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Our Courses
JavaScript Decision Programming with Switch
In this intermediate-level project you will examine the need to make decisions in programming using the Switch feature in JavaScript.
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Course by
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Self Paced
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3 hours
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English
Using Machine Learning in Trading and Finance
This course provides the foundation for developing advanced trading strategies using machine learning techniques. In this course, you’ll review the key components that are common to every trading strategy, no matter how complex. You’ll be introduced to multiple trading strategies including quantitative trading, pairs trading, and momentum trading.
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Course by
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Self Paced
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19 hours
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English
Ethical Hacking Essentials (EHE)
Ethical Hacking Essentials is an introductory cybersecurity course that covers ethical hacking and penetration testing fundamentals and prepares learners for a career in cybersecurity.
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Course by
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Self Paced
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32 hours
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English
Effective Sales – An Overview
Welcome to Strategic Sales Management specialization. This specialization course focus on providing conceptual and practical guidance on sales planning and management. The development of the specialization goes through the different phases of the sales planning process, keeping attention on the connection to the strategy of the company. Concepts discussed in this specialization aim to support the analyses on how to plan sales in alignment with the strategic guidelines of the company.
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Course by
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Self Paced
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English
LCFA Exam Preparation
This course is ideal for those getting started in an IT career as an administrator/engineer who want to become a Linux Foundation Certified IT Associate (LFCA). The LCFA Exam Preparation course is designed to introduce learners to the sponsor organization behind the LFCA certification exam and the details of taking the LFCA exam. This class helps learners prepare for the LFCA exam through a series of self-paced learning, readings, discussions and practice exams.
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Course by
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Self Paced
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7 hours
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English
Loading Your Own Data into BigQuery
This is a self-paced lab that takes place in the Google Cloud console. This lab teaches you how to ingest data from a CSV file into tables in BigQuery.
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Course by
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Self Paced
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2 hours
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English
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. 4.
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Course by
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Self Paced
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9 hours
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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.
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Course by
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Self Paced
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16 hours
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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.
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Course by
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Self Paced
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17 hours
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English
Data Visualization in Tableau: Create Dashboards and Stories
Use Tableau Web Authoring to create best practice dashboards and stories from data
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Course by
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Self Paced
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2 hours
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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.
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Course by
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Self Paced
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8 hours
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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.
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Course by
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Self Paced
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11 hours
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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.
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Course by
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Self Paced
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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.
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Course by
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Self Paced
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2 hours
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English
Logistic Regression in R for Public Health
Welcome to Logistic Regression in R for Public Health! Why logistic regression for public health rather than just logistic regression? Well, there are some particular considerations for every data set, and public health data sets have particular features that need special attention. In a word, they're messy. Like the others in the series, this is a hands-on course, giving you plenty of practice with R on real-life, messy data, with predicting who has diabetes from a set of patient characteristics as the worked example for this course.
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Course by
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Self Paced
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12 hours
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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.
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Course by
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Self Paced
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20 hours
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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. The course will be of interest to those studying global affairs, system dynamics, and world governance.
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Course by
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Self Paced
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21 hours
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English
Patrick Henry: Forgotten Founder
“Give me liberty, or give me death:” Remembering Patrick Henry, the Forgotten Founder Patrick Henry was enormously popular during the American Revolution.
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Course by
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Self Paced
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7 hours
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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.
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Course by
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Self Paced
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4 hours
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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.
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Course by
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Self Paced
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14 hours
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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.
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Course by
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Self Paced
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29 hours
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English
Using TensorFlow with Amazon Sagemaker
Please note: You will need an AWS account to complete this course.
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Course by
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3 hours
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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. To do this you will gain hands-on experience working in the Miro online visual collaboration platform for teamwork where you will leverage agile principles and the Kanban framework to produce a lean workflow. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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Course by
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Self Paced
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4 hours
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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.
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Course by
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Self Paced
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2 hours
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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. Each week we will focus on one key question, using video lectures, key readings and challenges to explore some commonplace notions about education.
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Course by
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Self Paced
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14 hours
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English