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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 California, Davis

      Health Information Literacy for Data Analytics

      Skills you'll gain: Data Governance, Data Quality, Data Integration, Data Dictionary, Data Validation, Health Informatics, Data Modeling, Extract, Transform, Load, Health Systems, Data Management, Metadata Management, Data Compilation, Health Care, Analytics, Data Mapping, Healthcare Industry Knowledge, Data Analysis, Data Cleansing, Health Information Management, Taxonomy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      270 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      I

      IBM

      Generative AI for Digital Marketing

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Digital Advertising, Email Marketing, OpenAI, Digital Marketing, Marketing Automation, AI Personalization, Marketing Analytics, Advertising Campaigns, Marketing, Marketing Strategies, Content Creation, Keyword Research, Search Engine Optimization, Large Language Modeling, Artificial Intelligence, Copywriting, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.6K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Getting Started in Google Analytics

      Skills you'll gain: Google Analytics, Web Analytics, Content Performance Analysis, Marketing Analytics, Dashboard, User Accounts

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.5K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of California, Irvine

      Project Management Principles and Practices

      Skills you'll gain: Cost Estimation, Stakeholder Management, Project Risk Management, Project Controls, Project Schedules, Work Breakdown Structure, Project Performance, Estimation, Conflict Management, Quality Management, Change Control, Project Management, Timelines, Milestones (Project Management), Project Planning, Peer Review, Budgeting, Scheduling, Project Management Life Cycle, Risk Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      IT Fundamentals for Cybersecurity

      Skills you'll gain: IT Service Management, Cloud Computing, Information Technology Infrastructure Library, Malware Protection, Identity and Access Management, Linux, Incident Response, Networking Hardware, TCP/IP, Cybersecurity, Linux Administration, Network Security, Network Protocols, Computer Security Incident Management, Cloud Security, Operating Systems, Endpoint Detection and Response, Cyber Risk, Data Ethics, Cyber Governance

      4.6
      Rating, 4.6 out of 5 stars
      ·
      22K reviews

      Beginner · Specialization · 3 - 6 Months

    • V

      Vanderbilt University

      Generative AI Leadership & Strategy

      Skills you'll gain: Prompt Engineering, ChatGPT, Ideation, Verification And Validation, Data Validation, Succession Planning, Productivity, Business Writing, Generative AI, Leadership, Meeting Facilitation, Organizational Leadership, Artificial Intelligence, Large Language Modeling, Business Leadership, Proposal Writing, Communication, Risk Management Framework, Creative Thinking, Human Resource Strategy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.5K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      V

      Vanderbilt University

      Generative AI SQL Database Specialist with ChatGPT

      Skills you'll gain: Prompt Engineering, ChatGPT, Database Design, Productivity, Data Migration, Generative AI, Software Documentation, SQL, Dashboard, Artificial Intelligence, Database Management, Data Visualization, Large Language Modeling, Gap Analysis, Database Architecture and Administration, Technical Design, Data Storytelling, Data Analysis, Debugging, Data-Driven Decision-Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.9K reviews

      Intermediate · Specialization · 1 - 3 Months

    • J

      Johns Hopkins University

      Health Informatics

      Skills you'll gain: Health Informatics, Health Technology, Change Management, Vendor Management, Health Policy, Health Care, Process Improvement, Workflow Management, Health Care Administration, Healthcare Industry Knowledge, Health Information Management, Clinical Leadership, Organizational Change, Decision Support Systems, Solution Design, IT Management, Clinical Data Management, Health Systems, Project Management, Databases

      4.4
      Rating, 4.4 out of 5 stars
      ·
      901 reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      IBM Applied DevOps Engineering

      Skills you'll gain: CI/CD, Istio, Open Web Application Security Project (OWASP), Continuous Integration, Agile Software Development, Kubernetes, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, DevOps, Code Coverage, Cloud-Native Computing, OpenShift, Cloud Applications, Containerization, Agile Methodology, Secure Coding, Grafana, System Monitoring

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.2K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • G

      Google

      System Administration and IT Infrastructure Services

      Skills you'll gain: Systems Administration, Cloud Infrastructure, IT Infrastructure, Lightweight Directory Access Protocols, Active Directory, Disaster Recovery, Server Administration, Data Storage Technologies, Cloud Computing, Servers, System Configuration, Technical Support and Services, Virtualization, User Accounts

      4.8
      Rating, 4.8 out of 5 stars
      ·
      26K reviews

      Beginner · Course · 1 - 3 Months

    • D
      U

      Multiple educators

      Object Oriented Programming in Java

      Skills you'll gain: Unit Testing, Data Structures, Event-Driven Programming, Interactive Data Visualization, Java, Object Oriented Programming (OOP), Development Testing, User Interface (UI), Debugging, Java Programming, Software Testing, Computer Programming, Software Engineering, Algorithms, Performance Tuning, Encryption, Programming Principles, Data Analysis, Statistical Analysis, Software Design

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Agile Project Management

      Skills you'll gain: Agile Project Management, Backlogs, Agile Software Development, Agile Methodology, User Story, Sprint Planning, Scaled Agile Framework, Product Roadmaps, Sprint Retrospectives, Employee Coaching, Kanban Principles, Team Management, Waterfall Methodology, Prioritization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      14K reviews

      Beginner · Course · 1 - 4 Weeks

    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…282930…834

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

    • Health Information Literacy for Data Analytics: University of California, Davis
    • Generative AI for Digital Marketing: IBM
    • Getting Started in Google Analytics: Coursera Project Network
    • Project Management Principles and Practices: University of California, Irvine
    • IT Fundamentals for Cybersecurity: IBM
    • Generative AI Leadership & Strategy: Vanderbilt University
    • Generative AI SQL Database Specialist with ChatGPT: Vanderbilt University
    • Health Informatics: Johns Hopkins University
    • IBM Applied DevOps Engineering: IBM
    • System Administration and IT Infrastructure Services: Google

    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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