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    • Data Storage

    Data Storage Courses Online

    Explore data storage solutions for managing large datasets. Learn about database management systems, cloud storage, and data warehousing.

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    Explore the Data Storage Course Catalog

    • G

      Google Cloud

      Data Engineering, Big Data, and Machine Learning on GCP

      Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Lakes, MLOps (Machine Learning Operations), Dashboard, Data Warehousing, Extract, Transform, Load, Data Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data, Data Integration, Data Processing, Data Visualization Software, Apache Hadoop, Apache Spark, Cloud Computing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18K reviews

      Intermediate · Specialization · 3 - 6 Months

    • R

      Rice University

      Python Data Representations

      Skills you'll gain: Development Environment, Data Structures, File Management, Data Storage, Scripting, Python Programming, Computer Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Microsoft Azure Cosmos DB

      Skills you'll gain: Microsoft Azure, NoSQL, Database Administration, Database Systems, Cloud Storage, Data Storage, Cloud Services, Data Security, Data Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      94 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google

      Share Data Through the Art of Visualization

      Skills you'll gain: Data Storytelling, Data Visualization, Data Presentation, Interactive Data Visualization, Tableau Software, Presentations, Data Visualization Software, Dashboard, Web Content Accessibility Guidelines, Design Elements And Principles

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Modern Data Warehouse Analytics in Microsoft Azure

      Skills you'll gain: Power BI, Databricks, Microsoft Azure, Cloud Services, Data Warehousing, Apache Spark, Cloud Storage, Databases, Data Lakes, Business Intelligence, Big Data, Data Storage, Extract, Transform, Load, Data Integration, Data Processing, Data Pipelines

      4.5
      Rating, 4.5 out of 5 stars
      ·
      111 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Microsoft Azure SQL

      Skills you'll gain: Database Systems, Microsoft Azure, Databases, Relational Databases, MySQL, SQL, Database Management, Cloud Services, Cloud Computing, PostgreSQL, Data Storage Technologies, Data Security

      4.6
      Rating, 4.6 out of 5 stars
      ·
      240 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      J

      Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Visualization, Statistical Programming, Ggplot2, Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Analysis, Data Import/Export, General Science and Research, Data Sharing, Statistical Reporting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      U

      University of Michigan

      Python for Everybody

      Skills you'll gain: Web Scraping, Data Processing, Relational Databases, JSON, Database Design, SQL, Network Protocols, Databases, Web Services, Restful API, Programming Principles, Data Cleansing, Data Structures, Data Storytelling, Data Collection, Computer Programming, Python Programming, Data Manipulation, Development Environment, Computational Thinking

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      277K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      U

      University of Michigan

      Capstone: Retrieving, Processing, and Visualizing Data with Python

      Skills you'll gain: Data Processing, Data Cleansing, Data Storytelling, Data Collection, Data Visualization Software, Data Manipulation, Data Access, Python Programming, Exploratory Data Analysis, Algorithms, Web Scraping, Unstructured Data, Text Mining

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14K reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      G

      Google Cloud

      Security in Google Cloud

      Skills you'll gain: Cloud Infrastructure, Google Cloud Platform, Identity and Access Management, Data Loss Prevention, Distributed Denial-Of-Service (DDoS) Attacks, Infrastructure As A Service (IaaS), Cloud Applications, Cloud Security, Kubernetes, Cloud Computing, OAuth, Security Controls, Cloud Storage, Network Infrastructure, Containerization, Threat Management, Application Security, Virtual Private Networks (VPN), Data Security, Authorization (Computing)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Placeholder
      G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Developer

      Skills you'll gain: Containerization, Cloud Applications, Cloud Development, Cloud Infrastructure, Google Cloud Platform, Application Deployment, Docker (Software), Infrastructure As A Service (IaaS), Application Development, CI/CD, Kubernetes, Microservices, Authentications, Serverless Computing, Identity and Access Management, Cloud Computing, Generative AI, Cloud API, Cloud Storage, Data Storage

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Placeholder
      J

      Johns Hopkins University

      The Data Scientist’s Toolbox

      Skills you'll gain: Rmarkdown, Version Control, Data Science, General Science and Research, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      34K reviews

      Mixed · Course · 1 - 4 Weeks

    Data Storage learners also search

    Data Engineering
    Big Data
    Big Data Analytics
    Beginner Big Data
    Big Data Projects
    Python Data Science
    Advanced Big Data
    Data Architecture
    1…456…592

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

    • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
    • Python Data Representations: Rice University
    • Microsoft Azure Cosmos DB: Microsoft
    • Share Data Through the Art of Visualization: Google
    • Modern Data Warehouse Analytics in Microsoft Azure: Microsoft
    • Microsoft Azure SQL: Microsoft
    • Data Science: Foundations using R: Johns Hopkins University
    • Python for Everybody: University of Michigan
    • Capstone: Retrieving, Processing, and Visualizing Data with Python: University of Michigan
    • Security in Google Cloud: Google Cloud

    Frequently Asked Questions about Data Storage

    Data storage is a system used by organizations and companies to organize and store digital information. Data can be stored in either hardware or software form, stored in the cloud, or on a physical asset like digital tape or a data disk. Data storage in the cloud is becoming more prominent due to its scalability and large amounts of data that can be stored.

    With the increasing digitization of our world, the demands of data storage have grown exponentially. IDC estimates that digital data will grow to 175 zettabytes by 2025. That's more than triple the growth of data where we are today. For comparison, know that one zettabyte is equal to one trillion gigabytes. Some of the largest data storage companies include Pure Storage, Microsoft Azure, AWS (Amazon Web Services), Dell EMC, and IBM. There are also data storage facilities in remote locations that are being used by the largest corporations in healthcare, retail, and government.‎

    It's important to learn about data storage to gain insights and knowledge about how all the data consumed daily is processed, analyzed, and stored. You can learn that digital information in applications, websites, databases, network protocols, media, and more is stored on block storage, file storage, network storage, magnetic tapes, hard disks, and in the cloud. All of this knowledge can elevate your understanding of data storage and put you at the forefront of new trends in big data storage.‎

    Careers that use data storage knowledge and understanding include data technician, storage architect, data architect, data engineer, database administrator, and storage and data engineer, to name a few. These jobs are in high demand across all industries, as big data's rise has accelerated the need for people to work in data storage jobs.‎

    Online courses on Coursera in data storage will be applicable to you whether you work in network storage, cloud facilities, or systems administration. Courses are led by experts that are knowledgeable about data storage and can help you figure out your strengths and where best you can apply your skills. When you take this online course knowledge and pair it with real-world applications at your job, the insights of data storage that you learned can take on new understanding for you.‎

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

    When looking to enhance your workforce's skills in Data Storage, 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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