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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

    • Status: New
      New
      P

      Packt

      70+ JavaScript Challenges - Data Structures and Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Computational Thinking, Javascript, Debugging, Computer Science, Development Environment, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of ML & Python for Data Science

      Skills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Descriptive Statistics, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Probability

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Advanced Statistical Techniques for Data Science

      Skills you'll gain: Machine Learning Algorithms, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Data Analysis, Data Presentation, Regression Analysis, Data Cleansing, Applied Machine Learning, Analytics, Machine Learning, Statistical Methods, R Programming, Data Science, Statistical Modeling, Data Manipulation, Data Validation, Feature Engineering, Exploratory Data Analysis

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      38 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Exploratory Data Analysis & Core ML Algorithms

      Skills you'll gain: Exploratory Data Analysis, Data Processing, Predictive Modeling, Classification And Regression Tree (CART), Data Analysis, Machine Learning Algorithms, Regression Analysis, Statistical Modeling, Data Cleansing, Feature Engineering, Supervised Learning, Data Manipulation, Predictive Analytics, Data Visualization

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      NumPy, Matplotlib & Pandas – Data Science Prerequisites

      Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization Software, Scatter Plots, Data Manipulation, Scikit Learn (Machine Learning Library), Data Science, Statistical Methods, Data Analysis Software, Python Programming, Machine Learning, Probability Distribution, Classification And Regression Tree (CART), Linear Algebra

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      Dartmouth College

      Data Analytics for Digital Transformation

      Skills you'll gain: Digital Transformation, Business Ethics, Customer experience improvement, Predictive Analytics, Simulation and Simulation Software, Business Transformation, Scikit Learn (Machine Learning Library), Operations Research, Analytics, Business Technologies, Business Analytics, Data-Driven Decision-Making, Feature Engineering, Business Modeling, Systems Thinking, Complex Problem Solving, Process Optimization, Technology Strategies, Applied Machine Learning, Statistical Machine Learning

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Fundamentals of Visualization with Tableau

      Skills you'll gain: Data Visualization Software, Data Visualization, Interactive Data Visualization, Dashboard, Tableau Software, Data Presentation, Tree Maps, Data Analysis, Data Import/Export

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Time Series Forecasting with Facebook Prophet in Python

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Predictive Modeling, Data Manipulation, Anomaly Detection, Pandas (Python Package), Exploratory Data Analysis, Data Cleansing

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      W

      Whizlabs

      Getting Started with Microsoft Fabric

      Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Pipelines, Data Transformation, Data Analysis, Microsoft Azure, Analytics, Data Warehousing, Data Integration, Data Processing, Data Cleansing, Data Modeling, Dashboard, Data Governance

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Microsoft Power BI - The Complete Masterclass [2023 EDITION]

      Skills you'll gain: Data Analysis Expressions (DAX), Power BI, Data Transformation, Data Modeling, Data Visualization Software, Interactive Data Visualization, Statistical Visualization, Data Storytelling, Data Integration, Dashboard, Data Manipulation, Microsoft Excel, Data Import/Export, Pivot Tables And Charts, Business Intelligence, Data Cleansing, Data Security

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Marketing in a Digital World

      Skills you'll gain: Digital Marketing, Marketing, Marketing Strategies, MarTech, Digital Transformation, Digital Advertising, E-Commerce, Price Negotiation, Consumer Behaviour, Product Development, Product Promotion, Innovation, Customer Engagement

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidad Austral

      Excel aplicado a los negocios (Nivel Avanzado)

      Skills you'll gain: Excel Macros, Microsoft Excel, Excel Formulas, Spreadsheet Software, Business Analysis, Data Validation, Business Analytics, Data Import/Export, Data Maintenance, Process Optimization, Data Analysis Software, Business Modeling, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3K reviews

      Intermediate · Course · 1 - 3 Months

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    1…313233…616

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

    • 70+ JavaScript Challenges - Data Structures and Algorithms: Packt
    • Foundations of ML & Python for Data Science: Packt
    • Advanced Statistical Techniques for Data Science: Illinois Tech
    • Exploratory Data Analysis & Core ML Algorithms: Packt
    • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
    • Data Analytics for Digital Transformation: Dartmouth College
    • Fundamentals of Visualization with Tableau: University of California, Davis
    • Time Series Forecasting with Facebook Prophet in Python: Packt
    • Getting Started with Microsoft Fabric: Whizlabs
    • Microsoft Power BI - The Complete Masterclass [2023 EDITION]: Packt

    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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