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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
      Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Object-Oriented & Generic Programming in C++

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Software Design Patterns, Data Structures, Algorithms, File Systems, Debugging, Maintainability

      Intermediate · Course · 1 - 3 Months

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

      Packt

      Modern JavaScript Tooling, Modules, and Backend Integration

      Skills you'll gain: Jest (JavaScript Testing Framework), Node.JS, Full-Stack Web Development, Webpack, Application Deployment, Web Development Tools, Unit Testing, Back-End Web Development, Restful API, Application Development, Web Development, MongoDB, Javascript, Front-End Web Development, Data Structures

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      Universidad de los Andes

      Creación XR y Metaversos para todos

      Skills you'll gain: Augmented and Virtual Reality (AR/VR), Prototyping, Augmented Reality, Virtual Reality, Usability Testing, Virtual Environment, Unity Engine, UI/UX Research, Cross Platform Development, C# (Programming Language), Animation and Game Design, Interaction Design, Unreal Engine, 3D Modeling, User Experience, User Interface (UI), Data Structures, Development Environment, Display Devices, Content Creation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      19 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      A

      Alberta Machine Intelligence Institute

      Ethics and Responsible Practices in GenAI

      Skills you'll gain: Data Ethics, Business Ethics, Generative AI, Ethical Standards And Conduct, Artificial Intelligence, Law, Regulation, and Compliance, Regulatory Compliance, Regulatory Requirements, Governance, Information Privacy, Accountability, Social Studies, Data Security

      Beginner · Course · 1 - 4 Weeks

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

      Whizlabs

      AWS: Security and Key Management

      Skills you'll gain: AWS Identity and Access Management (IAM), Identity and Access Management, Cloud Security, Network Security, Threat Detection, Amazon S3, Infrastructure Security, Data Security, Vulnerability Management, Firewall, Key Management, Distributed Denial-Of-Service (DDoS) Attacks, Authorization (Computing), Encryption, Multi-Factor Authentication

      Intermediate · Course · 1 - 4 Weeks

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

      Packt

      Full-Stack Web Development with SvelteKit & Supabase

      Skills you'll gain: UI Components, Full-Stack Web Development, Application Deployment, Database Management, Databases, JavaScript Frameworks, Web Applications, Authentications, Front-End Web Development, Application Development, Back-End Web Development, User Interface (UI), OpenAI, Artificial Intelligence

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      C++ 20 Mastery - Pure and Unfiltered

      Skills you'll gain: C++ (Programming Language), System Programming, Performance Tuning, Algorithms, Debugging, Software Design, Data Structures

      Advanced · Course · 1 - 3 Months

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

      Packt

      .NET 8 Backend Bootcamp – Modulith, DDD & CQRS

      Skills you'll gain: Containerization, Restful API, Microservices, Redis, Authentications, PostgreSQL, OAuth, .NET Framework, Application Programming Interface (API), Object Oriented Design, Software Design Patterns, Software Design, Scalability, Software Architecture, Event-Driven Programming, C# (Programming Language), Middleware, Data Migration, Systems Architecture, Maintainability

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      P

      Packt

      The Ultimate T-SQL And Microsoft SQL Server Bootcamp

      Skills you'll gain: Microsoft SQL Servers, Transact-SQL, SQL, Database Design, Transaction Processing, Stored Procedure, Database Administration, Data Manipulation, Query Languages, Database Management, Databases, Database Architecture and Administration, Relational Databases, Data Integrity

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      C

      Clemson University

      Human-Centered Artificial Intelligence

      Skills you'll gain: Artificial Intelligence, Data Ethics, Human Centered Design, Human Computer Interaction, Human Factors, Generative AI, Machine Learning, Machine Learning Algorithms, Research Methodologies, Artificial Neural Networks, Ethical Standards And Conduct, Qualitative Research, Reinforcement Learning, Algorithms

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Master AWS DynamoDB

      Skills you'll gain: Amazon DynamoDB, Amazon Web Services, NoSQL, Database Management, Database Design, Development Environment, Command-Line Interface, Application Programming Interface (API), Software Development Tools, Performance Tuning, Data Structures, Scalability

      Intermediate · Course · 1 - 3 Months

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

      Packt

      Complete Modern C++ (C++11/14/17)

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Development Environment, Computer Programming, Microsoft Visual Studio, Software Design Patterns, Data Structures, System Programming, Algorithms, File Systems, Performance Tuning, Apple Xcode, Debugging, Maintainability, File Management

      Intermediate · Specialization · 3 - 6 Months

    Applied Data Science learners also search

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    1…656667…834

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

    • Advanced Object-Oriented & Generic Programming in C++: Packt
    • Modern JavaScript Tooling, Modules, and Backend Integration: Packt
    • Creación XR y Metaversos para todos: Universidad de los Andes
    • Ethics and Responsible Practices in GenAI: Alberta Machine Intelligence Institute
    • AWS: Security and Key Management: Whizlabs
    • Full-Stack Web Development with SvelteKit & Supabase: Packt
    • C++ 20 Mastery - Pure and Unfiltered: Packt
    • .NET 8 Backend Bootcamp – Modulith, DDD & CQRS: Packt
    • The Ultimate T-SQL And Microsoft SQL Server Bootcamp: Packt
    • Human-Centered Artificial Intelligence: Clemson University

    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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