Comprehensive introduction to data science, covering data wrangling, analysis, and machine learning. Prepares students for real-world data science challenges.
Learning from data in order to gain useful predictions and insights. This course introduces methods for five key facets of an investigation: data wrangling, cleaning, and sampling to get a suitable data set; data management to be able to access big data quickly and reliably; exploratory data analysis to generate hypotheses and intuition; prediction based on statistical methods such as regression and classification; and communication of results through visualization, stories, and interpretable summaries.
This course is well-suited for students with some prior programming experience who are interested in learning the fundamentals of data science. It offers a comprehensive introduction to the field and equips students with the necessary skills to tackle real-world data science problems.
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