À propos de ce cours
4.5
4,305 notes
1,106 avis
Spécialisation

Cours 1 sur 6 dans la

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100% online

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Heures pour terminer

Approx. 16 heures pour terminer

Recommandé : 3 weeks of study, 5-6 hours/week...
Langues disponibles

Anglais

Sous-titres : Anglais, Coréen, Hindi, Persan...

Compétences que vous acquerrez

Big DataApache HadoopMapreduceCloudera
Spécialisation

Cours 1 sur 6 dans la

100% online

100% online

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Heures pour terminer

Approx. 16 heures pour terminer

Recommandé : 3 weeks of study, 5-6 hours/week...
Langues disponibles

Anglais

Sous-titres : Anglais, Coréen, Hindi, Persan...

Programme du cours : ce que vous apprendrez dans ce cours

Semaine
1
Heures pour terminer
20 minutes pour terminer

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! ...
Reading
2 vidéos (Total 3 min), 2 lectures
Video2 vidéos
Tell us about yourself and learn about your classmates min
Reading2 lectures
By the end of this course you will be able to...2 min
Optional: Watch this fun video about the San Diego Supercomputer Center!10 min
Heures pour terminer
4 heures pour terminer

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?...
Reading
13 vidéos (Total 77 min), 13 lectures, 1 quiz
Video13 vidéos
Applications: What makes big data valuable11 min
Example: Saving lives with Big Data6 min
Example: Using Big Data to Help Patients10 min
A Sentiment Analysis Success Story: Meltwater helping Danone1 min
Getting Started: Where Does Big Data Come From?2 min
Machine-Generated Data: It's Everywhere and There's a Lot!3 min
Machine-Generated Data: Advantages4 min
Big Data Generated By People: The Unstructured Challenge5 min
Big Data Generated By People: How Is It Being Used?10 min
Organization-Generated Data: Structured but often siloed7 min
Organization-Generated Data: Benefits Come From Combining With Other Data Types4 min
The Key: Integrating Diverse Data5 min
Reading13 lectures
Did you know?: 25 facts about big data10 min
Slides: What Launched the Big Data Era?10 min
Slides: Applications: What Makes Big Data Valuable?10 min
Slides: Saving Lives With Big Data10 min
Slides: Using Big Data to Help Patients10 min
Extra Resources10 min
Slides: Machine-Generated Data: It's Everywhere and There's a Lot!10 min
Slides: Machine-Generated Data: Advantages10 min
Slides: Big Data Generated By People: The Unstructured Challenge10 min
Slides: Big Data Generated By People: How is it Being Used?10 min
Slides: Organization-Generated Big Data: Structured But Often Siloed10 min
Slides: Organizaton-Generated Big Data: Benefits10 min
Slides: The Key - Integrating Diverse Data10 min
Quiz1 exercice pour s'entraîner
Why Big Data and Where Did it Come From?38 min
Semaine
2
Heures pour terminer
2 heures pour terminer

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....
Reading
7 vidéos (Total 34 min), 9 lectures, 1 quiz
Video7 vidéos
Characteristics of Big Data - Volume5 min
Characteristics of Big Data - Variety5 min
Characteristics of Big Data - Velocity6 min
Characteristics of Big Data - Veracity6 min
Characteristics of Big Data - Valence2 min
The Sixth V: Value4 min
Reading9 lectures
What does astronomical scale mean?10 min
A Small Definition of Big Data10 min
Slides: Getting Started - Characteristics of Big Data10 min
Slides: Characteristics of Big Data - Volume10 min
Slides: Characteristics of Big Data - Variety10 min
Slides: Characteristics of Big Data - Velocity10 min
Slides: Characteristics of Big Data - Veracity10 min
Slides: Characteristics of Big Data - Value10 min
Slides: Characteristics of Big Data - Valence10 min
Quiz1 exercice pour s'entraîner
V for the V's of Big Data14 min
Heures pour terminer
4 heures pour terminer

