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Basic Data Processing and Visualization

University of California, San Diego via Coursera

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Overview

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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.

Syllabus

Week 1: Introduction to Data Products

Week 2: Reading Data in Python

Week 3: Data Processing in Python

Week 4: Python Libraries and Toolkits

Final Project

Taught by

Julian McAuley and Ilkay Altintas

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