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
IBM
Excel Basics for Data Analysis
Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Wrangling, Data Quality, Pivot Tables And Charts, Google Sheets, Data Manipulation, Data Visualization Software, Information Privacy
4.8
Rating, 4.8 out of 5 stars
9.6K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Status: AI skills
IBM
IBM Data Engineering
Skills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Data Store, Jupyter, Generative AI, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
58K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
IBM AI Developer
Skills you'll gain: Prompt Engineering, HTML and CSS, Software Development Life Cycle, Software Architecture, Large Language Modeling, Unit Testing, Generative AI, Artificial Intelligence, Software Design, ChatGPT, Jupyter, Scrum (Software Development), Software Engineering, Agile Methodology, Bootstrap (Front-End Framework), Web Design, Application Deployment, Automation, Interviewing Skills, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
69K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Status: AI skills
IBM
IBM Data Analyst
Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Visualization, SQL, Predictive Modeling, Generative AI, Interactive Data Visualization, Exploratory Data Analysis, Data Wrangling, Data Analysis, Big Data, Jupyter, Matplotlib, Statistical Analysis, Pandas (Python Package), IBM Cognos Analytics, Excel Formulas, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
92K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Status: AI skills
Microsoft
Microsoft Power BI Data Analyst
Skills you'll gain: Data Storytelling, Dashboard, Excel Formulas, Extract, Transform, Load, Power BI, Data Analysis Expressions (DAX), Microsoft Excel, Microsoft Copilot, Data Modeling, Data-Driven Decision-Making, Star Schema, Data Analysis, Data Presentation, Data Visualization Software, Spreadsheet Software, Data Validation, Interactive Data Visualization, Data Transformation, Data Cleansing, Data Storage
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
7.3K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Google
Google Advanced Data Analytics
Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Statistical Hypothesis Testing, Data Ethics, Data Visualization Software, Sampling (Statistics), Data Presentation, Regression Analysis, Feature Engineering, Data Transformation, Descriptive Statistics, Professional Networking, Data Visualization, Tableau Software, Data Manipulation, Statistical Analysis, Advanced Analytics, Object Oriented Programming (OOP), Data Analysis, Interviewing Skills
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
6.2K reviews
Advanced · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
Data Warehouse Fundamentals
Skills you'll gain: Data Warehousing, Extract, Transform, Load, Star Schema, IBM DB2, Data Modeling, Snowflake Schema, PostgreSQL, Database Design, Data Architecture, Data Mart, Database Systems, Data Lakes, Data Validation, Data Integration, SQL, Data Cleansing, Query Languages, Data Quality
4.5
Rating, 4.5 out of 5 stars
228 reviews
Intermediate · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
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, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store
4.6
Rating, 4.6 out of 5 stars
6.6K reviews
Beginner · Professional Certificate · 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
What is Data Science?
Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence
4.7
Rating, 4.7 out of 5 stars
76K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Data Science Fundamentals with Python and SQL
Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Statistical Hypothesis Testing, Databases, Stored Procedure, Web Scraping, Relational Databases, Automation, Data Science, GitHub, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
71K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
IBM
Databases and SQL for Data Science with Python
Skills you'll gain: SQL, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Database Management, Data Analysis, Jupyter, Data Manipulation, Pandas (Python Package), Transaction Processing
4.7
Rating, 4.7 out of 5 stars
22K reviews
Beginner · Course · 1 - 3 Months