Our Courses
Design Strategies for Maximizing Total Data Quality
By the end of this third course in the Total Data Quality Specialization, learners will be able to:
1. Learn about design tools and techniques for maximizing TDQ across all stages of the TDQ framework during a data collection or a data gathering process.
2. Identify aspects of the data generating or data gathering process that impact TDQ and be able to assess whether and how such aspects can be measured.
3. Understand TDQ maximization strategies that can be applied when gathering designed and found/organic data.
- Course by
- Self Paced
- 9 hours
- English
Resampling, Selection and Splines
"Statistical Learning for Data Science" is an advanced course designed to equip working professionals with the knowledge and skills necessary to excel in the field of data science. Through comprehensive instruction on key topics such as shrink methods, parametric regression analysis, generalized linear models, and general additive models, students will learn how to apply resampling methods to gain additional information about fitted models, optimize fitting procedures to improve prediction accuracy and interpretability, and identify the benefits and approach of non-linear models.
- Course by
- Self Paced
- 16 hours
- English
Digital Media for Health Outcomes, English
The Digital Media for Health Outcomes (DMHO) course will train health communication professionals to leverage social and behavioral insights to design, implement and evaluate health communications online. The course is designed as a comprehensive and evidence-based tutorial on the key tactical steps to develop and implement successful health campaigns on social media, and to evaluate their performance and impact on health behavior. Throughout the course, students will explore best practices for designing relevant messages and campaign creatives.
- Course by
- Self Paced
- 17 hours
- English
Data Visualization in Tableau: Create Dashboards and Stories
Use Tableau Web Authoring to create best practice dashboards and stories from data
- Course by
- Self Paced
- 2 hours
- English
Fundamentals of Kubernetes Deployment
This course is designed to give you a deeper understanding of Kubernetes.
Over the next few weeks, you'll learn about several features of Kubernetes, the Kubernetes Architecture, how to create clusters, and different installation configurations. We'll also explore deployments and how they are scaled, updated, and rolled back. We will discuss clusters, pods, and nodes, and dive into Persistent Volumes as well as Kubernetes Authorization and Authentication.
Lastly, we'll show you how it all comes together in a Kubernetes demo, so you can see it in action.
- Course by
- Self Paced
- 8 hours
- English
Specialized Models: Time Series and Survival Analysis
This course introduces you to additional topics in Machine Learning that complement essential tasks, including forecasting and analyzing censored data. You will learn how to find analyze data with a time component and censored data that needs outcome inference. You will learn a few techniques for Time Series Analysis and Survival Analysis. The hands-on section of this course focuses on using best practices and verifying assumptions derived from Statistical Learning.
By the end of this course you should be able to:
Identify common modeling challenges with time series data
- Course by
- Self Paced
- 11 hours
- English
Encoder-Decoder Architecture - Español
En este curso, se brinda un resumen de la arquitectura de codificador-decodificador, una arquitectura de aprendizaje automático importante y potente para realizar tareas de secuencia por secuencia, como las de traducción automática, resúmenes de texto y respuestas a preguntas. Aprenderás sobre los componentes principales de la arquitectura de codificador-decodificador y cómo entrenar y entregar estos modelos. En la explicación del lab, programarás una implementación sencilla de la arquitectura de codificador-decodificador en TensorFlow para generar poemas desde un comienzo.
- Course by
- Self Paced
- English
Containerised app development with Azure Kubernetes Service
Use Microsoft Azure services to create a Kubernetes deployment of a simple voting application with a Redis backend.
- Course by
- Self Paced
- 2 hours
- English
Logistic Regression in R for Public Health
Welcome to Logistic Regression in R for Public Health!
- Course by
- Self Paced
- 12 hours
- English
Teaching Writing Process
Half a century ago, a revolution took place in the teaching of writing. Educators asked, “What if we were to study how professional writers wrote, as a way to learn how we might teach writing more effectively?” The result was the writing process movement, with its emphasis on not just writing as product but as process. Good writing doesn’t magically appear, nor does it spring from the brain fully formed and perfect the first time.
- Course by
- Self Paced
- 20 hours
- English
Global Systemic Risk
What is globalization and how does it work? How can we understand the process as a whole? How are the parts of the world linked? What are the risks of living in a world where “no one is in charge”? This course introduces students to systems thinking, network theory, and risk analysis and uses these tools to better understand the process of globalization. Focusing on trade, finance, and epidemiology, it analyzes potential challenges to the current global order.
