What is data security?

Data security is the set of actions that an organization undertakes to protect the data that it creates, collects, and stores. It's important for your company to keep its data secure because secure data protects corporate and client information. A number of techniques comprise data security, including encryption, data masking, backup, and erasure. Keeping your data secure can protect your organization from criminal activity and legal action. Data security is increasingly important in a world where threats to data are more prevalent than ever.

Why is it important to learn data security?

It's important to learn about data security because everyone's data is increasingly at risk every day, and you can make a difference in solving that problem. Because organizations store so much of their data online, the data is vulnerable to attack, fraud, or theft, which is what makes data security essential for your company. Failing to protect your company's secrets and customer information can cost you dearly, and that's why data security has become a requirement for corporations. In-depth knowledge of data security can also lead to a lucrative career if you're looking for a change.

What career opportunities can arise from learning data security?

When you gain a thorough knowledge of data security, you can find career opportunities working as a security engineer or analyst with a corporation, or you can strike out on your own as a consultant working with multiple organizations. Many companies hire data security employees with degrees or training certificates, and the more advanced your training, the more money you can earn in the business. When you pass certain security clearances, you can also work for the military or federal government protecting classified information.

How can online courses on Coursera help me learn data security?

When you take online data security courses on Coursera, you're going to learn from some of the most prominent names in academia and industry, like Johns Hopkins University, IBM, and Amazon Web Services. You'll gain a thorough understanding of data security along with the practical applications of what you've learned. With your newfound knowledge of data security, you can advance in your current career or seek an exciting new job.

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

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

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

When looking to enhance your workforce's skills in Data Security, 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 Security Courses - Learn Data Security Online

Explore the Data Security Course Catalog

Google
Foundations: Data, Data, Everywhere
Skills you'll gain: Data Ethics, Data Analysis, Data-Driven Decision-Making, Google Sheets, Spreadsheet Software, Analytical Skills, Data Sharing, Data Cleansing, Data Processing, Data Visualization Software, SQL, Data Management
4.8
Rating, 4.8 out of 5 stars
114K reviews
Beginner · Course · 1 - 4 Weeks
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, Data Modeling, Programming Principles, Data Structures, Data Collection, Data Visualization Software, Data Manipulation, Computer Programming, Python Programming, Data Import/Export, Software Installation
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
277K reviews
Beginner · Specialization · 3 - 6 Months
Johns Hopkins University
The Data Scientist’s Toolbox
Skills you'll gain: Rmarkdown, Version Control, Data Science, Big Data, Git (Version Control System), GitHub, Data Analysis, R Programming, Statistical Programming, Development Environment, Integrated Development Environments, Software Installation
4.6
Rating, 4.6 out of 5 stars
34K reviews
Mixed · Course · 1 - 4 Weeks
IBM
IBM Data Analytics with Excel and R
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Shiny (R Package), Data Wrangling, Exploratory Data Analysis, Relational Databases, Big Data, Data Visualization Software, Ggplot2, Database Design, Data Analysis, IBM Cognos Analytics, Statistical Analysis, Data Presentation, Data Mining, Dashboard, Excel Formulas, Data Manipulation, Web Scraping, Microsoft Excel
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
28K reviews
Beginner · Professional Certificate · 3 - 6 Months
ISC2
Network Security
Skills you'll gain: Network Security, Cybersecurity, Cyber Attacks, Infrastructure Security, Threat Detection, Computer Networking, Data Centers, General Networking, Threat Management, Network Planning And Design, Firewall, Network Protocols, Cloud Computing, TCP/IP, Encryption
4.7
Rating, 4.7 out of 5 stars
221 reviews
Beginner · Course · 1 - 3 Months
Multiple educators
Data Science Foundations
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Data Visualization Software, Correlation Analysis, Web Scraping, NumPy, Probability & Statistics, Predictive Modeling, Big Data, Computer Programming Tools, Automation, Data Analysis Software, Data Collection, Machine Learning Algorithms, Unsupervised Learning
4.6
Rating, 4.6 out of 5 stars
112K reviews
Beginner · Specialization · 3 - 6 Months
IBM
Introduction to Data Science
Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, Data Analysis Software, Data Cleansing, Data Visualization Software, GitHub, Business Analysis, Cloud Computing, Data Analysis
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
99K reviews
Beginner · Specialization · 3 - 6 Months
IBM
Computer Networks and Network Security
Skills you'll gain: Networking Hardware, TCP/IP, Network Security, Network Protocols, Endpoint Detection and Response, Network Routing, Cybersecurity, Local Area Networks, Dynamic Host Configuration Protocol (DHCP), Firewall, General Networking, Information Systems Security, Intrusion Detection and Prevention, Endpoint Security, Network Infrastructure, Network Planning And Design, Wireless Networks, Security Information and Event Management (SIEM), Network Analysis, Data Loss Prevention
4.7
Rating, 4.7 out of 5 stars
3.4K reviews
Intermediate · Course · 1 - 3 Months
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
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 Wrangling, Data Visualization, Plot (Graphics), Statistical Programming, Ggplot2, Big Data, Git (Version Control System), Data Integration, Knitr, Data Analysis, Data Sharing, Statistical Reporting
4.6
Rating, 4.6 out of 5 stars
48K reviews
Beginner · Specialization · 3 - 6 Months
Status: AI skills
IBM
IBM Data Science
Skills you'll gain: Dashboard, Data Visualization Software, Data Wrangling, Data Visualization, SQL, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Jupyter, Data Literacy, Exploratory Data Analysis, Data Mining, Data Cleansing, Matplotlib, Data Analysis, Unsupervised Learning, Generative AI, Pandas (Python Package), Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
143K reviews
Beginner · Professional Certificate · 3 - 6 Months
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