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    • Big Data

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    Результатов для запроса ''big data': 495

    • University of California San Diego

      University of California San Diego

      Big Data

      Получаемые навыки: 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

      (рецензий: 13.2k)

      Beginner · Specialization

    • IBM

      IBM

      IBM Data Engineering

      Получаемые навыки: 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, 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

      (рецензий: 34.6k)

      Beginner · Professional Certificate

    • Google

      Google

      Google Data Analytics

      Получаемые навыки: 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, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, Storytelling, Strategy and Operations, Theoretical Computer Science

      4.8

      (рецензий: 62.3k)

      Beginner · Professional Certificate

    • Cloudera

      Cloudera

      Modern Big Data Analysis with SQL

      Получаемые навыки: 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

      (рецензий: 1.3k)

      Beginner · Specialization

    • IBM

      IBM

      NoSQL, Big Data, and Spark Foundations

      Получаемые навыки: 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

      (рецензий: 184)

      Beginner · Specialization

    • Universitat Autònoma de Barcelona

      Universitat Autònoma de Barcelona

      Big Data – Introducción al uso práctico de datos masivos

      Получаемые навыки: 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

      (рецензий: 2.6k)

      Beginner · Specialization

    • Placeholder
      IBM

      IBM

      IBM Data Analyst

      Получаемые навыки: 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

      (рецензий: 50.2k)

      Beginner · Professional Certificate

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      Google Cloud

      Google Cloud

      Data Engineering, Big Data, and Machine Learning on GCP

      Получаемые навыки: Apache, Applied Machine Learning, Big Data, Bigquery, Cloud Computing, Cloud Storage, Computer Architecture, Computer Programming, Data Lake, 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, Web Development

      4.6

      (рецензий: 16.5k)

      Intermediate · Specialization

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      University of California San Diego

      University of California San Diego

      Introduction to Big Data

      Получаемые навыки: Data Management, Distributed Computing Architecture, Computer Architecture, Cloud Computing, Data Analysis, Big Data, Apache

      4.6

      (рецензий: 10.5k)

      Mixed · Course

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      IBM

      IBM

      Introduction to Big Data with Spark and Hadoop

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

      4.2

      (рецензий: 94)

      Beginner · Course

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      University of Colorado Boulder

      University of Colorado Boulder

      Fundamentals of Software Architecture for Big Data

      Получаемые навыки: Graph Theory, Leadership and Management, Theoretical Computer Science, Mathematics

      Advanced · Course

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      Google Cloud

      Google Cloud

      Data Engineering, Big Data and ML on Google Cloud en Español

      Получаемые навыки: Algorithms, Analytics, Apache, Big Data, Cloud API, Cloud Computing, Cloud Platforms, Cloud Storage, Computer Architecture, Data Management, Databases, Distributed Computing Architecture, Flow Network, Full-Stack Web Development, Google Cloud Platform, Machine Learning, SQL, Statistical Programming, Theoretical Computer Science, Web Development

      4.7

      (рецензий: 685)

      Intermediate · Specialization

    Результаты поиска, связанного с big data

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

    10 самых популярных курсов по запросу big data

    • 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

    Навыки, которые вы можете получить здесь: Machine Learning

    Программирование На Языке Python (33)
    TensorFlow (32)
    Глубокое Обучение (30)
    Искусственная Нейронная Сеть (24)
    Большие Данные (18)
    Статистическая Классификация (17)
    Обучения С Подкреплением (13)
    Алгебра (10)
    Байесовский (10)
    Линейная Алгебра (10)
    Линейная Регрессия (9)
    NumPy (9)

    Часто задаваемые вопросы на тему Большие данные

    • “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.‎

    Часто задаваемые вопросы предоставляются в ознакомительных целях. Учащимся рекомендуется дополнительно убедиться в том, что интересующие их курсы и другие материалы соответствуют их личным, профессиональным и финансовым потребностям.
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