Online courses directory (19947)

Shakespeare’s work has influenced the way we think about our relationships and ourselves. His plays are still as relevant today as when they were written almost 400 years ago.

In this introductory course, you will learn how Shakespeare uses emotion in his plays, how his characters experience and manipulate emotions, and how the emotional resonance of the plays makes them powerfully relevant to the modern world.

As you follow and engage with the emotional journeys of characters in tragedy, comedy, tragicomedy, and history; you will discover patterns of plot, action, and speech that will help you appreciate, understand, and discuss Shakespeare’s plays.

Each week of the course will focus on a different emotion. You’ll cover the range of emotions found in Hamlet, A Midsummer Night’s Dream, Othello, The Winter’s Tale, and King Henry V.

This course includes interactive activities, and interviews with a range of people engaged creatively and professionally with Shakespeare’s plays. You’ll be encouraged to interpret Shakespeare in your own way - to find ‘your Shakespeare.’

You will learn how to read a Shakespeare play and gain the tools you need to interpret its language. You will also have the opportunity to experience what it’s like to direct scenes from the plays. And you’ll learn about the various kinds of Shakespearean drama, and the dramatic and poetic techniques Shakespeare uses to investigate the human condition.

This course provides a quantitative and model-based introduction to basic economic principles, and teaches how to apply them to make sense of a wide range of real world problems. Examples of applications include predicting the impact of technological changes in market prices, calculating the optimal gasoline tax, and measuring the value of new products. This is a real Caltech class. It will be taught concurrently to Caltech and on-line students. This has two implications. On the costs side: the class is challenging, makes extensive use of calculus, and will demand significant effort. On the benefit side: successful completion of the class will provide you with an in-depth understanding of basic economics, and will permanently change the way you see the world.

In this introductory course, you will learn programming with Java in an easy and interactive way.

You will learn about fundamental data structures, such as lists, stacks, queues and trees, and presents algorithms for inserting, deleting, searching and sorting information on these data structures in an efficient way.

Emphasis is put on immediate feedback and on having a fun experience. Programming knowledge is not only useful to be able to program today’s devices such as computers and smartphones. It also opens the door to computational thinking, i.e. the application of computing techniques to every-day processes.

This course is designed taking into account the subset and recommendations of the College Board in order to prepare learners for the Advanced Placement (AP) Computer Science A exam. 

A lite version for full pentesting course, grab n check the quality

This course will enable you to understand the workings of the Australian health care system. By following in the footsteps of patient journeys, you will gain an experiential understanding of how this multi-layered system operates in the context of the geographic, social and cultural landscapes of Australia and how to successfully navigate within this system.

This course will enable you to answer questions such as:

• Why are there multiple layers within this health care system?
• What are these layers and how are they funded?
• What is the role of insurance in this system?
• How are medicines regulated and made available in Australia?
• What services and roles are available in the Australian health care system?
• How can I facilitate patient journeys through the Australian health care system?

You will engage in many activities throughout this course to explore these and other questions.

Is your data protected against disaster? Database administrators, regardless of platform need to be ready, whether working with SQL Server 2016, SQL Server v.Next on Linux, or Azure SQL Databases.

In this course, which is part of the SQL Server Database Administration series, you’ll explore the various recovery models you can set up.

Learn about your choices for system backup, gaining understanding of how to back up and recover SQL Server 2016, SQL Server v.Next on Linux, and Azure SQL Databases. Then you’ll actually do a backup. Plus, get practical tips on how to restore a SQL Server database.

This computer science course introduces features and technologies for recovering data. Topics include: SQL Server Recovery Models, Backup of SQL Server Databases, and Restoring SQL Server Databases. 

Given the ever-expanding role of a SQL Server database administrator in today’s security landscape, it’s critical to know how to keep data secure.

In this course, part of the SQL Server Database Administration series, join the experts for a look at user authentication—who the users are—and authorization—what they are allowed to do. Plus, find out about auditing system access and data encryption, to make sure your data is properly secured.

You’ll examine these topics through the lenses of various platforms, comparing what they look like in SQL Server 2016, SQL Server v.Next on Linux, and Azure SQL Databases.

