This course provides a practical introduction to the “full stack” of data science analysis, including data collection and processing, data visualization and presentation, statistical model building using machine learning, and big data techniques for scaling these methods.
By Zico Kolter
The techniques and tools covered in Practical Data Science are most similar to the requirements found in Data Scientist job advertisements.
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