Coursera
온라인 학위경력 찾기기업용 Coursera대학교용
  • 검색
  • 상위 강좌
  • 로그인
  • 무료 회원 가입
    Coursera
    • 검색
    • Big Data

    필터링 기준

    "big data"에 대한 495개의 결과

    • University of California San Diego

      University of California San Diego

      Big Data

      획득할 기술: Algorithms, Apache, Big Data, Business Analysis, Cloud Computing, Computer Architecture, Computer Programming, Data Analysis, Data Architecture, Data Management, Data Model, Data Warehousing, Database Administration, Databases, Distributed Computing Architecture, Exploratory Data Analysis, Graph Theory, Graphs, Machine Learning, Machine Learning Algorithms, Mathematics, Modeling, NoSQL, PostgreSQL, Probability & Statistics, Python Programming, Statistical Programming, Theoretical Computer Science

      4.5

      (13.2k개의 검토)

      Beginner · Specialization

    • IBM

      IBM

      IBM Data Engineering

      획득할 기술: Apache, Big Data, Cloud Computing, Cloud Engineering, Computational Logic, Computational Thinking, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Data Architecture, Data Management, Data Warehousing, Database Administration, Database Application, Database Design, Database Theory, Databases, DevOps, Distributed Computing Architecture, Extract, Transform, Load, Hardware Design, IBM Cloud, Kubernetes, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Microarchitecture, Mysql, Network Architecture, Network Security, NoSQL, PostgreSQL, Probability & Statistics, Programming Principles, Project Management, Python Programming, Regression, SQL, Security Engineering, Security Strategy, Software Architecture, Software Engineering, Statistical Programming, Strategy and Operations, Theoretical Computer Science

      4.6

      (34.7k개의 검토)

      Beginner · Professional Certificate

    • Google

      Google

      Google Data Analytics

      획득할 기술: Algorithms, Analysis, Application Development, Big Data, Budget Management, Business Analysis, Business Communication, Change Management, Cloud Computing, Communication, Computational Logic, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Model, Data Structures, Data Visualization, Data Visualization Software, Database Administration, Database Design, Databases, Decision Making, Design and Product, Econometrics, Entrepreneurship, Experiment, Extract, Transform, Load, Feature Engineering, Finance, General Statistics, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Plot (Graphics), Presentation, Probability & Statistics, Problem Solving, Product Design, Programming Principles, Project Management, R Programming, Research and Design, SQL, Security Engineering, Security Strategy, Small Data, Software, Software Engineering, Software Security, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, Storytelling, Strategy and Operations, Theoretical Computer Science

      4.8

      (63k개의 검토)

      Beginner · Professional Certificate

    • Cloudera

      Cloudera

      Modern Big Data Analysis with SQL

      획득할 기술: Apache, Big Data, Cloud Computing, Cloud Platforms, Cloud Storage, Computer Architecture, Computer Programming, Data Management, Data Model, Data Structures, Database Application, Database Design, Databases, Distributed Computing Architecture, Human Computer Interaction, Programming Principles, SQL, Software Engineering, Statistical Programming, Theoretical Computer Science, User Experience

      4.7

      (1.3k개의 검토)

      Beginner · Specialization

    • IBM

      IBM

      NoSQL, Big Data, and Spark Foundations

      획득할 기술: Apache, Big Data, Cloud Computing, Computational Thinking, Computer Architecture, Computer Networking, Computer Programming, Data Management, Database Administration, Database Application, Database Theory, Databases, Distributed Computing Architecture, IBM Cloud, Kubernetes, Machine Learning, Machine Learning Algorithms, Network Architecture, NoSQL, Probability & Statistics, Python Programming, Regression, SQL, Statistical Programming, Theoretical Computer Science

      4.2

      (186개의 검토)

      Beginner · Specialization

    • Universitat Autònoma de Barcelona

      Universitat Autònoma de Barcelona

      Big Data – Introducción al uso práctico de datos masivos

      획득할 기술: Advertising, Algorithms, Analytics, Apache, Apache Hadoop, Artificial Neural Networks, Basic Descriptive Statistics, Big Data, Business Analysis, Business Intelligence, Business Psychology, Communication, Computer Architecture, Data Analysis, Data Analysis Software, Data Management, Data Model, Data Structures, Data Visualization, Data Visualization Software, Databases, Dimensionality Reduction, Distributed Computing Architecture, Financial Analysis, General Statistics, Human Resources, Machine Learning, Machine Learning Algorithms, Marketing, Probability & Statistics, Regression, Research and Design, SQL, Scientific Visualization, Software Architecture, Software Engineering, Statistical Machine Learning, Statistical Programming, Theoretical Computer Science, Training, Visual Design, Visualization (Computer Graphics)

