Certificate in Flipped Learning & Data Science Fundamentals
-- ViewingNowThe Certificate in Flipped Learning & Data Science Fundamentals is a comprehensive course designed to meet the growing industry demand for professionals with skills in flipped learning and data science. This course emphasizes the importance of engaging students in the learning process by combining traditional teaching methods with technology-based resources.
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โข Introduction to Flipped Learning · Understanding the basics of flipped learning and its benefits in data science education. โข Data Science Fundamentals · Covering key concepts in data science, including data types, data wrangling, and data visualization. โข Flipped Learning Tools · Exploring various tools and platforms that can be used to create and deliver flipped learning content. โข Data Visualization in Flipped Learning · Applying data visualization techniques in flipped learning to help students better understand complex data. โข Active Learning in Flipped Classrooms · Encouraging students to take an active role in their learning through interactive activities and discussions. โข Assessing Flipped Learning · Evaluating the effectiveness of flipped learning through various assessment methods. โข Data Ethics · Discussing ethical considerations in data science, including data privacy, bias, and fairness. โข Machine Learning Fundamentals · Introducing students to the basics of machine learning, including supervised and unsupervised learning. โข Big Data Analytics · Exploring the challenges and opportunities of working with big data in data science.
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