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    • Big Data Analytics

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    577 Ergebnisse für „big data analytics“

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      University of California San Diego

      Big Data

      Kompetenzen, die Sie erwerben: 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

      (13.5k Bewertungen)

      Beginner · Specialization · 3-6 Months

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      Google

      Google Data Analytics

      Kompetenzen, die Sie erwerben: 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

      (100.7k Bewertungen)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      Introduction to Big Data with Spark and Hadoop

      Kompetenzen, die Sie erwerben: 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

      (173 Bewertungen)

      Beginner · Course · 1-3 Months

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      Google Cloud

      Data Engineering, Big Data, and Machine Learning on GCP

      Kompetenzen, die Sie erwerben: 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

      (17.4k Bewertungen)

      Intermediate · Specialization · 3-6 Months

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      Coursera Project Network

      Working with BigQuery

      Kompetenzen, die Sie erwerben: Big Data, Data Management, Data Visualization, Databases, SQL, Statistical Programming

      4.3

      (118 Bewertungen)

      Beginner · Guided Project · Less Than 2 Hours

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      IBM Skills Network

      Introduction to Data Analytics

      Kompetenzen, die Sie erwerben: Data Analysis, Data Management, Data Science, Big Data, Databases, NoSQL, Python Programming, SQL, Statistical Programming, Basic Descriptive Statistics, Cloud Computing, Data Mining, Data Structures, Data Visualization, Data Warehousing, General Statistics, Machine Learning, Mathematics, Probability & Statistics, Apache, Business Analysis, Data Visualization Software, Extract, Transform, Load, Leadership and Management, Microsoft Excel, Professional Development

      4.8

      (10.1k Bewertungen)

      Beginner · Course · 1-3 Months

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      Macquarie University

      Excel Skills for Data Analytics and Visualization

      Kompetenzen, die Sie erwerben: Business Analysis, Spreadsheet Software, Data Analysis, Microsoft Excel, Data Visualization, Interactive Data Visualization, Data Analysis Software, Data Management, Data Model, Extract, Transform, Load, Big Data, Power BI

      4.8

      (3.9k Bewertungen)

      Intermediate · Specialization · 3-6 Months

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      Microsoft

      Microsoft Azure Data Engineering Associate (DP-203)

      Kompetenzen, die Sie erwerben: Cloud Computing, Microsoft Azure, Data Management, Extract, Transform, Load, Big Data, Data Warehousing, Cloud Storage, Statistical Programming, Apache, Cloud Infrastructure, Databases, SQL, Data Analysis, Accounting, Business Analysis, Financial Analysis, Computer Programming, Continuous Integration, DevOps, NoSQL, Business Psychology, Entrepreneurship, Leadership and Management, Organizational Development, Application Development, Computer Networking, Data Architecture, Network Security, Security Engineering, Security Strategy, Software Engineering, Software Engineering Tools

      4.3

      (495 Bewertungen)

      Intermediate · Professional Certificate · 3-6 Months

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      IBM Skills Network

      IBM AI Engineering

      Kompetenzen, die Sie erwerben: Machine Learning, Computer Programming, Python Programming, Computer Vision, Deep Learning, Statistical Programming, Artificial Neural Networks, Machine Learning Algorithms, Probability & Statistics, General Statistics, Regression, Applied Machine Learning, Apache, Data Management, Data Mining, Data Analysis, Statistical Analysis, Big Data, Algorithms, Theoretical Computer Science, Statistical Machine Learning, Computer Graphics, Dimensionality Reduction, Tensorflow, Computer Graphic Techniques, Basic Descriptive Statistics, Business Analysis, Correlation And Dependence, Databases, Mathematics, NoSQL, SQL, Estimation, Econometrics, Entrepreneurship, Machine Learning Software, Probability Distribution, Data Science, Data Structures, IBM Cloud, Supply Chain Systems, Supply Chain and Logistics

      4.6

      (15.8k Bewertungen)

      Intermediate · Professional Certificate · 3-6 Months

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      Kostenlos

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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)

      Kompetenzen, die Sie erwerben: Data Management, Big Data, Data Analysis, Marketing, Digital Marketing, Accounting

      4.7

      (314 Bewertungen)

      Beginner · Course · 1-3 Months

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      University of California San Diego

      Introduction to Big Data

      Kompetenzen, die Sie erwerben: 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

      (10.7k Bewertungen)

      Mixed · Course · 1-3 Months

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      Fundação Instituto de Administração

      Introdução ao Big Data

      Kompetenzen, die Sie erwerben: Big Data, Data Management, Computer Architecture, Computer Graphics, Computer Networking, Human Computer Interaction, Interactive Design, Internet Of Things, Network Architecture, Software Engineering, Accounting

      4.6

      (317 Bewertungen)

      Beginner · Course · 1-4 Weeks

    Suchanfragen mit Bezug zu big data analytics

    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 (scala 2 version)
    big data analysis with scala and spark
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    modern big data analysis with sql
    1234…49

    Zusammenfassend sind hier 10 unserer beliebtesten big data analytics Kurse

    • Big Data: University of California San Diego
    • Google Data Analytics: Google
    • Introduction to Big Data with Spark and Hadoop: IBM Skills Network
    • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
    • Working with BigQuery: Coursera Project Network
    • Introduction to Data Analytics: IBM Skills Network
    • Excel Skills for Data Analytics and Visualization: Macquarie University
    • Microsoft Azure Data Engineering Associate (DP-203): Microsoft
    • IBM AI Engineering: IBM Skills Network
    • 大數據分析:商業應用與策略管理 (Big Data Analytics: Business Applications and Strategic Decisions): National Taiwan University

    Fähigkeiten, die Sie bei Machine Learning erlernen können

    Python-Programmierung (33)
    TensorFlow (32)
    Deep Learning (30)
    Künstliches Neuronales Netz (24)
    Big Data (18)
    Statistische Klassifikation (17)
    Verstärkungslernen (13)
    Algebra (10)
    Bayes (10)
    Lineare Algebra (10)
    Lineare Regression (9)
    Numpy (9)

    Häufig gestellte Fragen zum Thema Big Data Analytics

    • 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.‎

    Diese häufig gestellten Fragen dienen nur zu Informationszwecken. Den Lernenden wird empfohlen, eingehender zu recherchieren, ob Kurse und andere angestrebte Qualifikationen wirklich ihren persönlichen, beruflichen und finanziellen Vorstellungen entsprechen.
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