This computer science course introduces features and technologies for securing databases. Topics include: Authenticating Users and Connections, Authorizing Users to Access Resources, Auditing Access to Data, and Encrypting Data. You will learn how to secure data in SQL Server 2016, SQL Server v.Next on Linux, and Azure SQL Databases.

Humans have always sought to know their own future, be it the destiny of an empire or an individual's fate. Across cultures and history, we find people trying to find their place in the Universe by attempting to gaze into the future.

Join us for this one-week, immersive learning experience as we explore “pre-scientific” prediction systems ranging from ancient Chinese bone burning to the Oracle of Delphi to modern astrology and tarot, with practitioners and Harvard faculty leading the journey. We will examine the details of over a dozen prediction systems as well as theoretical frameworks connecting them.

This module is a part of PredictionX, which examines our efforts to predict the future over all of recorded history. PredictionX courses will cover topics from omens and oracles in ancient civilizations, which this course discusses, to the evolution of the general approach to science most take today (which includes the course John Snow and the Cholera Outbreak of 1854) as well as modern computer simulations and the role they play in predicting our futures today.

Machine learning uses computers to run predictive models that learn from existing data to forecast future behaviors, outcomes, and trends. Deep learning is a sub-field of machine learning, where models inspired by how our brain works are expressed mathematically, and the parameters defining the mathematical models, which can be in the order of few thousands to 100+ million, are learned automatically from the data.

Deep learning is a key enabler of AI powered technologies being developed across the globe. In this deep learning course, you will learn an intuitive approach to building complex models that help machines solve real-world problems with human-like intelligence. The intuitive approaches will be translated into working code with practical problems and hands-on experience. You will learn how to build and derive insights from these models using Python Jupyter notebooks running on your local Windows or Linux machine, or on a virtual machine running on Azure. Alternatively, you can leverage the Microsoft Azure Notebooks platform for free.

This course provides the level of detail needed to enable engineers / data scientists / technology managers to develop an intuitive understanding of the key concepts behind this game changing technology. At the same time, you will learn simple yet powerful “motifs” that can be used with lego-like flexibility to build an end-to-end deep learning model. You will learn how to use the Microsoft Cognitive Toolkit — previously known as CNTK — to harness the intelligence within massive datasets through deep learning with uncompromised scaling, speed, and accuracy.

This course begins with an overview of the mortgage backed securities market.  We’ll learn about the characteristics of mortgage-backed securities and identify the factors that cause U.S. mortgage-backed securities to be considered a different category of fixed income securities compared to asset-backed securities.

We’ll learn about the U.S. mortgage agencies and be able to distinguish among them regarding their legal status, nature of the guarantees they offer and types of mortgages they securitize. We’ll look at the basic features of agency pass-through securities and collateralized mortgage obligations (CMOs) and how their structural differences impact cash flows received by investors. We’ll also get familiarized with mortgage-related terminology such as non-recourse debt, underwater mortgages and short sales as well as their implications for mortgage loans and their consequences for the risk and expected returns to investors in mortgage-backed securities and learn about the main aspects involved in the creation of an agency pass-through security.

We’ll learn about mortgage cash flows and prepayments and also learn how the interaction between prepayment risk and reinvestment risk adversely impacts holders of pass-through securities in both rising and falling interest rate environments. We’ll learn how to distinguish between rate of return and the different yields associated with mortgage-backed securities and get introduced to the commonly used prepayment benchmarks for expressing prepayment speeds. We’ll wrap up this course with an understanding of bond math, spreads used in assessing the risk and relative value, option-adjusted spread and collateralized mortgage obligations.

This course is part 1 of the New York Institute of Finance’s Mortgage Backed Securities (MBS) Professional Certificate program.

In this course we’ll learn the key features of the most common types of tranches in agency CMOs:

• Z (accrual) bond tranches
• PAC (planned amortization class) tranches
• TAC (targeted amortization class) tranches

We’ll cover the primary differences between non-agency and agency CMOs and identify the main types of internal credit enhancements commonly used in non-agency CMOs. We’ll also learn how to contrast credit risk, prepayment risk and the typical amount of credit enhancements for different types of collateral, especially prime jumbo and subprime mortgage securitizations.

