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    Results for "data science"

    • Status: Free Trial
      Free Trial
      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, Cloud Services, Application Performance Management

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

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Go Beyond the Numbers: Translate Data into Insights

      Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Data Visualization Software, Data Presentation, Data Transformation, Data Ethics, Tableau Software, Data Manipulation, Data Cleansing, Data Analysis, Stakeholder Communications, Matplotlib, Pandas (Python Package), Jupyter, Data Validation, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      791 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of Data Science and Machine Learning with Python

      Skills you'll gain: Matplotlib, Data Visualization, Deep Learning, Linear Algebra, Seaborn, Python Programming, Machine Learning, NumPy, Natural Language Processing, Supervised Learning, Pandas (Python Package), Artificial Neural Networks, Data Science, Regression Analysis, Data Manipulation, Data Structures

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Survey Data Collection and Analytics

      Skills you'll gain: Sampling (Statistics), Sample Size Determination, Surveys, Survey Creation, Research Methodologies, Data Collection, Statistical Analysis, Statistical Software, Interviewing Skills, Data Integration, Data Ethics, Research Design, Stata, R Programming, Data Quality, Statistical Modeling, Qualitative Research, Descriptive Statistics, Statistical Programming, Data Cleansing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Excel Skills for Business: Advanced

      Skills you'll gain: Dashboard, Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Analysis Expressions (DAX), Data Cleansing, Finance, Business Intelligence Software, Data Validation, Financial Modeling, Data Visualization, Loans, Depreciation, Automation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Text Mining in Python

      Skills you'll gain: Text Mining, Natural Language Processing, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Processing, Feature Engineering, Data Manipulation, Data Cleansing, Unsupervised Learning, Supervised Learning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      FPGA Design for Embedded Systems

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, Electronic Hardware, System Design and Implementation, Electronic Systems, Embedded Systems, Application Specific Integrated Circuits, Electrical and Computer Engineering, Schematic Diagrams, Program Development, Technical Design, Eclipse (Software), Software Development, Embedded Software, Integrated Development Environments, Verification And Validation, Computer Architecture, Computer Engineering, Programming Principles, Development Testing

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Ciberseguridad de Google

      Skills you'll gain: Vulnerability Management, Threat Modeling, Incident Response, Intrusion Detection and Prevention, Business Risk Management, Network Security, Operating Systems, Threat Detection, Risk Management, Security Information and Event Management (SIEM), Computer Security Incident Management, Security Awareness, Event Monitoring, Network Architecture, Security Controls, Cyber Risk, Linux, TCP/IP, Cybersecurity, Debugging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      6.8K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Michigan

      Finding Purpose and Meaning In Life: Living for What Matters Most

      Skills you'll gain: Goal Setting, Self-Awareness, Stress Management, Personal Development, Lifelong Learning, Resilience, Mindfulness, Positive Behavior Support, Liberal Arts, Decision Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Data Analytics (PT)

      Skills you'll gain: Data Cleansing, Rmarkdown, Data Storytelling, Data Presentation, Data Validation, Spreadsheet Software, Data Visualization, Data Ethics, Data Literacy, Tableau Software, Data Visualization Software, Data Analysis, Ggplot2, Analytical Skills, Stakeholder Communications, Presentations, SQL, Data Quality, Data Collection, Data Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Leading Teams: Developing as a Leader

      Skills you'll gain: Conflict Management, Trustworthiness, Leadership Development, Decision Making, Emotional Intelligence, Business Ethics, Leadership, Organizational Leadership, Strategic Leadership, Team Leadership, Initiative and Leadership, Ethical Standards And Conduct, Courage, Relationship Building, Lifelong Learning, Negotiation, Self-Awareness, Business Leadership, Personal Development, Growth Mindedness

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Build Basic Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Data Ethics, Computer Vision, Artificial Intelligence, Unsupervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Architecting with Google Kubernetes Engine: Google Cloud
    • Go Beyond the Numbers: Translate Data into Insights: Google
    • Foundations of Data Science and Machine Learning with Python: Packt
    • Survey Data Collection and Analytics: University of Michigan
    • Excel Skills for Business: Advanced: Macquarie University
    • Applied Text Mining in Python: University of Michigan
    • FPGA Design for Embedded Systems: University of Colorado Boulder
    • Ciberseguridad de Google: Google
    • Finding Purpose and Meaning In Life: Living for What Matters Most: University of Michigan
    • Google Data Analytics (PT): Google

    Frequently Asked Questions about Data Science

    Data science courses on Coursera cover a comprehensive array of essential skills including:

    • Fundamentals of data manipulation and data analysis using tools like Python and R
    • Statistical analysis and probability modeling
    • Machine learning techniques, including supervised and unsupervised learning
    • Data visualization and communication using platforms like Tableau and PowerBI
    • Big data technologies such as Hadoop and Spark
    • Deep learning and artificial intelligence concepts
    • Time series analysis for forecasting and trend analysis
    • Data ethics and data privacy best practices ‎

    No prior programming experience is required to begin beginner data science courses. The curriculum is designed to support learners at various skill levels:

    • Beginners can start with introductory courses on data analysis and basic programming.
    • Intermediate learners can advance to more complex statistical methods and machine learning models.
    • Advanced professionals can specialize in areas like artificial intelligence, deep learning, or big data technologies.‎

    Data science courses on Coursera offer a variety of credentialing options:

    • Professional certificates that demonstrate comprehensive data science skills
    • Specialized course certificates in areas such as machine learning, business analytics, or data engineering
    • Certifications from leading technology companies and academic institutions
    • These certificates can help demonstrate data science skills, employability and career progression.‎

    Skills in data science can lead to a wide range of career opportunities in various sectors including technology, healthcare, finance, and more:

    • Data Scientist
    • Data Analyst
    • Machine Learning Engineer
    • Business Intelligence Analyst
    • Quantitative Analyst
    • Data Engineers and Database Administrators
    • Professionals in these roles utilize data science skills to extract insights from data, support decision-making, and innovate with new algorithms and predictive models.

    Discover which data science role suits you best by taking our career quiz!‎

    Looking to enhance your team's data science skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our data science training options and make a purchase, please visit our Coursera for Teams page.‎

    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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