      4.6

      (2.6k개의 검토)

      Beginner · Specialization

    • Placeholder
      IBM

      IBM

      IBM Data Analyst

      획득할 기술: Algebra, Analysis, Apache, Big Data, Business Analysis, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Structures, Data Visualization, Data Visualization Software, Data Warehousing, Database Administration, Database Application, Databases, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Machine Learning, Mathematical Theory & Analysis, Mathematics, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Probability & Statistics, Python Programming, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science, Web

      4.6

      (50.3k개의 검토)

      Beginner · Professional Certificate

    • Placeholder
      Google Cloud

      Google Cloud

      Data Engineering, Big Data, and Machine Learning on GCP

      획득할 기술: Apache, Applied Machine Learning, Big Data, Bigquery, Cloud Computing, Cloud Storage, Computer Architecture, Computer Programming, Data Management, Databases, Dataflow, Deep Learning, Distributed Computing Architecture, Feature Engineering, Full-Stack Web Development, Google Cloud Platform, Hardware Design, Machine Learning, Python Programming, Statistical Programming, Streams, Web Development

      4.6

      (16.5k개의 검토)

      Intermediate · Specialization

    • Placeholder
      University of California San Diego

      University of California San Diego

      Introduction to Big Data

      획득할 기술: Data Analysis, Apache, Cloud Computing, Distributed Computing Architecture, Computer Architecture, Data Management, Big Data

      4.6

      (10.5k개의 검토)

      Mixed · Course

    • Placeholder
      IBM

      IBM

      Introduction to Big Data with Spark and Hadoop

      획득할 기술: Database Application, IBM Cloud, Python Programming, Computer Programming, Cloud Computing, Distributed Computing Architecture, Database Administration, Databases, Big Data, Data Management, Apache, Kubernetes, Computer Architecture, Statistical Programming

      4.2

      (96개의 검토)

      Beginner · Course

    • Placeholder
      University of Colorado Boulder

      University of Colorado Boulder

      Fundamentals of Software Architecture for Big Data

      획득할 기술: Graph Theory, Theoretical Computer Science, Leadership and Management, Mathematics

      Advanced · Course

    • Placeholder
      University of Pennsylvania

      University of Pennsylvania

      Omnichannel Retail Strategy

      획득할 기술: Accounting, Analytics, Big Data, Brand Management, Business Analysis, Chaining, Data Analysis, Data Management, Entrepreneurship, FinTech, Finance, Financial Analysis, Human Resources, Leadership and Management, Marketing, Performance, Sales, Strategy, Strategy and Operations, Supply Chain Systems, Supply Chain and Logistics

      4.8

      (144개의 검토)

      Beginner · Specialization

    big data과(와) 관련된 검색

    big data analytics
    big data analysis with scala and spark
    big data modeling and management systems
    big data, genes, and medicine
    big data integration and processing
    big data: el impacto de los datos masivos en la sociedad actual
    big data analysis with scala and spark (scala 2 version)
    big data and language 1
    1234…42

    요약하자면, 여기에 가장 인기 있는 big data 강좌 10개가 있습니다.

    • Big Data: University of California San Diego
    • IBM Data Engineering: IBM
    • Google Data Analytics: Google
    • Modern Big Data Analysis with SQL: Cloudera
    • NoSQL, Big Data, and Spark Foundations: IBM
    • Big Data – Introducción al uso práctico de datos masivos: Universitat Autònoma de Barcelona
    • IBM Data Analyst: IBM
    • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
    • Introduction to Big Data: University of California San Diego
    • Introduction to Big Data with Spark and Hadoop: IBM

    Machine Learning에서 학습할 수 있는 스킬

    Python 프로그래밍 (33)
    TensorFlow (32)
    심층 학습 (30)
    인공 신경 회로망 (24)
    통계 분류 (17)
    강화 학습 (13)
    대수학 (10)
    베이지안 (10)
    선형 대수 (10)
    선형 회귀 (9)
    Numpy (9)

    빅 데이터에 대한 자주 묻는 질문

    • “Big data” is a term widely used to describe our data-rich world, in which virtually every activity generates a digital data footprint that can be collected and analyzed. While data and data analysis are not necessarily new, the effective use of the extremely large - and rapidly-growing - datasets of today require new approaches to data management.

