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    • Applied Data Science

    Applied Data Science Courses Online

    Master applied data science techniques for real-world problem-solving. Learn data manipulation, visualization, and machine learning using Python.

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    Explore the Applied Data Science Course Catalog

    • Status: New
      New
      C

      Coursera Instructor Network

      Cybersecurity Strategies for AI-Driven Organizations

      Skills you'll gain: Threat Modeling, MITRE ATT&CK Framework, Cyber Security Strategy, Data Ethics, Cybersecurity, Penetration Testing, Threat Detection, Vulnerability Assessments, Artificial Intelligence, Data Security, Incident Response, Tensorflow, Risk Management Framework, Data Integrity

      Intermediate · Course · 1 - 4 Weeks

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

      Packt

      Foundations of Modern C++

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Development Environment, Computer Programming, Microsoft Visual Studio, Apple Xcode, Performance Tuning, Data Structures, Maintainability, Debugging

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Developing RAG Apps with LlamaIndex and JS

      Skills you'll gain: Full-Stack Web Development, JavaScript Frameworks, Node.JS, Application Development, Data Maintenance, Restful API, Web Applications, Development Environment, Large Language Modeling, OpenAI, Generative AI, API Design, Application Deployment, Data Storage, Artificial Intelligence

      Intermediate · Course · 1 - 3 Months

    • U

      Università di Napoli Federico II

      Global Politics

      Skills you'll gain: International Relations, Political Sciences, Social Sciences, World History, Governance, Cultural Diversity, Research Methodologies, Economics, Environment and Resource Management, Security Strategy

      4.4
      Rating, 4.4 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      C

      Clemson University

      Database Management Systems

      Skills you'll gain: Database Design, Database Management Systems, MySQL, Relational Databases, Databases, Data Modeling, Database Architecture and Administration, SQL, NoSQL, Query Languages

      Intermediate · Course · 3 - 6 Months

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

      Packt

      Advanced Development, Deployment, and Cloud Integration

      Skills you'll gain: ASP.NET, Application Deployment, Microsoft Azure, Cloud Applications, Software Architecture, Scalability, Authentications, User Interface (UI), .NET Framework, Software Design, Maintainability, UI/UX Strategy, Model View Controller, Secure Coding, Application Servers, Microsoft SQL Servers, Database Development, Debugging, Data Validation

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      B

      Board Infinity

      Advanced Hibernate Techniques

      Skills you'll gain: Model View Controller, Spring Framework, Java Platform Enterprise Edition (J2EE), Web Applications, Software Architecture, Enterprise Application Management, Data Validation, Data Management

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      AWS: Databases and Migration

      Skills you'll gain: Amazon DynamoDB, Amazon Redshift, Database Management, Operational Databases, Transaction Processing, Data Migration, NoSQL, Redis, Relational Databases, Data Warehousing, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      Introduction to Data Protection and Privacy

      Skills you'll gain: General Data Protection Regulation (GDPR), Personally Identifiable Information, Governance Risk Management and Compliance, Information Privacy, Data Governance, Data Security, Cybersecurity, Data Management, Data Storage, Cyber Risk, Data Processing, Data Access, Encryption

      4.7
      Rating, 4.7 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Meta

      Meta iOS UI Development

      Skills you'll gain: iOS Development, Apple iOS, Apple Xcode, User Interface (UI), Mobile Development, Swift Programming, Unit Testing, User Interface (UI) Design, UI Components, Mobile Development Tools, Objective-C (Programming Language), Application Development, Data Structures, Programming Principles, Development Testing, Software Testing, Object Oriented Programming (OOP), Software Design Patterns, Integrated Development Environments, Development Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      M

      Macquarie University

      Mobile Security

      Skills you'll gain: Mobile Security, Android (Operating System), Malware Protection, Apple iOS, Application Security, File Systems, Incident Response, Authentications, Data Integrity, Vulnerability Assessments, Data Analysis Software, Encryption

      Beginner · Course · 1 - 3 Months

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

      Illinois Tech

      Building and Working with Relational Databases

      Skills you'll gain: Database Design, Relational Databases, Database Application, Database Systems, Database Management, Database Theory, Databases, Database Development, SQL, Database Management Systems, MySQL, Transaction Processing, Stored Procedure, Data Modeling, Unified Modeling Language, Database Architecture and Administration, Data Access, Data Integrity, Query Languages, Data Manipulation

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      59 reviews

      Beginner · Specialization · 3 - 6 Months

    Applied Data Science learners also search

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

    • Cybersecurity Strategies for AI-Driven Organizations: Coursera Instructor Network
    • Foundations of Modern C++: Packt
    • Developing RAG Apps with LlamaIndex and JS: Packt
    • Global Politics: Università di Napoli Federico II
    • Database Management Systems: Clemson University
    • Advanced Development, Deployment, and Cloud Integration: Packt
    • Advanced Hibernate Techniques: Board Infinity
    • AWS: Databases and Migration: Whizlabs
    • Introduction to Data Protection and Privacy: Coursera Instructor Network
    • Meta iOS UI Development: Meta

    Frequently Asked Questions about Applied Data Science

    People who are best suited for working in data science have a strong mix of technical skills and complex problem-solving skills. Beyond the job-related skills, people should have strong critical reasoning abilities, which are needed to help them analyze data and solve problems. Creativity, attention to detail, and strong communication skills allow data scientists to translate their analytical findings into actions that business leaders and decision-makers can take. Because this field continues evolving, people in data science should also be enthusiastic about learning new things and willing to constantly expand their skills.‎

    Are you passionate about using data to solve complex problems? Do you enjoy working in both the business and technology fields? Do you have a thirst for learning new things? If you can answer yes to any or all of those questions, learning data science may well be an ideal course for you. Additionally, if you're looking for a field that's in high demand and applicable to a variety of potential positions, it's hard to top data science. It's among the fastest-growing fields, and by 2026 it's predicted to create more than 11 million new jobs, according to the Bureau of Labor Statistics.‎

    Data science opens up a variety of potential career paths, including data scientist, machine learning engineer, data architect, and business intelligence developer. Most people who work in data science start with entry-level jobs like junior data scientist or data analyst after earning a bachelor's degree in computer science or a related field. Some people work their way up from entry-level jobs. Others pursue certifications or trainings specific to systems. To access the largest pool of opportunities, you might want to get a master's or doctoral degree in information technology or computer science.‎

    Data scientists work in a variety of industries, including big tech companies like Google and IBM, financial organizations, pharmaceutical companies, retailers, and even fashion houses. Data scientists work on many different types of jobs, which makes their work valuable to many different types of industries. For example, data scientists might work in fraud identification, market analysis, or manufacturing analysis. Or they might work on projects that task them with analyzing large amounts of data and putting it into reports and dashboards to help stakeholders better understand the significance. Data science can be helpful for marketing, sales, and so much more.‎

    Online Applied Data Science courses offer a convenient and flexible way to enhance your existing knowledge or learn new Applied Data Science skills. With a wide range of Applied Data Science classes, you can conveniently learn at your own pace to advance your Applied Data Science career skills.‎

    When looking to enhance your workforce's skills in Applied Data Science, 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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