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!
提供方
大数据 专项课程加州大学圣地亚哥分校课程信息
834,848 次近期查看
学生职业成果
45%
完成这些课程后已开始新的职业生涯
39%
通过此课程获得实实在在的工作福利
11%
加薪或升职
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 1 门课程（共 6 门）
可灵活调整截止日期
根据您的日程表重置截止日期。
完成时间大约为17 小时
英语（English）
字幕：阿拉伯语（Arabic）, 韩语, 英语（English）, 印地语, 波斯语
您将获得的技能
Big DataApache HadoopMapreduceCloudera
学生职业成果
45%
完成这些课程后已开始新的职业生涯
39%
通过此课程获得实实在在的工作福利
11%
加薪或升职
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 1 门课程（共 6 门）
可灵活调整截止日期
根据您的日程表重置截止日期。
完成时间大约为17 小时
英语（English）
字幕：阿拉伯语（Arabic）, 韩语, 英语（English）, 印地语, 波斯语
提供方
加州大学圣地亚哥分校
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
教学大纲 - 您将从这门课程中学到什么
完成时间为 20 分钟
Welcome
Welcome to the Big Data Specialization! We're excited for you to get to know us and we're looking forward to learning about you!
完成时间为 20 分钟
2 个视频 （总计 3 分钟）, 2 个阅读材料
2 个视频
Tell us about yourself and learn about your classmates20
2 个阅读材料
By the end of this course you will be able to...2分钟
Optional: Watch this fun video about the San Diego Supercomputer Center!10分钟
完成时间为 4 小时
Big Data: Why and Where
Data -- it's been around (even digitally) for a while. What makes data "big" and where does this big data come from?
完成时间为 4 小时
13 个视频 （总计 77 分钟）, 13 个阅读材料, 1 个测验
13 个视频
Applications: What makes big data valuable11分钟
Example: Saving lives with Big Data6分钟
Example: Using Big Data to Help Patients10分钟
A Sentiment Analysis Success Story: Meltwater helping Danone1分钟
Getting Started: Where Does Big Data Come From?2分钟
Machine-Generated Data: It's Everywhere and There's a Lot!3分钟
Machine-Generated Data: Advantages4分钟
Big Data Generated By People: The Unstructured Challenge5分钟
Big Data Generated By People: How Is It Being Used?10分钟
Organization-Generated Data: Structured but often siloed7分钟
Organization-Generated Data: Benefits Come From Combining With Other Data Types4分钟
The Key: Integrating Diverse Data5分钟
13 个阅读材料
Did you know?: 25 facts about big data10分钟
Slides: What Launched the Big Data Era?10分钟
Slides: Applications: What Makes Big Data Valuable?10分钟
Slides: Saving Lives With Big Data10分钟
Slides: Using Big Data to Help Patients10分钟
Extra Resources10分钟
Slides: Machine-Generated Data: It's Everywhere and There's a Lot!10分钟
Slides: Machine-Generated Data: Advantages10分钟
Slides: Big Data Generated By People: The Unstructured Challenge10分钟
Slides: Big Data Generated By People: How is it Being Used?10分钟
Slides: Organization-Generated Big Data: Structured But Often Siloed10分钟
Slides: Organizaton-Generated Big Data: Benefits10分钟
Slides: The Key - Integrating Diverse Data10分钟
1 个练习
Why Big Data and Where Did it Come From?38分钟
完成时间为 2 小时
Characteristics of Big Data and Dimensions of Scalability
You may have heard of the "Big Vs". We'll give examples and descriptions of the commonly discussed 5. But, we want to propose a 6th V and we'll ask you to practice writing Big Data questions targeting this V -- value.
完成时间为 2 小时
7 个视频 （总计 34 分钟）, 9 个阅读材料, 1 个测验
7 个视频
Characteristics of Big Data - Volume5分钟
Characteristics of Big Data - Variety5分钟
Characteristics of Big Data - Velocity6分钟
Characteristics of Big Data - Veracity6分钟
Characteristics of Big Data - Valence2分钟
The Sixth V: Value4分钟
9 个阅读材料
What does astronomical scale mean?10分钟
A Small Definition of Big Data10分钟
Slides: Getting Started - Characteristics of Big Data10分钟
Slides: Characteristics of Big Data - Volume10分钟
Slides: Characteristics of Big Data - Variety10分钟
Slides: Characteristics of Big Data - Velocity10分钟
Slides: Characteristics of Big Data - Veracity10分钟
Slides: Characteristics of Big Data - Value10分钟
Slides: Characteristics of Big Data - Valence10分钟
1 个练习
V for the V's of Big Data14分钟
完成时间为 4 小时
Data Science: Getting Value out of Big Data
We love science and we love computing, don't get us wrong. But the reality is we care about Big Data because it can bring value to our companies, our lives, and the world. In this module we'll introduce a 5 step process for approaching data science problems.