      In order to harness big data for important applications like machine learning and artificial intelligence, you need more than an Excel spreadsheet or a traditional relational database and SQL. Instead, an entire data infrastructure is necessary to collect and process this data at scale, including data pipelines, data lakes, and data warehouses.

      To make this possible, data engineers rely on new approaches to data processing such as MapReduce, developed by Google, the open-source Apache Hadoop ecosystem including Apache Spark and Apache Hive, and, increasingly, cloud computing and cloud database platforms like Cloudera.‎

    • With companies in practically every industry eager to discover ways to harness the power of big data in their operations, having a background in this area can open doors to a wide range of careers. Operations managers at manufacturing or logistics companies may harness data to improve their demand forecasting, inventory planning, and process efficiency; digital marketers use marketing analytics to better understand their customers and the effectiveness of their messaging; and “quants” at hedge funds rely on data-based financial engineering approaches to move millions of dollars in milliseconds.

      Understanding how big data applications are built and what they are capable of can thus be incredibly valuable even if you aren’t a data engineer or data scientist yourself. However, if you have the expertise and desire to work directly with big data yourself, data engineers are responsible for building the data infrastructure capable of reliably and efficiently delivering big data at scale, and data scientists are responsible for using a wide range of analytic and programming approaches to uncover insights from it.

      These two roles are in extremely high demand, and command salaries to match. According to Glassdoor, data engineers earn an average annual salary of $102,864, and data scientists earn an average annual salary of $113,309.‎

    • Yes - in fact, Coursera is one of the best places to learn about big data. You can take individual courses and Specializations spanning multiple courses on big data, data science, and related topics from top-ranked universities from all over the world, from the University California San Diego to Universitat Autònoma de Barcelona. Coursera also offers the opportunity to learn from industry leaders in the field like Google Cloud, Cloudera, and IBM, including options to get professional certificates.‎

    • The skills and experience that you might need to already have before starting to learn big data may include software programming knowledge as well as top skills in math, algebra, data science, and related areas. The types of programming languages that are common in big data environments include Python, SQL, Java, C, and overall data structure and algorithm insights. Working with structured and unstructured data may likely require knowledge and background in discrete mathematics, statistics, and linear algebra. Of course, learning about big data roles would also require you to bring good soft skills like listening, focus, communication, and flexibility to the table. Finally, what would also play a part before starting to learn big data might include a good education in data science or mathematics.‎

    • The kind of people best suited for work that involves big data are those who are keenly interested in data sciences, statistical modeling, data analysis, and the move to a big data future with the internet. People who love to work with data are best suited for roles in big data. This would likely include persons who may have quantitative experience in data technology, or a background and a skill set working with accounting, finance, ratios, and percentages. Big data enthusiasts may also be adventurous types, who take big risks and want to work at the forefront of technology and society.‎

    • Learning big data may be right for you if you have strong analytical insights, a data science background, a head for numbers, and a familiarity with internet tools, cloud platforms, and data analysis software. Working in big data is one of the most in-demand jobs now, and the opportunity to work in a relevant field is very alluring. If you're flexible in your work roles, are a creative thinker, and have the discipline and right background, then learning big data may be right for you to advance your career forward.‎

    이 FAQ 콘텐츠는 정보 전달 목적만으로 사용할 수 있습니다. 학습자는 과정 및 기타 학점 정보가 개인적, 직업적 및 재정적 목표에 부합하는지 확인하기 위해 추가 조사를 수행하는 것이 좋습니다.
    살펴볼 만한 다른 주제
    Placeholder
    예술 & 인문학
    338개의 강좌
    Placeholder
    비즈니스
    1095개의 강좌
    Placeholder
    컴퓨터 공학
    668개의 강좌
    Placeholder
    데이터 과학
    425개의 강좌
    Placeholder
    정보 기술
    145개의 강좌
    Placeholder
    건강
    471개의 강좌
    Placeholder
    수학 및 논리
    70개의 강좌
    Placeholder
    자기개발
    137개의 강좌
    Placeholder
    물리 과학 및 공학
    413개의 강좌
    Placeholder
    사회 과학
    401개의 강좌
    Placeholder
    언어 학습
    150개의 강좌

