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    Results for "data science"

    • É

      École Polytechnique

      Aléatoire : une introduction aux probabilités - Partie 2

      Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Advanced Mathematics, Mathematical Theory & Analysis, Simulations, Statistical Methods, Statistical Inference

      4.6
      Rating, 4.6 out of 5 stars
      ·
      39 reviews

      Mixed · Course · 1 - 3 Months

    • G

      Google Cloud

      How to Build a BI Dashboard Using Google Data Studio and BigQuery

      Skills you'll gain: Dashboard, Data Import/Export, Business Intelligence, Google Cloud Platform, Data Integration, Database Development, Data Migration, Query Languages

      4.3
      Rating, 4.3 out of 5 stars
      ·
      15 reviews

      Intermediate · Project · Less Than 2 Hours

    • Status: New
      New
      P

      Packt

      Mastering Multi-Agent Development with AutoGen

      Skills you'll gain: Generative AI Agents, Agentic systems, OpenAI, Artificial Intelligence, API Gateway, Development Environment, Automation, Prompt Engineering, Application Development, Python Programming, Human Machine Interfaces

      4.4
      Rating, 4.4 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Cloud Native, Microservices, Containers, DevOps and Agile

      Skills you'll gain: Cloud-Native Computing, Docker (Software), Containerization, Microservices, Agile Methodology, DevOps, Agile Software Development, Kubernetes, CI/CD, Cloud Development, Agile Project Management, Hybrid Cloud Computing, Scrum (Software Development), Restful API, Continuous Delivery, Cloud Applications, Software Development Methodologies, Continuous Integration, Cloud Infrastructure, Postman API Platform

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Introduction to DevSecOps

      Skills you'll gain: DevOps, DevSecOps, CI/CD, GitHub, Continuous Deployment, Continuous Integration, Continuous Delivery, Version Control, Git (Version Control System), Process Improvement, Web Development Tools, Software Development, Information Technology Infrastructure Library, Cross-Functional Collaboration, Automation

      4.1
      Rating, 4.1 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Smart Analytics, Machine Learning, and AI on GCP 日本語版

      Skills you'll gain: Google Cloud Platform, Unstructured Data, MLOps (Machine Learning Operations), Applied Machine Learning, Tensorflow, Data Pipelines, Big Data, SQL, Predictive Modeling, Jupyter, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Concurrent and Parallel Programming in Python

      Skills you'll gain: Performance Tuning, Python Programming, Distributed Computing, OS Process Management, Scalability, Web Scraping, Database Management

      3.5
      Rating, 3.5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Phase Diagrams I & II

      Skills you'll gain: Semiconductors, Thermal Management, Chemistry, Chemical Engineering, Manufacturing Processes, Physical Science, Engineering Analysis, Engineering Calculations

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      K

      KodeKloud

      Ansible for the Absolute Beginners

      Skills you'll gain: Ansible, IT Automation, YAML, Devops Tools, Infrastructure as Code (IaC), Automation, Scripting, Application Deployment, System Configuration, Virtual Machines

      4
      Rating, 4 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Rochester

      Community Engagement in Research and Population Health

      Skills you'll gain: Health Disparities, Health Equity, Community Health, Public Health, Health Systems, Health Policy, Community Outreach, Data Collection, Research, Program Evaluation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Starweaver

      Strategic Public Relations Planning

      Skills you'll gain: Target Audience, Public Relations, Strategic Communication, Corporate Communications, Crisis Management, Marketing and Public Relations, Media Relations, Persuasive Communication, Marketing Effectiveness, Marketing Budgets, Persona Development, Campaign Management, Social Media, Stakeholder Management, Content Strategy, Business Technologies, Technology Strategies, Generative AI Agents, Ethical Standards And Conduct, Goal Setting

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Starweaver

      Data Communication Networks

      Skills you'll gain: Network Protocols, Network Security, Network Architecture, Network Monitoring, Virtualization, Network Routing, Cloud Computing Architecture, Computer Networking, TCP/IP, Emerging Technologies, Internet Of Things, Artificial Intelligence and Machine Learning (AI/ML)

      Beginner · Course · 1 - 4 Weeks

    Searches related to data science

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    1…443444445…834

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

    • Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique
    • How to Build a BI Dashboard Using Google Data Studio and BigQuery: Google Cloud
    • Mastering Multi-Agent Development with AutoGen: Packt
    • Cloud Native, Microservices, Containers, DevOps and Agile: IBM
    • Introduction to DevSecOps: Johns Hopkins University
    • Smart Analytics, Machine Learning, and AI on GCP 日本語版: Google Cloud
    • Concurrent and Parallel Programming in Python: Packt
    • Phase Diagrams I & II: Arizona State University
    • Ansible for the Absolute Beginners: KodeKloud
    • Community Engagement in Research and Population Health: University of Rochester

    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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