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Katrina Falkner, ​Claudia Szabo, Dr. Nick Falkner, Amarnath Gupta, Ilkay Altintas, Mai Nguyen, Dr. ​Claudia Szabo, Dr. Katrina Falkner, and Nick Falkner

Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.

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Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.

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Do you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.

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What's inside

Six courses

Introduction to Big Data

(0 hours)
Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world!

Big Data Modeling and Management Systems

(0 hours)
Once you’ve identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions? In this course, you will experience various data genres and management tools appropriate for each.

Big Data Integration and Processing

At the end of the course, you will be able to: * Retrieve data from databases and big data management systems * Describe connections between data management operations and big data processing patterns * Identify when a big data problem needs integration * Execute simple big data integration and processing on Hadoop and Spark platforms

Machine Learning With Big Data

(0 hours)
Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems.

Graph Analytics for Big Data

(0 hours)
Want to understand your data network structure and how it changes under different conditions? This course gives you a broad overview of graph analytics so you can learn new ways to model, store, retrieve and analyze graph-structured data.

Big Data - Capstone Project

Welcome to the Capstone Project for Big Data! In this culminating project, you will build a big data ecosystem using tools and methods from earlier courses in this specialization. You will analyze a data set simulating big data generated from a large number of users playing our imaginary game "Catch the Pink Flamingo". During the five-week Capstone Project, you will walk through the typical big data science steps for acquiring, exploring, preparing, analyzing, and reporting.

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