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    • Data Security

    Data Security Courses Online

    Understand data security principles for protecting digital assets. Learn to implement security measures and respond to data breaches.

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    Explore the Data Security Course Catalog

    • I

      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

    • G

      Google

      Foundations of Cybersecurity

      Skills you'll gain: Cybersecurity, Security Controls, Cyber Attacks, Security Management, Cyber Security Strategy, Incident Response, Cyber Risk, Security Information and Event Management (SIEM), Information Assurance, Data Ethics, Network Analysis, Ethical Standards And Conduct

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      34K reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Macquarie University

      Excel Skills for Data Analytics and Visualization

      Skills you'll gain: Pivot Tables And Charts, Data Storytelling, Power BI, Excel Formulas, Data Analysis Expressions (DAX), Data Visualization Software, Interactive Data Visualization, Microsoft Excel, Spreadsheet Software, Dashboard, Data Modeling, Data Cleansing, Data Manipulation, Excel Macros, Infographics, Data Transformation, Data Analysis Software, Data Validation, Data Analysis, Microsoft Power Platform

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      IBM

      Tools for Data Science

      Skills you'll gain: Jupyter, Computer Programming Tools, Data Analysis Software, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Development Environment, Version Control, Other Programming Languages

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 3 Months

    • I

      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, Databases, Stored Procedure, Web Scraping, Relational Databases, Computer Programming Tools, Automation, Data Analysis Software, Data Science, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      71K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Foundations of Data Science

      Skills you'll gain: Data Storytelling, Data Ethics, Data Presentation, Data Analysis, Data-Driven Decision-Making, Analytical Skills, Data Science, Project Design, Communication, Business, Business Ethics, Business Workflow Analysis, Stakeholder Communications, Professional Networking, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.1K reviews

      Advanced · Course · 1 - 3 Months

    • U

      University of California, Davis

      Learn SQL Basics for Data Science

      Skills you'll gain: Data Governance, Presentations, Data Cleansing, Feature Engineering, SQL, Apache Spark, A/B Testing, Distributed Computing, Descriptive Statistics, Data Lakes, Data Quality, Data Storytelling, Data Analysis, Peer Review, Exploratory Data Analysis, Data Manipulation, Data Pipelines, Databricks, Database Design, Query Languages

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Applied Data Science with Python

      Skills you'll gain: Matplotlib, Network Analysis, Feature Engineering, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Statistical Visualization, Scikit Learn (Machine Learning Library), Network Model, Jupyter, NumPy, Graph Theory, Data Manipulation, Natural Language Processing, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      34K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U
      I
      I

      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

    • I

      IBM

      Applied Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Plotly, Data Wrangling, Data Visualization, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Jupyter, Matplotlib, Data Analysis, Pandas (Python Package), Data Manipulation, Seaborn, Data Import/Export, Predictive Modeling, Web Scraping, Automation, Data Science, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      58K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      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

    • I

      IBM

      IBM Data Warehouse Engineer

      Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store, IBM DB2, Dashboard, Relational Databases, File Management, Star Schema

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    Data Security learners also search

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    1…678…656

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

    • IBM Data Analytics with Excel and R: IBM
    • Foundations of Cybersecurity: Google
    • Excel Skills for Data Analytics and Visualization: Macquarie University
    • Tools for Data Science: IBM
    • Data Science Fundamentals with Python and SQL: IBM
    • Foundations of Data Science: Google
    • Learn SQL Basics for Data Science: University of California, Davis
    • Applied Data Science with Python: University of Michigan
    • Data Science Foundations: University of London
    • Applied Data Science: IBM

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about 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.‎

    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.‎

    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.‎

    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.‎

    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.‎

    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.‎

    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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