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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
      C

      Coursera Instructor Network

      AI in Supply Chain Forecasting and Risk Management

      Skills you'll gain: Supply Chain Management, Supply Chain Planning, Supply Chain, Inventory Management System, Demand Planning, Materials Management, Forecasting, Customer Demand Planning, Supplier Management, Risk Mitigation, Transportation, Supply Chain, and Logistics, Risk Analysis, Business Risk Management, Automation, Risk Management, Warehouse Management

      Beginner · Course · 1 - 4 Weeks

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

      Google

      Start Writing Prompts like a Pro

      Skills you'll gain: Prompt Engineering, Data Ethics, Generative AI, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      216 reviews

      Beginner · Course · 1 - 4 Weeks

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

      Google

      Introduction to AI

      Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Software, Machine Learning, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      418 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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 Employee Engagement: Driving Real-Time Insights

      Skills you'll gain: Employee Engagement, Drive Engagement, HR Tech, People Analytics, AI Personalization, Generative AI, Employee Surveys, Human Resource Strategy, Employee Retention, Data Ethics, Real Time Data, Human Resources, User Feedback, Continuous Improvement Process

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Compensation: Smarter Pay Equity Analysis

      Skills you'll gain: Compensation Management, Compensation Analysis, Compensation Strategy, People Analytics, Generative AI, Workforce Planning, ChatGPT, Job Evaluation, Business Ethics, Predictive Analytics, Prompt Engineering, Human Resources, Artificial Intelligence, Human Resource Strategy

      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: 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: Free Trial
      Free Trial
      D

      Duke University

      AI Product Management

      Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Data Ethics, Data Management, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Human Centered Design, Machine Learning, Human Factors, Regression Analysis, Technical Management, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Neural Networks, Decision Tree Learning, Data Processing, Personally Identifiable Information

      4.7
      Rating, 4.7 out of 5 stars
      ·
      791 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Compliance Officers: Streamline Regulatory Reports

      Skills you'll gain: Compliance Reporting, Prompt Engineering, Compliance Management, Microsoft Copilot, Generative AI, Regulatory Compliance, Workflow Management, Business Process Automation, Data Validation, Operational Efficiency, Artificial Intelligence, Verification And Validation, Automation

      Intermediate · Course · 1 - 4 Weeks

    • S

      Stanford University

      Introduction to Mathematical Thinking

      Skills you'll gain: Mathematical Theory & Analysis, Mathematics and Mathematical Modeling, Calculus, Deductive Reasoning, Logical Reasoning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.9K reviews

      Intermediate · 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
      ·
      227 reviews

      Beginner · Course · 1 - 4 Weeks

    Applied Data Science learners also search

    Data Science
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    Data
    Beginner Data Science
    Data Science Projects
    Data Analytics
    Advanced Data Science
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    1…484950…834

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

    • AI in Supply Chain Forecasting and Risk Management: Coursera Instructor Network
    • Start Writing Prompts like a Pro: Google
    • Introduction to AI: Google
    • Advanced Prompt Engineering Course: Simplilearn
    • GenAI for Employee Engagement: Driving Real-Time Insights: Coursera Instructor Network
    • GenAI for Compensation: Smarter Pay Equity Analysis: Coursera Instructor Network
    • Build RAG Applications: Get Started: IBM
    • Responsible AI: Transparency & Ethics: Coursera Instructor Network
    • AI Product Management: Duke University
    • GenAI for Compliance Officers: Streamline Regulatory Reports: Coursera Instructor Network

    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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