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University of California, San Diego

Data Science

University of California, San Diego via edX Micromasters

Overview

Excel in Data Science, one of the hottest fields in tech today. Learn how to gain new insights from big data by asking the right questions, manipulating data sets and visualizing your findings in compelling ways.

In this MicroMasters program, you will develop a well-rounded understanding of the mathematical and computational tools that form the basis of data science and how to use those tools to make data-driven business recommendations.

This MicroMasters program encompasses two sides of data science learning: the mathematical and the applied.

Mathematical courses cover probability, statistics, and machine learning. The applied courses cover the use of specific toolkit and languages such as Python, Numpy, Matplotlib, pandas and Scipy, the Jupyter notebook environment and Apache Spark to delve into real world data.

You will learn how to collect, clean and analyse big data using popular open source software will allow you to perform large-scale data analysis and present your findings in a convincing, visual way. When combined with expertise in a particular type of business, it will make you a highly desirable employee.

Syllabus

Courses under this program:
Course 1: Python for Data Science

Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.



Course 2: Probability and Statistics in Data Science using Python

Using Python, learn statistical and probabilistic approaches to understand and gain insights from data.



Course 3: Machine Learning Fundamentals

Understand machine learning's role in data-driven modeling, prediction, and decision-making.



Course 4: Big Data Analytics Using Spark

Learn how to analyze large datasets using Jupyter notebooks, MapReduce and Spark as a platform.



Courses

Taught by

Leo Porter, Alon Orlitsky, Yoav Freund, Sanjoy Dasgupta and Ilkay Altintas

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