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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

      Meta

      React Native

      Skills you'll gain: React Native, Mobile Development, Cross Platform Development, UI Components, Mobile Development Tools, iOS Development, React.js, Front-End Web Development, Android Development, User Interface (UI), Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      365 reviews

      Intermediate · Course · 1 - 3 Months

    • K

      Knowledge Accelerators

      Data-Driven Decisions with Power BI

      Skills you'll gain: Power BI, Dashboard, Data Import/Export, Data Transformation, Data Analysis, Data Cleansing, Data Presentation, Data Modeling, Data Visualization Software, Business Intelligence Software, Interactive Data Visualization, Data-Driven Decision-Making, Data Sharing, Data Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      262 reviews

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Foundations of AI and Machine Learning

      Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Cloud Infrastructure, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Data Pipelines, Scikit Learn (Machine Learning Library), Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      104 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Storytelling With Data

      Skills you'll gain: Data Storytelling, Data Presentation, Storytelling, Data Visualization, Data Analysis, Business Communication, Presentations, Small Data, Action Oriented, Drive Engagement

      4.5
      Rating, 4.5 out of 5 stars
      ·
      245 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • V

      Vanderbilt University

      Introduction to Data, Signal, and Image Analysis with MATLAB

      Skills you'll gain: Data Visualization, Image Analysis, Data Visualization Software, Machine Learning Methods, Matlab, Applied Machine Learning, Statistical Methods, Data Analysis, Data Processing, Computer Vision, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      219 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      W

      West Virginia University

      Wood Science: Beyond Building

      Skills you'll gain: Economics, Environment and Resource Management, Natural Resource Management, Supply And Demand, Environmental Science, Product Knowledge, Environmental Engineering, Construction, Product Lifecycle Management, Structural Engineering

      4.6
      Rating, 4.6 out of 5 stars
      ·
      776 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      SAS

      SAS Advanced Programmer

      Skills you'll gain: SQL, SAS (Software), Database Management, Query Languages, Data Access, Database Management Systems, Program Development, Data-Driven Decision-Making, Data Presentation, Scripting, Perl (Programming Language), Data Processing, Automation, Data Integration, Statistical Programming, Data Manipulation, Data Structures, Data Transformation, Debugging, Data Validation

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      399 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • P

      Pontificia Universidad Católica de Chile

      Explorando la Energía Sustentable

      Skills you'll gain: Energy and Utilities, Systems Of Measurement, Environmental Issue, Environmental Resource Management, Mitigation, Natural Resource Management, Environment, Physics, Economic Development, Environmental Engineering, Environmental Science, Mathematical Modeling, Electric Power Systems

      4.8
      Rating, 4.8 out of 5 stars
      ·
      724 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Palo Alto Networks

      Palo Alto Networks Cybersecurity Foundation

      Skills you'll gain: Cybersecurity, Zero Trust Network Access, Cyber Threat Intelligence, Malware Protection, Network Security, Firewall, Threat Detection, Cloud Security, Endpoint Security, Security Controls, Enterprise Security, Software As A Service, Cloud Computing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      492 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      VLSI CAD Part II: Layout

      Skills you'll gain: Application Specific Integrated Circuits, Hardware Design, Computer-Aided Design, Electronic Hardware, Systems Design, Computer Architecture, Electrical and Computer Engineering, Engineering Design Process, Semiconductors, Network Routing, Computational Logic, Data Structures, Algorithms, Mathematical Modeling, Calculus

      4.7
      Rating, 4.7 out of 5 stars
      ·
      281 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      IA generativa en el aula

      Skills you'll gain: Generative AI, Prompt Engineering, ChatGPT, AI Personalization, Education Software and Technology, Large Language Modeling, Artificial Intelligence, Creativity, Data Ethics, Computer Vision, Information Privacy, Ethical Standards And Conduct, Intellectual Property

      4.9
      Rating, 4.9 out of 5 stars
      ·
      591 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      Infosec

      Computer Forensics

      Skills you'll gain: File Systems, Microsoft Windows, Cybersecurity, TCP/IP, Network Protocols, Data Security, Information Systems Security, Litigation Support, Network Security, Operating Systems, Data Structures, General Networking, Data Validation, Record Keeping, Data Integrity, Data Storage, Data Analysis Software, User Accounts, USB, System Configuration

      4.7
      Rating, 4.7 out of 5 stars
      ·
      318 reviews

      Intermediate · Specialization · 3 - 6 Months

    Applied Data Science learners also search

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    1…147148149…834

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

    • React Native: Meta
    • Data-Driven Decisions with Power BI: Knowledge Accelerators
    • Foundations of AI and Machine Learning: Microsoft
    • Storytelling With Data: Coursera Project Network
    • Introduction to Data, Signal, and Image Analysis with MATLAB: Vanderbilt University
    • Wood Science: Beyond Building: West Virginia University
    • SAS Advanced Programmer: SAS
    • Explorando la Energía Sustentable: Pontificia Universidad Católica de Chile
    • Palo Alto Networks Cybersecurity Foundation: Palo Alto Networks
    • VLSI CAD Part II: Layout: University of Illinois Urbana-Champaign

    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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