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    • Data Modeling

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    320 Ergebnisse für „data modeling“

    • University of California San Diego

      University of California San Diego

      Big Data Modeling and Management Systems

      Kompetenzen, die Sie erwerben: Data Model, Big Data, Data Warehousing, Data Management, Modeling

      4.4

      (2.9k Bewertungen)

      Mixed · Course · 1-3 Months

    • Johns Hopkins University

      Johns Hopkins University

      Calculus through Data & Modeling: Precalculus Review

      Kompetenzen, die Sie erwerben: Linear Algebra, Security Engineering, Mathematics, Network Security, Algebra, Computer Networking, Mathematical Theory & Analysis, Calculus

      4.8

      (49 Bewertungen)

      Beginner · Course · 1-3 Months

    • Johns Hopkins University

      Johns Hopkins University

      Calculus through Data & Modeling: Limits & Derivatives

      Kompetenzen, die Sie erwerben: Mathematics, Calculus, Mathematical Theory & Analysis

      4.8

      (137 Bewertungen)

      Beginner · Course · 1-3 Months

    • Johns Hopkins University

      Johns Hopkins University

      Calculus through Data & Modeling: Differentiation Rules

      Kompetenzen, die Sie erwerben: Theoretical Computer Science, Lambda Calculus, Derivative, Mathematics, Calculus, Chaining, Differential Equations

      4.8

      (19 Bewertungen)

      Intermediate · Course · 1-3 Months

    • Johns Hopkins University

      Johns Hopkins University

      Calculus through Data & Modeling: Applying Differentiation

      Kompetenzen, die Sie erwerben: Mathematics, Calculus, Linearity, Differential Equations, Approximation, Mathematical Theory & Analysis

      4.6

      (19 Bewertungen)

      Intermediate · Course · 1-3 Months

    • University of Illinois at Urbana-Champaign

      University of Illinois at Urbana-Champaign

      Data Modeling and Regression Analysis in Business

      Kompetenzen, die Sie erwerben: Supply Chain and Logistics, Regression, General Statistics, Regression Analysis, Big Data, Theoretical Computer Science, Analysis, Data Analysis, Probability & Statistics, Algorithms, Business Analysis, Communication, Data Management, Statistical Programming, Analytics, Advertising, Data Visualization, R Programming, Statistical Analysis, Marketing, Rstudio

      4.3

      (52 Bewertungen)

      Intermediate · Course · 1-4 Weeks

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      Meta

      Meta

      Advanced Data Modeling

      Beginner · Course

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      Queen Mary, University of London

      Queen Mary, University of London

      Master of Science in Applied Data Analytics

      Erwerben Sie ein Zertifikat

      Degree

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      University of Colorado Boulder

      University of Colorado Boulder

      Master of Science in Data Science

      Kompetenzen, die Sie erwerben: Data Visualization, Algorithms, Business Psychology, Database Application, R Programming, Database Design, SQL, Probability Distribution, Communication, Computer Graphics, Mathematics, Computer Programming, Data Structures, General Statistics, Data Clustering Algorithms, Analysis, Theoretical Computer Science, Machine Learning Algorithms, Deep Learning, Databases, Regression, Programming Principles, Software Engineering, Writing, Data Analysis, Data Management, Artificial Neural Networks, Computer Vision, Graph Theory, Human Resources, Culture, Calculus, Probability & Statistics, Econometrics, Machine Learning, Statistical Programming, Data Warehousing

      Erwerben Sie ein Zertifikat

      Degree

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      IIIT Bangalore

      IIIT Bangalore

      M.Sc. Data Science

      Erwerben Sie ein Zertifikat

      Degree

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      University of Illinois

      University of Illinois

      Graduate Certificate in Accounting Data Analytics

      Credits angeboten

      Graduate Certificate

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      University of Colorado Boulder

      University of Colorado Boulder

      Data Science Graduate Certificate

      Credits angeboten

      Graduate Certificate

    Suchanfragen mit Bezug zu data modeling

    data modeling and regression analysis in business
    big data modeling and management systems
    advanced data modeling
    calculus through data & modeling: limits & derivatives
    calculus through data & modeling: precalculus review
    calculus through data & modeling: differentiation rules
    calculus through data & modeling: applying differentiation
    modeling data in the tidyverse
    1234…27

