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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

      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

    • G

      Google Cloud

      Data Management and Storage in the Cloud

      Skills you'll gain: Data Governance, Data Management, Data Lakes, Data Architecture, Data Access, Cloud Storage, Metadata Management, Data Warehousing, Database Management, Relational Databases, Query Languages, NoSQL, Star Schema, Big Data, Google Cloud Platform, Data Processing, Performance Tuning

      4
      Rating, 4 out of 5 stars
      ·
      24 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Visualization, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Knitr

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Cloud Storage: Qwik Start - Cloud Console

      Skills you'll gain: Cloud Storage, Cloud Management, Data Storage, Google Cloud Platform, File Management, Public Cloud, Data Sharing, Data Access

      4.8
      Rating, 4.8 out of 5 stars
      ·
      15 reviews

      Beginner · Project · Less Than 2 Hours

    • C

      Cloudera

      Modern Big Data Analysis with SQL

      Skills you'll gain: Database Design, SQL, Apache Hive, Relational Databases, Databases, Database Management, Big Data, Database Systems, MySQL, Data Management, Query Languages, Amazon S3, Data Storage Technologies, Operational Databases, Cloud Storage, Analytics, Data Import/Export, Performance Tuning, Apache Hadoop, PostgreSQL

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Executive Data Science

      Skills you'll gain: Data Quality, Exploratory Data Analysis, Data Presentation, Employee Onboarding, Data Management, Team Motivation, Technical Communication, Data Analysis, Project Management, Interviewing Skills, Data Visualization, Data Cleansing, Data Science, Data-Driven Decision-Making, Management Reporting, Organizational Leadership, Data Storytelling, Team Management, Analytical Skills, Business Analytics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11K reviews

      Beginner · Specialization · 1 - 3 Months

    • Placeholder
      U

      University of California San Diego

      Big Data

      Skills you'll gain: Apache Spark, PySpark, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Graph Theory, Data Pipelines, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Infrastructure, Data Presentation, Scalability, Data Processing, Statistical Analysis, Databases, Data Architecture

      4.5
      Rating, 4.5 out of 5 stars
      ·
      14K reviews

      Beginner · Specialization · 3 - 6 Months

    • 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
      I

      IBM

      Introduction to Data Analytics

      Skills you'll gain: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Apache Hive, Data Collection, Data Mart, Data Warehousing, Data Storytelling, Apache Spark, Data Cleansing, Data Lakes, Data Visualization Software, SQL

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      U

      University of Michigan

      Python Data Structures

      Skills you'll gain: Data Structures, Python Programming, Data Manipulation, Development Environment, File Management, Data Analysis, Computer Programming, Software Installation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      96K reviews

      Beginner · Course · 1 - 3 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

    • Placeholder
      I

      IBM

      IBM Relational Database Administrator

      Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, MySQL, PostgreSQL, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Transformation, IBM DB2, Relational Databases, Jupyter, Generative AI

      4.6
      Rating, 4.6 out of 5 stars
      ·
      56K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    Data Storage learners also search

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    1234…592

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

    • Share Data Through the Art of Visualization: Google
    • Data Management and Storage in the Cloud: Google Cloud
    • Data Science: Johns Hopkins University
    • Cloud Storage: Qwik Start - Cloud Console: Google Cloud
    • Modern Big Data Analysis with SQL: Cloudera
    • Executive Data Science: Johns Hopkins University
    • Big Data: University of California San Diego
    • Data Science: Foundations using R: Johns Hopkins University
    • Introduction to Data Analytics: IBM
    • Python Data Structures: University of Michigan

    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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