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    Results for "data science"

    • Status: New
      New
      G

      Google Cloud

      Introduction to AI and Machine Learning on GC - Indonesian

      Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, Cloud Solutions, Big Data, Machine Learning, Predictive Modeling, Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Logging and Monitoring in Google Cloud - 日本語版

      Skills you'll gain: Application Performance Management, Service Level, Cloud Management, Google Cloud Platform, System Monitoring, Real Time Data, Network Monitoring, Event Monitoring, Performance Tuning, Debugging, Operational Databases, Continuous Monitoring, Managed Services, Security Information and Event Management (SIEM), Data Access, Query Languages

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      J

      Johns Hopkins University

      État civil et statistiques pour la santé des populations

      Skills you'll gain: Public Health, Public Health and Disease Prevention, Health Equity, Health Information Management and Medical Records, Demography, Vital Signs, Health Policy, Maternal Health, Chronic Diseases, Data Quality, Data Collection, Medical History Documentation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      Macquarie University

      Digital Forensics

      Skills you'll gain: Mobile Security, Threat Detection, Cybersecurity, File Systems, Data Security, Data Integrity, Data Analysis Software, Data Validation, Data Ethics, Data Storage Technologies, Microsoft Windows, Verification And Validation, Internet Of Things, Encryption, Network Monitoring, Real Time Data

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      AWS Step Functions – Automate Complex Tasks with Workflows

      Skills you'll gain: Debugging, Amazon Web Services, AWS CloudFormation, Business Process Automation, Automation, Amazon S3, AWS Identity and Access Management (IAM), Amazon CloudWatch, Serverless Computing, API Gateway, Amazon DynamoDB, JSON, Data Validation

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Authentic Node.js WebSocket Server Workshop

      Skills you'll gain: Node.JS, Web Servers, Full-Stack Web Development, Back-End Web Development, Network Protocols, Debugging, Javascript, Web Applications, Cryptography, TCP/IP, Real Time Data

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini for end-to-end SDLC - Bahasa Indonesia

      Skills you'll gain: Development Testing, Debugging, Software Testing, Software Development Life Cycle, Web Applications, Application Development, Software Development Tools, Google Cloud Platform, Application Lifecycle Management, Generative AI Agents, Cloud Applications, Query Languages

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Network Fundamentals & Cisco Platform Development

      Skills you'll gain: Network Troubleshooting, Computing Platforms, Network Administration, General Networking, Software-Defined Networking, OSI Models, TCP/IP, Networking Hardware, Network Infrastructure, Network Model, Restful API, Network Protocols, Network Switches, Scripting, Application Programming Interface (API)

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Data Engineering on Google Cloud - 简体中文

      Skills you'll gain: Data Pipelines, Data Sharing, Data Migration, Google Cloud Platform, Cloud Storage, Metadata Management, Extract, Transform, Load, Data Processing, Apache Airflow, Data Integration, Data Storage, Data Lakes, Automation, Serverless Computing, SQL

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Preparing for Your Cloud Architect Journey - 日本語版

      Skills you'll gain: Cloud Computing Architecture, Cloud Infrastructure, Cloud Solutions, Cloud Management, Cloud Security, Solution Architecture, Google Cloud Platform, Cloud Computing, Cloud Services, Scalability

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini in Google Docs - Français

      Skills you'll gain: Generative AI, Google Workspace, Prompt Engineering, Grammar

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Security Engineers - Português Brasileiro

      Skills you'll gain: Google Cloud Platform, Application Deployment, Generative AI, Cloud Security, Security Engineering, Vulnerability Scanning, Security Controls

      Beginner · Course · 1 - 4 Weeks

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    1…828829830…834

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

    • Introduction to AI and Machine Learning on GC - Indonesian: Google Cloud
    • Logging and Monitoring in Google Cloud - 日本語版: Google Cloud
    • État civil et statistiques pour la santé des populations: Johns Hopkins University
    • Digital Forensics: Macquarie University
    • AWS Step Functions – Automate Complex Tasks with Workflows: Packt
    • Authentic Node.js WebSocket Server Workshop: Packt
    • Gemini for end-to-end SDLC - Bahasa Indonesia: Google Cloud
    • Network Fundamentals & Cisco Platform Development: Packt
    • Introduction to Data Engineering on Google Cloud - 简体中文: Google Cloud
    • Preparing for Your Cloud Architect Journey - 日本語版: Google Cloud

    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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