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Vor 4 Tagen · Study high impact leadership and learn how leadership challenges affect your organisation. Through a series of eight online modules, you'll explore how becoming a high impact leader can empower you to implement leadership and sustainability strategies and drive positive change.
Vor 5 Tagen · We are offering PhDs and postdocs in science disciplines across Cambridge University a free 'Data for Science' training course in February. Aimed at helping participants to apply data science tools to their own datasets and research problems, the course runs over five weeks, starting on 1 February 2021.
Vor 4 Tagen · The Sustainable Finance online short course from the University of Cambridge Institute for Sustainability Leadership (CISL) provides individuals with the tools and insights required to develop financial strategies that create value for society while investing in a sustainable future.
Vor 4 Tagen · The Sustainable Finance online short course from the University of Cambridge Institute for Sustainability Leadership (CISL) offers the tools and insights needed to develop financial strategies that create value for society and invest in a sustainable future.
Vor 3 Tagen · STARTS ON. 25 June 2024. DURATION. 12 Months Online. + In-Person Event at Cambridge. PROGRAMME FEE. £19,500 £17,500 and get £975 off with a referral £150 application fee. Flexible payment available. Tuition Fee Benefit. £2,000. This is only available to participants who apply by 9:59 PM, 9 May 2024.
Vor 3 Tagen · Learn the advantages and potential disadvantages of remote learning and get tips on maximising the experience. E-learning is learning from a course or part of a course that is delivered electronically. You access this form of digital learning live online or at your own pace via recorded material. E-learning is varied, provided through video ...
Vor 4 Tagen · Course aims. To introduce fundamental concepts underpinning Machine Learning approaches. To study a wide variety of Machine Learning tools, from clustering to Deep Learning. To identify the opportunities and challenges presented by modern Machine Learning methods.
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