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Software Processes and Agile Practices
by Kenny Wong- 4.7
Approx. 8 hours to complete
Course Resources: Software Processes and Agile Practices Course Map: Software Processes and Agile Practices 1: Agile Variations and Lean Software Development 1A: Agile Variations and Lean Software Development 1B: Agile Variations and Lean Software Development 1C: Agile Variations and Lean Software Development Congratulations and Preview a Capstone Course Apply the fundamentals of Agile software development and management practices....
Cultural Heritage and the City
by Anna Triandafyllidou , Jeremie Molho- 0.0
3
Discover how cities develop their own unique cultures and explore key concepts related to cultural heritage. Welcome to our course Cities and their heritage Heritage and urban development Heritage and Urban Change Cultural heritage vs urban development Events and city identity Course wrap up...
Free
Machine Learning Data Lifecycle in Production
by Robert Crowe- 4.5
Approx. 20 hours to complete
Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and engineering roles to help you develop production-ready skills....
Management of International Development: Towards Agenda 2030
by Greta Nasi , Luca Brusati , Alexander Maximilian Hiedemann , Daniele Alesani- 4.8
Approx. 8 hours to complete
This course provides participants with the opportunity to explore the multifaceted concept of international development in order to be able to interpret and lead its challenges, opportunities and constant evolutions. Actors and trends in International Development Cooperation. Good Governance and International Development WEEK 3 - FUNDING AND FINANCING FOR INTERNATIONAL DEVELOPMENT...
Youth Mental Health: Helping Young People with Anxiety
- 0.0
3
Get an introduction to managing anxiety disorders in teenagers, with a course ideal for teachers and healthcare professionals. Introduction to course and characteristics and causes of adolescent anxiety Introduction to the course Adolescent development Stigma and mental illness End of course summary...
Free
Musicianship: Tensions, Harmonic Function, and Modal Interchange
by George W. Russell, Jr.Top Instructor- 4.9
Approx. 11 hours to complete
After a tremendous response from learners on Coursera, Berklee Online has created a Developing Your Musicianship specialization, and this course is the third course in the series. , the course includes four lessons that delve into an intermediate level of harmony and ear training. The course will introduce you to new key signatures, and explore how they are constructed....
Engineering Project Management: Scope, Time and Cost Management
by Tom Phalen , Kazimir Karwowski- 4.8
Approx. 23 hours to complete
This course will give you the tools to develop a project scope, schedule and budget and then status them to predict project performance. Learners who complete this course on the Certificate track will be awarded 14 hours of Profession Development Units. Using, Editing, and Submitting Documents in this Course Introduction and Objectives...
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Introduction to People Analytics
by Ilya Breyman , Alexey Dolinskiy- 4.3
Approx. 13 hours to complete
This course is designed to provide you with an understanding of the role of data and technology in human capital management. In the course we use the 4Ts principle: Task, Theory, Technique and Technology so that there is always a connection to organizational performance objectives, an overview of underlying theories and principles, and specific tools which help achieve business objectives....
Supervised Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.8
Approx. 11 hours to complete
This course also walks you through best practices, including train and test splits, and regularization techniques. To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
Supervised Machine Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.7
Approx. 11 hours to complete
This course also walks you through best practices, including train and test splits, and regularization techniques. To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....