Coursera
Paid Course
English
Certificate Available
35 weeks long, 3 hours a week
Overview
Class Central Tips
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.*********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.
At the end of the course, you will be able to:
*Retrieve data from example database and big data management systems
*Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications
*Identify when a big data problem needs data integration
*Execute simple big data integration and processing on Hadoop and Spark platforms
This course is for those new to data science.Completion of Intro to Big Data is recommended.No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments.Refer to the specialization technical requirements for complete hardware and software specifications.
Hardware Requirements:
(A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size.
Software Requirements:
This course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge (except for data charges from your internet provider). Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+.
*Retrieve data from example database and big data management systems
*Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications
*Identify when a big data problem needs data integration
*Execute simple big data integration and processing on Hadoop and Spark platforms
This course is for those new to data science.Completion of Intro to Big Data is recommended.No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments.Refer to the specialization technical requirements for complete hardware and software specifications.
Hardware Requirements:
(A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size.
Software Requirements:
This course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge (except for data charges from your internet provider). Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+.
Syllabus
Course 1: Introduction to Big Data
- Offered by University of California San Diego. Interested in increasing your knowledge of the Big Data landscape? This course is for those ... Enroll for free.
Course 2: Big Data Modeling and Management Systems
- Offered by University of California San Diego. Once you’ve identified a big data issue to analyze, how do you collect, store and organize ... Enroll for free.
Course 3: Big Data Integration and Processing
- Offered by University of California San Diego. At the end of the course, you will be able to: *Retrieve data from example database and big ... Enroll for free.
Course 4: Machine Learning With Big Data
- Offered by University of California San Diego. Want to make sense of the volumes of data you have collected? Need to incorporate ... Enroll for free.
Course 5: Graph Analytics for Big Data
- Offered by University of California San Diego. Want to understand your data network structure and how it changes under different conditions? ... Enroll for free.
Course 6: Big Data - Capstone Project
- Offered by University of California San Diego. Welcome to the Capstone Project for Big Data! In this culminating project, you will build a ... Enroll for free.
- Offered by University of California San Diego. Interested in increasing your knowledge of the Big Data landscape? This course is for those ... Enroll for free.
Course 2: Big Data Modeling and Management Systems
- Offered by University of California San Diego. Once you’ve identified a big data issue to analyze, how do you collect, store and organize ... Enroll for free.
Course 3: Big Data Integration and Processing
- Offered by University of California San Diego. At the end of the course, you will be able to: *Retrieve data from example database and big ... Enroll for free.
Course 4: Machine Learning With Big Data
- Offered by University of California San Diego. Want to make sense of the volumes of data you have collected? Need to incorporate ... Enroll for free.
Course 5: Graph Analytics for Big Data
- Offered by University of California San Diego. Want to understand your data network structure and how it changes under different conditions? ... Enroll for free.
Course 6: Big Data - Capstone Project
- Offered by University of California San Diego. Welcome to the Capstone Project for Big Data! In this culminating project, you will build a ... Enroll for free.
Taught by
Amarnath Gupta, Ilkay Altintas and Mai Nguyen
