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    • Data Modeling

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    424 results for "data modeling"

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      Johns Hopkins University

      Modeling Data in the Tidyverse

      Skills you'll gain: General Statistics, Probability & Statistics, Machine Learning, R Programming, Statistical Programming, Data Analysis, Econometrics, Regression, Advertising, Business Analysis, Communication, Experiment, Exploratory Data Analysis, Extract, Transform, Load, Marketing, Statistical Tests

      4.9

      (7 reviews)

      Mixed · Course · 1-3 Months

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      University of Pennsylvania

      Finance & Quantitative Modeling for Analysts

      Skills you'll gain: Accounting, Business Analysis, Financial Accounting, Finance, Data Analysis, Probability & Statistics, Statistical Analysis, Financial Analysis, Entrepreneurship, General Statistics, Spreadsheet Software, Data Model, Decision Making, Forecasting, Leadership and Management, Microsoft Excel, Planning, Statistical Tests, Strategy, Strategy and Operations, Business Transformation, Data Management, Estimation, Marketing, Probability Distribution, Regression, Sales, Supply Chain and Logistics, Financial Management, Business Research, Correlation And Dependence, Data Visualization, Investment Management, Research and Design, Statistical Visualization, Taxes, Accounts Payable and Receivable, Performance Management, Data Analysis Software, Design and Product, Market Research, Mathematics, Product Management, Product Marketing

      4.5

      (15.2k reviews)

      Beginner · Specialization · 3-6 Months

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      Coursera Project Network

      Discounted Cash Flow Modeling

      Skills you'll gain: Accounting, Corporate Accouting, Forecasting, Probability & Statistics, Business Analysis, Data Analysis, Financial Analysis

      4.4

      (528 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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      DeepLearning.AI

      Introduction to Machine Learning in Production

      Skills you'll gain: Machine Learning, Applied Machine Learning, Computer Vision, Change Management, Data Management, Estimation, General Statistics, Leadership and Management, Machine Learning Algorithms, Probability & Statistics, Strategy and Operations

      4.8

      (2.3k reviews)

      Advanced · Course · 1-4 Weeks

    • Free

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      Johns Hopkins University

      Business Analytics with Excel: Elementary to Advanced

      Skills you'll gain: Data Analysis, Business Analysis, Microsoft Excel, Data Management, Data Model, Algorithms, Mathematical Theory & Analysis, Mathematics, Supply Chain and Logistics, Theoretical Computer Science, Transportation Operations Management, Advertising, Communication

      4.9

      (7 reviews)

      Intermediate · Course · 1-3 Months

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      The University of Chicago

      Machine Learning: Concepts and Applications

      Skills you'll gain: Machine Learning, Regression

      2.6

      (7 reviews)

      Intermediate · Course · 1-3 Months

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      University of California, Irvine

      Data Science Fundamentals

      Skills you'll gain: Probability & Statistics, Data Analysis, General Statistics, Data Management, Theoretical Computer Science, Business Analysis, Human Resources, Regression, Big Data, Correlation And Dependence, Data Mining, Data Structures, Statistical Analysis, Advertising, Communication, Leadership and Management, Machine Learning, Natural Language Processing, Strategy and Operations

      4.2

      (163 reviews)

      Beginner · Specialization · 3-6 Months

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      Johns Hopkins University

      Statistical Inference

      Skills you'll gain: Bayesian Statistics, General Statistics, Probability & Statistics, Statistical Analysis, Statistical Programming, Statistical Tests, Data Analysis, Basic Descriptive Statistics, Business Analysis, Probability Distribution

      4.2

      (4.4k reviews)

      Mixed · Course · 1-4 Weeks

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      University of Washington

      Machine Learning: Regression

      Skills you'll gain: Machine Learning, Regression, Statistical Analysis, Statistical Machine Learning, Linear Algebra, Machine Learning Algorithms, Applied Machine Learning, Data Mining, Data Science, Machine Learning Software, Data Analysis, General Statistics, Statistical Tests, Feature Engineering, Basic Descriptive Statistics, Probability & Statistics, Algorithms, Computer Programming, Mathematical Theory & Analysis, Mathematics, Python Programming, Statistical Programming, Theoretical Computer Science

      4.8

      (5.5k reviews)

      Mixed · Course · 1-3 Months

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      SAS

      SAS Statistical Business Analyst

      Skills you'll gain: SAS (Software), Statistical Programming, Data Analysis, Probability & Statistics, Statistical Analysis, Regression, Business Analysis, General Statistics, Statistical Tests, Mathematics, Data Mining, Machine Learning, Statistical Machine Learning, Correlation And Dependence, Exploratory Data Analysis, Machine Learning Algorithms, Advertising, Algebra, Communication, Computer Programming, Journalism, Marketing, Python Programming

      4.6

      (116 reviews)

      Intermediate · Professional Certificate · 3-6 Months

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      University of California San Diego

      Machine Learning With Big Data

      Skills you'll gain: Data Analysis, Machine Learning, Data Analysis Software, Exploratory Data Analysis, Machine Learning Algorithms, Probability & Statistics, Data Mining, Data Visualization, Python Programming, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Applied Machine Learning, Basic Descriptive Statistics, Correlation And Dependence, Dimensionality Reduction, Feature Engineering, General Statistics, Regression, Statistical Analysis, Algorithms, Business Analysis, Data Management, Theoretical Computer Science

      4.6

      (2.4k reviews)

      Mixed · Course · 1-3 Months

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      Johns Hopkins University

      Tidyverse Skills for Data Science in R

      Skills you'll gain: Statistical Programming, R Programming, Data Management, Data Visualization, Theoretical Computer Science, Plot (Graphics), Extract, Transform, Load, General Statistics, Machine Learning, Probability & Statistics, Data Analysis, Business Analysis, Computer Programming, Econometrics, Programming Principles, Regression, Databases, Software Architecture, Software Engineering, Spreadsheet Software, Advertising, Communication, Computational Logic, Data Mining, Data Structures, Entrepreneurship, Experiment, Exploratory Data Analysis, Leadership and Management, Marketing, Mathematics, Natural Language Processing, Problem Solving, Research and Design, Statistical Tests

      4.5

      (79 reviews)

      Beginner · Specialization · 3-6 Months

    Searches related to data modeling

    data modeling and regression analysis in business
    advanced data modeling
    big data modeling and management systems
    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
    1…456…36

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

    • Modeling Data in the Tidyverse: Johns Hopkins University
    • Finance & Quantitative Modeling for Analysts: University of Pennsylvania
    • Discounted Cash Flow Modeling: Coursera Project Network
    • Introduction to Machine Learning in Production: DeepLearning.AI
    • Business Analytics with Excel: Elementary to Advanced: Johns Hopkins University
    • Machine Learning: Concepts and Applications: The University of Chicago
    • Data Science Fundamentals: University of California, Irvine
    • Statistical Inference: Johns Hopkins University
    • Machine Learning: Regression: University of Washington
    • SAS Statistical Business Analyst: SAS

    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.‎

    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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