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    421 Ergebnisse für „data modeling“

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      University of Illinois at Urbana-Champaign

      Data Modeling and Regression Analysis in Business

      Kompetenzen, die Sie erwerben: Data Management, Probability & Statistics, Statistical Programming, Accounting, Statistical Analysis

      4.3

      (52 Bewertungen)

      Intermediate · Course · 1-4 Weeks

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      University of California San Diego

      Big Data Modeling and Management Systems

      Kompetenzen, die Sie erwerben: Data Management, Data Science, Business, Data Model, Data Structures, Spreadsheet Software, Big Data, Business Analysis, Data Architecture, Database Application, Databases, Information Technology, Data Warehousing

      4.4

      (3k Bewertungen)

      Mixed · Course · 1-3 Months

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      Johns Hopkins University

      Calculus through Data & Modeling: Precalculus Review

      Kompetenzen, die Sie erwerben: Mathematics, Algebra, Linear Algebra, Calculus

      4.8

      (75 Bewertungen)

      Beginner · Course · 1-3 Months

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      Meta

      Advanced Data Modeling

      Kompetenzen, die Sie erwerben: Data Management, Computer Programming, Computer Programming Tools, Data Model, Extract, Transform, Load, Business Analysis, Data Analysis, Data Visualization, Data Visualization Software, Data Warehousing, Database Design, Databases, SQL, Statistical Programming, Tableau Software

      4.4

      (15 Bewertungen)

      Intermediate · Course · 1-4 Weeks

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      Johns Hopkins University

      Calculus through Data & Modeling: Limits & Derivatives

      Kompetenzen, die Sie erwerben: Calculus, Mathematics

      4.8

      (160 Bewertungen)

      Beginner · Course · 1-3 Months

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      Johns Hopkins University

      Calculus through Data & Modeling: Differentiation Rules

      Kompetenzen, die Sie erwerben: Calculus, Mathematics, Differential Equations

      4.8

      (32 Bewertungen)

      Intermediate · Course · 1-3 Months

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      Johns Hopkins University

      Calculus through Data & Modeling: Applying Differentiation

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

      4.8

      (30 Bewertungen)

      Intermediate · Course · 1-3 Months

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      Queen Mary, University of London

      Master of Science in Applied Data Analytics

      Erwerben Sie ein Zertifikat

      Degree · 1-4 Years

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      University of Colorado Boulder

      Master of Science in Data Science

      Kompetenzen, die Sie erwerben: Theoretical Computer Science, Probability & Statistics, General Statistics, Algorithms, Data Management, Strategy and Operations, Computer Architecture, Mathematics, Leadership and Management, Data Analysis, Databases, Communication, Hardware Design, Operating Systems, Statistical Programming, Computer Programming, Business Analysis, Research and Design, Machine Learning, Finance, Regression, SQL, Writing, Data Structures, Project Management, Statistical Analysis, Business Communication, Entrepreneurship, Probability Distribution, Software Engineering, Database Design, Statistical Tests, Computer Networking, Accounting, Design and Product, Computer Graphics, Operations Research, Systems Design, Data Visualization, Data Model, Database Administration, Database Application, Database Theory, Machine Learning Algorithms, Statistical Machine Learning, Human Computer Interaction, Estimation, Internet Of Things, PostgreSQL, Problem Solving, Experiment, Network Architecture, Graph Theory, Applied Mathematics, Computer Vision, Deep Learning, Financial Analysis, Supply Chain and Logistics, Geometry, Security Engineering, User Experience, Econometrics, Marketing, Mathematical Theory & Analysis, Programming Principles, Python Programming, Computer Graphic Techniques, Algebra, Cryptography, Business Psychology, Interactive Design, Budget Management, Correlation And Dependence, Distributed Computing Architecture, Linear Algebra, Linux, Critical Thinking, Data Mining, Cost Accounting, Differential Equations, User Experience Design, Data Warehousing, Network Model, Cloud Computing, Cyberattacks, Security Strategy, Computer Programming Tools, Computational Logic, Applied Machine Learning, Calculus, Computational Thinking, Feature Engineering, Graphic Design, Investment Management, Other Programming Languages, Sales, Scrum (Software Development), Software Architecture, Software Testing, System Programming, Visual Design, Human Resources, Matlab, Artificial Neural Networks, Emotional Intelligence, Market Analysis, NoSQL, Statistical Visualization, Basic Descriptive Statistics, C Programming Language Family, Data Analysis Software, Exploratory Data Analysis, FinTech, Material Handling, Organizational Development, Planning, Product Lifecycle, Risk Management, Strategy, Amazon Web Services, Big Data, Cloud Platforms, Culture, Decision Making, Graphics Software, Microarchitecture, Application Development, Computer Security Models, Leadership Development, Operational Analysis, Product Design, Reinforcement Learning, Software Security, System Security, User Research, Market Research, Plot (Graphics), R Programming, Account Management, Banking, BlockChain, Business Process Management, Contract Management, Data Architecture, Financial Accounting, Financial Management, Generally Accepted Accounting Principles (GAAP), Geovisualization, Inventory Management, Management Accounting, Markov Model, Natural Language Processing, Operations Management, Product Management, Spreadsheet Software, Storytelling, Supplier Relationship Management, Benefits, Collaboration, Computer Science, Computer Security Incident Management, Data Science, Dimensionality Reduction, Forecasting, Journalism, Negotiation, Network Analysis, Network Security, Resilience, System Software

