By the end of this project, you will set up a GraphQL server with a MongoDB backend. You will use a GraphQL tool to test queries against the API. GraphQL is a more flexible replacement for a traditional REST API.

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms. All the features of this course are available for free. It does not offer a certificate upon completion.

In this 1-hour long project-based course, you will learn how to start in your computer programming path using one of the most relevant programming languages: C#. You will get a good understanding on the basics of how Visual Studio 2019 compiles console-based programs. Finally, this class will pave the way to expanding intermediate C# concepts by creating a good foundation for you in very important concepts such as C# data types, decision making, looping and C# methods. 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, we will introduce fundamental programming concepts and terminology to students who have never programmed before. You will be exposed to the basic coding structures such as assignment statements, variables, constants, decision making statements, loops, and arrays in C# Console applications. By successfully completing the hands-on practices assigned, you will understand why and when to apply these basic programming concepts and be better prepared for taking other computer programming courses in any language.

Machine learning is the foundation for predictive modeling and artificial intelligence. If you want to learn about both the underlying concepts and how to get into building models with the most common machine learning tools this path is for you. In this course, you will learn the core principles of machine learning and how to use common tools and frameworks to train, evaluate, and use machine learning models. This course is designed to prepare you for roles that include planning and creating a suitable working environment for data science workloads on Azure. You will learn how to run data experiments and train predictive models. In addition, you will manage, optimize, and deploy machine learning models into production. From the most basic classical machine learning models, to exploratory data analysis and customizing architectures, you’ll be guided by easy -to-digest conceptual content and interactive Jupyter notebooks. If you already have some idea what machine learning is about or you have a strong mathematical background this course is perfect for you. These modules teach some machine learning concepts, but move fast so they can get to the power of using tools like scikit-learn, TensorFlow, and PyTorch. This learning path is also the best one for you if you're looking for just enough familiarity to understand machine learning examples for products like Azure ML or Azure Databricks. It's also a good place to start if you plan to move beyond classic machine learning and get an education in deep learning and neural networks, which we only introduce here. This program consists of 5 courses to help prepare you to take the Exam DP-100: Designing and Implementing a Data Science Solution on Azure. The certification exam is an opportunity to prove knowledge and expertise operate machine learning solutions at cloud scale using Azure Machine Learning. This specialization teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure . Each course teaches you the concepts and skills that are measured by the exam.

This course is designed to help Scrum beginners become more proficient with Agile Scrum. This course explores layering other Agile methodologies on top of Scrum. This is the fourth course in the Certified Scrum Master specialization. We recommend completing the first three courses before beginning this one.

In Java, as in other programming languages, a decision construct is used to control the sequence of instructions that are executed under certain conditions. It allows the programmer the power to take certain actions based on various input conditions. In this project you will create an application that yields a zodiac sign based on an input of birth month and day. 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.

By the end of this project you will implement a C program that determines how many words, characters, and lines are in a file using C control constructs. The C programming language is the basis for many other programming languages. Its syntax has been used in languages such as C++, Java, and C# to name a few. All these languages utilize control constructs such as the decision constructs and loop constructs. C is still the language of choice for writing Operating systems, games, and many other applications where performance is critical. 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 is a self-paced lab that takes place in the Google Cloud console. In this advanced lab you will create and run an Apache Airflow workflow in Cloud Composer that exports tables from a BigQuery dataset located in Cloud Storage bucktes in the US to buckets in Europe, then import th0se tables to a BigQuery dataset in Europe.

R Programming Capstone