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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 Trial
      Free Trial
      U

      University of California, Santa Cruz

      Coding for Everyone: C and C++

      Skills you'll gain: C++ (Programming Language), Debugging, C (Programming Language), Object Oriented Programming (OOP), Software Design Patterns, Code Review, Data Structures, Computer Programming, Algorithms, Command-Line Interface, Programming Principles, Program Development, Computer Science, Computational Thinking, Integrated Development Environments, Graph Theory, Artificial Intelligence, Software Technical Review, File Systems, Game Design

      4.5
      Rating, 4.5 out of 5 stars
      ·
      9.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Human Resource Management: HR for People Managers

      Skills you'll gain: Performance Management, Performance Appraisal, Employee Performance Management, Compensation Management, Compensation Strategy, Compensation and Benefits, Constructive Feedback, Workforce Planning, Human Resource Strategy, Human Resources, Employee Onboarding, Recruitment, Recruitment Strategies, Human Capital, Compensation Analysis, Talent Acquisition, Human Resources Management and Planning, People Management, Job Analysis, Payroll

      4.8
      Rating, 4.8 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Generative AI, Regression Analysis, Dimensionality Reduction, Reinforcement Learning, Data Cleansing, Data Access, Deep Learning, Data Analysis, Predictive Modeling, Applied Machine Learning, Statistical Analysis, Statistical Inference, Statistical Hypothesis Testing, Machine Learning Algorithms, 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

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      C, Go, and C++: A Comprehensive Introduction to Programming

      Skills you'll gain: C++ (Programming Language), Go (Programming Language), Debugging, C (Programming Language), Data Structures, Object Oriented Programming (OOP), Software Design Patterns, Object Oriented Design, Code Review, Programming Principles, Computer Programming, Unit Testing, Algorithms, Command-Line Interface, Program Development, Integrated Development Environments, Software Testing, Computer Science, Computational Thinking, Graph Theory

      4.5
      Rating, 4.5 out of 5 stars
      ·
      9.4K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft 365 Fundamentals

      Skills you'll gain: Multimedia, Microsoft PowerPoint, Microsoft Excel, Excel Formulas, Microsoft Word, Microsoft 365, Data Visualization, Presentations, Spreadsheet Software, Productivity Software, Collaborative Software, Data Import/Export, Microsoft Windows, Proofreading, Editing, Document Management, Technical Documentation, Writing, Data Entry, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • S

      Sciences Po

      Politics and Economics of International Energy

      Skills you'll gain: Energy and Utilities, International Relations, Economic Development, Natural Resource Management, Environmental Policy, Economics, Political Sciences, Market Dynamics, Environment, Supply And Demand, Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Search Engine Optimization (SEO)

      Skills you'll gain: Keyword Research, Search Engine Optimization, Web Analytics and SEO, Content Creation, Social Media Strategy, Competitive Analysis, Target Audience, Client Services, Content Marketing, Peer Review, Social Media Marketing, Consumer Behaviour, Google Analytics, Presentations, Marketing, Forecasting, Digital Marketing, Expectation Management, Content Strategy, User Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      HTML, CSS, and Javascript for Web Developers

      Skills you'll gain: Cascading Style Sheets (CSS), HTML and CSS, Javascript, Ajax, Responsive Web Design, Bootstrap (Front-End Framework), Front-End Web Development, Web Design, Hypertext Markup Language (HTML), Web Design and Development, JSON, Web Applications, Web Development, Scripting, Usability, Cross Platform Development, Browser Compatibility, Event-Driven Programming, Object Oriented Programming (OOP), User Interface and User Experience (UI/UX) Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Deep Learning with PyTorch, Keras and Tensorflow

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Image Analysis, Data Manipulation, Tensorflow, Verification And Validation, Generative AI, Artificial Neural Networks, Data Processing, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Artificial Intelligence, Scientific Visualization, Time Series Analysis and Forecasting, Predictive Modeling, Natural Language Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of London

      Mathematics for Computer Science

      Skills you'll gain: Arithmetic, Computer Science, Computer Graphics, Computational Thinking, General Mathematics, Applied Mathematics, Algebra, Cryptography

      4.1
      Rating, 4.1 out of 5 stars
      ·
      238 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Capstone: Retrieving, Processing, and Visualizing Data with Python

      Skills you'll gain: Data Processing, Data Collection, Data Visualization Software, Data Manipulation, Python Programming, Exploratory Data Analysis, Algorithms, Data Analysis, Web Scraping, Unstructured Data

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14K reviews

      Beginner · Course · 1 - 3 Months

    • T

      The University of Edinburgh

      Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences

      Skills you'll gain: Artificial Intelligence, Agentic systems, Psychology, Anthropology, Human Learning, Human Development, Machine Learning, Science and Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Mixed · Course · 1 - 3 Months

    Applied Data Science learners also search

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

    • Coding for Everyone: C and C++: University of California, Santa Cruz
    • Human Resource Management: HR for People Managers: University of Minnesota
    • IBM Machine Learning: IBM
    • C, Go, and C++: A Comprehensive Introduction to Programming: University of California, Santa Cruz
    • Microsoft 365 Fundamentals: Microsoft
    • Politics and Economics of International Energy: Sciences Po
    • Search Engine Optimization (SEO): University of California, Davis
    • HTML, CSS, and Javascript for Web Developers: Johns Hopkins University
    • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
    • Mathematics for Computer Science: University of London

    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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