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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: New
      New
      P

      Packt

      Gen AI - RAG Application Development using LlamaIndex

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI Agents, Generative AI, Application Development, Data Storage Technologies, Query Languages, Natural Language Processing, Data Integration, Development Environment

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Build RAG Applications: Get Started

      Skills you'll gain: Generative AI, Artificial Intelligence, Prompt Engineering, Large Language Modeling, Application Development, Application Frameworks, User Interface (UI), Natural Language Processing, Jupyter

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Divide and Conquer, Sorting and Searching, and Randomized Algorithms

      Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Use AI Responsibly

      Skills you'll gain: Data Ethics, Security Awareness, Artificial Intelligence, Diversity Awareness, Risk Management Framework, Ethical Standards And Conduct, Information Privacy, Data Security, Social Sciences

      4.8
      Rating, 4.8 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Georgia Institute of Technology

      Introduction to Electronics

      Skills you'll gain: Electronic Components, Semiconductors, Electronics, Basic Electrical Systems, Electronics Engineering, Engineering Analysis, Schematic Diagrams

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Virginia

      Marketing Analytics

      Skills you'll gain: Marketing Analytics, Marketing Effectiveness, Marketing, Marketing Strategies, Regression Analysis, Data-Driven Decision-Making, Strategic Marketing, Brand Management, Resource Allocation, Customer Insights, Predictive Analytics, Advertising Campaigns, Statistical Analysis, A/B Testing, Consumer Behaviour, Return On Investment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Stay Ahead of the AI Curve

      Skills you'll gain: Artificial Intelligence, Workforce Development, Strategic Thinking, Digital Transformation, Innovation, Generative AI, Emerging Technologies, Business Solutions, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      211 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      Responsible AI: Transparency & Ethics

      Skills you'll gain: Data Ethics, Artificial Intelligence, Compliance Management, Risk Mitigation, Regulatory Compliance, OpenAI, Ethical Standards And Conduct, Predictive Modeling, Business Ethics, Feature Engineering, Machine Learning, Diversity and Inclusion, Prompt Engineering, Exploratory Data Analysis, Auditing, Governance

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Master Retrieval-Augmented Generation (RAG) Systems

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Interactive Data Visualization, Text Mining, Data Processing, Unstructured Data, Scalability

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      S

      Simplilearn

      Advanced Prompt Engineering Course

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, OpenAI, Data Synthesis

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Patient Care Coordinators and Case Management

      Skills you'll gain: Generative AI Agents, ChatGPT, Generative AI, Patient Coordination, Practice Management Software, Care Coordination, Case Management, Health Technology, Technology Roadmaps, Health Care Administration, Medical History Documentation, Prompt Engineering, Health Information Management and Medical Records, Change Control, Business Process Automation, Automation, Software As A Service

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Portfolio Managers: Smarter Asset Allocation

      Skills you'll gain: Portfolio Management, Asset Management, Investment Management, Generative AI, Investments, Prompt Engineering, Wealth Management, Artificial Intelligence, ChatGPT, Regulatory Compliance, Ethical Standards And Conduct, Risk Management, Risk Analysis, Real Time Data

      Intermediate · 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

    • Gen AI - RAG Application Development using LlamaIndex: Packt
    • Build RAG Applications: Get Started: IBM
    • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
    • Use AI Responsibly: Google
    • Introduction to Electronics: Georgia Institute of Technology
    • Marketing Analytics: University of Virginia
    • Stay Ahead of the AI Curve: Google
    • Responsible AI: Transparency & Ethics: Coursera Instructor Network
    • Master Retrieval-Augmented Generation (RAG) Systems: Packt
    • Advanced Prompt Engineering Course: Simplilearn

    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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