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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

    • M

      Microsoft

      Data Modeling in Power BI

      Skills you'll gain: Data Analysis Expressions (DAX), Data Modeling, Star Schema, Power BI, Database Design, Data Transformation, Time Series Analysis and Forecasting, Performance Tuning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      687 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Georgia Institute of Technology

      Material Behavior

      Skills you'll gain: Chemistry, Structural Analysis, Mechanical Engineering, Chemical Engineering, Physical Science, Engineering, Physics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The University of Chicago

      Global Warming I: The Science and Modeling of Climate Change

      Skills you'll gain: Mitigation, Environment, Physics, Mathematical Modeling, Environmental Monitoring, Systems Thinking, Environmental Science, Simulations, Biology, Economics, Energy and Utilities, Chemistry, Data Collection

      4.6
      Rating, 4.6 out of 5 stars
      ·
      451 reviews

      Mixed · Course · 1 - 3 Months

    • G

      Google Cloud

      Architecting with Google Compute Engine

      Skills you'll gain: Cloud Infrastructure, Google Cloud Platform, Identity and Access Management, Prompt Engineering, Kubernetes, Application Deployment, Cloud Storage, Infrastructure As A Service (IaaS), Containerization, Cloud Computing, CI/CD, Cloud Computing Architecture, Cloud Security, Cloud Services, Load Balancing, Service Level Agreement, Infrastructure as Code (IaC), Virtual Machines, Microservices, Service Level

      4.7
      Rating, 4.7 out of 5 stars
      ·
      58K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Copenhagen

      Transformation of the Global Food System

      Skills you'll gain: Waste Minimization, Corporate Sustainability, Supply Chain, Systems Thinking, Environmental Resource Management, Environment, Environmental Science, Innovation, Nutrition and Diet, Public Policies, Small Business Accounting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      985 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      S

      Shanghai Jiao Tong University

      Fundamentals of Materials Science

      Skills you'll gain: Engineering, Chemistry, Physics, Manufacturing Processes, Physical Science, Semiconductors, Thermal Management, Mechanics, Failure Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      183 reviews

      Intermediate · Course · 3 - 6 Months

    • U

      University of Colorado Boulder

      Data Science Foundations: Statistical Inference

      Skills you'll gain: Statistical Hypothesis Testing, Probability, Probability & Statistics, Statistical Inference, Statistical Methods, Probability Distribution, Statistics, Bayesian Statistics, Statistical Modeling, Data Science, Sampling (Statistics), Statistical Analysis, Data Ethics, Quantitative Research

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      322 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Virginia

      How Things Work: An Introduction to Physics

      Skills you'll gain: Mechanics, Torque (Physics), Physics, Energy and Utilities, Experimentation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3K reviews

      Intermediate · Course · 1 - 3 Months

    • V

      Vanderbilt University

      ChatGPT Advanced Data Analysis

      Skills you'll gain: Prompt Engineering, Data Presentation, ChatGPT, Document Management, Artificial Intelligence, Microsoft Excel, Problem Solving, Data Analysis, Generative AI, Information Management, File Management, Creativity, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      757 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google

      Crash Course on Python

      Skills you'll gain: Programming Principles, Scripting, Python Programming, Computer Programming, Computational Thinking, Algorithms, Data Structures, Integrated Development Environments, Debugging, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      39K reviews

      Beginner · Course · 1 - 3 Months

    • A

      Amazon Web Services

      Getting Started with Data Analytics on AWS

      Skills you'll gain: Descriptive Analytics, Analytics, Data Analysis, Dashboard, Data Literacy, AWS Identity and Access Management (IAM), Data Visualization, Amazon Web Services, Big Data, Amazon S3, Business Intelligence, Cloud Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      887 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Designing Effective Science Communication

      Skills you'll gain: Oral Expression, Human Learning, Education Software and Technology, Technical Communication, Education and Training, Writing, Learning Theory, Community Outreach, Pedagogy, Research, Technical Writing, Scientific Methods, Media and Communications, Science and Research, Persuasive Communication, Interviewing Skills, Photography, Infographics, Storytelling, Psychology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      117 reviews

      Beginner · Course · 1 - 3 Months

    Applied Data Science learners also search

    Data Science
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    1…181920…834

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

    • Data Modeling in Power BI: Microsoft
    • Material Behavior: Georgia Institute of Technology
    • Global Warming I: The Science and Modeling of Climate Change: The University of Chicago
    • Architecting with Google Compute Engine: Google Cloud
    • Transformation of the Global Food System: University of Copenhagen
    • Fundamentals of Materials Science: Shanghai Jiao Tong University
    • Data Science Foundations: Statistical Inference: University of Colorado Boulder
    • How Things Work: An Introduction to Physics: University of Virginia
    • ChatGPT Advanced Data Analysis: Vanderbilt University
    • Crash Course on Python: 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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