Our Courses

Data-driven Astronomy

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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  • 24 hours
  • English
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HTML and CSS in depth

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. Finally, you’ll explore debugging and learn how it can be utilized to banish common front-end errors.
By the end of this course you will be able to:

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  • 29 hours
  • English
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Politics and Economics of International Energy

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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  • 30 hours
  • English
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Supply Chain Analytics Essentials

Supply Chain Analytics Essentials

Welcome to Supply Chain Analytics - an exciting area that is in high demand!

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  • 10 hours
  • English
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Exploratory Data Analysis for Machine Learning

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. You will learn common techniques to retrieve your data, clean it, apply feature engineering, and have it ready for preliminary analysis and hypothesis testing.

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  • 14 hours
  • English
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Sustainable Fashion

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.

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  • 5 hours
  • English
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Managing Data Analysis

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.

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  • 9 hours
  • English
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Advertising with Meta

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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  • 23 hours
  • English
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The Brain and Space

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.

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  • 10 hours
  • English
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Writing and Editing: Drafting

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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  • 14 hours
  • English
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Data Visualization and Dashboards with Excel and Cognos

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.

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  • 24 hours
  • English
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Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

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 upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.

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  • 18 hours
  • English
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Custom Models, Layers, and Loss Functions with TensorFlow

Custom Models, Layers, and Loss Functions with TensorFlow

In this course, you will:

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  • 31 hours
  • English
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Introduction to Relational Databases (RDBMS)

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.

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  • 19 hours
  • English
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Getting started with TensorFlow 2

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.

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  • 26 hours
  • English
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Google Cloud IAM and Networking for AWS Professionals

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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  • 4 hours
  • English
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A Strategic Approach to Cybersecurity

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.

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  • 10 hours
  • English
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Building Web Applications in Django

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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  • 13 hours
  • English
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Foundations of Virtual Instruction

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:

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  • 13 hours
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Understanding Europe: Why It Matters and What It Can Offer You

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 \ndiscover 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.

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  • 16 hours
  • English
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Data Structures and Design Patterns for Game Developers

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. Throughout this course you'll build on your foundational C# and Unity knowledge by developing more robust games with better object-oriented designs using various data structures and design patterns.

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  • 22 hours
  • English
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Big Data Emerging Technologies

Big Data Emerging Technologies

Every time you use Google to search something, every time you use Facebook, Twitter, Instagram or any other SNS (Social Network Service), and every time you buy from a recommended list of products on Amazon.com you are using a big data system. In addition, big data technology supports your smartphone, smartwatch, Alexa, Siri, and automobile (if it is a newer model) every day. The top companies in the world are currently using big data technology, and every company is in need of advanced big data technology support.

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  • 30 hours
  • English
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A Blueprint for Success - Your Video Pre-Production

A Blueprint for Success - Your Video Pre-Production

In this course, we will learn about pre-production, which requires levels of planning before you ever pick up a camera. We will share with you the terminology used widely in production work, along with our ideas for affordable camera gear and editing applications. We’ll also discuss strategies to help you generate story ideas and the focus, find characters, write treatments and scripts, draw storyboards, and even pointers on how to pitch your stories.

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  • 11 hours
  • English
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Six Sigma Principles

Six Sigma Principles

This course is for you if you are looking to learn more about Six Sigma or refresh your knowledge of the basic components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes and performance. This course will introduce you to the purpose of Six Sigma and its value to an organization. You will learn about the basic principles of Six Sigma and Lean.

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  • 13 hours
  • English
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Data Science in Real Life

Data Science in Real Life

Have you ever had the perfect data science experience? The data pull went perfectly. There were no merging errors or missing data. Hypotheses were clearly defined prior to analyses. Randomization was performed for the treatment of interest. The analytic plan was outlined prior to analysis and followed exactly. The conclusions were clear and actionable decisions were obvious. Has that every happened to you? Of course not. Data analysis in real life is messy. How does one manage a team facing real data analyses? In this one-week course, we contrast the ideal with what happens in real life.

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  • 7 hours
  • English
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