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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

    • U

      University of Illinois Urbana-Champaign

      Cluster Analysis in Data Mining

      Skills you'll gain: Unsupervised Learning, Data Mining, Data Validation, Applied Machine Learning, Machine Learning Algorithms, Data Analysis, Statistical Methods, Exploratory Data Analysis, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      408 reviews

      Mixed · Course · 1 - 3 Months

    • M

      MathWorks

      Image Processing for Engineering and Science

      Skills you'll gain: Image Analysis, Matlab, Computer Vision, Automation, Anomaly Detection, Spatial Data Analysis, Medical Imaging, Spatial Analysis, Quantitative Research, Graphical Tools, Data Access, Data Import/Export, Data Store

      4.8
      Rating, 4.8 out of 5 stars
      ·
      208 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Leveraging AI for Enhanced Content Creation

      Skills you'll gain: Generative AI, Advertising, Advertising Campaigns, Content Creation, ChatGPT, Prompt Engineering, Content Marketing, Web Content, Data Ethics, Artificial Intelligence, Storytelling, Video Editing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      113 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University at Buffalo

      Improving Leadership & Governance in Nonprofit Organizations

      Skills you'll gain: Governance, Peer Review, Consulting, Non-Profit Accounting, Performance Measurement, Meeting Facilitation, Leadership and Management, Organizational Strategy, Strategic Leadership, Report Writing, Organizational Effectiveness, Leadership, Performance Analysis, Performance Management, Organizational Change, Philanthropy, Change Management, Resource Management, Public Administration, Management Reporting

      4.4
      Rating, 4.4 out of 5 stars
      ·
      252 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Houston

      The Bilingual Brain

      Skills you'll gain: Language Competency, Language Learning, Human Learning, Non-Verbal Communication, Neurology, Human Development, Psychology, Child Development, Science and Research, Scientific Methods, Experimentation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      701 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of California, Davis

      Computational Social Science Methods

      Skills you'll gain: Social Sciences, Network Analysis, Data Science, Machine Learning, Computational Thinking, Economics, Policy, and Social Studies, Artificial Intelligence, Data Analysis, Simulations, Big Data, Scientific Methods

      4.7
      Rating, 4.7 out of 5 stars
      ·
      342 reviews

      Beginner · Course · 1 - 4 Weeks

    • B

      Board Infinity

      Data Governance with Databricks

      Skills you'll gain: Data Governance, Databricks, Data Management, Data Architecture, Metadata Management, Information Management, Data Strategy, Data Security, Data Quality

      2.7
      Rating, 2.7 out of 5 stars
      ·
      27 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      Imperial College London

      Getting started with TensorFlow 2

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Supervised Learning, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Jupyter

      4.9
      Rating, 4.9 out of 5 stars
      ·
      573 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Vital Skills for Data Science

      Skills you'll gain: Data Ethics, Data Visualization Software, Interactive Data Visualization, Visualization (Computer Graphics), Data Security, Data Presentation, User Centered Design, User Experience Design, Technical Communication, Cybersecurity, Healthcare Ethics, Usability, Statistical Reporting, Human Centered Design, Authentications, Data Storytelling, Data Science, Data Encryption Standard, Computer Security Awareness Training, Ethical Standards And Conduct

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      111 reviews

      Intermediate · Specialization · 3 - 6 Months

    • T

      The Linux Foundation

      Linux for Developers

      Skills you'll gain: Package and Software Management, Linux, Command-Line Interface, File Systems, Linux Administration, Linux Commands, User Accounts, System Configuration, Unix Shell, Performance Tuning, System Monitoring, Operating Systems, Networking Hardware

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • S

      SAS

      Statistical Thinking for Industrial Problem Solving, presented by JMP

      Skills you'll gain: Exploratory Data Analysis, Data Compilation, Correlation Analysis, Data Collection, Statistical Inference, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Probability & Statistics, Statistical Visualization

      4.9
      Rating, 4.9 out of 5 stars
      ·
      92 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California San Diego

      Advanced Data Structures in Java

      Skills you'll gain: Graph Theory, Data Structures, Java Programming, Java, Object Oriented Design, Software Design, Algorithms, Theoretical Computer Science, Maintainability, Object Oriented Programming (OOP), Network Routing, Computational Thinking, Application Development, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    Applied Data Science learners also search

    Data Science
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    1…128129130…834

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

    • Cluster Analysis in Data Mining: University of Illinois Urbana-Champaign
    • Image Processing for Engineering and Science: MathWorks
    • Leveraging AI for Enhanced Content Creation : Coursera Instructor Network
    • Improving Leadership & Governance in Nonprofit Organizations: University at Buffalo
    • The Bilingual Brain: University of Houston
    • Computational Social Science Methods: University of California, Davis
    • Data Governance with Databricks: Board Infinity
    • Getting started with TensorFlow 2: Imperial College London
    • Vital Skills for Data Science: University of Colorado Boulder
    • Linux for Developers: The Linux Foundation

    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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