Upcoming Paid Online Courses (313)
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.
Project management has emerged as a critical organizational capability in recent years. In parallel with this increased prominence has been the emergence of the “professional project manager,” supported by a sophisticated suite of project management tools and techniques.
Evidence-based project management will evaluate the accumulated data, evidence and research in support of different project management strategies, tools and techniques.
The critical thinking abilities, knowledge and decision-making skills developed in this course are particularly valuable for project managers, emergent leaders, and established managers.
This course is part of the Evidence-Based Management MicroMasters Program.
In this anatomy course, part of the Anatomy XSeries, you’ll learn about the various digestive, endocrine, and reproductive organs, their functions, and pathways of nerves and blood vessels serving these organs. Clinical correlations and vignettes will be used to highlight the importance of these anatomical structures and their relationships. Images and videos from cadaveric and artistic materials will be used to illustrate these concepts.
Introduction to rules-based drawing with software (Rhino3D and Adobe Illustrator) focusing on graphic compositions of points, lines, and curves. Exercises will introduce and utilize basic ordering systems, two-dimensional geometric operations, graphic compositional principles, and visual hierarchy and legibility with line weights, tone, and poché. Tangible outcomes from the assignments will include line and tone drawings, modulated field drawings, and graphic collage compositions.
This course focuses on the design of modules or components that can be assembled/clustered/aggregated to form a larger spatial component system to enhance an existing space. Rather than aggregating identical components (such as bricks which are identical in size and shape), we will be designing our own components that can vary in size and shape to form differentiated component systems. The exercises in this course will introduce and develop parametric thinking skills (without the use of advanced parametric design software) and will require the student to fabricate working prototypes of her/his component system out of simple materials or commonly found items.
This course introduces three-dimensional composition of modules, basic form and volume principles, and form-based (three-dimensional) operational and ordering strategies. We will focus on the relationships between form and space with basic ingredients such as planes, surfaces, masses, and volumes. Students will produce physical and digital working models of their module studies as well as generating plan and section drawing types.
This course is the third of a series of modules that cover calculus-based mechanics. You will explore rotational motion and learn about the concepts of torque and angular momentum. You will learn about the conservation of angular momentum, and use it with other conservation laws to solve complex problems in rotational dynamics.
The complete series of modules is based on the MIT subject 8.01: Physics I, required of all MIT undergraduates. The modules are:
Do you want to build systems that learn from experience? Or exploit data to create simple predictive models of the world?
In this course, part of the Data Science MicroMasters program, you will learn a variety of supervised and unsupervised learning algorithms, and the theory behind those algorithms.
Using real-world case studies, you will learn how to classify images, identify salient topics in a corpus of documents, partition people according to personality profiles, and automatically capture the semantic structure of words and use it to categorize documents.
Armed with the knowledge from this course, you will be able to analyze many different types of data and to build descriptive and predictive models.
All programming examples and assignments will be in Python, using Jupyter notebooks.
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.
This course, part of the Software Development MicroMasters Program, introduces how teams design, build, and test multi-version software systems.
You will learn software engineering principles that are applicable to the breadth of large-scale software systems. The course explores topics such as agile development, REST and Async programming, software specification, design, refactoring, information security, and more.
By the end of this course, learners will work in teams, applying an agile software development process to specify, design, and test multiple versions of complex software systems.
Learners who enroll in the Verified track will receive staff grading and increased interaction with the instructor and staff.
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.
How do you protect the critical data that is increasingly being stored in the cloud? Learn how to build a security strategy that keeps data safe and mitigates risk.
In this course, part of the Cloud Computing MicroMasters program, you will be introduced to industry best practices for cloud security and learn how to architect and configure security-related features in a cloud platform. Case studies and government standard documents will be reviewed to help ensure appropriate levels of security are implemented.
You’ll develop the necessary skills to identify possible security issues in the cloud environment. You will also gain experience with tools and techniques that monitor the environment and help prevent security breaches such as monitoring logs and implementing appropriate security policies.
Data driven decision-making systems allow instructional designers to engage in continuous improvement of course design to optimize student learning.
In this education and teacher training course, part of the Instructional Design and Technology MicroMasters program we will delve into data driven decision-making and you will learn data mining techniques to collect actionable data. You will learn how to analyze learner statistics to improve the impact of design and technology on learning.
It’s important for instructional designers to have systematic plans for gathering data and learner analysis to guide ongoing course adjustments to improve teaching and learning. Data is critical to the continuous improvement process.
This course prepares you to read more deeply and write more clearly about works of literature. . This course will focus on great pieces of drama and how we read and interpret them. We will discuss the works of William Shakespeare and Edmond Rostand. Through an engaging collection of videos, authentic readings, and support material from a variety of sources, you will learn to appreciate literature from different genres.
You will broaden your vocabulary while you sharpen your academic and creative writing skills. Interaction with other students will help you to refine your thinking about the reading and writing as well. You will learn to write under time pressure, and have the opportunity to complete practice assignments that are similar to those you will find on the AP examination.
There are no prerequisites; you don’t have to take the AP exam to join the course. If you want to learn about literature and writing, this course is for you.
Engage in rigorous strategic analysis to complement your intuition with the deep insights needed to help your organization prosper in times of transition. This foundational course enables you to design effective strategy processes, spot fundamental market and technology changes in your industry and renew your organization’s internal resource base.
1. Unpacking the Process of Strategy:
- What precisely is strategy and why does it matter? What are the origins of the concept and how can we define it?
- What are the building blocks of strategy and how can they be arranged as a process?
- What distinct conceptions of the strategy process co-exist and what are their respective advantages and disadvantages?
