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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

      Macquarie University

      Analysing: Numeric and digital literacies

      Skills you'll gain: Governance, Management Accounting, Marketing Analytics, Budgeting, Capital Budgeting, Financial Modeling, SAS (Software), Business Analytics, Accounting, Financial Management, Customer Insights, Financial Analysis, Dashboard, Analytics, Marketing Effectiveness, Corporate Finance, Digital Marketing, Customer Data Management, Business Valuation, Data-Driven Decision-Making

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado System

      C# Programming for Unity Game Development

      Skills you'll gain: Unity Engine, Debugging, Object Oriented Programming (OOP), Video Game Development, C# (Programming Language), Game Design, Software Design Patterns, Computer Programming, Event-Driven Programming, Data Structures, Integrated Development Environments, Data Storage, Application Development, Software Design, Program Development, UI Components, Cross Platform Development, Scripting, Data Import/Export, Development Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Natural Language Processing in TensorFlow

      Skills you'll gain: Tensorflow, Natural Language Processing, Generative AI, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Text Mining, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      User Experience Research and Design

      Skills you'll gain: UI/UX Research, Surveys, Qualitative Research, Usability Testing, User Experience Design, User Experience, User Research, User Story, Prototyping, Wireframing, User Centered Design, Survey Creation, Sampling (Statistics), Design Research, Interaction Design, Ideation, A/B Testing, Conceptual Design, User Interface (UI), Test Case

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      T

      Technical University of Denmark (DTU)

      Antimicrobial resistance - theory and methods

      Skills you'll gain: Laboratory Testing, Quality Assurance, Microbiology, Infectious Diseases, Bioinformatics, Clinical Laboratory Science, Epidemiology, Medical Science and Research, Public Health, Pharmacology, Molecular Biology, Data Sharing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Institute for the Future

      Futures Thinking

      Skills you'll gain: Forecasting, Visionary, Proactivity, Innovation, Strategic Thinking, Creative Thinking, Action Oriented, Simulations, Optimism, Planning, Community Organizing, Systems Thinking, Virtual Reality, Trend Analysis, Empathy, Market Trend, Game Theory, Cognitive flexibility, Storytelling, Personal Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Amsterdam

      Basic Statistics

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Probability Distribution, Correlation Analysis, Probability, Statistical Inference, Regression Analysis, Sample Size Determination, Statistics, Scientific Methods

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

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Architecting with Google Kubernetes Engine

      Skills you'll gain: Kubernetes, Identity and Access Management, Cloud-Native Computing, Google Cloud Platform, CI/CD, Containerization, Application Deployment, Cloud Management, Scalability, Cloud Computing, Cloud Infrastructure, Load Balancing, Continuous Integration, DevOps, Continuous Delivery, YAML, Data Storage, Cloud Security, Application Performance Management, Cloud Services

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of California, Irvine

      Introduction to the Internet of Things and Embedded Systems

      Skills you'll gain: Embedded Systems, Internet Of Things, General Networking, Operating Systems, Wireless Networks, Network Protocols, Computer Hardware, Emerging Technologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13K reviews

      Mixed · Course · 1 - 4 Weeks

    • M

      Meta

      Programming in Python

      Skills you'll gain: Object Oriented Programming (OOP), Unit Testing, Test Driven Development (TDD), Programming Principles, Software Testing, Data Structures, Python Programming, Computer Programming, Development Environment, Integrated Development Environments, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 3 Months

    • C

      Codio

      Programming in Python: A Hands-on Introduction

      Skills you'll gain: Object Oriented Programming (OOP), Programming Principles, Computer Programming, Scripting Languages, Data Import/Export, Data Structures, Python Programming, Scripting, Computational Logic, Computer Science, File Management

      4.5
      Rating, 4.5 out of 5 stars
      ·
      458 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      T

      The Pennsylvania State University

      Epidemics - the Dynamics of Infectious Diseases

      Skills you'll gain: Infectious Diseases, Epidemiology, Public Health and Disease Prevention, Microbiology, Public Health, Social Sciences, Community Health, Emerging Technologies, Mathematical Modeling, Molecular Biology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K 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

    • Analysing: Numeric and digital literacies: Macquarie University
    • C# Programming for Unity Game Development: University of Colorado System
    • Natural Language Processing in TensorFlow: DeepLearning.AI
    • User Experience Research and Design: University of Michigan
    • Antimicrobial resistance - theory and methods: Technical University of Denmark (DTU)
    • Futures Thinking: Institute for the Future
    • Basic Statistics: University of Amsterdam
    • Architecting with Google Kubernetes Engine: Google Cloud
    • Introduction to the Internet of Things and Embedded Systems: University of California, Irvine
    • Programming in Python: Meta

    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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