In this beginner level project, you will implement and build ATM user interface using routing, understand Parent and Child Routing and understand WildCard Routes in Angular which will be helpful in applying routing and navigating pages in modern web layouts. The pre-requisite for this guided project is have background in HTML,CSS, JavaScript/TypeScript and basics on building blocks of Angular Applications.

In this guided project you will learn how to import textual data stored in raw text files into R, turn these files into a corpus (a collection of textual documents), reshape them into paragraphs from documents and tokenize the text all using the R software package quanteda. You will then learn how to classify the texts using the Naive Bayes algorithm. This guided project is for beginners interested in quantitative text analysis in R. It assumes no knowledge of textual analysis and focuses on exploring textual data (US Presidential Concession Speeches). Users should have a basic understanding of the statistical programming language R.

In this 1-hour long project-based course, you will learn some of the advanced features of Django testing framework. For a given sample Django project, you will learn how to feed the testing database with data using fixtures. You will use different methods to customize the project-wide settings during a test. You will learn how to test form submission, and understand how to test the response object for strings. In particular, you will use the Beautiful Soup python library to test the response object for the presence of HTML tags. Finally, you will learn how to instruct Django to skip tests. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

In this 1-hour long project-based course, you will have created a Boggle Word Solver in Python by defining various functions that load a 4x4 game board based on input, recursively searches in all allowed directions for plausible words using Depth First Traversal, and then prints out the valid words based on length constraints and by cross-checking whether the word exists in the stored dictionary. You will also learn to store the dictionary in a trie data structure which makes for more efficient lookups. This guided project is aimed at learners who are wanting to learn or practice recursion and graph traversal concepts in Python by developing a fun game. Understanding DFS and recursion is essential and will greatly expand your programming potential as they are used at the base of various algorithms. Implementing a prefix tree will also help you understand a new efficient data structure. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

This course teaches computer programming to those with little to no previous experience. It uses the programming system and language called MATLAB to do so because it is easy to learn, versatile and very useful for engineers and other professionals. MATLAB is a special-purpose language that is an excellent choice for writing moderate-size programs that solve problems involving the manipulation of numbers. The design of the language makes it possible to write a powerful program in a few lines. The problems may be relatively complex, while the MATLAB programs that solve them are relatively simple: relative, that is, to the equivalent program written in a general-purpose language, such as C++ or Java. As a result, MATLAB is being used in a wide variety of domains from the natural sciences, through all disciplines of engineering, to finance, and beyond, and it is heavily used in industry. Hence, a solid background in MATLAB is an indispensable skill in today’s job market. Nevertheless, this course is not a MATLAB tutorial. It is an introductory programming course that uses MATLAB to illustrate general concepts in computer science and programming. Students who successfully complete this course will become familiar with general concepts in computer science, gain an understanding of the general concepts of programming, and obtain a solid foundation in the use of MATLAB. Students taking the course will get a MATLAB Online license free of charge for the duration of the course. The students are encouraged to consult the eBook that this course is based on. More information about these resources can be found on the Resources menu on the right.

Gamification is the application of game elements and digital game design techniques to non-game problems, such as business and social impact challenges. This course will teach you the mechanisms of gamification, why it has such tremendous potential, and how to use it effectively. For additional information on the concepts described in the course, you can purchase Professor Werbach's book For the Win: How Game Thinking Can Revolutionize Your Business in print or ebook format in several languages.

The Unordered Data Structures course covers the data structures and algorithms needed to implement hash tables, disjoint sets and graphs. These fundamental data structures are useful for unordered data. For example, a hash table provides immediate access to data indexed by an arbitrary key value, that could be a number (such as a memory address for cached memory), a URL (such as for a web cache) or a dictionary. Graphs are used to represent relationships between items, and this course covers several different data structures for representing graphs and several different algorithms for traversing graphs, including finding the shortest route from one node to another node. These graph algorithms will also depend on another concept called disjoint sets, so this course will also cover its data structure and associated algorithms.

In this 2-hour long project-based course, you will learn how to create an interactive story game with the leading open source interactive fiction development platform Twine. You will learn how to create an interactive detective story, setting up variables, creating character sheet, inventory and clues, rolling dice and incorporating an RPG-style fighting mechanism. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Learn how to manage the lifecycle and data collections of mobile applications. Compare different methodologies for organizing and architecting Android applications and the implications on code quality and team velocity. You will follow the lifecycle activities of fragments from the source of generation and learn how to respond. You will do this by reviewing the Android lifecycle. You’ll review and apply different types of Kotlin user interface (UI) interactivity from user input handling to gestures. You’ll get to practice different aspects of working with data in an Android application and you’ll build out a lifecycle and data.

Machine learning (ML) is one of the fastest growing areas in technology and a highly sought after skillset in today’s job market. The World Economic Forum states the growth of artificial intelligence (AI) could create 58 million net new jobs in the next few years, yet it’s estimated that currently there are 300,000 AI engineers worldwide, but millions are needed. This means there is a unique and immediate opportunity for you to get started with learning the essential ML concepts that are used to build AI applications – no matter what your skill levels are. Learning the foundations of ML now, will help you keep pace with this growth, expand your skills and even help advance your career. This course will teach you how to get started with AWS Machine Learning. Key topics include: Machine Learning on AWS, Computer Vision on AWS, and Natural Language Processing (NLP) on AWS. Each topic consists of several modules deep-diving into variety of ML concepts, AWS services as well as insights from experts to put the concepts into practice.