2. Analyzing Industry Structures:
- What is the role of the industry and its structure for firm performance? How can we analyze industry structures?
- How can we unpack industries and identify the most attractive strategic positions to occupy therein?
- How do we identify what it takes to outcompete others in our strategic group?
3. Developing Internal Resources:
- Can firms succeed in generally unattractive industries? What is the role of firms’ internal resource base in this regard?
- How can we find out which resources and capabilities are likely to have the greatest strategic value?
- What are dynamic capabilities and how do they matter for firm survival and performance?
All key ideas are illustrated through a real-life case study on Tesla and its role in the technological transformation of the global automotive industry.
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.
In this course, part of the Marketing in a Digital World MicroMasters program, you will learn how to apply the concepts of advertising and marketing to branding. We will examine topics and various strategies related to building, measuring, and managing a brand, including direct and indirect measures of brand equity, structures of desired brand knowledge, choice of brand elements, development of supporting marketing programs, and management of brands over time.
You will learn how to:
- Develop a framework to identify and establish brand positioning and values to build customer based brand equity
- Plan and implement brand marketing programs through integrated marketing communications and brand associations to build brand equity
- Evaluate how a brand equity management system can capture customer mindset and enhance market performance through sources and outcomes of brand equity
- Design specific strategies that focus around extending, revitalising and reinforcing existing brands to retain brand resonance (i.e. loyalty, attachment, community and engagement).
The branding landscape is fast-paced and continually changing, yet is a stimulating 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.
Explore current social welfare issues in the context of their history and the underlying rationale and values that support different approaches. Emphasis is placed on major fields of social work service such as:
- income maintenance
- health care
- mental health
- child welfare
- elderly services
You will learn about analytic frameworks with regard to social welfare policies and services. These frameworks identify strengths and weaknesses in the current social welfare system with respect to:
- multiculturalism and diversity
- social justice and social change
- behavioral and social science theory and research
- relevant social work promotion, prevention, treatment, and rehabilitation programs
There are four main content areas for the course.
- The philosophic and practical basis for social welfare provisions.
- The history of the social work profession and the emergence of specific policies and programs within their historical, social and political contexts.
- A critical analysis of current social welfare policies in the U.S. and cross-nationally, and programs, nationally and cross-nationally with attention to the evolving policies.
- An understanding of theory/research, debates, and trends in social welfare provision and patterns of service delivery.
This course is part of the Social Work: Practice, Policy and Research MicroMasters Program offered by MichiganX.
Learn about lean management, a customer-centric methodology that improves processes by eliminating waste and focusing on value-added tasks.
This course will introduce the main tenets of the Toyota Production System, which includes Just-in-Time manufacturing, quality management tools, and the critical concept of Kaizen, the Japanese practice of continuous improvement. You will also learn about key organisation and managerial approaches that are used in Lean.
You will learn how to analyse process flows in order to establish process capacity and identify the process bottleneck. You will then calculate resource utilisation and cycle time to evaluate the impact of set up times, batching, defects and reworks on key process performance measures, including inventory, flow rate and flow time.
We will also discuss the impact of key concepts of Lean, including Heijunka, Kanban, Jidoka, Andon, Poka Yoke, and 5S, which help achieve increased productivity and quality.
Upon successful completion of this series, learners will earn the Technical University of Munich Lean Six Sigma Yellow Belt Certification, confirming mastery of the fundamentals of Lean Six Sigma to a Yellow Belt level, based on the American Society of Quality's Body of Knowledge for the Certified Six Sigma Yellow Belt.
Use the knowledge of Photovoltaic technology, systems and microgrids to design your own engineering project.
This project-based course finalizes the Solar Energy Engineering MicroMasters program and focuses on applying the knowledge you gained to a solar energy project. You will work on either your own project or on a project provided by the course team. These projects can be focused on design, analysis, monitoring or integration of any photovoltaic application.
First, you will write a short project plan describing the project and the orientation of your work. After approval, you will execute your project.
Your final product is a written paper on the results of your project. This paper will be peer reviewed and assessed by a professor. You will also defend your project in an oral presentation. You will be assessed on your ability to justify design choices, to critically analyze the performance of systems, to find creative solutions and to show the potential of your solution.
Finding a sponsor for your project within a company, institute or university is encouraged.
This is the last course of the Solar Energy Engineering MicroMasters Program designed to cover all physics and engineering aspects of photovoltaics: photovoltaic energy conversion, technologies and systems.
You can start the capstone project after completing PV1x, PV2x and PV3x. However, you will need the knowledge and skills gained in PV4x to complete the final module of this course, the oral presentation.
Note: The capstone project is only accessible for ID verified MicroMasters learners.
Photovoltaic systems are often placed into a microgrid, a local electricity distribution system that is operated in a controlled way and includes both electricity users and renewable electricity generation. This course deals with DC and AC microgrids and covers a wide range of topics, from basic definitions, through modelling and control of AC and DC microgrids to the application of adaptive protection in microgrids. You will master various concepts related to microgrid technology and implementation, such as smart grid and virtual power plant, types of distribution network, markets, control strategies and components. Among the components special attention is given to operation and control of power electronics interfaces.
You will familiarize yourself with the advantages and challenges of DC microgrids (which are still in an early stage). You will have the opportunity to master the topic of microgrids through an exercise in which you will evaluate selected pilot sites where microgrids were deployed. The evaluation will take the form of a simulation assignment and include a peer review of the results.
This course is part of the Solar Energy Engineering MicroMasters program designed to cover all physics and engineering aspects of photovoltaics: photovoltaic energy conversion, technologies and systems.