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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: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Magnetics for Power Electronic Converters

      Skills you'll gain: Power Electronics, Electrical Engineering, Electronic Systems, Electronic Components, Mathematical Modeling, Engineering Analysis, Technical Design, Engineering Design Process, Engineering Calculations, Matlab

      4.8
      Rating, 4.8 out of 5 stars
      ·
      154 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      Advanced Programming in Kotlin

      Skills you'll gain: Kotlin, Android Development, Android Studio, Unit Testing, Object Oriented Programming (OOP), Mobile Development, Test Driven Development (TDD), Integration Testing, Functional Design, Software Design Patterns, UI Components

      4.7
      Rating, 4.7 out of 5 stars
      ·
      114 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Sustainable Regional Principles, Planning and Transportation

      Skills you'll gain: Transportation Operations, Economic Development, Land Management, Community Development, Geographic Information Systems, Environmental Engineering, Policy Development, Public Policies

      4.5
      Rating, 4.5 out of 5 stars
      ·
      168 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistical Thermodynamics

      Skills you'll gain: Chemical Engineering, Quantitative Research, Chemistry, Thermal Management, Mechanics, Mathematical Software, Engineering Analysis, Numerical Analysis, Engineering Calculations, Statistical Methods, Differential Equations, Physics, Probability Distribution, Mathematical Modeling, Semiconductors, Applied Mathematics, Simulation and Simulation Software, Simulations, Physical Science, Estimation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      L

      LearnKartS

      Ethical Hacking Fundamentals

      Skills you'll gain: Penetration Testing, Cybersecurity, Cyber Attacks, Network Security, Security Testing, Information Systems Security, Cyber Threat Intelligence, Application Security, Security Engineering, Vulnerability Assessments, Network Administration, Data Ethics, Security Awareness, Web Servers, Web Applications

      4.6
      Rating, 4.6 out of 5 stars
      ·
      148 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SAS

      Preparing for the SAS Programming Certification Exam

      Skills you'll gain: Data Manipulation, Data Access, Data Import/Export, SAS (Software), Microsoft Excel, Data Analysis, Statistical Programming, Data Transformation, Descriptive Statistics, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      139 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Software Design Methods and Tools

      Skills you'll gain: Unified Modeling Language, Unit Testing, Software Design, Technical Design, Software Engineering, Software Development Tools, JUnit, Systems Design, Software Testing, Test Automation, Software Development Methodologies, Dataflow, Ethical Standards And Conduct, Conceptual Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      159 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Data Cleaning & Processing with Copilot in Excel

      Skills you'll gain: Data Cleansing, Prompt Engineering, Data Processing, Microsoft Excel, Data Manipulation, Microsoft Copilot, Data Quality, Data Transformation, Data Integrity, Data Validation, Data-Driven Decision-Making, Data Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Object-Oriented Hierarchies in Java

      Skills you'll gain: Java Programming, Java, Object Oriented Programming (OOP), Object Oriented Design, Software Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      201 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Immunology: Innate Immune System

      Skills you'll gain: Infectious Diseases, Microbiology, Molecular, Cellular, and Microbiology, Public Health and Disease Prevention, Environment, Biology, Research, Oncology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      129 reviews

      Intermediate · Course · 1 - 3 Months

    • T

      The University of Sydney

      Ethical Social Media

      Skills you'll gain: Social Media, Social Media Strategy, Social Media Content, Professional Networking, Data Ethics, Analytics, Culture, Drive Engagement, Content Creation, Ethical Standards And Conduct, Research, Information Privacy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      112 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Create Your First Automation Script Using Selenium and Java

      Skills you'll gain: Selenium (Software), Test Automation, Eclipse (Software), Software Testing, UI Components, Integrated Development Environments, Web Applications, Java Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      351 reviews

      Beginner · Guided Project · Less Than 2 Hours

    Applied Data Science learners also search

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    1…229230231…834

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

    • Magnetics for Power Electronic Converters: University of Colorado Boulder
    • Advanced Programming in Kotlin: Meta
    • Sustainable Regional Principles, Planning and Transportation: Johns Hopkins University
    • Statistical Thermodynamics: University of Colorado Boulder
    • Ethical Hacking Fundamentals: LearnKartS
    • Preparing for the SAS Programming Certification Exam : SAS
    • Software Design Methods and Tools: University of Colorado System
    • Data Cleaning & Processing with Copilot in Excel : Microsoft
    • Object-Oriented Hierarchies in Java: LearnQuest
    • Immunology: Innate Immune System: Imperial College London

    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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