Courses tagged with "Website Development" (161)

Though we may not recognize them in our everyday activities, databases are everywhere.  They are hidden behind your online banking profile, airline reservation systems, medical records, and even employment records.  This course will provide students with a general overview of databases, introducing you to database history, modern database systems, the different models used to design a database, and Structured Query Language (SQL), which is the standard language used to access and manipulate databases.   Many of the principles of database systems carry to other areas in computer science, especially operating systems.  Databases are often thought of as one of the core computer science topics, since many other areas in the discipline have been derived from this area.

This course is an upper division computer science course that studies the design of programming languages. While most of the industry uses either procedural or object-oriented programming languages, there are entire families of other languages with certain strengths and weaknesses that make them attractive to a variety of problem domains.  It is important to know about these less well-known yet powerful languages if you find yourself working in an area that could utilize their strengths.  In this course, we will discuss the entire programming language family, starting with an introduction to programming languages in general and a discussion of the features and functionality that make up the modern programming language.  From there, each unit will discuss a different family of programming languages, including Imperative, Object-Oriented, Functional, Scripting, and, Logical. For each language, you will learn about its computational model, syntax, semantics, and pragmatic considerations that shape the langua…

Apply the learned algorithms and techniques for data mining from the previous courses in the Data Mining Specialization to solve interesting real-world data mining challenges.

Learn how to transform information from a format efficient for computation into a format efficient for human perception, cognition, and communication. Explore elements of computer graphics, human-computer interaction, perceptual psychology, and design in addition to data processing and computation.

In this course, we will explore how to wrangle data from diverse sources and shape it to enable data-driven applications. Some data scientists spend the bulk of their time doing this! Students will learn how to gather and extract data from widely used data formats. They will learn how to assess the quality of data and explore best practices for data cleaning. We will also introduce students to MongoDB, covering the essentials of storing data and the MongoDB query language together with exploratory analysis using the MongoDB aggregation framework. This is a great course for those interested in entry-level data science positions as well as current business/data analysts looking to add big data to their repertoire, and managers working with data professionals or looking to leverage big data. This course is also a part of our Data Analyst Nanodegree.

Understanding how to approach programming problems and devise a solution is an essential skill for any Python developer. In this course, you’ll learn new concepts, patterns, and methods that will expand your coding abilities from programming expert, Peter Norvig.

Learn the basics of creating data products using Shiny, R packages, and interactive graphics. This is the ninth course in the Johns Hopkins Data Science Specialization.

Learn how to make effective decisions about your future career and how to take control of your professional development by honing your critical thinking and employability skills. Suitable for anyone undertaking some form of study, regardless of academic discipline, interests or employment background.

This course begins a series of classes illustrating the power of computing in modern biology. Please join us on the frontier of bioinformatics to look for hidden messages in DNA without ever needing to put on a lab coat. After warming up our algorithmic muscles, we will learn how to apply popular bioinformatics software tools to real experimental datasets.

In this class, we will compare DNA from an individual against a reference human genome to find potentially disease-causing mutations. We will also learn how to identify the function of a protein even if it has been bombarded by so many mutations compared to similar proteins with known functions that it has become barely recognizable.

This course teaches the fundamentals of Fog Networking, the network architecture that uses one or a collaborative multitude of end-user clients or near-user edge devices to carry out storage, communication, computation, and control in a network. It also teaches the key results in the design of the Internet of Things, including consumer and industrial applications.

Build a modern computer system, starting from first principles. The course consists of six weekly hands-on projects that take you from constructing elementary logic gates all the way to building a fully functioning general purpose computer. In the process, you will learn -- in the most direct and intimate way -- how computers work, and how they are designed.

Learn about functional programming, and how it can be effectively combined with object-oriented programming. Gain practice in writing clean functional code, using the Scala programming language.

The "Fundamentals of Computing" series concludes with a two-week course that reviews the series material and whose primary assessment is a cumulative "capstone" exam.

Biologists still cannot read the nucleotides of an entire genome as you would read a book from beginning to end. However, they can read short pieces of DNA. In this course, we will see how graph theory can be used to assemble genomes from these short pieces. We will further learn about brute force algorithms and apply them to sequencing mini-proteins called antibiotics. Finally, you will learn how to apply popular bioinformatics software tools to sequence the genome of a deadly Staphylococcus bacterium.

How do we infer which genes orchestrate various processes in the cell? How did humans migrate out of Africa and spread around the world? In this class, we will see that these two seemingly different questions can be addressed using similar algorithmic and machine learning techniques arising from the general problem of dividing data points into distinct clusters.

This course introduces concepts, languages, techniques, and patterns for programming heterogeneous, massively parallel processors. Its contents and structure have been significantly revised based on the experience gained from its initial offering in 2012. It covers heterogeneous computing architectures, data-parallel programming models, techniques for memory bandwidth management, and parallel algorithm patterns.

Effective use of version control is an important and useful skill for any developer working on long-lived (or even medium-lived) projects, especially if more than one developer is involved. This course, *built with input from GitHub*, will introduce the basics of using version control by focusing on a particular version control system called Git and a collaboration platform called GitHub. This course is part of the Front End and Full Stack Nanodegrees..

Helping you build human-centered design skills, so that you have the principles and methods to create excellent interfaces with any technology.

Helping you build human-centered design skills, so that you have the principles and methods to create excellent interfaces with any technology.