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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

    • C

      Coursera Project Network

      NLP: Twitter Sentiment Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Text Mining, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Processing, Statistical Modeling, Data Transformation, Data Analysis, Applied Machine Learning, Supervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      366 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      U

      Utrecht University

      Clinical Epidemiology

      Skills you'll gain: Epidemiology, Biostatistics, Clinical Research, Medical Science and Research, Clinical Trials, Patient Evaluation, Public Health, Patient Treatment, Predictive Modeling, Analysis, Risk Modeling, Statistical Modeling, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      357 reviews

      Intermediate · Course · 1 - 3 Months

    • S

      Stanford University

      AI in Healthcare Capstone

      Skills you'll gain: Patient Evaluation, Health Informatics, Clinical Data Management, Artificial Intelligence and Machine Learning (AI/ML), Data Collection, Applied Machine Learning, Application Deployment, Health Care Procedure and Regulation, Data Ethics, Machine Learning Software, Machine Learning, Healthcare Industry Knowledge, Predictive Modeling, Performance Tuning, Regulatory Compliance, Feature Engineering

      4.7
      Rating, 4.7 out of 5 stars
      ·
      254 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Alberta

      Problem Solving, Python Programming, and Video Games

      Skills you'll gain: Computational Thinking, Video Game Development, Game Design, Programming Principles, Animation and Game Design, Software Quality (SQA/SQC), Computer Programming, Program Development, Software Engineering, Python Programming, Algorithms, Pseudocode, Application Development, Debugging, Problem Management, Functional Testing, Test Planning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      233 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Princeton University

      Computer Architecture

      Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Computer Systems, Computer Engineering, Distributed Computing, Operating Systems, Performance Tuning, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Advanced · Course · 3 - 6 Months

    • Status: Free
      Free
      A

      American Museum of Natural History

      Our Earth's Future

      Skills you'll gain: Social Sciences, Environmental Issue, Socioeconomics, Economics, Policy, and Social Studies, Mitigation, Environment, Scientific Methods, Environmental Science, Physical Science, Natural Resource Management, Anthropology, Water Resources, Scientific Visualization, Mathematical Modeling, Simulation and Simulation Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      808 reviews

      Mixed · Course · 1 - 3 Months

    • T

      Tecnológico de Monterrey

      Gestión de Proyectos

      Skills you'll gain: Coordinating, Agile Project Management, Project Management Life Cycle, Negotiation, Team Management, Project Risk Management, Agile Methodology, Resource Allocation, Emotional Intelligence, Project Planning, Leadership, Resource Management, Risk Analysis, Project Management Institute (PMI) Methodology, Project Management, Leadership and Management, Project Schedules, Project Scoping, Scaled Agile Framework, Sprint Planning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      941 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      G

      Georgia Institute of Technology

      Linear Circuits 2: AC Analysis

      Skills you'll gain: Electrical Engineering, Basic Electrical Systems, Electronics, Electronic Systems, Power Electronics, Electronic Components, Network Analysis, Engineering Analysis, Mathematical Modeling, Engineering Calculations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      761 reviews

      Intermediate · Course · 1 - 3 Months

    • A

      Akamai Technologies, Inc.

      Akamai Customer Consulting and Support

      Skills you'll gain: SQL, Linux, Endpoint Security, Database Management, HTML and CSS, Incident Response, Relational Databases, Network Security, Database Systems, Vulnerability Scanning, Linux Administration, File Systems, Routing Protocols, OSI Models, Responsive Web Design, Hypertext Markup Language (HTML), Application Development, Remote Access Systems, Scripting, MySQL

      4.7
      Rating, 4.7 out of 5 stars
      ·
      259 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • M

      Michigan State University

      Game Design and Development 1: 2D Shooter

      Skills you'll gain: Game Design, Unity Engine, Video Game Development, Peer Review, Cross Platform Development, User Interface (UI), C# (Programming Language), Object Oriented Programming (OOP), Animations, Scripting, Creativity, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      497 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      GIS Mastery: Spatial Data, Remote Sensing, Decision Support

      Skills you'll gain: Geographic Information Systems, Geospatial Information and Technology, Geospatial Mapping, Spatial Data Analysis, Spatial Analysis, Global Positioning Systems

      4.4
      Rating, 4.4 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Linear Algebra: Linear Systems and Matrix Equations

      Skills you'll gain: Linear Algebra, Algebra, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      136 reviews

      Beginner · Course · 1 - 4 Weeks

    Applied Data Science learners also search

    Data Science
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    1…135136137…834

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

    • NLP: Twitter Sentiment Analysis: Coursera Project Network
    • Clinical Epidemiology: Utrecht University
    • AI in Healthcare Capstone: Stanford University
    • Problem Solving, Python Programming, and Video Games: University of Alberta
    • Computer Architecture: Princeton University
    • Our Earth's Future: American Museum of Natural History
    • Gestión de Proyectos: Tecnológico de Monterrey
    • Linear Circuits 2: AC Analysis : Georgia Institute of Technology
    • Akamai Customer Consulting and Support: Akamai Technologies, Inc.
    • Game Design and Development 1: 2D Shooter: Michigan State University

    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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