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    • Big Data Analytics

    필터링 기준

    "big data analytics"에 대한 405개의 결과

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      Google

      Google Data Analytics

      획득할 기술: Algorithms, Application Development, Bias, Big Data, Budget Management, Business Analysis, Business Communication, Change Management, Cloud Computing, Communication, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Model, Data Security, Data Structures, Data Type, Data Visualization, Data Visualization Software, 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, General Statistics, Interactive Data Visualization, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Metadata, Network Security, Other Programming Languages, Plot (Graphics), 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, Storytelling, Strategy and Operations, Tableau Software, Theoretical Computer Science, Visual Design, Web Development

      4.8

      (70.4k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      University of California San Diego

      Big Data

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

      4.5

      (13.3k개의 검토)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      Introduction to Data Analytics

      획득할 기술: Analytics, Data Structures, Business Analysis, Big Data, Data Analysis, Analysis, Data Warehousing, Professional Development, Extract, Transform, Load, Apache, Data Management, Data Visualization, NoSQL, Data Mining, Databases, Leadership and Management, General Statistics, Data Visualization Software

      4.8

      (7.5k개의 검토)

      Beginner · Course · 1-3 Months

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      Universitat Autònoma de Barcelona

      Big Data – Introducción al uso práctico de datos masivos

      획득할 기술: Accounting, Advertising, Algorithms, Analytics, Apache, Artificial Neural Networks, Basic Descriptive Statistics, Big Data, Business Analysis, Business Intelligence, Business Psychology, Cloud Computing, Cloud Platforms, Communication, Computer Architecture, Data Analysis, Data Analysis Software, Data Management, Data Structures, Data Visualization, Data Visualization Software, Databases, Dimensionality Reduction, Distributed Computing Architecture, Financial Analysis, General Statistics, Graph Theory, Human Resources, Machine Learning, Machine Learning Algorithms, Marketing, Mathematics, NoSQL, Plot (Graphics), 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 · 3-6 Months

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      University of Colorado Boulder

      Advanced Business Analytics

      획득할 기술: Algorithms, Analytics, Applied Machine Learning, Artificial Neural Networks, Big Data, Business Analysis, Business Analytics, Cloud Computing, Computer Vision, Correlation And Dependence, Data Analysis, Data Analysis Software, Data Clustering Algorithms, Data Management, Data Visualization, Databases, Exploratory Data Analysis, General Statistics, Machine Learning, Machine Learning Algorithms, Markov Model, Mathematical Theory & Analysis, Plot (Graphics), Probability & Statistics, Regression, SQL, Simulation, Spreadsheet Software, Statistical Analysis, Statistical Programming, Theoretical Computer Science

      4.6

      (4.8k개의 검토)

      Intermediate · Specialization · 3-6 Months

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      Cloudera

      Foundations for Big Data Analysis with SQL

      획득할 기술: Big Data, Analysis, Analytics, Data Management, Statistical Programming, Distributed Computing Architecture, Computer Architecture, Database Design, Databases, Database Application, SQL

      4.8

      (997개의 검토)

      Beginner · Course · 1-3 Months

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      IBM Skills Network

      Introduction to Big Data with Spark and Hadoop

      획득할 기술: Big Data, Extract, Transform, Load, Kubernetes, Distributed Computing Architecture, Data Management, Computer Architecture, Apache, Cloud Computing

      4.3

      (105개의 검토)

      Beginner · Course · 1-3 Months

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      University of California San Diego

      Introduction to Big Data

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

      4.6

      (10.5k개의 검토)

      Mixed · Course · 1-3 Months

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      Fundação Instituto de Administração

      Introdução ao Big Data

      획득할 기술: Software Engineering, Computer Graphics, Network Architecture, Human Computer Interaction, Computer Networking, Computer Architecture, Interactive Design, Internet Of Things

      4.6

      (312개의 검토)

      Beginner · Course · 1-4 Weeks

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      Google Cloud

      Big Data Analysis to a Slide Presentation

      Intermediate · Project · Less Than 2 Hours

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      무료

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      National Taiwan University

      大數據分析:商業應用與策略管理 (Big Data Analytics: Business Applications and Strategic Decisions)

      획득할 기술: Accounting, Analytics, Digital Marketing, Big Data, Data Analysis, Data Management, Marketing

      4.7

      (272개의 검토)

      Beginner · Course · 1-3 Months

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      Arizona State University

      Big Data MasterTrack® Certificate

      획득할 기술: Architecture, Geovisualization, Computer Programming, Algorithms, Software Testing, Computer Networking, Statistical Programming, Machine Learning, Data Management, Security Engineering, Security, Deep Learning, Data Visualization, Feature Engineering, Operating Systems, Network Security, Programming Principles, Finance, Theoretical Computer Science, Tableau Software, Software Engineering, Bayesian Network, Data Mining, Journalism, Software Architecture, Mobile Development, Probability & Statistics, Communication, Data Structures, BlockChain, General Statistics, Entrepreneurship, Data Analysis, System Security, Software, Databases

