Category: Big Data Beginner

This course teaches the principles and practices of big data for improving the reliability and the security of computing systems. Big data is a technology that is changing the way we do business and the way we play. As there is a tremendous growth in data being collected about every process and product in operation,…

This program integrates a variety of topics to allow students to learn the fundamental facets of big data and how it is used in the real world. Topics include mathematical foundations (convex/non-convex optimization and computational methods), data analytics (from data collection, integration, cleansing, mining, machine learning, to business intelligence), and data processing infrastructures (MapReduce, Hadoop,…

you will get an opportunity to apply the knowledge and skills that you have gained throughout this MicroMasters program. You can choose to complete any one project from a number of choices, covering topics ranging from data integration, data mining, Spark programming, to data analysis. After finishing the project, you will need to submit a…

In this course, students will understand characteristics of language through big data. Students will learn how to collect and analyze big data, and find linguistic features from the data. A number of approaches to the linguistic analysis of written and spoken texts will be discussed. https://www.classcentral.com/course/big-data-language-2-19190

Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we’ll…

Data mining techniques provide the first level of abstraction to raw data by extracting patterns, making big data analytics tools increasingly critical for providing meaningful information to inform better business decisions, and applying statistical learning theory to find a predictive function based on data. You’ll learn to apply mathematical theory and decision making techniques that…

In this course, students will understand characteristics of language through big data. Students will learn how to collect and analyze big data, and find linguistic features from the data. A number of approaches to the linguistic analysis of written and spoken texts will be discussed. The class will consist of lecture videos which are approximately…

This course distills for you expert knowledge and skills mastered by professionals in Health Big Data Science and Bioinformatics. You will learn exciting facts about the human body biology and chemistry, genetics, and medicine that will be intertwined with the science of Big Data and skills to harness the avalanche of data openly available at…

The analysis of big datasets requires using a cluster of tens, hundreds or thousands of computers. Effectively using such clusters requires the use of distributed files systems, such as the Hadoop Distributed File System (HDFS) and corresponding computational models, such as Hadoop, MapReduce and Spark. In this course, part of the Data Science MicroMasters program,…

In this course, you will learn how and when to use key methods for educational data mining and learning analytics on this data. You will examine the methods being developed by researchers in the educational data mining, learning analytics, learning-at-scale, student modeling, and artificial intelligence communities. You’ll also gain experience with standard data mining methods…