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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
      G

      Google Cloud

      Applying Machine Learning to your Data with Google Cloud

      Skills you'll gain: Google Cloud Platform, Applied Machine Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Supervised Learning, Predictive Modeling, Deep Learning, Natural Language Processing, Computer Vision

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • P

      Pohang University of Science and Technology(POSTECH)

      Ferrous Technology I

      Skills you'll gain: Manufacturing Processes, Manufacturing and Production, Production Process, Chemical Engineering, Process Engineering, Engineering, Process Analysis, Chemistry, Physical Science, Environmental Issue

      4.7
      Rating, 4.7 out of 5 stars
      ·
      698 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Data Visualization Fundamentals

      Skills you'll gain: Data Storytelling, Data Presentation, Power BI, Data Visualization Software, Interactive Data Visualization, Statistical Visualization, Dashboard, Data-Driven Decision-Making, Business Intelligence, Pivot Tables And Charts, Data Analysis, Scatter Plots, Histogram

      4.6
      Rating, 4.6 out of 5 stars
      ·
      53 reviews

      Beginner · Course · 1 - 4 Weeks

    • L

      LearnQuest

      Mastering Final Cut Pro

      Skills you'll gain: Video Editing, Motion Graphics, Knowledge of Apple Software, Post-Production, Video Production, Photo/Video Production and Technology, Animations, Media Production, Data Import/Export, Editing, Content Management, File Management, Color Matching, Timelines

      4.4
      Rating, 4.4 out of 5 stars
      ·
      225 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Qualitative Research

      Skills you'll gain: Focus Group, Qualitative Research, Discussion Facilitation, Survey Creation, Market Research, Research, Research Reports, Recruitment, Research Methodologies, Interviewing Skills, Recruitment Strategies, Report Writing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      458 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      Embedded Software Development with C

      Skills you'll gain: Embedded Software, C (Programming Language), Embedded Systems, Debugging, Peripheral Devices, Integrated Development Environments, Development Environment, System Programming, Data Structures, Hardware Troubleshooting, Microarchitecture, Programming Principles, Performance Tuning, Computer Architecture, C++ (Programming Language), Hardware Architecture, Computer Hardware, Computer Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      187 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      SAP

      Understanding the Enterprise Systems Environment

      Skills you'll gain: Digital Transformation, Cloud Computing Architecture, Systems Design, Cloud Computing, SAP Applications, Cybersecurity, Software As A Service, Systems Analysis, Enterprise Architecture, Enterprise Resource Planning, Business Technologies, Data Modeling, Business Process Automation, Application Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      204 reviews

      Beginner · Course · 1 - 3 Months

    • U

      UBITS

      Introducción a la inteligencia emocional

      Skills you'll gain: Emotional Intelligence, Personal Development, Self-Awareness, Persistence, Self-Discipline, Social Skills, Self-Motivation, Adaptability, Resilience, Interpersonal Communications, Cultural Diversity, Communication, Decision Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      980 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Peking University

      计算导论与C语言基础

      Skills you'll gain: C (Programming Language), Programming Principles, Data Structures, Program Development, Computer Science, Theoretical Computer Science, Computer Architecture, Computer Programming, Computational Thinking, Algorithms, Emerging Technologies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Mixed · Course · 3 - 6 Months

    • U

      University of Minnesota

      Statistical Molecular Thermodynamics

      Skills you'll gain: Physics, Thermal Management, Chemistry, Physical Science, Engineering Calculations, Applied Mathematics, Calculus, Mathematical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      358 reviews

      Beginner · Course · 1 - 3 Months

    • A

      American Museum of Natural History

      Evolution: A Course for Educators

      Skills you'll gain: Teaching, Instructional Strategies, Anthropology, Life Sciences, Culture, Environment, Biology, Curriculum Planning, Taxonomy, Scientific Methods

      4.7
      Rating, 4.7 out of 5 stars
      ·
      326 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Peking University

      C++程序设计

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Computer Programming, Programming Principles, C (Programming Language), Algorithms, File Management, Data Structures, Maintainability, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      812 reviews

      Mixed · Course · 1 - 3 Months

    Applied Data Science learners also search

    Data Science
    R
    Data
    Beginner Data Science
    Data Science Projects
    Data Analytics
    Advanced Data Science
    Data Analysis
    1…199200201…834

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

    • Applying Machine Learning to your Data with Google Cloud: Google Cloud
    • Ferrous Technology I: Pohang University of Science and Technology(POSTECH)
    • Data Visualization Fundamentals: Microsoft
    • Mastering Final Cut Pro: LearnQuest
    • Qualitative Research: University of California, Davis
    • Embedded Software Development with C: EDUCBA
    • Understanding the Enterprise Systems Environment: SAP
    • Introducción a la inteligencia emocional: UBITS
    • 计算导论与C语言基础: Peking University
    • Statistical Molecular Thermodynamics: University of Minnesota

    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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