      Erwerben Sie ein Zertifikat

      Degree · 1-4 Years

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      University of Leeds

      Master of Science in Data Science (Statistics)

      Erwerben Sie ein Zertifikat

      Degree · 1-4 Years

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      University of Illinois

      Graduate Certificate in Accounting Data Analytics

      Kompetenzen, die Sie erwerben: Accounting, Leadership and Management, Finance, Business Analysis, Data Analysis, Entrepreneurship, Marketing, Strategy and Operations, Financial Accounting, Strategy, Sales, Financial Analysis, Taxes, Probability & Statistics, Management Accounting, Mergers & Acquisitions, Communication, Research and Design, Business Psychology, Investment Management, Generally Accepted Accounting Principles (GAAP), Statistical Programming, Audit, Machine Learning, Human Resources, Market Research, Market Analysis, Banking, Marketing Management, Python Programming, Organizational Development, General Statistics, Basic Descriptive Statistics, Customer Analysis, Data Visualization, Design and Product, Digital Marketing, Financial Management, Risk Management, Statistical Analysis, Budget Management, Corporate Accouting, Leadership Development, General Accounting, Supply Chain and Logistics, Business Development, Exploratory Data Analysis, Product Marketing, Project Management, Cost Accounting, Culture, Marketing Design, Media Strategy & Planning, R Programming, Regression, Data Management, Brand Management, Business Communication, Operations Management, Computer Programming, Theoretical Computer Science, Spreadsheet Software, Accounts Payable and Receivable, Advertising, Decision Making, Innovation, Media Production, Algorithms, Negotiation, Product Management, Forecasting, Critical Thinking, Data Visualization Software, Machine Learning Algorithms, Data Analysis Software, Entrepreneurial Finance, Product Lifecycle, Software Engineering, Statistical Tests, Plot (Graphics), Performance Management, Big Data, Data Structures, Inventory Management, Statistical Visualization, Adaptability, Advertising Sales, Behavioral Economics, Collaboration, Data Mining, Influencing, Natural Language Processing, Product Strategy, Social Media, Software Testing, Storytelling, Web Design, Web Development, Change Management, Databases, Experiment, Extract, Transform, Load, Mathematics, Regulations and Compliance, SQL, Agile Software Development, BlockChain, Business Design, Business Process Management, Computer Programming Tools, Conflict Management, Creativity, Graph Theory, Human Learning, Javascript, Marketing Psychology, Material Handling, Network Analysis, People Development, Planning, Problem Solving, Public Relations, Search Engine Optimization, Securities Sales, Supply Chain Systems, Survey Creation, Probability Distribution, Cash Management, Correlation And Dependence, Database Administration, Microsoft Excel, Process Analysis, Visualization (Computer Graphics), Back-End Web Development, Business Intelligence, Computer Graphics, Data Architecture, Econometrics, Game Theory, Human Computer Interaction, Journalism, Operating Systems, Product Development, Scrum (Software Development), Systems Design, Tableau Software, User Research, Virtual Reality

      Credits angeboten

      Graduate Certificate · 6-12 Months

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      University of Colorado Boulder

      Data Science Graduate Certificate

      Kompetenzen, die Sie erwerben: Probability & Statistics, General Statistics, Regression, Data Analysis, Statistical Analysis, Machine Learning, Business Analysis, Statistical Tests, Theoretical Computer Science, Probability Distribution, Machine Learning Algorithms, Data Management, Statistical Machine Learning, Experiment, Mathematics, Data Mining, Deep Learning, Econometrics, Python Programming, Statistical Programming, Artificial Neural Networks, Applied Machine Learning, Data Warehousing, Correlation And Dependence, Algorithms, Reinforcement Learning, Calculus, Estimation, Exploratory Data Analysis, Basic Descriptive Statistics, Differential Equations, Feature Engineering, Natural Language Processing, Spreadsheet Software, Communication, Computer Programming, Data Science, Data Structures, Dimensionality Reduction, Linear Algebra, Marketing, R Programming, SQL

      Credits angeboten

      Graduate Certificate · 6-12 Months

    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: applying differentiation
    calculus through data & modeling: differentiation rules
    modeling data in the tidyverse
    1234…36

    Zusammenfassend sind hier 10 unserer beliebtesten data modeling Kurse

      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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