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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

    • G

      Google

      Google データアナリティクス

      Skills you'll gain: Rmarkdown, Data Presentation, Data Ethics, Data Storytelling, Data Visualization, Data Cleansing, Stakeholder Communications, Analytical Skills, Data-Driven Decision-Making, Data Visualization Software, Data Validation, Dashboard, Ggplot2, Interviewing Skills, Data Access, Spreadsheet Software, Data Analysis, Tableau Software, Data Synthesis, Data Manipulation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      607 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • M

      Microsoft

      Microsoft Azure AI Fundamentals AI-900 Exam Prep

      Skills you'll gain: Anomaly Detection, Image Analysis, Text Mining, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Large Language Modeling, Regression Analysis, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Automation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • N

      Novartis

      Clinical Trials: Good Clinical Practice

      Skills you'll gain: Clinical Research, Clinical Trials, Healthcare Ethics, Patient Education And Counseling, Record Keeping, Medical Science and Research, Regulatory Compliance, Document Management, Medical Privacy, Patient Safety, Risk Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      495 reviews

      Beginner · Specialization · 1 - 3 Months

    • I

      IBM

      Business Intelligence (BI) Essentials

      Skills you'll gain: Business Intelligence, Data-Driven Decision-Making, Data Mining, Business Analytics, Data Analysis, Statistical Visualization, Data Management, Data Collection, Data Warehousing, Data Wrangling, Extract, Transform, Load, Data Visualization Software, Data Transformation, Key Performance Indicators (KPIs)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      297 reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Introducción a la inteligencia artificial

      Skills you'll gain: Bayesian Network, Program Development, Computational Logic, Game Theory, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Computational Thinking, Creativity, Engineering Software, Markov Model, Software Development, Theoretical Computer Science, Generative AI, Decision Support Systems, Applied Machine Learning, Data Ethics, Problem Management, Social Sciences, Bioinformatics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      585 reviews

      Intermediate · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      The Data Science of Health Informatics

      Skills you'll gain: Health Informatics, Health Care, Health Information Management, Databases, Healthcare Industry Knowledge, Clinical Data Management, Electronic Medical Record, Data Mining, Data Analysis, Data Quality, Interoperability, Big Data, Query Languages, Data Integration

      4.6
      Rating, 4.6 out of 5 stars
      ·
      214 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Hands-on Introduction to Linux Commands and Shell Scripting

      Skills you'll gain: Linux Commands, Bash (Scripting Language), Shell Script, File Management, Unix Shell, Linux, File Systems, Unix Commands, Scripting, Linux Servers, Command-Line Interface, Linux Administration, Scripting Languages, Unix, Operating Systems, Network Protocols, OS Process Management, TCP/IP, Network Administration, Automation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado System

      Fundamentals of Network Communication

      Skills you'll gain: Digital Communications, OSI Models, Network Protocols, TCP/IP, Network Routing, Network Architecture, Network Planning And Design, Computer Networking, Network Model, System Programming, Data Integrity

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      Y

      Yale University

      Overcoming Dyslexia

      Skills you'll gain: Disabilities, Special Education, Literacy, Individualized Education Programs (IEP), Mental and Behavioral Health Specialties, Working With Children, Psychological Evaluations, Education Software and Technology, Resilience, Empowerment, Learning Strategies, Law, Regulation, and Compliance, Neurology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      963 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Washington

      Machine Learning: Clustering & Retrieval

      Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Probability Distribution, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of California, Irvine

      The Arduino Platform and C Programming

      Skills you'll gain: Embedded Software, Embedded Systems, Debugging, C (Programming Language), Electronic Hardware, Integrated Development Environments, Electronic Components, Development Environment, Computer Programming Tools, Computer Hardware, Computer Programming, Digital Communications

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • G

      Google

      Automating Real-World Tasks with Python

      Skills you'll gain: Web Services, Python Programming, Restful API, Professional Development, Automation, Scripting, Application Programming Interface (API), Stress Management, JSON, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Beginner · Course · 1 - 3 Months

    Applied Data Science learners also search

    Data Science
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    Data
    Beginner Data Science
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    Data Analytics
    Advanced Data Science
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    1…838485…834

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

    • Google データアナリティクス: Google
    • Microsoft Azure AI Fundamentals AI-900 Exam Prep: Microsoft
    • Clinical Trials: Good Clinical Practice: Novartis
    • Business Intelligence (BI) Essentials: IBM
    • Introducción a la inteligencia artificial: Universidad Nacional Autónoma de México
    • The Data Science of Health Informatics: Johns Hopkins University
    • Hands-on Introduction to Linux Commands and Shell Scripting: IBM
    • Fundamentals of Network Communication: University of Colorado System
    • Overcoming Dyslexia: Yale University
    • Machine Learning: Clustering & Retrieval: University of Washington

    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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