What is 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.

Why is it important to learn about data storage?

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.

What are careers that use data storage knowledge?

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.

How can online courses on Coursera help me learn about data storage?

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.

What are the benefits of taking an online Data Storage course?

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.

What Data Storage courses are best for training and upskilling employees or the workforce?

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 .

Top Data Storage Courses - Learn Data Storage Online

Explore the Data Storage Course Catalog

Status: Free Trial
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, Cloud Engineering, Data Infrastructure, Cloud Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data, Data Integration, Data Migration, Data Processing, Data Visualization Software
4.6
Rating, 4.6 out of 5 stars
18K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
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 Wrangling, Data Visualization, Plotly, Machine Learning Algorithms, Plot (Graphics), Knitr
4.5
Rating, 4.5 out of 5 stars
51K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
IBM
IBM Data Management
Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Data Governance, Data Security, Data Migration, Database Design, Data Literacy, Descriptive Statistics, Extract, Transform, Load, Data Mining, Cloud Storage, Data Visualization Software, Data Store, IBM DB2, Data Management, Relational Databases, MySQL, Excel Formulas
4.7
Rating, 4.7 out of 5 stars
17K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
Python Project for Data Science
Skills you'll gain: Dashboard, Pandas (Python Package), Data Visualization Software, Web Scraping, Jupyter, Matplotlib, Data Analysis, Data Science, Data Processing, Data Manipulation, Python Programming, Data Collection
4.5
Rating, 4.5 out of 5 stars
4.6K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
R Programming
Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Program Development, Data Structures, Performance Tuning, Data Import/Export
4.5
Rating, 4.5 out of 5 stars
22K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Status: AI skills
Meta
Meta Data Analyst
Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Management, Data Collection, Data Governance, Bayesian Statistics, Data Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Information Privacy, Data Cleansing, Pandas (Python Package), Data Visualization Software, Statistical Inference, Spreadsheet Software, Correlation Analysis, Google Sheets, Exploratory Data Analysis, Data Modeling
4.7
Rating, 4.7 out of 5 stars
1.4K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
Tools for Data Science
Skills you'll gain: Jupyter, Data Visualization Software, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Version Control, Other Programming Languages, Query Languages
4.5
Rating, 4.5 out of 5 stars
30K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
IBM
AI Foundations for Everyone
Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Artificial Intelligence, ChatGPT, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, Workflow Management, Deep Learning, Machine Learning, Artificial Neural Networks, Governance, Automation, Application Deployment, Business Transformation, IBM Cloud, Applied Machine Learning, Program Development, Computer Vision
4.7
Rating, 4.7 out of 5 stars
27K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of California San Diego
Big Data
Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Applied Machine Learning, Data Presentation, Scalability, Data Mining, Data Processing, Statistical Analysis, Data Management, NoSQL, Database Management Systems, Network Analysis
4.5
Rating, 4.5 out of 5 stars
14K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
IBM
Data Analysis and Visualization Foundations
Skills you'll gain: Data Storytelling, Big Data, Data Visualization Software, Data Analysis, Dashboard, IBM Cognos Analytics, Statistical Analysis, Data Mining, Apache Hadoop, Tree Maps, Excel Formulas, Data Wrangling, Apache Hive, Data Collection, Data Mart, Microsoft Excel, Data Warehousing, Data Quality, Data Cleansing, Data Import/Export
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
28K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Johns Hopkins University
Genomic Data Science
Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Molecular Biology, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Statistical Modeling, Data Structures, Data Analysis, R Programming, Computational Thinking, Jupyter
4.5
Rating, 4.5 out of 5 stars
6.6K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
IBM
Generative AI for Data Analysts
Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Data Storytelling, OpenAI, Analytics, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Dashboard, Large Language Modeling, Data Ethics, Artificial Intelligence, Program Development, Data Visualization Software, SQL, Python Programming, Query Languages, Content Creation, Image Analysis, Virtual Environment
4.7
Rating, 4.7 out of 5 stars
6.8K reviews
Intermediate · Specialization · 1 - 3 Months