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University of California, San Diego

Basic Data Processing and Visualization

University of California, San Diego via Coursera

This course may be unavailable.


This is the first course in the four-course specialization Python Data Products for Predictive Analytics, introducing the basics of reading and manipulating datasets in Python. In this course, you will learn what a data product is and go through several Python libraries to perform data retrieval, processing, and visualization.

This course will introduce you to the field of data science and prepare you for the next three courses in the Specialization: Design Thinking and Predictive Analytics for Data Products, Meaningful Predictive Modeling, and Deploying Machine Learning Models. At each step in the specialization, you will gain hands-on experience in data manipulation and building your skills, eventually culminating in a capstone project encompassing all the concepts taught in the specialization.

Taught by

Julian McAuley and Ilkay Altintas


3.0 rating, based on 1 Class Central review

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  • Berbelek completed this course, spending 7 hours a week on it and found the course difficulty to be medium.

    Very uneven course. Some of topics and lessons are very interesting, some are extremely boring and does not provide enough insight. I knew some other courses made by Ilkay Altintas and expected much more from this one. I'm afraid it's not her best work, however I still find her way of explaining data science much better then explanations by Julian McAuley...

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