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    • Big Data

    필터링 기준

    "big data"에 대한 680개의 결과

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      University of California San Diego

      Big Data

      획득할 기술: Data Management, Big Data, Data Analysis, Exploratory Data Analysis, Probability & Statistics, Distributed Computing Architecture, Machine Learning, Business Analysis, Statistical Programming, Data Science, Graph Theory, Mathematics, Apache, Computer Architecture, Databases, Data Analysis Software, NoSQL, Data Architecture, Machine Learning Algorithms, Business, Data Model, Data Structures, Spreadsheet Software, Data Mining, Python Programming, Data Visualization, SQL, Statistical Machine Learning, Statistical Visualization, Database Application, Information Technology, Cloud Computing, Software As A Service, Applied Machine Learning, Basic Descriptive Statistics, Computer Programming, Correlation And Dependence, Database Administration, Dimensionality Reduction, Feature Engineering, General Statistics, PostgreSQL, Regression, Statistical Analysis, Algorithms, Data Warehousing, Theoretical Computer Science

      4.5

      (13.5k개의 검토)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      IBM Data Engineering

      획득할 기술: Data Management, Databases, SQL, Data Architecture, Big Data, Data Structures, Database Administration, Statistical Programming, Database Theory, Apache, Extract, Transform, Load, Python Programming, Data Warehousing, Database Application, Data Model, Data Analysis, NoSQL, Data Engineering, Distributed Computing Architecture, Computer Architecture, Database Design, Operating Systems, System Programming, System Software, Programming Principles, PostgreSQL, Algebra, Business Analysis, Machine Learning, Computer Programming, Applied Machine Learning, Correlation And Dependence, Feature Engineering, General Statistics, Graph Theory, Machine Learning Algorithms, Machine Learning Software, Regression, Statistical Analysis, Statistical Machine Learning, Data Visualization, Data Visualization Software, Cloud Computing, DevOps, Leadership and Management, Cloud Engineering, Interactive Data Visualization, Basic Descriptive Statistics, Exploratory Data Analysis, Cloud Applications, Data Science, Hardware Design, Kubernetes, Network Architecture, Network Security, Other Programming Languages, Professional Development, Security Engineering, Accounting, Algorithms, Computational Logic, Computational Thinking, Computer Networking, Computer Programming Tools, IBM Cloud, Linux, Mathematical Theory & Analysis, Mathematics, Microarchitecture, Project Management, Security Strategy, Software Architecture, Software Engineering, Strategy and Operations, Theoretical Computer Science

      4.6

      (40.3k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      Google

      Google Data Analytics

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

      4.8

      (100.6k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      Universitat Autònoma de Barcelona

      Big Data – Introducción al uso práctico de datos masivos

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

      4.6

      (2.7k개의 검토)

      Beginner · Specialization · 3-6 Months

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      Cloudera

      Modern Big Data Analysis with SQL

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

      4.8

      (1.3k개의 검토)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      IBM Skills Network

      Introduction to Big Data with Spark and Hadoop

      획득할 기술: Apache, Big Data, Data Architecture, Distributed Computing Architecture, Computer Architecture, Data Management, Cloud Applications, Cloud Computing, Data Analysis, Data Warehousing, Database Administration, Databases, DevOps, Extract, Transform, Load, Kubernetes, Network Architecture, Other Programming Languages, SQL

      4.3

      (172개의 검토)

      Beginner · Course · 1-3 Months

    • Placeholder
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      Arizona State University

      Big Data MasterTrack® Certificate

      획득할 기술: Machine Learning, Theoretical Computer Science, Software Engineering, BlockChain, Finance, Software Architecture, Algorithms, Software Testing, Statistical Machine Learning, Computer Programming, Mobile Development, Deep Learning, Data Analysis, Computational Logic, Computer Architecture, Data Visualization, Databases, Mathematics, Probability & Statistics, Computational Thinking, Data Management, General Statistics, Mathematical Theory & Analysis, Programming Principles, Bayesian Network, Computer Vision, Data Mining, Data Structures, Design and Product, Distributed Computing Architecture, Feature Engineering, NoSQL, Operating Systems, Product Design, Artificial Neural Networks, Operations Research, Probability Distribution, Research and Design, Strategy and Operations, Amazon Web Services, Application Development, Calculus, Cloud Computing, Communication, Cryptography, Data Model, Database Administration, Database Application, Database Design, Dimensionality Reduction, Hardware Design, Journalism, Microarchitecture, SQL, Security Engineering, Software Framework, Statistical Programming, System Programming, iOS Development, Advertising, Algebra, Computer Graphics, Computer Networking, Critical Thinking, Docker (Software), Econometrics, Entrepreneurship, Geovisualization, Human Computer Interaction, Leadership and Management, Marketing, Matlab, Network Security, Other Programming Languages, Planning, Python Programming, Scala Programming, Security Strategy, Spreadsheet Software, Statistical Tests, Supply Chain Systems, Supply Chain and Logistics, System Security, Tableau Software, User Experience, Web Development

