Upcoming Paid Online Courses (23)
The exciting field of Cloud Computing is rapidly changing how businesses operate today. Cloud computing provides rapid access to shared pools of resources, such as: compute, storage, networks, applications, services, or libraries using an on-demand, utility-based model. The characteristics of a cloud computing model include: self-service, network access, resource pools, rapid elasticity, and metered resource usage. As with any large-scale shift, new skills and processes must be learned and implemented to overcome management challenges. Existing business processes, workflows, and policies must be adapted to account for this new technology.
This course, part of the Cloud Computing MicroMasters program, focuses on commonly encountered management issues with the adoption and implementation of cloud computing. Examples include: Cloud migration, Cloud Requests for Proposals, Cloud Service Level Agreements, and other business process compliance issues.
You will examine these issues in depth, then review industry best practices and other case studies to develop the techniques that address and mitigate them. Business processes such as procurement, vendor management, and end-user management are also covered.
Organizations now have access to massive amounts of data and it’s influencing the way they operate. They are realizing in order to be successful they must leverage their data to make effective business decisions.
In this course, part of the Big Data MicroMasters program, you will learn how big data is driving organisational change and the key challenges organizations face when trying to analyse massive data sets.
You will learn fundamental techniques, such as data mining and stream processing. You will also learn how to design and implement PageRank algorithms using MapReduce, a programming paradigm that allows for massive scalability across hundreds or thousands of servers in a Hadoop cluster. You will learn how big data has improved web search and how online advertising systems work.
By the end of this course, you will have a better understanding of the various applications of big data methods in industry and research.
Have you ever wondered about the right methods to improve productivity, configure your supply chain or address the demand on hand?
In recent years, businesses have strived to improve productivity and quality, reduce costs and delivery times, and embrace flexibility and innovation. These strategies are part of the Operations Management (OM) activities that service and manufacturing organizations engage in.
Operations Management helps you to understand the role of OM in a firm and to develop abilities to structure and solve operations related problems. The course will empower you with skills to address important aspects of business operations including capacity, productivity, quality, and supply chain.
You will understand how operations in an organization are configured and factors that can potentially drive the complexity of managing such operations. We will also introduce concepts like estimating capacity, identifying bottlenecks, and de-bottlenecking.
Throughout the course, you will join us in discussions on productivity improvement methods, development of quality assurance systems and configuration of supply chains.
The course will equip you with the right tools, techniques and skills to estimate, compute, analyze and configure key elements of operations management.
Are you a student, professional, educator, home-maker or someone who dreams of someday starting your own venture?
This hands-on, action oriented business and management course will introduce you to a systematic, scientific and an easy process of testing your ideas and opportunities you envision.
You will learn the “DO your Venture” ideology, which will teach you common paths entrepreneurs take when launching their own venture. You will also learn the tools and techniques for generating ideas and then test your ideas in the field and gather feedback.
The course will end with a focus on the Lean Canvas business model and effectuation, which is a set of decision-making principles expert entrepreneurs use in situations of uncertainty.
In this business and management course, you’ll learn how make effective supply chain decisions that take into consideration all aspects of your business.
The course will take a helicopter view for decision-making. The helicopter view is built upon:
- Key questions to decide on: manufacturing organization, late differentiation, location, distribution networks, …
- Objectives relevant to your business: cost, speed, flexibility, reliability, …
We will work through questions such as:
- Should you locate a process in a given country? This decision has an obvious impact on your HR costs, but it also affects your working capital and your ability to react to the market needs.
- Should you centralize your distribution? This decision leads to economies of scale and a better product availability, but it also impacts your carbon emission.
By the end of this course, you will have built a framework that allows you to make better decisions.
Business organizations are constantly engaged in financial decision-making related to financial planning, investments, capital purchases, etc. The right financial decisions play a critical role in maximizing an organization’s business value.
- How do we value assets?
- What is a good investment?
- Does a project create value?
Corporate finance will address these issues to help managers make value-enhancing decisions.
This business and management course will introduce you to the role of corporate finance in an organization and the tools used to evaluate investment proposals.
The course will cover commonly used tools and techniques that help managers make decisions that create value for their organizations such as time value of money, opportunity cost, net present value and internal rate of return.
If you are interested in creating value for your organization, then this course is for you.
