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    Results for "data science"

    • G

      Google Cloud

      ML Pipelines on Google Cloud - 한국어

      Skills you'll gain: CI/CD, Google Cloud Platform, Apache Airflow, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Kubernetes, Continuous Deployment, Metadata Management, Continuous Integration, PyTorch (Machine Learning Library), Machine Learning Methods, Containerization

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Underground Metros Shafts and Caverns

      Skills you'll gain: Structural Engineering, Structural Analysis, Construction Engineering, Civil Engineering, Construction, Engineering Analysis, Civil and Architectural Engineering, Building Codes, Building Design, Construction Management, Engineering Calculations, Finite Element Methods

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      Oracle Performance: Exadata, Enterprise Manager Mastery

      Skills you'll gain: Oracle Databases, Scalability, Oracle Cloud, Database Management, Performance Tuning, Database Management Systems, Database Architecture and Administration, System Monitoring

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      Mastering Usability Testing: Techniques and Best Practices

      Skills you'll gain: Usability Testing, Usability, User Acceptance Testing (UAT), Software Testing, Test Planning, UI/UX Research, Quality Assurance, Software Quality (SQA/SQC), Verification And Validation, Human Centered Design, Technical Communication, Risk Management Framework

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Modelling, Rendering, and Unreal Engine Integration

      Skills you'll gain: Unreal Engine, 3D Modeling, Augmented and Virtual Reality (AR/VR), Virtual Environment, Computer Graphics, Animations, Game Design, Data Import/Export, Simulations

      Advanced · Course · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Pile foundation

      Skills you'll gain: Building Codes, Construction, Structural Engineering, Construction Engineering, Laboratory Testing, Civil Engineering, Structural Analysis, Engineering Design Process, Engineering Analysis

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google Cloud

      Create Embeddings, Vector Search, and RAG with BigQuery

      Skills you'll gain: Generative AI, Prompt Engineering, Large Language Modeling, Google Cloud Platform, Natural Language Processing, Data Processing, Machine Learning Algorithms

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      Mastering Reviews and Test Automation: Techniques & Tools

      Skills you'll gain: Test Tools, Test Automation, Test Planning, Continuous Integration, Software Testing, Regression Testing, Scripting, CI/CD, Software Technical Review, Test Case, Integration Testing, System Testing, Maintainability, Code Review, Continuous Delivery, Application Frameworks

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      AppSheet Administration

      Skills you'll gain: Data Integration, Administration, Enterprise Application Management, Governance, Team Management, User Provisioning, Data Sharing, Management Reporting, Role-Based Access Control (RBAC), Application Deployment, Systems Integration, Strategic Planning

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Classification - Fundamentals & Practical Applications

      Skills you'll gain: Machine Learning Algorithms, Predictive Modeling, Applied Machine Learning, Classification And Regression Tree (CART), Supervised Learning, Data Modeling, Analytics, Data Analysis, Feature Engineering, Regression Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Performance Metric, Exploratory Data Analysis

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Mastering VFX, Simulation & Finalizing Projects in UE5

      Skills you'll gain: Unreal Engine, Animations, Video Production, Post-Production, Virtual Environment, Computer Graphics, Motion Graphics, Visualization (Computer Graphics), Simulations

      Advanced · Course · 3 - 6 Months

    • G

      Google Cloud

      Transformer Models and BERT Model - Bahasa Indonesia

      Skills you'll gain: Natural Language Processing, Large Language Modeling, Deep Learning

      Advanced · Course · 1 - 4 Weeks

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    1…303132…37

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

    • ML Pipelines on Google Cloud - 한국어: Google Cloud
    • Underground Metros Shafts and Caverns : L&T EduTech
    • Oracle Performance: Exadata, Enterprise Manager Mastery: Coursera Instructor Network
    • Mastering Usability Testing: Techniques and Best Practices: Board Infinity
    • Advanced Modelling, Rendering, and Unreal Engine Integration: Packt
    • Pile foundation: L&T EduTech
    • Create Embeddings, Vector Search, and RAG with BigQuery: Google Cloud
    • Mastering Reviews and Test Automation: Techniques & Tools: Board Infinity
    • AppSheet Administration: Google Cloud
    • Classification - Fundamentals & Practical Applications: Corporate Finance Institute

    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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