    Zusammenfassend sind hier 10 unserer beliebtesten data modeling Kurse

    • Big Data Modeling and Management Systems: University of California San Diego
    • Calculus through Data & Modeling: Precalculus Review: Johns Hopkins University
    • Calculus through Data & Modeling: Limits & Derivatives: Johns Hopkins University
    • Calculus through Data & Modeling: Differentiation Rules: Johns Hopkins University
    • Calculus through Data & Modeling: Applying Differentiation: Johns Hopkins University
    • Data Modeling and Regression Analysis in Business: University of Illinois at Urbana-Champaign
    • Advanced Data Modeling: Meta
    • Master of Science in Applied Data Analytics: Queen Mary, University of London
    • Master of Science in Data Science: University of Colorado Boulder
    • M.Sc. Data Science: IIIT Bangalore

    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 Datenmodellierung

    • Data modeling is an essential prerequisite to proper database design, as it clearly establishes the structures, relationships, and flows of data through an organization. This diagramming is important because it ensures the integrity of a company’s data and its interrelationships in the database management system (DBMS) so that it can be relied on for accurate analysis.

      Data modeling has become more challenging in the big data era, as vast flows of unstructured, real-time data are not easily classified. However, there are also new tools available for data management professionals. Neo4j, one type of NoSQL database, can help with data modeling by filtering large datasets with graph analytics. And, with Apache Impala’s ability to analyze big data in the cloud, data modelers can create flexible system protocols that can evolve with data growth.‎

    • Data modeling is a complex process that demands the ability to precisely understand and diagram business operations, data flows, and data management systems. Database administrators especially rely on data modeling to design and manage an organization’s databases to ensure security, integrity, and freedom from error.

      Data engineers also use data modeling skills to efficiently design and build an organization’s data infrastructure. They are responsible for creating the data pipelines, data warehouses, and data lakes used for business operations, exploratory data analysis, and predictive business intelligence. According to Glassdoor, the national average salary for a data engineer in the United States is $102,864 per year.‎

    • Yes! Coursera offers a wide variety of online courses and Specializations in data modeling, as well as related topics like data warehousing, business intelligence, and big data. You can take courses from top-ranked institutions like the University of California San Diego and the University of Illinois at Urbana-Champaign, so you don’t have to sacrifice the quality of your education for the opportunity to learn online.

      Coursera also offers the opportunity to pursue a full Master of Science in Data Science degree from the University of Colorado Boulder. Whether you’re a data science beginner or adding new skills to your resume, data modeling will give you an essential perspective into the structure of an organization’s data operations.‎

    • Previous experience or education—at the high school or postsecondary levels—in information science, applied mathematics, or computer science and related topics can help you form the foundation needed to learn about data modeling. A background in business management and information systems management may also be beneficial. Naturally, you'll need good basic computer skills, as well as some experience in areas like database administration, computer architecture, data representation, and digital logic. An understanding of modeling tools—like PowerDesigner, Erwin, and Enterprise Architect—can also prepare you to learn data modeling. Experience with database management systems is also a must. Software development experience can be helpful too.‎

    • While technical skills are important for work that involves data modeling, you must also be a good communicator and teacher. In many cases, you'll have to explain your job to those who may not fully understand it. This means you'll need good written and verbal communication skills. It also means you'll need good interpersonal skills and the ability to work well with a team. You should also have a business-minded personality. The ideas and standards you implement will be based on the needs of the business where you work. You must be someone who can learn, change, and adapt quickly as you'll find that the job calls for that on many occasions.‎

    • Anyone with a background and passion for math, data, and computers may find that learning data modeling is right for them, especially if you dream of working in the business world and helping companies reach their full potential. Your technical knowhow and communication skills must be equally as sharp if you want a career in the field. However, choosing a career in this field means plenty of job opportunities, a competitive salary, and a great outlook for the future. You must be willing to build on your education and experience to work your way up from a career such as a data analyst if you choose this path.‎

    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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