      학점 제공

      Mastertrack · 6-12 Months

    big data analytics과(와) 관련된 검색

    大數據分析:商業應用與策略管理 (big data analytics: business applications and strategic decisions)
    graph analytics for big data
    big data analytical platform on alibaba cloud
    big data analysis with scala and spark
    big data analysis with scala and spark (scala 2 version)
    big data analysis to a slide presentation
    big data analysis deep dive
    modern big data analysis with sql
    1234…34

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

    • Google Data Analytics: Google
    • Big Data: University of California San Diego
    • Introduction to Data Analytics: IBM Skills Network
    • Big Data – Introducción al uso práctico de datos masivos: Universitat Autònoma de Barcelona
    • Advanced Business Analytics: University of Colorado Boulder
    • Foundations for Big Data Analysis with SQL: Cloudera
    • Introduction to Big Data with Spark and Hadoop: IBM Skills Network
    • Introduction to Big Data: University of California San Diego
    • Introdução ao Big Data: Fundação Instituto de Administração
    • Big Data Analysis to a Slide Presentation: Google Cloud

    Machine Learning에서 학습할 수 있는 스킬

    Python 프로그래밍 (33)
    TensorFlow (32)
    심층 학습 (30)
    인공 신경 회로망 (24)
    빅 데이터 (18)
    통계 분류 (17)
    강화 학습 (13)
    대수학 (10)
    베이지안 (10)
    선형 대수 (10)
    선형 회귀 (9)
    Numpy (9)

    Big Data Analytics에 대한 자주 묻는 질문

    • Big data analytics refers to the application of advanced data analysis techniques to datasets that are very large, diverse (including structured and unstructured data), and often arriving in real time. The ability to process data at this scale is increasingly essential to navigating today’s business world, and it is at the core of important applications such as machine learning, business intelligence, financial engineering, and other software tools to enable data-informed decision-making.

      Computer programs have been used to assist with data analysis for decades, but tools like Microsoft Excel and traditional relational database management systems (RDBMS) queried with SQL are not capable of handling today’s high-volume, high-velocity datasets. Instead, today’s data management professionals rely on high-powered data infrastructure designed to work with distributed file systems and cloud computing resources - particularly the open-source Apache Hadoop ecosystem, including high-speed data processing with Apache Spark and distributed SQL engines like Apache Hive.‎

    • Organizations of all types and sizes are seeking ways to leverage the possibilities of big data to improve operations through reduced costs and faster decision-making, create new products and services, or advance our knowledge about the world. Big data analytics skills can thus open up a wide range of career opportunities, from working as a “quant” on Wall Street to developing navigation systems for autonomous vehicles to helping to discover more effective medicines and drugs in health science.

      Two of the most broadly-applicable roles in this field are data engineers, who build the data infrastructure needed to deliver big data-scale datasets efficiently and reliably, and the data scientists responsible for analyzing them. These roles are in high demand, and are highly-paid as well; according to Glassdoor, data engineers earn an average annual salary of $102,864, and data scientists earn an average annual salary of $113,309.‎

    • Absolutely! Data science is one of the most popular topics to learn about on Coursera, and there are a variety of options to build your skills in big data analytics. You can take online courses and Specializations from top-ranked schools like the University of Pennsylvania and the University of California San Diego, as well as leading companies like IBM, PwC, Cloudera, and Google Cloud. And regardless of where you choose to learn from, Coursera gives you the ability to access course materials and complete assignments on a flexible schedule, making this a great fit for students and mid-career professionals alike.‎

    • Before you start learning big data analytics, it’s helpful to have an understanding of database management and the fundamentals of how programming languages work. Specifically, experience with SQL, Python, Java, or R can be useful when studying big data analytics. You also may find it beneficial to know how to work with Hadoop and Linux and use basic math and statistics. Additionally, strong analytical skills and a curiosity about playing with data come in handy when you learn big data analytics.‎

    • The right people for roles in big data analytics are inquisitive problem solvers who like working with numbers and using statistics to sort through large amounts of data. They typically have work experience or coursework in high-level math or computer programming. A background in behavioral analysis can also be useful for roles in big data analytics because individuals often seek to understand or predict what influences the behavior represented by data. Big data analysts may often need soft skills, such as communication and collaboration skills they use when explaining what they see in the data and working with team members on projects.‎

    • If you like working with numbers and are comfortable using statistical techniques, learning big data analytics may be right for you. The amount of data collected on a daily basis is already massive and continues to grow, so organizations need analysts who can curate and prepare data for businesses, governments, and other groups to use. Learning big data analytics may interest you if you possess strong analytical and problem-solving skills and want to apply those skills to sorting and analyzing data to find what’s useful for a client. You may be able to use the knowledge you gain to land an internship or seek a career in data science filling roles in a variety of industries.‎

    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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