Using a variety of learning tools and methodologies, this course will help you understand the role that the internet plays in economic development, and in the lives of people and businesses in general.
Traditional development challenges are preventing the digital revolution from fulfilling its transformative potential: the opportunity to bring broader development gains in the form of faster growth, more jobs and better services to economies.
In this course, you’ll explore answers to the following key questions: What are the challenges that prevent digital dividends from spreading more rapidly? What are the most important returns to digital investments? What should be done to fully benefit from the digital revolution?
The course will benefit a broad variety of audiences, ranging from student to policymaker, and from entrepreneur to civic actor.
A hallmark of success for the world’s largest and most successful companies can be found in the way they value and use information. Unfortunately, the vast majority of firms have neither the knowledge nor skills to fully exploit their information assets.
Evidence-based technology management focuses on properly evaluating evidence in support of different technology management strategies. The goal is to give managers the capabilities to better use their information assets via a more effective use of technology and technology fundamentals to create a competitive advantage.
This business course will help you understand the strategic value of information by using analytics. It will also provide an overview of emergent technologies and trends, and help prepare you for a technology-enabled future.
The knowledge and skills developed in this course are particularly valuable for business analysts, aspiring chief technology officers and chief information officers, and tech-entrepreneurs.
This course is part of the Evidence-Based Management MicroMasters Program.
The most noteworthy startups and entrepreneurs of our day are known for bucking trends in business and leadership.
New ventures often position themselves in a way that forces their more established competitors to react and rethink the fundamentals of their original value proposition. The advantage of these new players often lies in a different management approach compared with large, more established companies.
You can learn to think like these innovators too.
From this course, you’ll better understand the typical process entrepreneurs follow when launching a new venture, thereby helping you to adequately respond to upcoming threats through newly established companies.
You’ll explore an entrepreneur’s perspective in comparison to a manager in a large company; working through the various stages of the entrepreneurial process.You’ll profile the entrepreneur as a personality type, exploring whether an entrepreneurial mindset is something that people inherently possess or something that can be developed over time. You’ll gain insights into the generation of business ideas and how leaders manage to ensure that their ideas also represent a concrete business opportunity with commercial potential.
The course introduces the decision-making process of successful entrepreneurs and specifies how it differs from that of managers in large companies, identifying common patterns. It further introduces the lean start-up process to give you a concrete toolkit applied by successful entrepreneurs and specific pitfalls that typically occur at various stages of the start-up process - to help you avoid similar mistakes.
Besides the online lectures, participants will engage in a series of homework exercises and tutorials. Real-life case studies and examples from companies will be used to help participants better prepare for actual situations.
This course is part of the "Managing Technology & Innovation: How to deal with disruptive change" MicroMasters program designed to teach the critical skills needed to be successful in this exciting field. In order to qualify for the MicroMasters Credential, you will need to earn a Verified Certificate in each of the six courses of the RWTHx MicroMasters program.
Gain essential skills in today’s digital age to store, process and analyse data to inform business decisions.
In this course, part of the Big Data MicroMasters program, you will develop your knowledge of big data analytics and enhance your programming and mathematical skills. You will learn to use essential analytic tools such as Hadoop, R and MOA (Massive Online Analysis).
Topics covered in this course include:
- cloud-based big data analysis;
- predictive analytics, including probabilistic and statistical models;
- application of large-scale data analysis;
- analysis of problem space and data needs;
- understanding of ethical and social concerns of data mining.
By the end of this course, you will be able to approach large-scale data science problems with creativity and initiative.
This course is about modeling and how computer models can support managerial decision making. A model is a simplified representation of a real situation and modeling is the process of developing, analyzing and interpreting a model in order to help make better decisions. Models can be invaluable tools in managing and understanding the complexity and risk inherent in many business problems. As a result, models have become an increasingly important part of business at all levels from daily operations to strategic decision making.
This course will help learners become intelligent users and consumers of these models. To this end, we will cover the basic elements of modeling – how to formulate a model and how to use and interpret the information a model produces. The course emphasizes “learning by doing” so that students will be expected to formulate, solve, and interpret a number of different optimization and simulation models using Excel spreadsheets. An important theme in the course is to understand the appropriate use of models in business and the potential pitfalls from using models incorrectly or inappropriately.
