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    Results for "data modeling"

    • Status: Free
      Free

      University of Toronto

      Data Visualization for Genome Biology

      Skills you'll gain: Data Visualization Software, Statistical Visualization, Interactive Data Visualization, Bioinformatics, Ggplot2, Dimensionality Reduction, Scatter Plots, R Programming, Network Analysis, Heat Maps, Molecular Biology, Design Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 3 Months

    • Advancing Women in Tech

      The Business of Product Management II

      Skills you'll gain: Product Roadmaps, Product Management, Customer Retention, Financial Analysis, Product Development, Financial Statement Analysis, Product Lifecycle Management, Innovation, Revenue Management, Agile Methodology, Customer experience strategy (CX), Key Performance Indicators (KPIs), Continuous Improvement Process, Data-Driven Decision-Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      225 reviews

      Beginner · Course · 1 - 4 Weeks

    • University of California, Irvine

      Computer Hardware and Software

      Skills you'll gain: Network Security, Computer Hardware, Hardware Architecture, Computer Systems, Information Technology, System Software, General Networking, Network Protocols, Operating Systems, Computer Networking, Software Systems, Data Storage, File Systems

      4.5
      Rating, 4.5 out of 5 stars
      ·
      172 reviews

      Beginner · Course · 1 - 4 Weeks

    • Fundação Instituto de Administração

      Inteligência Artificial Aplicada ao CRM

      Skills you'll gain: Customer Relationship Management, Customer Data Management, Big Data, Data Mining, Data-Driven Decision-Making, Predictive Analytics, Data Visualization, Sales Management, Customer Engagement, Data Visualization Software, Data Modeling, R Programming, Customer Insights, Advanced Analytics, Customer experience strategy (CX), Data Science, Data Analysis, Data Manipulation, Artificial Intelligence, Data Structures

      4.4
      Rating, 4.4 out of 5 stars
      ·
      91 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free
      Free

      Rutgers the State University of New Jersey

      New Technologies for Business Leaders

      Skills you'll gain: Digital Transformation, Customer Engagement, Business Technologies, Customer experience improvement, Augmented and Virtual Reality (AR/VR), Business Transformation, Business Marketing, Cross-Functional Collaboration, Internet Of Things, Emerging Technologies, Business Ethics, Customer Relationship Management (CRM) Software, Business Leadership, Blockchain, Artificial Intelligence

      4.4
      Rating, 4.4 out of 5 stars
      ·
      435 reviews

      Intermediate · Course · 1 - 3 Months

    • University of London

      Web Application Development with JavaScript and MongoDB

      Skills you'll gain: User Accounts, MongoDB, Full-Stack Web Development, Command-Line Interface, Web Applications, Web Development, Javascript, Data Access, Data Validation, Application Frameworks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      615 reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New

      Johns Hopkins University

      Introduction to AI: Key Concepts and Applications

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Performance Metric, Strategic Leadership, Strategic Decision-Making, Data Quality, Applied Machine Learning, Data Ethics, Machine Learning, Supervised Learning, Algorithms, Artificial Neural Networks, Data Validation, Random Forest Algorithm, Resource Utilization, System Requirements

      4.8
      Rating, 4.8 out of 5 stars
      ·
      16 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free

      Universidade Estadual de Campinas

      Processamento Digital de Sinais - Amostragem

      Skills you'll gain: Digital Communications, Simulations, Electrical and Computer Engineering, Telecommunications, Mathematical Modeling, Electronics Engineering, Systems Of Measurement, Technical Analysis, Applied Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      209 reviews

      Mixed · Course · 1 - 3 Months

    • Edureka

      Introduction to PySpark

      Skills you'll gain: PySpark, Apache Spark, Distributed Computing, Big Data, Apache Hadoop, Data Processing, Data Manipulation, Exploratory Data Analysis, Python Programming

      3.7
      Rating, 3.7 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 4 Weeks

    • Duke University

      Spark, Hadoop, and Snowflake for Data Engineering

      Skills you'll gain: PySpark, Snowflake Schema, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, DevOps, Data Transformation, SQL

      3.8
      Rating, 3.8 out of 5 stars
      ·
      51 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Universidade de São Paulo

      Econometria Básica Aplicada

      Skills you'll gain: Econometrics, Regression Analysis, Statistical Inference, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Economics, Mathematical Modeling, Time Series Analysis and Forecasting, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      168 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free

      Coursera Project Network

      AWS S3 Basics

      Skills you'll gain: Amazon S3, Amazon Web Services, Cloud Hosting, Cloud Storage, Version Control, Encryption, Data Storage, Data Encryption Standard

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Beginner · Guided Project · Less Than 2 Hours

    Searches related to data modeling

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    1…187188189…670

    In summary, here are 10 of our most popular data modeling courses

    • Data Visualization for Genome Biology: University of Toronto
    • The Business of Product Management II: Advancing Women in Tech
    • Computer Hardware and Software: University of California, Irvine
    • Inteligência Artificial Aplicada ao CRM: Fundação Instituto de Administração
    • New Technologies for Business Leaders: Rutgers the State University of New Jersey
    • Web Application Development with JavaScript and MongoDB: University of London
    • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
    • Processamento Digital de Sinais - Amostragem: Universidade Estadual de Campinas
    • Introduction to PySpark: Edureka
    • Spark, Hadoop, and Snowflake for Data Engineering: Duke University

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Data Modeling

    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.‎

    Online Data Modeling courses offer a convenient and flexible way to enhance your knowledge or learn new Data Modeling skills. Choose from a wide range of Data Modeling courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Data Modeling, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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