Big Data MasterTrack® Certificate

Arizona State University

via

Coursera

Course Features

Duration

9 months

Delivery Method

Online

Available on

Limited Access

Accessibility

Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Effort

20 hours per week

Teaching Type

Self Paced

Course Description

Governments, companies and individuals have greater access to data than ever before, with zettabytes of data collected each year. It can be difficult to find the right places to look for key insights and trends that will drive business decisions with so much data. Data mining is the first layer of abstraction from raw data. It extracts patterns and helps to make business decisions. You'll also learn how to use mathematical theory and decision-making techniques to analyze big data, clustering, classification, clustering and association rule mining. This course was designed by Arizona State University faculty. You can earn the Big Data MasterTrack Certificate by completing online studies for 6-9 month. This certificate will allow you to access the online Master of Computer Science degree from Arizona State University.

Course Overview

International Faculty

Post Course Interactions

Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Apply common data mining algorithms to discover relationships and patterns in large datasets

Combine exploratory queries, graphics, and interaction to develop functional tools for exploratory data analysis and data visualization

Demonstrate handling of computation intensive queries in big data

Course Content

Expand all sections

Module 1: Data Processing at Scale

Module 2: Data Mining

Module 3: Statistical Machine Learning

Module 4: Data Visualization

Course Instructors

Mohamed Sarwat

Assistant Professor of Computer Science; Director of the Data Systems (DataSys) Lab

Mohamed Sarwat is the instructor for this course

Ross Maciejewski, Ph.D.

Associate Professor at the School of Computing, Informatics & Decision Systems Engineering; Director of the Center for Accelerating Operational Efficiency, a Department of Homeland Security Center of Excellence

Ross Maciejewski, Ph.D. is the instructor for this course

Ayan Banerjee, Ph.D.

Assistant Research Professor at the School of Computing Informatics and Decision Systems Engineering

Ayan Banerjee, Ph.D. is the instructor for this course