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....
Reading
11 vidéos (Total 66 min), 12 lectures, 1 quiz
Video11 vidéos
Building a Big Data Strategy9 min
How does big data science happen?: Five Components of Data Science9 min
Asking the Right Questions3 min
Steps in the Data Science Process3 min
Step 1: Acquiring Data6 min
Step 2-A: Exploring Data4 min
Step 2-B: Pre-Processing Data8 min
Step 3: Analyzing Data8 min
Step 4: Communicating Results4 min
Step 5: Turning Insights into Action2 min
Reading12 lectures
Five P's of Data Science10 min
Slides: Getting Value Out of Big Data10 min
Slides: Building a Big Data Strategy10 min
Slides: The Five P's of Data Science10 min
Slides: Asking the Right Questions10 min
Slides: Steps in the Data Science Process10 min
Slides: Step 1 - Acquiring Data10 min
Slides: Step 2A-Exploring Data10 min
Slides: Step 2B-Preprocessing Data10 min
Slides: Step 3-Data Analysis10 min
Slides: Step 4-Communicating Results10 min
Slides: Step 5-Turning Insights Into Action10 min
Quiz1 exercice pour s'entraîner
Data Science 10120 min
Semaine
3
Heures pour terminer
1 heure pour terminer

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....
Reading
4 vidéos (Total 19 min), 4 lectures, 1 quiz
Video4 vidéos
What is a Distributed File System?6 min
Scalable Computing over the Internet4 min
Programming Models for Big Data6 min
Reading4 lectures
Slides: Getting Started-Why Worry About Foundations?10 min
Slides: What is a Distributed File System?10 min
Slides: Scalable Computing Over the Internet10 min
Slides: Programming Models for Big Data10 min
Quiz1 exercice pour s'entraîner
Foundations for Big Data20 min
Heures pour terminer
5 heures pour terminer

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....
Reading
11 vidéos (Total 66 min), 8 lectures, 3 quiz
Video11 vidéos
The Hadoop Ecosystem: Welcome to the zoo!7 min
The Hadoop Distributed File System: A Storage System for Big Data7 min
YARN: A Resource Manager for Hadoop5 min
MapReduce: Simple Programming for Big Results12 min
When to Reconsider Hadoop?4 min
Cloud Computing: An Important Big Data Enabler6 min
Cloud Service Models: An Exploration of Choices4 min
Value From Hadoop and Pre-built Hadoop Images3 min
Copy your data into the Hadoop Distributed File System (HDFS)4 min
Run the WordCount program5 min
Reading8 lectures
MapReduce in the Pasta Sauce Example10 min
Slides for Getting Started With Hadoop10 min
Downloading and Installing the Cloudera VM Instructions (Mac)10 min
Downloading and Installing the Cloudera VM Instructions (Windows)10 min
FAQ10 min
Copy your data into the Hadoop Distributed File System (HDFS) Instructions10 min
Run the WordCount program Instructions10 min
How do I figure out how to run Hadoop MapReduce programs?10 min
Quiz2 exercices pour s'entraîner
Intro to Hadoop26 min
Running Hadoop MapReduce Programs Quiz4 min
4.5
Orientation de carrière

47%

a commencé une nouvelle carrière après avoir terminé ces cours
Avantage de carrière

83%

a bénéficié d'un avantage concret dans sa carrière grâce à ce cours
Promotion de carrière

11%

a obtenu une augmentation de salaire ou une promotion

Meilleurs avis

par PBMay 25th 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.\n\nVery smooth learning experience.

par RGJul 14th 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.

Enseignants

Avatar

Ilkay Altintas

Chief Data Science Officer
San Diego Supercomputer Center
Avatar

Amarnath Gupta

Director, Advanced Query Processing Lab
San Diego Supercomputer Center (SDSC)

À propos de University of California San Diego

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....

À propos de la Spécialisation Big Data

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....
Big Data

Foire Aux Questions

  • Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.

  • Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours de la Spécialisation, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.

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