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Our Courses
Bayesian Statistics: Techniques and Models
This is the second of a two-course sequence introducing the fundamentals of Bayesian statistics. It builds on the course Bayesian Statistics: From Concept to Data Analysis, which introduces Bayesian methods through use of simple conjugate models. Real-world data often require more sophisticated models to reach realistic conclusions. This course aims to expand our “Bayesian toolbox” with more general models, and computational techniques to fit them.
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Course by
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Self Paced
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30 hours
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English
App Deployment, Debugging, and Performance
In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to create repeatable deployments by treating infrastructure as code, choose the appropriate application execution environment for an application, and monitor application performance.
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Course by
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Self Paced
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9 hours
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English
A Crash Course in Causality: Inferring Causal Effects from Observational Data
We have all heard the phrase “correlation does not equal causation.” What, then, does equal causation? This course aims to answer that question and more! Over a period of 5 weeks, you will learn how causal effects are defined, what assumptions about your data and models are necessary, and how to implement and interpret some popular statistical methods. Learners will have the opportunity to apply these methods to example data in R (free statistical software environment). At the end of the course, learners should be able to: 1. Define causal effects using potential outcomes 2.
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Course by
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Self Paced
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18 hours
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English
Blood Film Morphology - A Practical Guide
This is a unique online course which teaches students the basics of blood film analysis. This course is specifically tailored to those with a background in Medical Science, Medicine or Pathology who are studying or starting work in a haematology laboratory but also serves as a valuable continuing education resource. To be successful in this course, access to a haematology laboratory is desirable but not essential.
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Course by
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Self Paced
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35 hours
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English
Data-driven Astronomy
Science is undergoing a data explosion, and astronomy is leading the way. Modern telescopes produce terabytes of data per observation, and the simulations required to model our observable Universe push supercomputers to their limits. To analyse this data scientists need to be able to think computationally to solve problems. In this course you will investigate the challenges of working with large datasets: how to implement algorithms that work; how to use databases to manage your data; and how to learn from your data with machine learning tools.
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Course by
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Self Paced
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24 hours
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English
HTML and CSS in depth
In this course, you’ll use software development tools like HTML to build attractive web pages that work well—and you’ll use structured semantic data to control how websites appear to the end user. You will then dive deeper into CSS by applying increasingly specific styling to various elements. You’ll learn to use Bootstrap’s grid system to create layouts and work with components and themes.
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Course by
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Self Paced
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29 hours
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English
Politics and Economics of International Energy
Energy issues have always been important in international relations, but in recent years may have become even more important than in the past due to the widespread awareness of existing limits to energy sources and negative climate impacts. The course discusses global trends in energy consumption and production, various available scenarios for potential developments in the coming decades, the availability of oil reserves and the evolution of the oil industry. It then discusses natural gas and highlights the differences between oil and gas.
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Course by
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Self Paced
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30 hours
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English
Supply Chain Analytics Essentials
Welcome to Supply Chain Analytics - an exciting area that is in high demand! In this introductory course to Supply Chain Analytics, I will take you on a journey to this fascinating area that applies data analytics to diagnose and solve problems in supply chain management. You will learn real life examples on how data analytics can generate a significant financial and economic impact in various domains of a supply chain, from selling, to logistics, production and sourcing. You will learn job market outlook, requirement and preparation.
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Course by
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Self Paced
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10 hours
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English
Exploratory Data Analysis for Machine Learning
This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data.
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Course by
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Self Paced
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14 hours
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English
Sustainable Fashion
Sometimes when we say we work with sustainable fashion people look at us like... "Mmmm, is it really possible for something like fashion to be sustainable?" And let's face it, people are right being suspicious. If anything the fashion industry has become increasingly unsustainable over the last decades, using more and more natural resources and creating more and more waste. In this course, we provide an overview of business model theory and discuss business models as essential tools in the transformation towards more sustainable businesses.
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Course by
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Self Paced
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5 hours
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English
Managing Data Analysis
This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team and to drive the data analysis process towards coherent and useful results. This is a focused course designed to rapidly get you up to speed on the process of data analysis and how it can be managed.
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Course by
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Self Paced
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9 hours
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English
Advertising with Meta
This course will establish you as an expert in Meta Ads Manager. Learn how to structure campaigns in Ads Manager by selecting ad objectives, target audience, budget, and placement that fit your unique goals. Learn to create and manage ads across Facebook and Instagram and evaluate and optimize the results of your Ads Manager campaigns. You will end the course by creating an actual ad campaign in Ads Manager to expand not only your knowledge, but your social media marketing portfolio.
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Course by
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Self Paced
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23 hours
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English
The Brain and Space
This course is about how the brain creates our sense of spatial location from a variety of sensory and motor sources, and how this spatial sense in turn shapes our cognitive abilities. Knowing where things are is effortless. But “under the hood,” your brain must figure out even the simplest of details about the world around you and your position in it. Recognizing your mother, finding your phone, going to the grocery store, playing the banjo – these require careful sleuthing and coordination across different sensory and motor domains.