The course has two distinct parts:
- The first half of the course we will cover supervised learning techniques for regression and classification. In this framework, we possess an output or response that we wish to predict based on a set of inputs. We will discuss several fundamental methods for performing this task and algorithms for their optimization. Our approach will be more practically motivated, meaning we will fully develop a mathematical understanding of the respective algorithms, but we will only briefly touch on abstract learning theory.
- In the second half, we shift to unsupervised learning techniques. In these problems the end goal less clear-cut than predicting an output based on a corresponding input. We will cover three fundamental problems of unsupervised learning: data clustering, matrix factorization, and sequential models for order-dependent data. Some applications of these models include object recommendation and topic modeling.
Marketers want to understand and forecast how customers purchase products and services and how they respond to marketing initiatives.
Learn how analytics help businesses drive marketing to maximize its effectiveness and optimize return on investment (ROI).
In this course, part of the Business Analytics MicroMasters program, discover how to develop quantitative models that leverage business data, statistical computation, and machine learning to forecast sales and marketing impact for:
- customer relationship management;
- market segmentation;
- value creation;
You will learn how to use probabilistic models and optimization tools to model customer demand forecasts, pricing sensitivity, Lifetime Value and how to leverage such data to make optimal decisions on designing new products, marketing segmentation and strategy.
In order for a manager to effectively perform their role they must have an understanding of accounting information, as accounting systems generate information that is used by both internal and external stakeholders
Having a good understanding of accounting allows managers to communicate with the finance department, bankers, suppliers and even tax authorities.
In this finance course, you will learn how to read and understand financial statements. You will learn all relevant and important terms as they relate to the three financial statements - balance sheet, income statement and cash flow statement. Subsequently, you will develop the capability to analyze business performance through financial statements. You will see how the performance of any organization is impacted by four fundamental drivers of profitability - asset management, cost management, leverage management and tax management.
In the second part of the course, you will learn how to manage costs. We will cover product costing, budgeting , budgetary control and cost analysis for decision making.
Successfully completing this course will transform you into a manager who is confident while discussing and handling accounting and financial matters in the workplace, and help you as you move forward in your managerial career and take on senior roles.
Please note that the verified certificate option is not currently open for this course. Please enroll in the audit track and you will be emailed when the verified certificate option is open for enrollment.
Businesses, consumers, and societies leave behind massive amounts of data as a by-product of their activities. Leading-edge companies in every industry are using analytics to replace intuition and guesswork in their decision-making. As a result, managers are collecting and analyzing enormous data sets to discover new patterns and insights and running controlled experiments to test hypotheses.
This course, part of the Analytics: Essential Tools and Methods MicroMasters program, prepares you to understand data and business analytics and become a leader in these areas in business organizations.
It covers the methodologies, algorithms, issues, and challenges related to analyzing business data. It will illustrate the processes of analytics by allowing you to apply business analytics algorithms and methodologies to real-world business datasets from finance, marketing, and operations. The use of real-world examples and cases places business analytics techniques in context and teaches you how to avoid the common pitfalls, emphasizing theimportance of applying proper business analytics techniques.
In addition to cases, this course features hands-on experiences with data collection, analysis, and visualization using Python programs and analytics software such as SAS.
This course includes a significant analytics project.
Learn how to create a culture of experimentation, where data is swiftly gathered to assess business value and drive innovation.
In this course, you will learn how to use Object and Service Oriented design principles and your development team to increase system flexibility so you can efficiently run experiments at the technical level and also refine business processes and models.
Good design enables a capability for experimentation that would otherwise be infeasible as it speeds up learning and decreases the development time needed to realize the necessary technical changes to drive the next experiment. This capability produces an increase in optionality and paths for innovation; and so overall increases business value.
The course, part of both the Digital Product Management and Digital Leadership MicroMasters programs, addresses both the digital (technical) and social (people) infrastructures and the essential interfaces between them. Managing these interfaces requires designing varying capacities to transfer, translate or transform the knowledge being used to develop experiments. This course focuses on two aspects of the social infrastructure:
- the capacity of the technical infrastructure to engage user and identify their needs;
- the ability to manage the interfaces between the development team and the technical infrastructure over time.
