

Our Courses
Supervised Machine Learning: Regression and Classification
In the first course of the Machine Learning Specialization, you will: • Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. • Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online.
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Course by
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Self Paced
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33 hours
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English
Program Resource Planning with ClickUp
By the end of this guided project, you will be fluent in creating Program Resource Planning artefacts for the Planning Phase for diverse programs. You will utilise a logical diagramming plan in an agile environment to develop the solution. This will enable you to identify and classify the required components for resource planning.
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Course by
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Self Paced
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3 hours
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English
Analyzing Product Opportunities with Creately
By the end of this project, you will be fluent in identifying and analyzing product and market opportunities for new businesses, and in deriving next phase strategies from your analysis. This will enable you to generate positive results for your business venture. This project is designed to engage and harness your visionary and exploratory abilities. You will use proven models in competitive strategy and the Creately platform to explore and analyze these models. This is an important step for individuals or companies wanting to explore new markets for products or services.
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Course by
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Self Paced
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3 hours
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English
Conscious Leadership: Adapting to Changing Situations
This course is primarily aimed at leaders who want to build upon their leadership skills and capabilities in a variety of changing circumstances. This course will help you to develop as a leader to improve the way that you interact with other people, the way that you make decisions and the way that you manage performance and situations change around you.
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Course by
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Self Paced
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4 hours
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English
Advanced Programme Planning Phases Framework in ClickUp
By the end of this guided project, you will be fluent in creating Programme framework for the Planning Phases for diverse programmes. You will utilise a logical diagramming plan in an agile environment to develop the solution. This will enable you to identify and classify the required process for programmes and the functionality of domains involved in such complex undertaking.
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Course by
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Self Paced
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3 hours
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English
Program Gate Reviews with ClickUp
By the end of this guided project, you will be fluent in creating Program Gate Review artefacts for the Planning Phase for diverse programs. You will utilise a logical diagramming plan in an agile environment to develop the solution. This will enable you to identify and classify the required components for phase reviews.
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Course by
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Self Paced
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2 hours
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English
Program Management: Stakeholders Identification in ClickUp
By the end of this guided project, you will be fluent in creating Program stakeholder artefacts for the Identification/Planning Phase for diverse programs. You will utilise a logical diagramming plan in an agile environment to develop the solution. This will enable you to identify and classify the required components for stakeholder identification and planning.
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Course by
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Self Paced
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3 hours
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English
Developing Advanced Programme Delivery Framework in ClickUp
By the end of this guided project, you will be fluent in creating Programme framework for the Delivery Phases for diverse programmes. You will utilise a logical diagramming plan in an agile environment to develop the solution. This will enable you to identify and classify the required process for programmes and the functionality of domains involved in such complex undertaking.
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Course by
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Self Paced
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3 hours
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English
Positive Psychology: Martin E. P. Seligman's Visionary Science
Dr. Martin E.P. Seligman—renowned worldwide as the “father of Positive Psychology”—has led visionary leaps in the scientific research, empirical data and personal understandings of human flourishing. This course explores the past, present and future of positive psychology as a journey through the key scientific leaps led by Dr. Seligman and his colleagues at the University of Pennsylvania's Positive Psychology Center and Master of Applied Positive Psychology program. There are no prerequisites.
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Course by
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Self Paced
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16 hours
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English