Courses tagged with "Free" (10)
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.
The Big Data Capstone Project will allow you to apply the techniques and theory you have gained from the four courses in this Big Data MicroMasters program to a medium-scale data science project.
Working with organisations and stakeholders of your choice on a real-world dataset, you will further develop your data science skills and knowledge.
This project will give you the opportunity to deepen your learning by giving you valuable experience in evaluating, selecting and applying relevant data science techniques, principles and theory to a data science problem.
This project will see you plan and execute a reasonably substantial project and demonstrate autonomy, initiative and accountability.
You’ll need to reflect on the nature of your data and identify any social and ethical concerns and identify appropriate ethical frameworks for data management.
By communicating the knowledge, skills and ideas you have gained to other learners through online collaborative technologies, you will learn valuable communication skills, important for any career. You’ll also deliver a written oral presentation of your project design, plan, methodologies, and outcomes.
In this capstone project, you will focus on designing a sustainable Biobased process. The emphasis of the project is on conversion. You will design a process from biomass to a finished product and discuss your choices for a catalyst, reactor type, organism and feedstock. You should be able to discuss your choices in the broad picture of sustainability while emphasising the conversion aspects of the process.
The final product in this capstone project is a written report.
Complete your MicroMasters credential by signing up for a virtually proctored exam. This 2 hour, multiple choice exam will test your knowledge on all topics discussed in the 5 MicroMasters courses.
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.
This capstone includes the evaluation of the competencies and performance tasks, which define a successful cybersecurity defense.
This capstone is part of the RITx Cybersecurity MicroMasters Program that is specifically designed to teach cybersecurity techniques and tools needed to effectively defend systems and networks of a corporate environment or enterprise.
In order to qualify for the MicroMasters Credential you will need to successfully earn a Verified Certificate in each of the four RITx Cybersecurity courses as well as pass this final capstone.
The capstone will test knowledge and skills across all 4 courses in the Cybersecurity MicroMasters Program. It will include hands-on lab exercises that build on the assessments in the previous four courses.
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 this quantum physics course you will learn the basic concepts of scattering – phase-shifts, time delays, Levinson’s theorem, and resonances – in the simple context of one-dimensional problems. We then turn to the study of angular momentum and the motion of particles in three-dimensional central potentials. We learn about the radial equation and study the case of the hydrogen atom in detail.
This is the final course in a series which includes:
- Quantum Mechanics: Wavefunctions, Operators, and Expectation Values
- Quantum Mechanics: Quantum Physics in 1D Potentials
- Quantum Mechanics: 1D Scattering and Central Potentials
The series is based on the MIT 8.04: Quantum Mechanics I. At MIT, 8.04 is the first of a three-course sequence in Quantum Mechanics, a cornerstone in the education of physics majors that prepares them for advanced and specialized studies in any field related to quantum physics.
After completing the 8.04x series, you will be ready to tackle the Mastering Quantum Mechanics course series on edX, which will be available in Spring 2018.
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.
In this course you will learn how to turn solar cells into full modules; and how to apply full modules to full photovoltaic systems.
The course will cover design of photovoltaic systems, such as utility scale solar farms or residential scale systems (on/off the grid). You will learn about the function and operation of various components including inverters, batteries, DC-DC converters and the grid. After learning about the components, you will gain an understanding of the main design decisions to be taken when planning a real PV installation with excellent performance and reliability.
Finally, you will practice modelling the performance of a PV system for different solar energy applications, and estimating the energy production of a client's potential system.
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.
In this UX capstone course, you’ll conduct a multi-stage user experience project to design a product from scratch, incorporating Design and Research methods within the context of Iterative User-Centered Design. You will employ interviews, inspection methods, and user testing, along with ideation, design, and prototyping methods to gain and communicate valuable insight that can be used to deliver a compelling product. You can propose your own product, or you can choose from a list provided by the instructional team.
This course is part of the User Experience (UX) Research and Design MicroMasters Program offered by MichiganX.
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