Online courses directory (19947)

This introductory computer science course in machine learning will cover basic theory, algorithms, and applications. Machine learning is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications. It enables computational systems to automatically learn how to perform a desired task based on information extracted from the data. Machine learning has become one of the hottest fields of study today and the demand for jobs is only expected to increase. Gaining skills in this field will get you one step closer to becoming a data scientist or quantitative analyst.

This course balances theory and practice, and covers the mathematical as well as the heuristic aspects. The lectures follow each other in a story-like fashion:

• What is learning?
• Can a machine learn?
• How to do it?
• How to do it well?
• Take-home lessons.

Every day, we see concrete used all around us – to build our houses, offices, schools, bridges, and infrastructure. But few people actually understand what gives concrete its strength, resistance, and utility.

The aim of this course is to offer basic cement chemistry to practitioners, as well as new students in the fields of chemistry and engineering.

You will learn how cement is made and hydrated, as well as the environmental and economical benefits it offers. You’ll learn to test your samples in isocalorimetry in order to track the hydration and to prepare and observe samples by scanning electron microscopy. In the last two weeks of the course, you will also learn how X-ray diffraction works and how to apply it to cements.

Because the course is designed for beginning students, it’s not necessary to have a cement background, however basic concepts in chemistry and crystallography will help. This course lasts 6 weeks, during which you can take theoretical courses and tutorials to test the cement in the laboratory.

Animal breeding involves the selective breeding of domestic animals with the intention to improve desirable (and heritable) qualities in the next generation. This course introduces the steps required to design a program for breeding animals and teaches the genetic and statistical concepts that are needed to build a solid breeding program.

In this course, you will learn how an animal breeder balances the need for improving the desirable qualities of the animals with the need for genetic diversity and long-term sustainability of the breeding program. You will learn about the scientific concepts in genetics that are applied in animal breeding, as well as how to apply the models and computational methods that are used in animal breeding.

Professionals working with animals will be able to use the knowledge from this course to understand the impact of breeding on animal populations and use genetic principles to make their decisions. This course will allow you an advanced starting point for further studies, such as M.Sc. level courses in breeding.

Knowledge of statistics at a 2nd or 3rd year university level is needed to follow this course successfully.

The course is developed with financial support and input from the Koepon Foundation (http://www.koeponstichting.nl/) and the African Chicken Genetic Gains project (https://africacgg.net/.)

Do you have a passion for buildings and want to contribute to a sustainable environment? Then this is your chance to make a difference! The biggest sustainability challenge for cities worldwide is adapting existing obsolescent buildings and making them future-proof. In this course, you will learn about adapting buildings for sustainability.

This course first introduces you to the challenging management task of redeveloping buildings for future use. Then you will learn how different management tools can be used to convert old buildings for sustainable reuse.

Prior experience with studies or jobs related to the built environment is not essential for this course, but will be a great advantage.

This MOOC is especially relevant for students who are interested in Real Estate, Project Management, Urban Planning, Architecture, Construction, Engineering, and Sustainability.

The course is taught by a multi-disciplinary team of instructors and professors with relevant practical and theoretical experience. You can use the practical knowledge you obtain during this course to tackle many challenges related to the built environment.

Learn to manage beta tests with the Centercode Connect platform.

In this introductory Java programming course, you will be introduced to powerful concepts such as functional abstraction, the object oriented programming (OOP) paradigm and Application Programming Interfaces (APIs). Examples and case studies will be provided so that you can implement simple programs on your own or collaborate with peers.

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 edition is an improved version of the course released in April 2015.

This course is part of the MITx MicroMasters program in Data, Economics, and Development Policy (DEDP). To audit this course, click “Enroll Now” in the green button at the top of this page.

To enroll in the MicroMasters track or to learn more about this program and how it integrates with MIT’s new blended Master’s degree, go to MITx’s MicroMasters portal. 

What is produced in an economy? How is it produced? Who gets the product? Microeconomics seeks to answer these fundamental questions about markets.

In this course, we’ll introduce you to microeconomic theory, together with some empirical results and policy implications. You’ll analyze mathematical models that describe the real-world behavior of consumers and firms, and you’ll see how prices make the world go ‘round.

You’ll join the ranks of business executives, policymakers, entrepreneurs, and global leaders who rely on the insights they derive from a working knowledge of microeconomics. Nobel memorial prize-winner Paul Samuelson invented the modern microeconomics curriculum at MIT. Now is your chance to learn the field from the intellectual tradition he began.

Topics include:

• Consumer theory
• Supply and demand
• Market equilibrium
• Producer theory
• Monopoly
• Oligopoly
• Capital markets
• Welfare economics
• Public goods
• Externalities

Are you one of those professionals who is curious and wants to learn about financial statements, but is intimidated by financial numbers and jargon? Then this course is for you!

In this course, we will demystify accounting jargon, help you understand financial statements and analyse them for better decisions. Whatever be your background – marketing, operations, supply chain, strategy, engineering or others, in today’s competitive world, you need to use and interpret crucial financial data for making informed decisions.

This course will enable you to:

1. Understand the various elements of financial statements
2. Apply accounting principles related to its preparation
3. Use tools and techniques to analyse and interpret the key parameters of financial performance

The course has direct application and high relevance in every professional’s life. Concepts learnt in the course can be applied in day to day management for improving operations and creating value for the organization. You will also be able to assess financial implications of your decisions.

The course will be covered in an easy, simple and interactive manner through various hands-on activities, short cases and easy-to-understand examples.

No previous finance knowledge is needed. Come armed with enthusiasm and curiosity to learn.

This course introduces different ways of managing finances within an organisation with the aim of enhancing business performance.

It will allow you to develop your knowledge and understanding of how to make financing and investment decisions and help you to understand:

• How organisations finance their operations
• How to plan and control cash flows
• How to make the best use of working capital
• The principles of making capital investment decisions

Completion of this course will also prepare you for the ACCA ‘Management Accounting’ exam (FMA/F2), which leads to a Diploma in Accounting and Business.

To check availability of this course in your country please click here.

This course does not offer an edX certificate.

Those learners who would like to earn an award will have the opportunity to register with ACCA as a student, take computer based exams and gain the ACCA Diploma in Accounting and Business.

You can find your nearest ACCA exam centre on the ACCA website.

As entrepreneur or innovator you are trained to run fast, but… are you running in the right direction?

Choosing the right market for your innovation is the biggest, and trickiest, question for innovators. Research has shown that all too often entrepreneurs don’t spend enough time identifying and researching their market opportunities – instead they jump at the first opportunity that looks good, and fail to properly evaluate and leverage other opportunities. This common mistake often leads them to choose the wrong market or lock themselves into one specific direction.

In this course, you will learn how to set a promising strategy, by using a business tool called the Market Opportunity Navigator.

This tool offers an easy to apply framework to better identify, evaluate and focus on the right market opportunities.

It  encompasses three simple steps, with dedicated worksheets to guide you through the process:

1. Search broadly-  to generate your set of market opportunities
2. Assess deeply- to evaluate your options and compare their attractiveness
3. Strategize smartly- to focus on the most attractive opportunity while remaining agile

This structured tool works for entrepreneurs and managers in established companies, when-ever they need to plan or rethink their strategy.

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. 

How to setup and manage an online registration system with LeagueAthletics.com's Sports Management Software.

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.