    Coursera Footer

    경력을 시작하거나 쌓기

    • Google 데이터 분석가
    • Google 프로젝트 관리
    • Google UX 디자인
    • Google IT 지원
    • IBM 데이터 과학
    • IBM 데이터 분석가
    • Excel & R을 사용한 IBM 데이터 분석
    • IBM 사이버 보안 분석가
    • IBM 데이터 엔지니어링
    • IBM 풀스택 클라우드 개발자
    • Facebook 소셜 미디어 마케팅
    • Facebook 마케팅 분석
    • Salesforce 영업 개발 담당자
    • Salesforce 영업 운영
    • Intuit 부기
    • Google 클라우드 자격증: 클라우드 아키텍트 취득 준비
    • Google 클라우드 자격증: 클라우드 데이터 엔지니어 취득 준비
    • 경력 시작
    • 수료증 취득 준비
    • 경력 쌓기

    인기 있는 주제 찾아보기

    • 무료 강좌
    • 언어 학습
    • 파이썬
    • Java
    • 웹 디자인
    • SQL
    • Cursos Gratis
    • Microsoft Excel
    • 프로젝트 관리
    • 사이버 보안
    • 인사
    • 데이터 과학 무료 강좌
    • 영어 말하기
    • 콘텐츠 작성
    • 풀스택 웹 개발
    • 인공 지능
    • C 프로그래밍
    • 커뮤니케이션 기술
    • 블록체인
    • 모든 강좌 보기

    인기 강좌 및 문서

    • 데이터 과학 팀을 위한 기술
    • 데이터 기반 의사 결정
    • 소프트웨어 엔지니어링 기술
    • 엔지니어링 팀을 위한 소프트 스킬
    • 경영 기술
    • 마케팅 기술
    • 영업 팀을 위한 기술
    • 제품 관리자 기술
    • 금융을 위한 기술
    • 영국에서 인기 있는 데이터 과학 강좌
    • Beliebte Technologiekurse in Deutschland
    • 인기 있는 사이버 보안 자격증
    • 인기 있는 IT 자격증
    • 인기 있는 SQL 자격증
    • 마케팅 관리자 커리어 가이드
    • 프로젝트 관리자 커리어 가이드
    • Python 프로그래밍 기술
    • 웹 개발자 커리어 가이드
    • 데이터 분석가 기술
    • UX 설계자를 위한 기술

    온라인으로 학위 또는 자격증 취득

    • MasterTrack® 자격증
    • 전문 자격증
    • 대학교 수료증
    • MBA 및 경영학 학위
    • 데이터 과학 학위
    • 컴퓨터 공학 학위
    • 데이터 분석 학위
    • 공중 보건 학위
    • 사회 과학 학위
    • 관리 학위
    • 유럽 일류 대학의 학위
    • 석사 학위
    • 학사 학위
    • 성적 기반 경로를 제공하는 학위
    • 이학사 강좌
    • 학사 학위란 무엇인가요?
    • 석사 학위를 취득하는 데 얼마나 오래 걸리나요?
    • 온라인 MBA를 들을 만한 가치가 있나요?
    • 대학원 등록금을 지불하는 7가지 방법
    • 모든 자격증 보기

    Coursera

    • 소개
    • 제공 내용
    • 리더십
    • 직업
    • 카탈로그
    • Coursera Plus
    • 전문 자격증
    • MasterTrack® 자격증
    • 학위
    • 기업용 Coursera
    • 정부용
    • 캠퍼스용
    • 파트너가 되기
    • 코로나바이러스감염증-19 대응

    커뮤니티

    • 학습자
    • 파트너
    • 개발자
    • 베타 테스터
    • 번역가
    • 블로그
    • 기술 블로그
    • 지도 센터

    기타

    • 보도 자료
    • 투자자
    • 조건
    • 개인정보 보호
    • 도움말
    • 접근성
    • 문의하기
    • 문서
    • 디렉토리
    • 계열사
    • 현대 노예 선언문
    어디에서나 학습
    앱스토어에서 다운로드하기구글 플레이에서 받기
    Placeholder
    © 2022 Coursera Inc. All rights reserved.
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder