Survey of Data Science

О курсе

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this comprehensive course, you will gain a solid foundation in the field of data science, exploring various roles and tasks that data scientists perform. You will learn the distinction between data analysis and data science, gaining insight into the essential skills and activities that make data science so powerful. This course will help you develop the knowledge and skills to understand data and its real-world applications. You’ll begin by diving into exploratory data science, including understanding data distributions, visualizations, and the steps to clean and structure data. As you advance, you'll explore unstructured data, working with complex formats such as text and video, and discover the methods to extract valuable information from them. Additionally, you’ll engage with key concepts such as associative rules and decision trees, honing the skills to model data effectively. This course will also introduce you to advanced topics like linear and logistic regression, neural networks, and the Lambda architecture, empowering you with the tools to analyze both structured and unstructured data. Whether you are looking to build a data pipeline or evaluate machine learning models, you’ll explore how these techniques apply to real-world scenarios.

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