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Free online courses and certificates from Unicef, The Open University, University of Edinburgh, University of London and other top universities in United Kingdom. Learn Python, Change Leadership, Statistics & Probability and other popular topics.
Learn Python from scratch in Jupyter Notebook: variables, numbers, strings, Booleans, lists, tuples, dictionaries, plus conditional and looping control structures and your own functions.
Lead sustainability transformation at work: apply leadership models, types of power, change process models and values-based leadership to plan and implement organisational change initiatives.
Learn why statistical models are needed for reliable inference, build numerical and graphical summaries in RStudio, and simulate coin and dice trials to develop probability intuition.
Explore data types, clean data for missing values and outliers, and build box plots, histograms and kernel density estimates in RStudio while simulating binomial probability experiments.
Learn version control with Git: create repositories, make commits, work with branches, write Markdown documentation, and track tasks using GitHub Projects and Issue Tracker.
Use radar to study airborne life: interpret radar data outputs and visualisations, quantify species biomass, measure abundance and diversity, and weigh the technology's taxonomic limits.
Explore front-end, back-end and full-stack roles, the web technologies behind HTML, CSS and JavaScript, data protection and intellectual property, and how to build a portfolio and get hired.
Explore cloud computing fundamentals, benefits and challenges, roles such as cloud developer, architect, security engineer and administrator, and the skills needed to enter the field.
Explore software development as a career: the roles in a development team, the skills and legal, social and ethical knowledge developers need, hiring industries, and landing a first job.
Explore definitions and frameworks of sustainability, the role of business in society, and sustainable business models such as the Triple Layer Business Model Canvas.
Improve data visualisations, design clear slides, and write research reports that communicate data science findings accurately to different audiences, with attention to academic integrity.
Apply ethical frameworks across the data science project lifecycle: debate professionalisation, test conditions for responsibility, weigh codes of ethics, and judge when to blow the whistle.
Plan a data science project end to end: define aims, build a project plan, run literature searches, critique published papers, and reflect on your decisions.
Learn to plan and deliver major engineering projects: measures of project performance, governance and risk, scope definition, and typical financing and initiation approaches.
These videos form an 8-lecture series on distributed systems, given as part of the undergraduate computer science course at the University of Cambridge.
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