Our Courses

Inferential Statistical Analysis with Python

Inferential Statistical Analysis with Python

In this course, we will explore basic principles behind using data for estimation and for assessing theories. We will analyze both categorical data and quantitative data, starting with one population techniques and expanding to handle comparisons of two populations. We will learn how to construct confidence intervals. We will also use sample data to assess whether or not a theory about the value of a parameter is consistent with the data. A major focus will be on interpreting inferential results appropriately.

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  • 19 hours
  • English
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Foundations of Data Science: K-Means Clustering in Python

Foundations of Data Science: K-Means Clustering in Python

Organisations all around the world are using data to predict behaviours and extract valuable real-world insights to inform decisions. Managing and analysing big data has become an essential part of modern finance, retail, marketing, social science, development and research, medicine and government. This MOOC, designed by an academic team from Goldsmiths, University of London, will quickly introduce you to the core concepts of Data Science to prepare you for intermediate and advanced Data Science courses.

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  • 29 hours
  • English
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Guitar Scales and Chord Progressions

Guitar Scales and Chord Progressions

You’ve got the guitar basics down: You can strum your guitar and play a few of your favorite songs, but you’re ready to take the tunes to the next level. In Guitar Scales and Chord Progressions you’ll expand your knowledge of scales, chord fingerings, and common chord progressions. You’ll also learn important skills for soloing, creating melodies, and adding depth and dimension to your guitar playing.

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  • 14 hours
  • English
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Asian Environmental Humanities: Landscapes in Transition

Asian Environmental Humanities: Landscapes in Transition

In this course, featuring many researchers from the University of Zurich and international institutions, we will introduce you to some of the most vibrant cultural trends addressing landscape appreciation, degradation, protection, and rehabilitation that currently circulate in the Asian hemisphere. You will learn about concepts of landscape in Asian religions, philosophy, social sciences, history and the arts and their reverberation in selected environmental projects in China, India and Japan.

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  • 14 hours
  • English
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Version Control with Git

Version Control with Git

The Version Control with Git course provides you with a solid, hands-on foundation for understanding the Git version control system. Git is open source software originally created by Linus Torvalds. Git manages team files for large and small projects. This allows the team to continuously improve its product. It is used by most major technology companies, and is assumed knowledge for many modern programming and IT jobs. It is a core component of DevOps, continuous delivery pipelines and cloud-native computing.

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  • 13 hours
  • English
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Understanding and Visualizing Data with Python

Understanding and Visualizing Data with Python

In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. Learners will identify different types of data, and learn how to visualize, analyze, and interpret summaries for both univariate and multivariate data.

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  • 21 hours
  • English
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Process Mining: Data science in Action

Process Mining: Data science in Action

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis.

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  • 22 hours
  • English
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Convolutional Neural Networks in TensorFlow

Convolutional Neural Networks in TensorFlow

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. In Course 2 of the DeepLearning.AI TensorFlow Developer Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1.

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  • 17 hours
  • English
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Model Thinking

Model Thinking

We live in a complex world with diverse people, firms, and governments whose behaviors aggregate to produce novel, unexpected phenomena. We see political uprisings, market crashes, and a never ending array of social trends. How do we make sense of it? Models. Evidence shows that people who think with models consistently outperform those who don't. And, moreover people who think with lots of models outperform people who use only one. Why do models make us better thinkers?

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  • 27 hours
  • English
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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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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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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. 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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  • 10 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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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. 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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  • 9 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. 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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  • 5 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.

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  • 14 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! 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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  • 10 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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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.

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  • 29 hours
  • English
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Introduction to Big Data with Spark and Hadoop

Introduction to Big Data with Spark and Hadoop

This self-paced IBM course will teach you all about big data! You will become familiar with the characteristics of big data and its application in big data analytics. You will also gain hands-on experience with big data processing tools like Apache Hadoop and Apache Spark. Bernard Marr defines big data as the digital trace that we are generating in this digital era. You will start the course by understanding what big data is and exploring how insights from big data can be harnessed for a variety of use cases.

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  • 24 hours
  • English
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The Bits and Bytes of Computer Networking

The Bits and Bytes of Computer Networking

This course is designed to provide a full overview of computer networking. We’ll cover everything from the fundamentals of modern networking technologies and protocols to an overview of the cloud to practical applications and network troubleshooting.

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  • 27 hours
  • English
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Autodesk Fusion 360 Integrated CAD/CAM/CAE

Autodesk Fusion 360 Integrated CAD/CAM/CAE

Design, engineering, and manufacturing are undergoing a digital transformation, and the need for a collaborative product development environment is becoming an ever-growing requirement. Autodesk® Fusion 360™ meets this need by connecting CAD, CAM, and CAE in a single cloud-based platform unlike any other tool of its kind. This course builds upon digital manufacturing trends and foundational CAD concepts discussed in Course 1 of this series by introducing Fusion 360 as a problem-solving tool.

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  • 12 hours
  • English
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Intelligence Tools for the Digital Age

Intelligence Tools for the Digital Age

Digital technologies are changing business, government and society worldwide. Clearly, they’re opening up new risks and opportunities for every sector of the world economy. Such “futurology” may offer you the big picture, but what does a digital world mean for you, personally? Will you be ready for an automated, AI-assisted, big-data-driven employment future? This course provides you an answer to these questions, and it does so from a unique perspective: by introducing you to the world of intelligence analysis.

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  • 8 hours
  • English
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Introduction to Cyber Attacks

Introduction to Cyber Attacks

This course provides learners with a baseline understanding of common cyber security threats, vulnerabilities, and risks. An overview of how basic cyber attacks are constructed and applied to real systems is also included. Examples include simple Unix kernel hacks, Internet worms, and Trojan horses in software utilities. Network attacks such as distributed denial of service (DDOS) and botnet- attacks are also described and illustrated using real examples from the past couple of decades.

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  • 19 hours
  • English
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App Deployment, Debugging, and Performance

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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  • 9 hours
  • English
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