Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
Our Courses
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.
-
Course by
-
Self Paced
-
10 hours
-
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.
-
Course by
-
Self Paced
-
23 hours
-
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.
-
Course by
-
Self Paced
-
9 hours
-
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.
-
Course by
-
Self Paced
-
5 hours
-
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.
-
Course by
-
Self Paced
-
14 hours
-
English
Giving Helpful Feedback
This course teaches you the simple principles expert managers use to improve and motivate employee performance. You’ll never have to avoid telling an employee “the truth” again, because the seven techniques we teach will not make employees defensive or afraid. As a manager, or someone who would like to be a manager, you’ll also learn specifically what feedback is, how negative feedback is weighed more heavily than positive, and how positive feedback can super-charge behaviors such as creativity and teamwork. Giving feedback is a skill which develops over time.
-
Course by
-
Self Paced
-
5 hours
-
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.
-
Course by
-
Self Paced
-
10 hours
-
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.
-
Course by
-
Self Paced
-
30 hours
-
English
Data Visualization in Excel
In an age now driven by "big data", we need to cut through the noise and present key information in a way that can be quickly consumed and acted upon making data visualization an increasingly important skill. Visualizations need to not only present data in an easy to understand and attractive way, but they must also provide context for the data, tell a story, achieving that fine balance between form and function. Excel has many rivals in this space, but it is still an excellent choice, particularly if it's where your data resides.
-
Course by
-
Self Paced
-
18 hours
-
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.
-
Course by
-
Self Paced
-
29 hours
-
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.
-
Course by
-
Self Paced
-
24 hours
-
English
The Art of Music Production
Explore the art of record production and how to make recordings that other people will love listening to. This course will teach you how to make emotionally moving recordings on almost any recording equipment, including your phone or laptop. The emphasis is on mastering tangible artistic concepts; the gear you use is up to you. You will learn to develop the most important tool in the recording studio: your ears. You will learn to enhance every aspect of your own productions, both sonically and musically, by employing deeper listening skills.
-
Course by
-
Self Paced
-
13 hours
-
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.
-
Course by
-
Self Paced
-
35 hours
-
English
English for Business and Entrepreneurship
Welcome to English for Business and Entrepreneurship, a course created by the University of Pennsylvania, and funded by the U.S. Department of State Bureau of Educational and Cultural Affairs, Office of English Language Programs. To enroll in this course for free, click on “Enroll now” and then select "Full Course. No certificate." This course is designed for non-native English speakers who are interested in learning more about the global business economy. In this course, you will learn about topics and language necessary to succeed in the international workplace.
-
Course by
-
Self Paced
-
32 hours
-
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.
-
Course by
-
Self Paced
-
18 hours
-
English
Developing Data Products
A data product is the production output from a statistical analysis. Data products automate complex analysis tasks or use technology to expand the utility of a data informed model, algorithm or inference. This course covers the basics of creating data products using Shiny, R packages, and interactive graphics. The course will focus on the statistical fundamentals of creating a data product that can be used to tell a story about data to a mass audience.
-
Course by
-
Self Paced
-
10 hours
-
English
Introduction to Chemistry: Structures and Solutions
This is an introductory course for students with limited background in chemistry; basic concepts such as atomic and molecular structure, solutions, phases of matter, and quantitative problem solving will be emphasized with the goal of preparing students for further study in chemistry.
-
Course by
-
Self Paced
-
17 hours
-
English
Introduction to Electronics
This course introduces students to the basic components of electronics: diodes, transistors, and op amps. It covers the basic operation and some common applications.
-
Course by
-
Self Paced
-
46 hours
-
English
Practical Machine Learning
One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will provide basic grounding in concepts such as training and tests sets, overfitting, and error rates. The course will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests.
-
Course by
-
Self Paced
-
9 hours
-
English
Programming with JavaScript
JavaScript is the programming language that powers the modern web. In this course, you will learn the basic concepts of web development with JavaScript. You will work with functions, objects, arrays, variables, data types, the HTML DOM, and much more. You will learn how to use JavaScript and discover interactive possibilities with modern JavaScript technologies. Finally, you will learn about the practice of testing code and how to write a unit test using Jest.
-
Course by
-
Self Paced
-
42 hours
-
English
Build Basic Generative Adversarial Networks (GANs)
In this course, you will: - Learn about GANs and their applications - Understand the intuition behind the fundamental components of GANs - Explore and implement multiple GAN architectures - Build conditional GANs capable of generating examples from determined categories The DeepLearning.AI Generative Adversarial Networks (GANs) Specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach.
-
Course by
-
Self Paced
-
30 hours
-
English
Genomics: Decoding the Universal Language of Life
What is a genome? A genome contains all of the information that a cell needs to develop, function, and reproduce itself, and all the information needed for those cells to come together to form a person, plant, or animal. Genomes contain an organism’s complete set of genes, and also the even tinier genetic structures that help regulate when and how those genes are used. The ability to regrow a torn ligament, the clues that might predict the onset of mental illness, the nutritional potential of crops, and even the history of life itself, are all encoded in genomes.
-
Course by
-
Self Paced
-
37 hours
-
English
Computational Thinking for Problem Solving
Computational thinking is the process of approaching a problem in a systematic manner and creating and expressing a solution such that it can be carried out by a computer. But you don't need to be a computer scientist to think like a computer scientist! In fact, we encourage students from any field of study to take this course. Many quantitative and data-centric problems can be solved using computational thinking and an understanding of computational thinking will give you a foundation for solving problems that have real-world, social impact.
-
Course by
-
Self Paced
-
18 hours
-
English
Getting Started with Google Kubernetes Engine
Welcome to the Getting Started with Google Kubernetes Engine course. If you're interested in Kubernetes, a software layer that sits between your applications and your hardware infrastructure, then you’re in the right place! Google Kubernetes Engine brings you Kubernetes as a managed service on Google Cloud. The goal of this course is to introduce the basics of Google Kubernetes Engine, or GKE, as it’s commonly referred to, and how to get applications containerized and running in Google Cloud.
-
Course by
-
Self Paced
-
6 hours
-
English
Introduction to Enterprise Computing
Large Scale Enterprise Computing powers all major transactions, and the Mainframe is responsible for 87% of all credit card transactions and enables 71% of all Fortune 500 companies. Mainframes are fundamental on how we do business, and IBM Z is the only production mainframe sold today. Virtually everyone depends on it. This is your introduction to the hardware, operating systems, security, and features that make this possible. On successful completion of this course, learners are eligible to earn their Introduction to Enterprise Computing badge.
-
Course by
-
Self Paced
-
10 hours
-
English