We will focus on how modular design is essential to project, process, and business model experimentation. Most importantly, you will learn how the synthesis of design, management and experimentation can create real business value.
In this business and management course, you will learn how to achieve organizational success through positive and growth focused employee management.
You will learn current strategies for managing people in a complex, volatile global context. Starting with the basics of achieving optimal team success and the importance of managing both task and process. You will also focus on the characteristics found among high performing teams, as well as characteristics needed for success in exceptional genius/virtuoso, virtual and multicultural teams. You will also examine how to shape others’ behaviors in a global environment via basics of operant conditioning, the “3 Rs” and reward design.
Additionally, the course explores the concept of culture as applied to organizational and location-based perspectives. You will examine personal experiences of workplace change, concepts and strategies for overcoming resistance and managing change. Relating in a multicultural environment, you will also explore strategies for balancing generosity and productivity, as well as how to avert, evaluate and overcome conflict among employees.
In this business and management course you will learn management techniques to operate in an international economy presented with tremendous opportunities as well as risks.
Globalization has dramatically expanded opportunities for international trade, investment and economic development. At the same time, global managers are facing the prospect of trade wars, international financial crises and intensified competition over markets and resources. International organizations such as the International Monetary Fund, World Trade Organization and World Bank Group have a direct impact on international business operations.
This course develops analytical tools for understanding the rapidly changing and dynamic global economy. With these tools, you will be better prepared to anticipate the risks and take advantage of the opportunities you will encounter in the global business environment.
As Cloud Computing shapes businesses of all sizes, it is vital to understand the technologies behind cloud infrastructure, both public and private.
In this course, part of the Cloud Computing MicroMasters program, you will learn to evaluate and compare cloud systems, technologies and providers. In doing so, you will build an understanding of the concepts of elasticity and availability through cloud orchestration.
Some industry leading cloud platforms will be covered in this class, including: Amazon Web Services, VMware vSphere, Microsoft Azure, Google Cloud, and OpenStack. You will use the built-in tools and management consoles within those platforms to configure and manage the infrastructure.
Virtually all managerial and leadership positions in the digital economy increasingly rely on data-driven decision making. Recent studies have shown companies who adopt “Data-Driven Decision Management” achieve significant productivity gains over other firms.
Having a solid grasp of the end-to-end process of making effective decisions with data will give you an edge, both in performing such analyses yourself, as well as in effectively managing teams of business analysts and data scientists.
In this course, part of both the Digital Leadership and Digital Product Management MicroMasters programs, you will learn the tools and techniques to become a data-driven or “evidence-based” manager.
You will learn the process of reframing a business question as a data question, reasoning about what data might be of assistance and how to obtain it, integrating and cleaning the data, performing the analysis, deriving and communicating insights from the analysis, and building the managerial culture to operate in this way and create competitive advantages from enterprise data.
This course is unique in the sense that it aims squarely at the needs of a manager in an analytically focused enterprise by providing both a hands-on introduction to the concepts, methods and processes of business analytics as well as an introduction to the use of analytics as the basis for creating a competitive advantage.
The Internet has emerged as a platform to facilitate global commerce and communication. Its exponential growth has transformed the value chain of virtually every industry, and millions of commercial businesses are now doing business online. This course will introduce you to the range of marketing uses of the Internet.
You will learn how to:
- use basic e-marketing tools relevant to the internet marketing context;
- apply marketing strategies such as segmentation, targeting, positioning, and differentiation to an online context;
- analyse the online consumer exchange process and its outcomes;
- evaluate product, pricing, distribution and communication marketing functions in a firm’s internet marketing strategy;
- evaluate the role of social media in the marketing context;
- use digital analytics to evaluate and optimise the effectiveness of digital marketing strategies.
You will explore how marketing online differs from a traditional marketing environment, and identify and discuss web-based marketing opportunities such as using Facebook, Twitter and Google in today’s business world.
The digital landscape is fast-paced and continually changing, yet is an equally challenging and exciting environment in which to work. This course is relevant to anyone working in marketing, communications, public relations, social media and advertising.
This course is part of the CurtinX MicroMasters Credential in Marketing in a Digital World that is specifically designed to teach the critical skills needed to be successful in this exciting field. In order to qualify for the MicroMasters Credential you will need to earn a Verified Certificate in each of the five courses.
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