Executive Development Programme in Design & Data Science
-- ViewingNowThe Executive Development Programme in Design & Data Science is a certificate course that holds immense importance in today's data-driven world. The program is designed to cater to the growing industry demand for professionals who possess a deep understanding of data science principles and design thinking.
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Design Thinking & Innovation: This unit will cover the design thinking process, including empathizing, defining, ideating, prototyping, and testing. It will also cover innovation strategies and how to apply design thinking to data science problems.
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Data Science Fundamentals: This unit will provide an overview of data science, including data collection, data cleaning, data analysis, and data visualization. It will also cover basic statistics and machine learning concepts.
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Machine Learning Algorithms: This unit will dive deeper into various machine learning algorithms, including supervised, unsupervised, and reinforcement learning. It will cover common algorithms such as linear regression, logistic regression, decision trees, random forests, and neural networks.
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Big Data & Data Engineering: This unit will cover the challenges and opportunities of working with big data. It will cover data storage solutions, data processing frameworks, and data pipelines. It will also cover the role of data engineering in data science.
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Data Visualization & Communication: This unit will cover best practices for data visualization and data communication. It will cover various data visualization tools and techniques, as well as how to communicate data insights effectively to stakeholders.
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Ethics in Data Science: This unit will cover the ethical considerations of data science, including data privacy, data security, and algorithmic bias. It will also cover the role of data scientists in ensuring ethical data practices.
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Leadership & Team Management: This unit will cover leadership and team management skills for data science leaders. It will cover topics such as team building, project management, and communication skills.
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Emerging Trends in Data Science: This unit will cover the latest trends and developments in data science, including artificial intelligence, natural language processing, and blockchain. It will also cover the future of data science and its impact on business and society.
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Data-Driven Decision Making: This unit will cover how to use data to make informed business decisions. It will cover topics such as hypothesis testing, A/B testing, and experiment design. It will
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