems faced by software engineers.

Introduction to Psychology is a journey through all of the major psychological concepts and principles. The knowledge gained from this course will allow students to critically evaluate psychological research and have a more in-depth understanding of human thought and behavior.

In this course you'll learn how to write JavaScript applications with confidence, using the red-green-refactor workflow. You'll write comprehensive suites of tests that validate your application is functioning as intended at all times. You'll start by exploring how other industries use a variety of tests and the value it provides. You'll then start writing your very own tests, using the Jasmine testing framework. Finally, you'll start developing your very own address book application using the red-green-refactor workflow and explore a variety of scenarios including testing asynchronous functions.

This course covers methods for organizing your code, both conceptually and literally. You’ll learn the importance of separating concerns when writing JavaScript, gaining hands-on experience along the way. Separating concerns can be done with or without an organizational library or framework. We’ll learn how to separate concerns without one, and then we’ll explore an organizational library together. You’ll also learn strategies for exploring other libraries and frameworks on your own. By the end of this course, you’ll understand (from experience) the importance of code organization, and how to implement it with either vanilla JavaScript or an organizational library or framework. Your applications will start looking clean and professional—not just to your users, but also to anyone who looks at the code driving your applications.

You will learn about challenges of building applications that can serve hundreds of thousands of users, and how you can prepare for them as a developer. And more importantly - you will learn how to harness the power of **App Engine** - Platform as a Service, run by Google, so you can focus on your application's features, not on managing infrastructure that runs your app. Let Google run and scale the infrastructure and do what you do best - write code! However, to use App Engine effectively, you have to learn how it works, and this is exactly what this course will teach! You will also learn the best practices of using Cloud Endpoints that allow you to easily create API services and make them accessible to iOS, Android and Javascript clients. They allow you to automatically generate client libraries to make wiring up the frontend easy. And there are some nifty built-in features, like denial-of-service protection and OAuth 2.0 support.

Did you know that images account for more than **60%** of the bytes on average needed to load a web page? In this course you will learn how to work with images on the modern web, so that your images look great and load quickly on any device. Along the way, you will pick up a range of skills and techniques to smoothly integrate responsive images into your development workflow. By the end of the course, you will be developing with images that adapt and respond to different viewport sizes and usage scenarios.

Performance matters to users. Web developers need to build apps that react quickly and render smoothly. Google performance guru Paul Lewis is here to help you destroy jank and create web apps that maintain 60 frames per second performance. You'll leave this course with the tools you need to profile apps and identify the causes of jank. You'll explore the browser's rendering pipeline and uncover patterns that make it easy to build performant apps.

This course provides a brief review of introductory algebra topics. Topics to be covered include integer operations, order of operations, perimeter and area, fractions and decimals, scientific notation, ratios and rates, conversions, percents, algebraic expressions, linear equations, the Pythagorean theorem, and graphing.

In this course, we will see all the advances that have led to the state-of-the-art operating system that we know today, covering variety of platforms -- cell phones, multi-core, parallel systems, distributed systems, and cloud computing.

Inferential statistics allows us to draw conclusions from data that might not be immediately obvious. This course focuses on enhancing your ability to develop hypotheses and use common tests such as t-tests, ANOVA tests, and regression to validate your claims.

We use websites all the time, but how does clicking a link in your browser or typing in a URL in the address bar get you to a website? How does the server know what information you're looking for or how to send you that information once it's figured that out? How can you protect your users from attackers? Dig into this course and you'll be able to answer these questions! This course will guide you through how a client communicates with a server. You'll learn about HTTP's request and response cycle, dig into HTTP headers and verbs, distinguish HTTP/1 from HTTP/2 capabilities, all while experiencing the importance of security by digging into the details of HTTPS. Throughout the course, you'll learn both security best practices, as well as ways to improve the performance of your web apps. We'll provide you with handcrafted servers where you'll diagnose problematic server setups, issues with SSL certificates, and even have a chance to hack an example bank website to transfer funds.

Vitally important for building the best possible mobile app, the Location and Context API allows your Android app behavior to change based on location. In this course, you’ll learn how to implement this with the Fused Location Provider, which gives you much more than simple GPS. You’ll also learn about Activity recognition, which allows you to tailor your app to what the user is doing. Finally, you’ll learn about Geofencing, and how location services work alongside geofences to allow you to build apps that could be used for augmented reality! **This course is part of the Google Play Services series, which features a variety of different Google APIs. Designed as standalone short courses, you can take any course on its own, or take them all!** * **Google Location Services on Android** [this course] * Google Analytics for Android * App Monetization with Display Advertising * Add Google Maps to your Android App

Artificial Intelligence (AI) is a field that has a long history but is still constantly and actively growing and changing. In this course, you’ll learn the basics of modern AI as well as some of the representative applications of AI. Along the way, we also hope to excite you about the numerous applications and huge possibilities in the field of AI, which continues to expand human capability beyond our imagination. ***Note: Parts of this course are featured in the Machine Learning Engineer Nanodegree and the Data Analyst Nanodegree programs. If you are interested in AI, be sure to check out those programs as well!***

Math is everywhere. In this class, you’ll gain an in-depth understanding of algebraic principles, many of which you may have seen before, and learn how to use them to solve problems that we encounter in everyday life. The online version of College Algebra will cover all of the topics that you would see in more traditional class formats, but it will present the material in a way that we hope you’ll find fresh and interesting. You will learn about functions, polynomials, graphing, complex numbers, exponential and logarithmic equations, and much more, all through exploring real-world scenarios.

Statistics is an important field of math that is used to analyze, interpret, and predict outcomes from data. Descriptive statistics will teach you the basic concepts used to describe data. This is a great beginner course for those interested in Data Science, Economics, Psychology, Machine Learning, Sports analytics and just about any other field.

Google offers APIs that allow you to access many of its popular services, including Location, Maps, Analytics, Advertising, Identity, and more. In this course, you’ll learn how to access these services, and build better apps!

Canvas is an HTML5 element which gives you drawable surface inside your web pages you can control with JavaScript. Powerful enough to use for compositing images and even creating games. In this course, through several sample projects, you’ll learn how to use the canvas; how to make compositions using shapes, images, and text; how to create effects and filters on images and how to create animations.