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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

    • N

      New York Institute of Finance

      Reinforcement Learning for Trading Strategies

      Skills you'll gain: Reinforcement Learning, Financial Trading, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Software, Applied Machine Learning, Markov Model, Machine Learning, Financial Market, Time Series Analysis and Forecasting

      3.5
      Rating, 3.5 out of 5 stars
      ·
      239 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Use Canva to Create Social Media Visuals for Business

      Skills you'll gain: Social Media Content, Social Media, Facebook, Content Creation, Marketing Materials, Social Media Marketing, Instagram, Data Visualization, Digital Publishing, Brand Management

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.3K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • B

      Board Infinity

      Fundamentals of Java Programming

      Skills you'll gain: Eclipse (Software), Object Oriented Programming (OOP), Java Programming, Object Oriented Design, Software Development Tools, Java, Integrated Development Environments, Development Environment, Computer Programming, Programming Principles, Data Structures, Virtual Machines

      4.4
      Rating, 4.4 out of 5 stars
      ·
      501 reviews

      Beginner · Course · 1 - 4 Weeks

    • V

      Vanderbilt University

      Android App Development

      Skills you'll gain: Git (Version Control System), JUnit, Android Studio, Android Development, Unit Testing, Version Control, Maintainability, Software Design Patterns, Test Automation, Object Oriented Programming (OOP), Integration Testing, Test Driven Development (TDD), Mobile Development, Development Testing, Software Testing, Testability, Software Engineering, Java Programming, Software Design, User Interface (UI) Design

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Michigan State University

      Photography Techniques: Light, Content, and Sharing

      Skills you'll gain: Photography, Photo Editing, Peer Review, Color Theory, Storytelling, Creativity, Information Privacy, Web Design and Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • D

      Duke University

      Writing, Running, and Fixing Code in C

      Skills you'll gain: Debugging, Software Testing, Program Development, Pseudocode, Simulations, Computer Programming, Algorithms, Development Environment, C (Programming Language), Command-Line Interface

      4.3
      Rating, 4.3 out of 5 stars
      ·
      802 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Maryland, College Park

      Hardware Security

      Skills you'll gain: Security Engineering, Computer Hardware, Hardware Architecture, Threat Modeling, Threat Detection, Cybersecurity, Application Specific Integrated Circuits, Cryptography, Encryption, Emerging Technologies, Authentications, System Design and Implementation, Computational Logic

      4.3
      Rating, 4.3 out of 5 stars
      ·
      686 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Introduction to Machine Learning: Supervised Learning

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Exploratory Data Analysis, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Data Science, Random Forest Algorithm, Python Programming, Classification And Regression Tree (CART), NumPy, Regression Analysis, Data Analysis, Feature Engineering, Statistical Analysis, Performance Tuning

      Build toward a degree

      3.4
      Rating, 3.4 out of 5 stars
      ·
      75 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Princeton University

      Computer Architecture

      Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Computer Systems, Computer Engineering, Distributed Computing, Operating Systems, Performance Tuning, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Advanced · Course · 3 - 6 Months

    • Status: Free
      Free
      A

      American Museum of Natural History

      Our Earth's Future

      Skills you'll gain: Social Sciences, Environmental Issue, Socioeconomics, Economics, Policy, and Social Studies, Mitigation, Environment, Scientific Methods, Environmental Science, Physical Science, Natural Resource Management, Anthropology, Water Resources, Scientific Visualization, Mathematical Modeling, Simulation and Simulation Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      807 reviews

      Mixed · Course · 1 - 3 Months

    • U

      Universidad de los Andes

      Fundamentos de estadística aplicada

      Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Data Analysis, Regression Analysis, Sampling (Statistics), Statistical Analysis, Probability & Statistics, Probability Distribution, Applied Mathematics, Statistical Inference

      4.5
      Rating, 4.5 out of 5 stars
      ·
      134 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Building Resilient Streaming Analytics Systems on Google Cloud

      Skills you'll gain: Real Time Data, Data Pipelines, Google Cloud Platform, Data Processing, Big Data, Analytics, SQL, Data Transformation, Performance Tuning, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 3 Months

    Applied Data Science learners also search

    Data Science
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    Data
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    1…134135136…834

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

    • Reinforcement Learning for Trading Strategies: New York Institute of Finance
    • Use Canva to Create Social Media Visuals for Business: Coursera Project Network
    • Fundamentals of Java Programming: Board Infinity
    • Android App Development: Vanderbilt University
    • Photography Techniques: Light, Content, and Sharing: Michigan State University
    • Writing, Running, and Fixing Code in C: Duke University
    • Hardware Security: University of Maryland, College Park
    • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
    • Computer Architecture: Princeton University
    • Our Earth's Future: American Museum of Natural History

    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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