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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

    • U

      University of Alberta

      Fundamentals of Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Markov Model, Algorithms, Probability Distribution

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

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Introduction to Python

      Skills you'll gain: Data Science, Web Development, Python Programming, Programming Principles, Artificial Intelligence, Computational Thinking, Computer Programming, Application Development, Scientific Visualization

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2.2K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of California San Diego

      Drug Discovery

      Skills you'll gain: Pharmaceuticals, Pharmacology, Clinical Research, New Product Development, Medical Science and Research, Regulatory Affairs, Molecular Biology, Market Opportunities, Innovation, Chemistry

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.8K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      The Science of Success: What Researchers Know that You Should Know

      Skills you'll gain: Growth Mindedness, Action Oriented, Personal Development, Resilience, Conscientiousness, Optimism, Goal Setting, Open Mindset, Self-Motivation, Self-Awareness, Relationship Building, Positivity, Motivational Skills, Persistence, Social Skills, Lifelong Learning, Prioritization, Planning

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

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Davis

      Google SEO Fundamentals

      Skills you'll gain: Search Engine Optimization, Web Analytics and SEO, Keyword Research, Content Strategy, Digital Marketing, Content Performance Analysis, Content Creation, Artificial Intelligence, Information Architecture, User Experience

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Course · 1 - 4 Weeks

    • S

      SAP

      SAP Professional Fundamentals

      Skills you'll gain: Consulting, Relationship Management, Business Consulting, Product Strategy, SAP Applications, Technical Consulting, Relationship Building, Project Management, Project Management Life Cycle, Consultative Approaches, Project Implementation, Agile Methodology, Waterfall Methodology, Solution Delivery, Enterprise Resource Planning, Systems Thinking, User Acceptance Testing (UAT), Design Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      881 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      Introduction to CSS3

      Skills you'll gain: Cascading Style Sheets (CSS), Web Content Accessibility Guidelines, HTML and CSS, Web Design, Hypertext Markup Language (HTML), Responsive Web Design, Usability, Browser Compatibility, Javascript, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9.6K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Build a Full Website using WordPress

      Skills you'll gain: WordPress, Content Management Systems, Web Content, Web Design and Development, Web Design, Blogs, Content Development and Management, Social Media

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.2K reviews

      Advanced · Guided Project · Less Than 2 Hours

    • S

      Stanford University

      Fundamentals of Machine Learning for Healthcare

      Skills you'll gain: Healthcare Ethics, Data Ethics, Statistical Machine Learning, Applied Machine Learning, Machine Learning, Artificial Neural Networks, Healthcare Industry Knowledge, Health Care, Health Technology, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Reinforcement Learning, Health Informatics, Deep Learning, Data Processing, Image Analysis, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      550 reviews

      Beginner · Course · 1 - 3 Months

    • L

      LearnQuest

      Cloud Computing Basics (Cloud 101)

      Skills you'll gain: Cloud Computing, Cloud Services, Cloud Technologies, Cloud Infrastructure, Cloud Computing Architecture, Public Cloud, Infrastructure As A Service (IaaS), Serverless Computing, Amazon Web Services, Virtual Machines, Hybrid Cloud Computing, Software As A Service, Private Cloud, Microsoft Azure, Platform As A Service (PaaS), Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.5K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Minnesota

      Information​ ​Systems

      Skills you'll gain: Enterprise Resource Planning, Business Systems Analysis, Systems Analysis, Requirements Analysis, Cybersecurity, Business Requirements, Business Systems, Cloud Computing, Cloud Services, IT Management, Change Management, Information Technology, Organizational Change, Technology Strategies, Process Flow Diagrams, System Implementation, User Requirements Documents, Data Modeling, Enterprise Architecture, Portfolio Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • W

      Workday

      Workday Basics Series

      Skills you'll gain: Workday (Software), Business Process, Workflow Management, Business Reporting, System Configuration, Role-Based Access Control (RBAC), Enterprise Security, Organizational Structure, Data Access, Multi-Tenant Cloud Environments

      4.8
      Rating, 4.8 out of 5 stars
      ·
      269 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

    • Fundamentals of Reinforcement Learning: University of Alberta
    • Introduction to Python: Coursera Project Network
    • Drug Discovery : University of California San Diego
    • The Science of Success: What Researchers Know that You Should Know: University of Michigan
    • Google SEO Fundamentals: University of California, Davis
    • SAP Professional Fundamentals: SAP
    • Introduction to CSS3: University of Michigan
    • Build a Full Website using WordPress: Coursera Project Network
    • Fundamentals of Machine Learning for Healthcare: Stanford University
    • Cloud Computing Basics (Cloud 101): LearnQuest

    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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