- Course by
- Self Paced
- 21 hours
- English
Patrick Henry: Forgotten Founder
“Give me liberty, or give me death:” Remembering Patrick Henry, the Forgotten Founder
- Course by
- Self Paced
- 7 hours
- English
Introduction to Hearing Loss
Welcome to Introduction to Hearing Loss
Disorders of the ear range from simple, easily treated entities (such as wax or cerumen impaction) to the highly complex (such as permanent hearing loss). Many of these disorders manifest with similar symptoms and may be difficult to differentiate without a basic understanding of the anatomy of the ear and auditory pathway.
- Course by
- Self Paced
- 4 hours
- English
Design Thinking: Discovery Tools
Welcome Designers!
In this course, you will learn to use the most important tools from the field of human-centered design to generate ideas: stakeholder mapping, journey mapping, personas, value-chain analysis, the job-to-be-done, ethnographic interviews, and more. Learn to connect with your customers on a human level, to get beyond what they say and observe what they do.
- Course by
- Self Paced
- 14 hours
- English
Train Machine Learning Models
This course is designed for business professionals that wish to identify basic concepts that make up machine learning, test model hypothesis using a design of experiments and train, tune and evaluate models using algorithms that solve classification, regression and forecasting, and clustering problems.
To be successful in this course a learner should have a background in computing technology, including some aptitude in computer programming.
- Course by
- Self Paced
- 29 hours
- English
Using TensorFlow with Amazon Sagemaker
Please note: You will need an AWS account to complete this course.
- Course by
- 3 hours
- English
Build a Lean Workflow with Kanban Frameworks in Miro
By the end of this project, you will be able to build a lean workflow applying the Kanban method to support efficient business process management.
- Course by
- Self Paced
- 4 hours
- English
Arrange student marks using Merge Sort algorithm
In this project, the learner will use Java programming language to create user-defined methods to recursively and iteratively implement a merge sort algorithm to arrange an array of integers in ascending order, and also sort student marks entered by the user.
- Course by
- Self Paced
- 2 hours
- English
What future for education?
Through this course you will start to critically examine your own ideas about education, teaching and learning. The critique will be developed through engagement with theories and ideas developed through educational research. You will be encouraged to use these ideas to challenge or support your own ideas about education.
- Course by
- Self Paced
- 14 hours
- English
Connect Your Services with Microsoft Azure Service Bus
Azure lets you create applications composed of various components: website front-ends, back-end services, and triggered functions that perform compute-on-demand services. Azure also includes various communication strategies to let these various components pass data to each other. In this course, you will learn how to leverage these communication services to create scalable, efficient solutions out of testable components.
- Course by
- Self Paced
- 10 hours
- English
Basic Recommender Systems
The Basic Recommender Systems course introduces you to the leading approaches in recommender systems. The techniques described touch both collaborative and content-based approaches and include the most important algorithms used to provide recommendations. You'll learn how they work, how to use and how to evaluate them, pointing out benefits and limits of different recommender system alternatives.
- Course by
- Self Paced
- 12 hours
- English
Building Recommendation System Using MXNET on AWS Sagemaker
Please note: You will need an AWS account to complete this course.
- Course by
- Self Paced
- 3 hours
- English
Training and Learning Online
Have you considered completing online training programmes and courses? Or perhaps you have to work online for your studies and you are not sure how to do it?
Learning online is very different from face-to-face learning, as it often involves independent study and a different set of skills. On this course, you will develop effective online learning strategies that work for you, whether you are learning for work, leisure or for your studies, so that you can make the most of it.
- Course by
- Self Paced
- 4 hours
- English
Managing Teams Documents and Files
In this project, learners will learn how to manage teams documents and files inside Teams.
- Course by
- Self Paced
- 3 hours
- English
Fundamentals of Data Analytics in the Public Sector with R
Gain a foundational understanding of key terms and concepts in public administration and public policy while learning foundational programming techniques using the R programming language. You will learn how to execute functions to load, select, filter, mutate, and summarize data frames using the tidyverse libraries with an emphasis on the dplyr package. By the end of the course, you will create custom functions and apply them to population data which is commonly found in public sector analytics.
- Course by
- Self Paced
- 15 hours
- English