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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

      Microsoft Power BI and Power Platform for Productivity

      Skills you'll gain: Extract, Transform, Load, Star Schema, Dashboard, Microsoft Power Platform, Data Analysis Expressions (DAX), Data Storytelling, Power BI, Microsoft Power Automate/Flow, Interactive Data Visualization, Microsoft Excel, Excel Formulas, Data-Driven Decision-Making, Data Analysis, Microsoft Copilot, Data Presentation, Data Visualization Software, Spreadsheet Software, Generative AI, ChatGPT, Productivity Software

      4.4
      Rating, 4.4 out of 5 stars
      ·
      482 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of California San Diego

      Interaction Design

      Skills you'll gain: Design Research, Interaction Design, User Experience Design, Statistical Analysis, Usability, Ideation, User Research, Graphic and Visual Design, User Interface (UI) Design, Experimentation, Prototyping, Human Centered Design, A/B Testing, Usability Testing, User Centered Design, Mockups, Human Computer Interaction, Human Factors, Collaborative Software, Telecommuting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Pennsylvania

      Introduction to Spreadsheets and Models

      Skills you'll gain: Regression Analysis, Spreadsheet Software, Google Sheets, Financial Modeling, Microsoft Excel, Data Modeling, Forecasting, Risk Analysis, Probability & Statistics, Business Modeling, Statistical Analysis, Simulation and Simulation Software, Process Improvement and Optimization

      4.2
      Rating, 4.2 out of 5 stars
      ·
      3.8K reviews

      Mixed · Course · 1 - 4 Weeks

    • G

      Google

      Build Dynamic User Interfaces (UI) for Websites

      Skills you'll gain: Responsive Web Design, Information Architecture, User Experience Design, Web Design, Design Reviews, Usability Testing, Wireframing, User Research, User Centered Design, User Interface (UI) Design, Mockups, Prototyping, Figma (Design Software)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Data Ethics, Applied Machine Learning, Computer Vision, Machine Learning, Unsupervised Learning, Artificial Intelligence, Information Privacy, Performance Testing, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.3K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free
      Free
      U

      Universiteit Leiden

      Miracles of Human Language: An Introduction to Linguistics

      Skills you'll gain: Language Competency, Anthropology, Cultural Diversity, Liberal Arts, Oral Comprehension, Oral Expression, Interviewing Skills, Vocabulary, Grammar, Psychology, Social Sciences, Sociology, Research

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

      Beginner · Course · 1 - 3 Months

    • D

      Duke University

      Programming Foundations with JavaScript, HTML and CSS

      Skills you'll gain: Hypertext Markup Language (HTML), HTML and CSS, Cascading Style Sheets (CSS), Web Development, Programming Principles, Javascript, Web Design, Computer Programming, Image Analysis, Computational Thinking, Algorithms, Debugging

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

      Beginner · Course · 1 - 3 Months

    • I

      Imperial College London

      Mathematics for Machine Learning: Multivariate Calculus

      Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Python Programming, Derivatives

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.7K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Alberta

      Software Design and Architecture

      Skills you'll gain: Software Architecture, Model View Controller, Unified Modeling Language, Object Oriented Design, Service Oriented Architecture, API Design, Systems Architecture, Web Services, Software Design Patterns, Software Design, Simple Object Access Protocol (SOAP), Microservices, Restful API, Software Design Documents, Software Visualization, Code Review, Solution Architecture, Software Systems, Object Oriented Programming (OOP), Java

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      California Institute of the Arts

      Game Design: Art and Concepts

      Skills you'll gain: Animation and Game Design, Game Design, Animations, Prototyping, Conceptual Design, Storytelling, Software Design Documents, Ideation, Visualization (Computer Graphics), Storyboarding, Video Game Development, Virtual Environment, Art History, Technical Design, Usability Testing, Creative Design, Design Strategies, Graphic and Visual Design, Design, Design Elements And Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      D

      DeepLearning.AI

      Applied Statistics for Data Analytics

      Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Statistical Modeling, Statistical Hypothesis Testing, Statistical Visualization, Descriptive Statistics, Data Analysis, Histogram, Probability, Probability Distribution, Correlation Analysis, Statistical Inference, Estimation, Simulation and Simulation Software, Sampling (Statistics), Analytical Skills, Spreadsheet Software, Generative AI

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      Imperial College London

      Statistical Analysis with R for Public Health

      Skills you'll gain: Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Data Analysis, R Programming, Descriptive Statistics, Statistical Software, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Statistical Programming, Statistics, Statistical Methods, Public Health, Probability & Statistics, Epidemiology, Statistical Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Beginner · Specialization · 3 - 6 Months

    Applied Data Science learners also search

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    1…545556…834

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

    • Microsoft Power BI and Power Platform for Productivity: Microsoft
    • Interaction Design: University of California San Diego
    • Introduction to Spreadsheets and Models: University of Pennsylvania
    • Build Dynamic User Interfaces (UI) for Websites: Google
    • Generative Adversarial Networks (GANs): DeepLearning.AI
    • Miracles of Human Language: An Introduction to Linguistics: Universiteit Leiden
    • Programming Foundations with JavaScript, HTML and CSS: Duke University
    • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
    • Software Design and Architecture: University of Alberta
    • Game Design: Art and Concepts: California Institute of the Arts

    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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