      학점 제공

      Mastertrack · 6-12 Months

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      Google Cloud

      Data Engineering, Big Data, and Machine Learning on GCP

      획득할 기술: Cloud Computing, Data Management, Computer Architecture, Cloud Platforms, Google Cloud Platform, Big Data, Distributed Computing Architecture, Machine Learning, SQL, Apache, Data Science, Hardware Design, Extract, Transform, Load, Cloud Storage, Full-Stack Web Development, Web Development, Databases, Information Technology, Python Programming, Statistical Programming, Computer Networking, Computer Programming, Data Analysis, Data Analysis Software, Data Visualization, Data Warehousing, Database Administration, Database Application, Database Theory, Kubernetes, Network Architecture, Operating Systems, Software Framework, System Programming, Theoretical Computer Science, Applied Machine Learning, Bayesian Statistics, Business Psychology, Cloud Applications, Cloud Infrastructure, Computational Thinking, Data Architecture, Data Model, Data Structures, Deep Learning, Entrepreneurship, Exploratory Data Analysis, Feature Engineering, General Statistics, Machine Learning Algorithms, Machine Learning Software, Probability & Statistics, Tensorflow

      4.6

      (17.4k개의 검토)

      Intermediate · Specialization · 3-6 Months

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      University of Colorado Boulder

      Software Architecture for Big Data

      획득할 기술: BlockChain, Finance, Software Architecture, Software Engineering, Theoretical Computer Science, Big Data

      3.1

      (7개의 검토)

      Advanced · Specialization · 1-3 Months

    • Placeholder
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      IBM Skills Network

      IBM Data Science

      획득할 기술: Python Programming, Data Science, Data Analysis, Data Structures, Statistical Programming, Machine Learning, Data Mining, Regression, Machine Learning Algorithms, Data Visualization, General Statistics, Basic Descriptive Statistics, SQL, Applied Machine Learning, Statistical Analysis, Computer Programming Tools, Data Analysis Software, Machine Learning Software, Software Visualization, Databases, Programming Principles, Exploratory Data Analysis, Algebra, Data Management, Database Theory, Data Visualization Software, R Programming, Statistical Machine Learning, Statistical Tests, Deep Learning, Probability & Statistics, Statistical Visualization, Database Application, Extract, Transform, Load, Devops Tools, SPSS, Estimation, Interactive Data Visualization, Algorithms, Computer Programming, Database Administration, Geovisualization, Plot (Graphics), Reinforcement Learning, Theoretical Computer Science, Big Data, Business Analysis, Computational Logic, Correlation And Dependence, Econometrics, Entrepreneurship, Marketing, Mathematical Theory & Analysis, Mathematics, Spreadsheet Software, Storytelling, Supply Chain Systems, Supply Chain and Logistics, Writing

      4.6

      (105.9k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

    • Placeholder
      Placeholder
      IBM Skills Network

      NoSQL, Big Data, and Spark Foundations

      획득할 기술: Big Data, Data Architecture, Apache, Data Management, Databases, NoSQL, Distributed Computing Architecture, Database Theory, Database Administration, Data Structures, Database Application, Data Model, Computer Architecture, Data Analysis, Extract, Transform, Load, Applied Machine Learning, Correlation And Dependence, Feature Engineering, General Statistics, Graph Theory, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Regression, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Database Design, Data Warehousing, SQL, Cloud Applications, Cloud Computing, DevOps, Kubernetes, Network Architecture, Other Programming Languages, Algorithms, Computational Thinking, Computer Networking, Computer Programming, IBM Cloud, Mathematics, Theoretical Computer Science

      4.3

      (305개의 검토)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      Placeholder
      University of California San Diego

      Introduction to Big Data

      획득할 기술: Big Data, Data Architecture, Distributed Computing Architecture, Apache, Cloud Computing, Data Analysis Software, NoSQL, Software As A Service, Computer Architecture, Data Analysis, Data Management

      4.6

      (10.7k개의 검토)

      Mixed · Course · 1-3 Months

    big data과(와) 관련된 검색

    big data analytics
    big data analysis with scala and spark (scala 2 version)
    big data analysis with scala and spark
    big data integration and processing
    big data modeling and management systems
    big data, genes, and medicine
    big data emerging technologies
    big data and language 2
    1234…57

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

    • Big Data: University of California San Diego
    • IBM Data Engineering: IBM Skills Network
    • Google Data Analytics: Google
    • Big Data – Introducción al uso práctico de datos masivos: Universitat Autònoma de Barcelona
    • Modern Big Data Analysis with SQL: Cloudera
    • Introduction to Big Data with Spark and Hadoop: IBM Skills Network
    • Big Data MasterTrack® Certificate: Arizona State University
    • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
    • Software Architecture for Big Data: University of Colorado Boulder
    • IBM Data Science: IBM Skills Network

    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.
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