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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

    • M

      Microsoft

      Microsoft AI & ML Engineering

      Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Cloud Infrastructure, Generative AI Agents, Applied Machine Learning, Reinforcement Learning, Data Ethics, Prompt Engineering, Data Processing, Artificial Intelligence, Application Deployment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      130 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • U

      University of California, Davis

      JavaScript for Beginners

      Skills you'll gain: jQuery, Javascript and jQuery, Ajax, Javascript, Data Validation, UI Components, HTML and CSS, Scripting, JSON, Scripting Languages, JavaScript Frameworks, Web Applications, Event-Driven Programming, Web Development Tools, Web Development, Game Design, Application Development, Application Programming Interface (API), Object Oriented Programming (OOP), Animations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      ChatGPT for Beginners: Save time with Microsoft Excel

      Skills you'll gain: Microsoft Excel, ChatGPT, Excel Formulas, Text Mining, Data Cleansing, Data Manipulation, Data Analysis Software, Unstructured Data, Generative AI, Prompt Engineering

      4.7
      Rating, 4.7 out of 5 stars
      ·
      293 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Colorado Boulder

      Semiconductor Devices

      Skills you'll gain: Semiconductors, Electrical Engineering, Electronic Components, Power Electronics, Electronic Systems, Electronics, Physics, Electronics Engineering, Differential Equations, Applied Mathematics

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      600 reviews

      Advanced · Specialization · 1 - 3 Months

    • D

      Duke University

      Entrepreneurial Finance: Strategy and Innovation

      Skills you'll gain: Financial Modeling, Blockchain, FinTech, Entrepreneurial Finance, Financial Market, Business Valuation, Risk Management, Excel Formulas, Risk Analysis, Emerging Technologies, Cryptography, Fundraising and Crowdsourcing, Financial Analysis, Market Data, Equities, R Programming, Investments, Cryptographic Protocols, Private Equity, Financial Regulation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.4K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Colorado System

      Introduction to Clinical Data Science

      Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Clinical Research, R Programming, Google Cloud Platform, Data Ethics, Data Science, Health Informatics, Data Processing, Electronic Medical Record, Information Privacy, Health Care Procedure and Regulation, Data Manipulation, SQL, Data Access

      4.5
      Rating, 4.5 out of 5 stars
      ·
      412 reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Michigan State University

      Become a Journalist: Report the News!

      Skills you'll gain: Interviewing Skills, Journalism, Media and Communications, Multimedia, Electronic Media, Report Writing, Investigation, Research, Storytelling, Peer Review, Content Creation, Ethical Standards And Conduct, International Relations, Data Collection, Oral Expression, Rapport Building, Photo/Video Production and Technology, Blogs, Photography, Writing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of California, Irvine

      The Art of Negotiation

      Skills you'll gain: Negotiation, Emotional Intelligence, Relationship Building, Conflict Management, Communication, Interpersonal Communications, Leadership, Empowerment, Influencing, Assertiveness, Empathy, Trustworthiness, Active Listening, Adaptability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Zurich

      An Intuitive Introduction to Probability

      Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Descriptive Statistics, Applied Mathematics, Statistical Methods, Risk Analysis, Finance

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 3 Months

    • I

      Imperial College London

      Digital Health

      Skills you'll gain: Health Technology, Data Visualization Software, Telehealth, Agile Methodology, Health Disparities, Health Informatics, Health Care, Health Care Procedure and Regulation, Health Systems, Electronic Medical Record, Health Information Management, Interoperability, Public Health, Epidemiology, Tableau Software, Digital Transformation, User Centered Design, Technology Strategies, Big Data, Analytics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      287 reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of Maryland, College Park

      Framework for Data Collection and Analysis

      Skills you'll gain: Surveys, Research Methodologies, Data Collection, Research Design, Data Quality, Data Analysis, Data Validation, Sampling (Statistics), Big Data, Statistical Methods

      4.2
      Rating, 4.2 out of 5 stars
      ·
      763 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      Y

      Yale University

      Narrative Economics

      Skills you'll gain: Behavioral Economics, Storytelling, Data Storytelling, Economics, Economic Development, Financial Forecasting, Socioeconomics, Forecasting, Social Studies, Consumer Behaviour, Analysis, Complex Problem Solving

      4.8
      Rating, 4.8 out of 5 stars
      ·
      731 reviews

      Beginner · Course · 1 - 4 Weeks

    Applied Data Science learners also search

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

    • Microsoft AI & ML Engineering: Microsoft
    • JavaScript for Beginners: University of California, Davis
    • ChatGPT for Beginners: Save time with Microsoft Excel: Coursera Project Network
    • Semiconductor Devices: University of Colorado Boulder
    • Entrepreneurial Finance: Strategy and Innovation: Duke University
    • Introduction to Clinical Data Science: University of Colorado System
    • Become a Journalist: Report the News!: Michigan State University
    • The Art of Negotiation: University of California, Irvine
    • An Intuitive Introduction to Probability: University of Zurich
    • Digital Health: 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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