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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: Free
      Free
      Y

      Yale University

      Financial Markets

      Skills you'll gain: Investment Banking, Risk Management, Financial Market, Financial Regulation, Financial Services, Finance, Business Risk Management, Securities (Finance), Financial Policy, Enterprise Risk Management (ERM), Capital Markets, Behavioral Economics, Banking, Corporate Finance, Governance, Investments, Insurance, Underwriting, Derivatives, Market Dynamics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      31K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      V

      Vanderbilt University

      AI Agents in Java with Generative AI

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Productivity, Java, Agentic systems, OpenAI, Generative AI, Artificial Intelligence, Large Language Modeling, Software Design, Creative Thinking, Ingenuity, Brainstorming, Software Architecture, Software Development Tools, Secure Coding, Application Development, Business Logic, Systems Integration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • 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
      ·
      784 reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      Dartmouth College

      Introduction to Environmental Science

      Skills you'll gain: Environment, Environmental Issue, Environmental Science, Demography, Energy and Utilities, Water Resources, Environmental Policy, Biology, Environment and Resource Management, Environmental Engineering, Land Management, Nutrition and Diet, Electric Power Systems, Nutrition Education, Systems Thinking, Natural Resource Management, Social Studies, Physics, Human Development, Physical Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      350 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free
      Free
      G

      Georgia Institute of Technology

      Material Processing

      Skills you'll gain: Chemistry, Chemical Engineering, Manufacturing Processes, Mechanical Engineering, Engineering, Process Engineering, Physical Science, Semiconductors

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: AI skills
      AI skills
      G

      Google Cloud

      Google Cloud Data Analytics

      Skills you'll gain: Data Storytelling, Data Governance, Data Presentation, Data Management, Data Pipelines, Data Visualization Software, Dashboard, Data Lakes, Data Architecture, Cloud Infrastructure, Generative AI, Data Infrastructure, Data Cleansing, Data Transformation, Cloud Computing, Data Access, Data Storage Technologies, Data Ethics, Data Analysis, Analytics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      164 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • M

      Meta

      Coding Interview Preparation

      Skills you'll gain: Data Structures, Algorithms, Software Visualization, Pseudocode, Programming Principles, Computational Thinking, Computer Science, Technical Communication, Computational Logic, Program Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      684 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      IBM Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Generative AI, Dimensionality Reduction, Reinforcement Learning, Deep Learning, Data Analysis, Regression Analysis, Statistical Inference, Applied Machine Learning, Machine Learning Algorithms, Data Processing, Machine Learning, Statistical Analysis, Data Access, Anomaly Detection, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library)

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Data Visualization with R

      Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Dashboard, Ggplot2, Plot (Graphics), Shiny (R Package), R Programming, Leaflet (Software), Graphing, Scatter Plots, Box Plots, Spatial Data Analysis, Histogram, UI Components, User Interface (UI)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      260 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Siemens

      Applied Computational Fluid Dynamics

      Skills you'll gain: Engineering Analysis, Thermal Management, Hydraulics, Mechanical Engineering, Simulations, Numerical Analysis, Engineering Calculations, Mathematical Modeling, Engineering, Chemical Engineering, Civil Engineering, Physics, Test Case

      4.7
      Rating, 4.7 out of 5 stars
      ·
      159 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Washington

      Data Science at Scale

      Skills you'll gain: Feature Engineering, Unsupervised Learning, Data Ethics, Statistical Visualization, Data Storytelling, Big Data, Relational Databases, Supervised Learning, Database Systems, Dataflow, Data Visualization Software, Data Science, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Data Governance, Data Analysis, Predictive Modeling, Data Processing, Data Wrangling

      4.2
      Rating, 4.2 out of 5 stars
      ·
      915 reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Sequence Models

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Tensorflow, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Deep Learning, Applied Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      31K reviews

      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

    • Financial Markets: Yale University
    • AI Agents in Java with Generative AI: Vanderbilt University
    • AI Product Management: Duke University
    • Introduction to Environmental Science: Dartmouth College
    • Material Processing: Georgia Institute of Technology
    • Google Cloud Data Analytics: Google Cloud
    • Coding Interview Preparation: Meta
    • IBM Machine Learning: IBM
    • Data Visualization with R: IBM
    • Applied Computational Fluid Dynamics: Siemens

    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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