Next, we’ll look at the structure and purpose for creating Giants (FHLMC), Megas (FNMA) and Platinum securities (GNMA) and understand what we mean by reverse mortgages. We’ll review the structural similarities and differences of commercial mortgage-backed securities (CMBS) with both agency and non-agency CMOs and look at the common features of the structured payouts on CMBS including IO strips and super-senior tranches.

This course also describes types of agency multi-family securitizations, the various ways of structuring the collateral pool and the payouts to investors and the characteristics of TBA (to be announced) trading and specified (spec) trading. We’ll review the factors that cause the prices of specified trades and TBA trades to differ, and the forward pricing of TBA trades based on (cost of) carry considerations, structure of a dollar roll, and the factors that determine the attractiveness of dollar rolls to investors holding MBS. We’ll wrap up this course with an understanding of ARMs (Adjustable Rate Mortgages) and Hybrids (Hybrid Adjustable Rate Mortgages).

This course is part 2 of the New York Institute of Finance’s Mortgage Backed Securities (MBS) Professional Certificate program. This course will begin with a review of the first course in this program, Mortgage Backed Securities (MBS): Part I. 

Ready to earn a professional certificate and stand out in your field?

If you’ve gained a clear, comprehensive understanding of the concepts and theories, your next step is to complete the Mortgage Backed Securities Professional Certificate Examination from the New York Institute of Finance.

The exam comprises 70 questions, timed at two hours. To qualify for the certificate, learners must receive a grade of at least 70% or better.

Prerequisite for this exam:

Earn a Verified Certificate in both parts of the Mortgage Backed Securities program from NYIF:

• Mortgage Backed Securities (MBS): Part I
• Mortgage Backed Securities (MBS): Part II

La Codificación de Audio (también conocida como compresión de audio) es una representación digital de las señales de sonido para ser almacenadas o transmitidas por cualquier medio digital. En este proceso se busca siempre ocupar el mínimo número de bits posible para poder transmitirla por canales limitados en velocidad o bien poder almacenar muchos sonidos o música en el menor espacio posible. Todo ello se debe realizar manteniendo una calidad de sonido cada vez más exigente y, en los últimos años, permitiendo sistemas más avanzados que el estéreo que proporcionan sonido espacial. En este curso veremos los estándares más conocidos, como el MP3, así como otros formatos superiores aparecidos en los últimos años.

Unidades:

• Sección 1: Digitalización y compresión de audio, ¿cómo afecta a nuestra percepción?
• Sección 2: Escalas auditivas y tipos de compresión
• Sección 3: Estándares MPEG de compresión de audio
• Sección 4: Codificadores avanzados de audio
• Sección 5: Evaluación de codificadores

Want to learn how to think clearly about important financial decisions and improve your financial literacy? Finance for Everyone will showcase the beauty and power of finance. This introductory finance course will be a gateway into the world of finance and will examine multiple applications to apply to your everyday life. Join us to better understand how to apply frameworks and tools to make smart financial choices.

You will be able to value the impact of different choices available to you: from renting or buying, evaluating car, home and student loans, or deciding whether to go to college versus pursuing a new idea to simply understanding how the financial world works.

Starting with time value of money, the course will help you develop a full appreciation for the many applications of finance. Using real world examples, the course will enable you to understand and analyze many personal and professional decisions we confront on a daily basis. You will understand stocks and bonds, learn to allocate scarce resources in a value-add way, and adopt smart tools for making every day decisions.

Finance is simultaneously a way of thinking and a set of tools. Finance is everywhere. There are no prerequisites for this course except for a sense of curiosity and a positive attitude. However, a comfort level with algebra and numbers and an understanding of accounting (the language of business) will clearly help. We will, however, try to cover everything starting with fundamentals and highlight when there is a need to do some further work in specific subjects.

In this course, we’ll trace the evolution of the rocket, from rudimentary battlefield weapon to essential vehicle in the exploration of space.

Beginning with Germany’s effort to avoid the restrictions of the Treaty of Versailles by developing rockets, you will learn how Wernher von Braun led the German effort during WWII. The course will then follow several parallel paths, including simultaneous rocket development in the US and in the Soviet Union, home of another rocket engineering genius, Sergei Korolev.

The end of WWII saw both the US and Soviet Union in a rush to acquire as much rocket technology as possible. You’ll learn how the Cold War between the US and the Soviet Union drove this development and the roles both von Braun and Korolev played in the creation of these advanced rockets.