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Course by
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Self Paced
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10 hours
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English
Writing and Editing: Drafting
This third course in the “Good with Words: Writing and Editing” series will give you a number of strategies to help with what is often the most intimidating, even paralyzing part of the writing process: getting started. You’ll learn about the “planning fallacy” and “temptation bundling.” You’ll get a chance to experiment with “freewriting” and “writing before you are ready.” And you’ll continue to benefit, through our ongoing “Good Sentences” and “Takeaways” segments, from the models and advice of a diverse set of writers.
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Course by
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Self Paced
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14 hours
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English
Data Visualization and Dashboards with Excel and Cognos
Learn how to create data visualizations and dashboards using spreadsheets and analytics tools. This course covers some of the first steps for telling a compelling story with your data using various types of charts and graphs. You'll learn the basics of visualizing data with Excel and IBM Cognos Analytics without having to write any code. You'll start by creating simple charts in Excel such as line, pie and bar charts. You will then create more advanced visualizations with Treemaps, Scatter Charts, Histograms, Filled Map Charts, and Sparklines.
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Course by
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Self Paced
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24 hours
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English
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the DeepLearning.AI TensorFlow Developer Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning.
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Course by
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Self Paced
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18 hours
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English
Custom Models, Layers, and Loss Functions with TensorFlow
In this course, you will: • Compare Functional and Sequential APIs, discover new models you can build with the Functional API, and build a model that produces multiple outputs including a Siamese network. • Build custom loss functions (including the contrastive loss function used in a Siamese network) in order to measure how well a model is doing and help your neural network learn from training data.
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Course by
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Self Paced
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31 hours
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English
Introduction to Relational Databases (RDBMS)
Are you ready to dive into the world of data engineering? In this beginner level course, you will gain a solid understanding of how data is stored, processed, and accessed in relational databases (RDBMSes). You will work with different types of databases that are appropriate for various data processing requirements. You will begin this course by being introduced to relational database concepts, as well as several industry standard relational databases, including IBM DB2, MySQL, and PostgreSQL.
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Course by
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Self Paced
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19 hours
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English
Getting started with TensorFlow 2
Welcome to this course on Getting started with TensorFlow 2! In this course you will learn a complete end-to-end workflow for developing deep learning models with Tensorflow, from building, training, evaluating and predicting with models using the Sequential API, validating your models and including regularisation, implementing callbacks, and saving and loading models. You will put concepts that you learn about into practice straight away in practical, hands-on coding tutorials, which you will be guided through by a graduate teaching assistant.
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Course by
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Self Paced
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26 hours
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English
Google Cloud IAM and Networking for AWS Professionals
This is the first course of a four-course series for cloud architects and engineers with existing AWS knowledge, and it compares Google Cloud and AWS solutions and guides professionals on their use. This course focuses on Identity and Access Management (IAM) and networking in Google Cloud. The learners apply the knowledge of access management and networking in AWS to explore the similarities and differences with access management and networking in Google Cloud. Learners get hands-on practice building and managing Google Cloud resources.
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Course by
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Self Paced
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4 hours
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English
A Strategic Approach to Cybersecurity
Cybersecurity affects everyone, including in the delivery of basic products and services. If you or your organization want to better understand how to address your cybersecurity, this is the course for you and your colleagues to take -- from seasoned professionals to your non-technical colleagues. Your instructor, Dr. Charles Harry, has served on the front lines with the NSA (National Security Agency) and as an expert advising corporate and institutional leaders on managing cybersecurity risk. And he brings a rare and engaging perspective to help you learn cybersecurity from the ground up.
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Course by
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Self Paced
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10 hours
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English
Building Web Applications in Django
In this course, you will learn how Django communicates with a database through model objects. You will explore Object-Relational Mapping (ORM) for database access and how Django models implement this pattern. We will review the Object-Oriented (OO) pattern in Python. You will learn basic Structured Query Language (SQL) and database modeling, including one-to-many and many-to-many relationships and how they work in both the SQL and Django models. You will learn how to use the Django console and scripts to work with your application objects interactively.
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Course by
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Self Paced
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13 hours
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English
Foundations of Virtual Instruction
Welcome to Foundations of Virtual Instruction! This course will help you 'up' your game and develop the advanced skills and techniques that elude even some of the most experienced virtual teachers in the K-12 space. Examine pitfalls and learn how to overcome them by focusing on the fundamentals that have the most significant impact on student learning in a blended or online environment. When you complete this course, you will be able to: • Craft virtual learning experiences that align with your student's needs.
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Course by
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Self Paced
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13 hours
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English
Understanding Europe: Why It Matters and What It Can Offer You
Regardless of where you live, the European Union not only affects your life, but may also transform it. By learning how Europe works, a new world will open up to you and discover new jobs you never heard of. The European Union has a large, yet often unnoticed, impact on many aspects of everybody’s life. We will analyze what the EU is doing for YOU regardless of where you live. We will also look at what YOU can do for and in Europe. Whether you are traveling, eating, working, doing business, shopping, surfing the Internet or breathing, all these activities are largely shaped by the EU.
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Course by
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Self Paced
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16 hours
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English
Data Structures and Design Patterns for Game Developers
This course is a stand-alone course that builds on the knowledge included in the C# Programming for Unity Game Development Specialization, so the course assumes you have the prerequisite knowledge from that Specialization. You should make sure you have that knowledge, either by taking those courses or from personal experience, before tackling this course.
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Course by
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Self Paced
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22 hours
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English