完成时间为 4 小时
11 个视频 （总计 66 分钟）, 12 个阅读材料, 1 个测验
11 个视频
Building a Big Data Strategy9分钟
How does big data science happen?: Five Components of Data Science9分钟
Asking the Right Questions3分钟
Steps in the Data Science Process3分钟
Step 1: Acquiring Data6分钟
Step 2-A: Exploring Data4分钟
Step 2-B: Pre-Processing Data8分钟
Step 3: Analyzing Data8分钟
Step 4: Communicating Results4分钟
Step 5: Turning Insights into Action2分钟
12 个阅读材料
Five P's of Data Science10分钟
Slides: Getting Value Out of Big Data10分钟
Slides: Building a Big Data Strategy10分钟
Slides: The Five P's of Data Science10分钟
Slides: Asking the Right Questions10分钟
Slides: Steps in the Data Science Process10分钟
Slides: Step 1 - Acquiring Data10分钟
Slides: Step 2A-Exploring Data10分钟
Slides: Step 2B-Preprocessing Data10分钟
Slides: Step 3-Data Analysis10分钟
Slides: Step 4-Communicating Results10分钟
Slides: Step 5-Turning Insights Into Action10分钟
1 个练习
Data Science 10120分钟
完成时间为 1 小时
Foundations for Big Data Systems and Programming
Big Data requires new programming frameworks and systems. For this course, we don't programming knowledge or experience -- but we do want to give you a grounding in some of the key concepts.
完成时间为 1 小时
4 个视频 （总计 19 分钟）, 4 个阅读材料, 1 个测验
4 个视频
What is a Distributed File System?6分钟
Scalable Computing over the Internet4分钟
Programming Models for Big Data6分钟
4 个阅读材料
Slides: Getting Started-Why Worry About Foundations?10分钟
Slides: What is a Distributed File System?10分钟
Slides: Scalable Computing Over the Internet10分钟
Slides: Programming Models for Big Data10分钟
1 个练习
Foundations for Big Data20分钟
完成时间为 5 小时
Systems: Getting Started with Hadoop
Let's look at some details of Hadoop and MapReduce. Then we'll go "hands on" and actually perform a simple MapReduce task in the Cloudera VM. Pay attention - as we'll guide you in "learning by doing" in diagramming a MapReduce task as a Peer Review.
完成时间为 5 小时
11 个视频 （总计 66 分钟）, 8 个阅读材料, 3 个测验
11 个视频
The Hadoop Ecosystem: Welcome to the zoo!7分钟
The Hadoop Distributed File System: A Storage System for Big Data7分钟
YARN: A Resource Manager for Hadoop5分钟
MapReduce: Simple Programming for Big Results12分钟
When to Reconsider Hadoop?4分钟
Cloud Computing: An Important Big Data Enabler6分钟
Cloud Service Models: An Exploration of Choices4分钟
Value From Hadoop and Pre-built Hadoop Images3分钟
Copy your data into the Hadoop Distributed File System (HDFS)4分钟
Run the WordCount program5分钟
8 个阅读材料
MapReduce in the Pasta Sauce Example10分钟
Slides for Getting Started With Hadoop10分钟
Downloading and Installing the Cloudera VM Instructions (Mac)10分钟
Downloading and Installing the Cloudera VM Instructions (Windows)10分钟
FAQ10分钟
Copy your data into the Hadoop Distributed File System (HDFS) Instructions10分钟
Run the WordCount program Instructions10分钟
How do I figure out how to run Hadoop MapReduce programs?10分钟
2 个练习
Intro to Hadoop26分钟
Running Hadoop MapReduce Programs Quiz4分钟
审阅
来自大数据导论的热门评论
由 HM 提供Sep 8, 2019
I love the course. It goes deep into the foundations, and then finishes up with an actual lab where you learn by practice. I greatly benefited from it and feel I have achieved a milestone in big data.
由 PB 提供May 24, 2018
A step by step approach stating from basic big data concept extending to Hadoop framework and hands on mapping and simple MapReduce application development effort. Very smooth learning experience.
由 RG 提供Jul 13, 2017
First of all i would like to take this opportunity to thanks the instructors the course is well structured and explained the foundations with real world problems with easy to understand the concepts.
由 SS 提供Apr 26, 2019
Great Content with very precise approach to teaching . One could easily;y relate these complex terms to everyday lives and see clear use cases for big data . Good course to begin a big data journey!
关于 大数据 专项课程
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.
常见问题
我什么时候能够访问课程视频和作业？
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
- The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
- The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
我订阅此专项课程后会得到什么？
您注册课程后，将有权访问专项课程中的所有课程，并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中，您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容，可以免费旁听课程。
退款政策是如何规定的？
如果订阅，您可以获得 7 天免费试听，在此期间，您可以取消课程，无需支付任何罚金。在此之后，我们不会退款，但您可以随时取消订阅。请阅读我们完整的退款政策。
有助学金吗？
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完成课程后，我会获得大学学分吗？
此课程不提供大学学分，但部分大学可能会选择接受课程证书作为学分。查看您的合作院校，了解详情。Coursera 上的在线学位和 Mastertrack™ 证书提供获得大学学分的机会。
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