The course then traces how von Braun and Korolev led the transformation from rockets of war to rockets for space exploration. Von Braun’s and Korolev’s contributions created the space age.

You will learn how Korolev’s R-7, the world’s first intercontinental ballistic missile became the launch vehicle for the world’s first artificial satellite, Sputnik. And you will learn how in the US, now working with Von Braun, used the Redstone ballistic missile to launch their first satellite, called Explorer.

The course culminates with the formation of NASA and America’s official entry it what would soon be called the “Space Race” between the US and the Soviet Union.

With identity as the new perimeter in today’s security landscape, it’s important to keep up on the latest ways to manage it. Identity—which defines what protocols you’re allowed to use, who you’re allowed to interact with, and what you’re allowed to do—has evolved significantly in the last few years.

In this security course, go beyond the firewall and ports, and learn practical steps and prescriptive guidance on identity management, based on proven, real-world experience from Microsoft Incident Response teams.

Start with a conceptual look at identity, explore Active Directory best practices, find out how to secure Azure Active Directory, and then get hands-on with a combination of videos, text, and hosted labs.

You will create a protective bastion host for an existing domain, configure Privilege Access Management (PAM) and Just in Time Administration (JIT), install JRE, and set up Microsoft Identity Manager. With successful course completion, you will understand the hows and whys of improving the security posture of your environment, and get started implementing and managing identity as part of your cybersecurity defense plan.

This course is part of the Microsoft Professional Program Certificate in Big Data, and the Microsoft Professional Program Certificate in Data Science.

Excel is one of the most widely used solutions for analyzing and visualizing data. It now includes tools that enable the analysis of more data, with improved visualizations and more sophisticated business logics. In this data science course, you will get an introduction to the latest versions of these new tools in Excel 2016 from an expert on the Excel Product Team at Microsoft.

Learn how to import data from different sources, create mashups between data sources, and prepare data for analysis. After preparing the data, find out how business calculations can be expressed using the DAX calculation engine. See how the data can be visualized and shared to the Power BI cloud service, after which it can be used in dashboards, queried using plain English sentences, and even consumed on mobile devices.

Do you feel that the contents of this course is a bit too advanced for you and you need to fill some gaps in your Excel knowledge? Do you need a better understanding of how pivot tables, pivot charts and slicers work together, and help in creating dashboards? If so, check out DAT205x: Introduction to Data Analysis using Excel.

This course is also a part of the Microsoft Excel for the Data Analyst XSeries. 

This course is part of the Microsoft Professional Program Certificate in Data Science.

In this data science course, you will explore the theory and practice of select advanced methods commonly used in data science.

In the first two modules, you will learn about common applications of specialized data types. Then, in the remaining two modules, you will focus on unstructured data. You will work with tools such as R, Python, and Azure Machine Learning to solve advanced data science problems.

This technology-agnostic course begins by explaining the benefits of distributed cloud applications with an emphasis on maintaining high-availability and scalability in a cost-effective way while also dealing with inevitable hardware and software failures. Then, the course moves on to:

• Microservices and containers
• Networking communication
• Messaging communication
• Versioning, upgrading and configuration
• Data storage services
• Disaster recovery

This course is for anyone considering or actively working on a distributes cloud application. It is designed to provide you with a thorough understanding of these concepts, the various pros and cons of specific technologies, and the resilient patterns that are heavily used by distributed cloud applications. This knowledge will help you to easily build cost-efficient and fault-tolerant systems.

The course contains labs to practice your learning, review questions for self-assessment, and a final exam to validate learning. A score of 70% is required to pass the final exam and receive a certificate for the course.

In this course, you'll learn all about back-end web development so that you can turn a basic web app prototype into something that can store live data. We'll cover the basics of Node.js so that you can write JavaScript code to build the back-end of your app, as well as the basics of SQL and SQLite to write queries to work with a database. By the end of this course, you'll have a functional web app prototype that can be accessed on the Web.

Upon completion of this course, you will be able to:

• Distinguish between front-end and back-end within the context of web app development
• Create a back-end web server using Node.js
• Understand the uses and types of databases and DBMSs
• Construct SQL queries to perform CRUD operations on a database
• Deploy a web app on Azure