MicroMasters® Program in Data Science

University of California

via

edX

Course Features

Duration

10 months

Delivery Method

Online

Available on

Limited Access

Accessibility

Desktop, Laptop

Language

English

Subtitles

English

Level

Advanced

Effort

11 hours per week

Teaching Type

Self Paced

Course Description

Excel in Data Science is one of the most exciting fields in tech today. You will learn how to extract new insights from big data. This includes manipulating data sets, asking the right questions and visualizing your results in compelling ways.

This MicroMasters program will give you a solid understanding of the mathematical tools and computational tools that are the foundation of data science, and how to use them to make data-driven business suggestions.

The MicroMasters program combines two aspects of data science learning: the applied and mathematical.

Mathematics courses include statistics, probability, and machine learning. The courses in applied mathematics cover specific tools and languages like Python, Numpy and Matplotlib.

Learn how to clean, analyse, and collect big data with popular open-source software. This will enable you to do large-scale data analysis, and then present your results in a compelling, visual manner. It will make you a highly-sought after employee when combined with your expertise in a specific type of business.

Course Overview

International Faculty

Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

How to load and clean real-world data

How to make reliable statistical inferences from noisy data

How to use machine learning to learn models for data

How to visualize complex data

How to use Apache Spark to analyze data that does not fit within the memory of a single computer

Course Content

Expand all sections

Module 1: Python for Data Science

Module 2: Probability and Statistics in Data Science using Python

Module 3: Machine Learning Fundamentals

Module 4: Big Data Analytics Using Spark

Course Instructors

Sanjoy Dasgupta

Professor of Computer Science and Engineering

Sanjoy is Professor of Computer Science and Engineering at the University of California, San Diego. He received his A.B. from Harvard in 1993 and his Ph.D. from Berkeley in 2000, both in Computer Science.

Ilkay Altintas

Chief Data Science Officer at the San Diego Supercomputer Center

Ilkay Altintas is the chief data science officer at the San Diego Supercomputer Center (SDSC), UC San Diego, where she is also the founder and director for the Workflows for Data Science Center of Ex...

Leo Porter

Assistant Teaching Professor, Computer Science and Engineering

Leo Porter is an Assistant Teaching Professor at the Department of Computer Science and Engineering at the University of California, San Diego. He received his Ph.D. in Computer Science, specifically computer architecture, from UC San Diego in 2011.

Alon Orlitsky

Professor, Electrical and Computer Engineering

Alon Orlitsky is a Professor at UCSD's ECE Department. He received his B.Sc. in Math and Electrical Engineering from Ben Gurion University, and his M.Sc. and Ph.D. in Electrical Engineering from Stanford University.