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Data Modeling Courses

Data modeling courses can help you learn how to create data structures, define relationships between data elements, and ensure data integrity. You can build skills in normalization, schema design, and data visualization techniques. Many courses introduce tools like SQL for database management, ERD tools for visualizing data relationships, and software like Tableau for data analysis, showing how these skills are applied in practical work.


Popular Data Modeling Courses and Certifications


  • Status: Free Trial
    Free Trial
    G

    Google

    The Path to Insights: Data Models and Pipelines

    Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Data Warehousing, Data Pipelines, Business Intelligence, Data Mart, Database Management, Data Management, Process Optimization, Data Quality, Data Transformation, Performance Testing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    701 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Advanced Data Modeling

    Skills you'll gain: MySQL Workbench, Extract, Transform, Load, Data Modeling, Database Design, MySQL, Data Warehousing, Database Management, Databases, Relational Databases, Database Architecture and Administration, Advanced Analytics, Data Analysis, Data Visualization Software

    4.3
    Rating, 4.3 out of 5 stars
    ·
    104 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Modeling in Power BI

    Skills you'll gain: Data Analysis Expressions (DAX), Data Modeling, Star Schema, Power BI, Database Design, Data Warehousing, Business Intelligence, Data Analysis, Time Series Analysis and Forecasting, Performance Tuning, Data Visualization

    4.3
    Rating, 4.3 out of 5 stars
    ·
    788 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Modeling and Architecture

    Skills you'll gain: Data Analysis Expressions (DAX), Data Ethics, Data Modeling, Data Governance, Data Architecture, Database Design, Power BI, Star Schema, Information Privacy, Data Visualization Software, Data Security, Data Integrity, Snowflake Schema, Relational Databases, Data Cleansing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    16 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Data Modeling, Transformation, and Serving

    Skills you'll gain: Data Modeling, Data Transformation, Data Warehousing, Data Preprocessing, Apache Hadoop, Data Pipelines, Apache Spark, Feature Engineering, Star Schema, Real Time Data, Data Access, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    88 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Databases and SQL for Data Science with Python

    Skills you'll gain: SQL, Relational Databases, Stored Procedure, Databases, Query Languages, Jupyter, Data Manipulation, Data Analysis, Pandas (Python Package), Transaction Processing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    22K reviews

    Beginner · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Data Architecture

    Skills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Data Security, Linux Commands, Data Migration, Database Design, Data Governance, MySQL, Database Administration, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Data Store, Data Architecture

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.2K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Statistics for Data Science

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Science, Statistics, Mathematical Modeling, Data Analysis, Data Modeling, Applied Mathematics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    783 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    Power BI: Data Modeling and Data Analysis

    Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Modeling, Star Schema, Data Warehousing, Data Security, Data Visualization Software, Pivot Tables And Charts, Performance Tuning, Business Intelligence, Excel Formulas, Role-Based Access Control (RBAC)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Engineering Foundations

    Skills you'll gain: Web Scraping, Database Design, SQL, MySQL, Data Transformation, Data Store, IBM DB2, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Databases, Database Management, Data Warehousing, Data Governance, Relational Databases, Stored Procedure, Data Import/Export, Programming Principles, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    59K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    I

    Illinois Tech

    Data Modeling and Applications

    Skills you'll gain: Database Management Systems, Database Design, Database Architecture and Administration, Database Application, Relational Databases, SQL, Data Modeling, Query Languages, Data Integrity, Data Manipulation, Data Security

    Build toward a degree

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Fundamentals of Quantitative Modeling

    Skills you'll gain: Business Modeling, Mathematical Modeling, Regression Analysis, Statistical Modeling, Risk Analysis, Forecasting, Predictive Analytics, Business Analytics, Simulation and Simulation Software, Probability, Logistic Regression, Vocabulary

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.3K reviews

    Mixed · Course · 1 - 4 Weeks

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

  • The Path to Insights: Data Models and Pipelines: Google
  • Advanced Data Modeling: Meta
  • Data Modeling in Power BI: Microsoft
  • Data Modeling and Architecture: Microsoft
  • Data Modeling, Transformation, and Serving: DeepLearning.AI
  • Databases and SQL for Data Science with Python: IBM
  • IBM Data Architecture: IBM
  • Advanced Statistics for Data Science: Johns Hopkins University
  • Power BI: Data Modeling and Data Analysis: Whizlabs
  • Data Engineering Foundations: IBM

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.‎

Data modeling is the process of creating a visual representation of a system or data structure. It serves as a blueprint for how data is organized, stored, and accessed. This practice is crucial because it helps ensure that data is accurately represented and can be efficiently managed. By establishing clear relationships between different data elements, organizations can improve data quality, enhance decision-making, and streamline operations.‎

A variety of job roles are available in the field of data modeling. Positions such as Data Modeler, Database Administrator, Data Analyst, and Business Intelligence Analyst often require expertise in data modeling. These roles involve designing data structures, optimizing database performance, and ensuring that data is accessible and usable for analysis and reporting.‎

To excel in data modeling, you should develop a mix of technical and analytical skills. Key skills include understanding database management systems (DBMS), proficiency in SQL, and familiarity with data visualization tools. Additionally, knowledge of data architecture, data warehousing concepts, and business process modeling can be beneficial. Soft skills like problem-solving and communication are also important, as they help in collaborating with stakeholders.‎

There are several online courses available that can help you learn data modeling effectively. Some notable options include the Data Modeling and Architecture course, which covers fundamental concepts and techniques. Additionally, the Data-Driven Systems: DBMS, SQL & Data Modeling course offers practical insights into data management and modeling.‎

Yes. You can start learning data modeling on Coursera for free in two ways:

  1. Preview the first module of many data modeling courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in data modeling, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn data modeling, start by exploring foundational concepts through online courses. Engage with practical exercises to apply what you learn. Consider joining study groups or forums to discuss challenges and share insights with peers. Additionally, working on real-world projects can enhance your understanding and provide hands-on experience.‎

Typical topics covered in data modeling courses include entity-relationship modeling, normalization, data warehousing, and the use of various modeling tools. Courses may also explore specific methodologies, such as dimensional modeling and data governance, to provide a comprehensive understanding of how to design effective data systems.‎

For training and upskilling employees in data modeling, courses like Data Modeling and Architecture and Data Modeling in Power BI are excellent choices. These courses are designed to equip learners with practical skills that can be directly applied in the workplace, enhancing their ability to manage and analyze data effectively.‎

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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