Big Data Specialization

开始时间: 05/18/2022 持续时间: Approximately 8 months to complete Suggested pace of 3 hours/week

所在平台: Coursera专项课程

课程类别: 计算机科学

大学或机构: CourseraNew




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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. ********* 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.

大数据专业化:概述大数据的组织,分析和解释方式,以制定更好的业务决策。将您的见解应用于现实世界中的问题和问题。 ********* 您是否需要了解大数据以及它将如何影响您的业务?本专业适合您。您将通过对大数据科学家和工程师使用的工具和系统的动手经验,了解大数据可以提供哪些见解。不需要以前的编程经验!将指导您将Hadoop与MapReduce,Spark,Pig和Hive结合使用。通过遵循提供的代码,您将体验如何执行预测建模并利用图分析来对问题进行建模。该专业知识将为您准备提出有关数据的正确问题,与数据科学家进行有效沟通以及对大型复杂数据集进行基础探索的准备。在与数据软件公司Splunk合作开发的最终Capstone项目中,您将运用所学的技能对大数据进行基本分析。


Course: 1

Course Link:

Title:Introduction to Big Data

Description: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 is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is for those who want to start thinking about how Big Data might be useful in their business or career. 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!

Course: 2

Course Link:

Title:Big Data Modeling and Management Systems

Description: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. You will be able to describe the reasons behind the evolving plethora of new big data platforms from the perspective of big data management systems and analytical tools. Through guided hands-on tutorials, you will become familiar with techniques using real-time and semi-structured data examples. Systems and tools discussed include: AsterixDB, HP Vertica, Impala, Neo4j, Redis, SparkSQL. This course provides techniques to extract value from existing untapped data sources and discovering new data sources.

Course: 3

Course Link:

Title:Big Data Integration and Processing

Description:At the end of the course, you will be able to:

Course: 4

Course Link:

Title:Machine Learning With Big Data

Description: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.



加州大学圣地亚哥分校的大数据专项课程系列(Big Data Specialization), 这个系列包括5门子课程和1门毕业项目课程,依次是大数据导引,大数据建模和管理系统,大数据集成与处理,大数据机器学习 ,大数据图分析 ,大数据毕业项目,感兴趣的同学可以关注: Unlock Value in Massive Datasets-Learn fundamental big data methods in six straightforward courses.


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