edX has shared with us some of their top new courses currently available to enrol in. Discover courses in Humanities, Data Science, Health, Economics & Finance, Computer Science and Business. Click on the course titles to go to the course page on edX. Humanities Introduction to Digital Humanities from Harvard Approximately 14 hours to complete Develop skills in digital research and visualization techniques across subjects and fields within the humanities. Data Analysis & Statistics Big Data Analytics Using Spark from UC San Diego Approximately 90 hours to complete Learn how to analyze large datasets using Jupyter notebooks, MapReduce and Spark as a platform. Probability - The Science of Uncertainty and Data from MIT Approximately 160 hours to complete Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference Python for Data Science from UC San Diego Approximately 80 hours to complete Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets. Health & Safety Humanitarian Response to Conflict and Disaster from Harvard Approximately 15 hours to complete Learn the principles guiding humanitarian response to modern emergencies, and the challenges faced in the field today. Global Public Health from SDG Academy Approximately 40 hours to complete Understanding the value of health not just as a benefit or right of individuals, but as a global public need. Economics & Finance Financial Market Analysis from the International Monetary Fund Approximately 56 hours to complete Learn the fundamentals of finance that are essential for both investors and policymakers. FinTech Ethics and Risks from Hong Kong University Approximately 12 hours to complete Learn how individuals and organizations can utilize and regulate blockchain, AI, and other FinTech solutions to ensure their adoption does not come at the expense of societal growth. Sustainable Development: The Post-Capitalist Order from SDG Academy Approximately 20 hours to complete Learn why sustainable development has been adopted by countries and multilateral organizations around the world, and how this approach is transforming the way we live, work, and govern our planet. Computer Science AWS IoT: Developing and Deploying an Internet of Things from Amazon Web Services Approximately 12 hours to complete Learn how to build, deploy and analyze secure IoT solutions in the AWS cloud Introduction to Computer Science and Programming Using Python from MIT Approximately 126 hours to complete An introduction to computer science as a tool to solve real-world analytical problems using Python 3.5. Introduction to Kubernetes from the Linux Foundation Approximately 28 hours to complete Want to learn Kubernetes? Get an in-depth primer on this powerful system for managing containerized applications. Build your very first iOS app from Curtin University Approximately 64 hours to complete Learn how to get started with app development and create your very first iOS app. Marketing Analytics: Competitive Analysis and Market Segmentation from Berkeley Approximately 20 hours to complete Learn how to analyze your competition and effectively segment your market to improve overall customer satisfaction and company profits. Quantum Machine Learning from University of Toronto Approximately 54 hours to complete In this course we will introduce several quantum machine learning algorithms and implement them in Python. Machine Learning with Python: from Linear Models to Deep Learning from MIT Approximately 130 hours to complete An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. Business & Management Just Money: Banking as if Society Mattered from MIT Approximately 48 hours to complete Learn how banks can use capital as a tool to promote social and environmental wellbeing. Enterprise Data Management from Indiana University Approximately 96 hours to complete Understand structured transactional data and known questions along with unknown, less-organized questions enabled by raw/external datasets in the data lakes.