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    Results for "data science"

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      GIS, Mapping, and Spatial Analysis

      Skills you'll gain: ArcGIS, Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, GIS Software, Data Mapping, Data Visualization, Metadata Management, Query Languages, Global Positioning Systems, Quantitative Research, Data Compilation, Data Modeling, Typography, Data Manipulation, Data Processing, Data Storytelling, Design Elements And Principles, Image Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      Università di Napoli Federico II

      Comparative Political Systems

      Skills you'll gain: Political Sciences, Policy Analysis, Social Sciences, International Relations, Public Policies, Systems Thinking, Governance, Research Methodologies, Qualitative Research

      4.4
      Rating, 4.4 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      Dartmouth College

      Fundamentals of Digital Transformation

      Skills you'll gain: Digital Transformation, Customer experience improvement, Business Transformation, Business Technologies, Business Modeling, Technology Strategies, Data Ethics, AI Personalization, Internet Of Things, Emerging Technologies, Automation, Customer Insights, Cloud Computing, Law, Regulation, and Compliance, Business Strategy, Personally Identifiable Information, Cybersecurity, Data-Driven Decision-Making, Business Ethics

      Beginner · Course · 1 - 3 Months

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

      Packt

      Advanced ML Algorithms & Unsupervised Learning

      Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Random Forest Algorithm, Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Classification And Regression Tree (CART), Feature Engineering, Supervised Learning, Statistical Machine Learning, Predictive Modeling, Artificial Intelligence, Exploratory Data Analysis

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      F

      Fred Hutchinson Cancer Center

      Wrangling Computing Environments: Using Docker for Research

      Skills you'll gain: CI/CD, Containerization, Docker (Software), Development Environment, Application Deployment, Devops Tools, Debugging, GitHub, Software Versioning, Command-Line Interface, Software Installation

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Divide and Conquer, Sorting and Searching, and Randomized Algorithms

      Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Programming Principles, Probability & Statistics, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad Austral

      Excel aplicado a los negocios (Nivel Avanzado)

      Skills you'll gain: Excel Macros, Microsoft Excel, Excel Formulas, Spreadsheet Software, Business Analysis, Data Validation, Business Analytics, Data Import/Export, Data Maintenance, Process Optimization, Data Analysis Software, Business Modeling, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Legal Risk Mitigation: Proactive Case Analysis

      Skills you'll gain: Prompt Engineering, Risk Management Framework, Legal Risk, Risk Control, Risk Mitigation, Generative AI, Compliance Management, Governance Risk Management and Compliance, Regulatory Compliance, Legal Strategy, Data Ethics, Law, Regulation, and Compliance, Artificial Intelligence, Ethical Standards And Conduct, Data Analysis

      Advanced · Course · 1 - 4 Weeks

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

      Google

      Use AI Responsibly

      Skills you'll gain: Data Ethics, Security Awareness, Artificial Intelligence, Diversity Awareness, Risk Management Framework, Ethical Standards And Conduct, Information Privacy, Data Security, Social Sciences

      4.9
      Rating, 4.9 out of 5 stars
      ·
      42 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Harnessing LLMs & Text-Embeddings API with Google Vertex AI

      Skills you'll gain: Large Language Modeling, Google Cloud Platform, Cloud API, Generative AI, Prompt Engineering, Application Programming Interface (API), Data Visualization, Unsupervised Learning, Natural Language Processing, Applied Machine Learning, Scalability

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      W

      Whizlabs

      Microsoft Copilot: Power Platform & Security Best Practices

      Skills you'll gain: Microsoft Copilot, Microsoft Power Platform, Microsoft 365, Security Management, Productivity Software, Threat Detection, Compliance Management, Artificial Intelligence, Automation, Operational Efficiency, Incident Response, Generative AI

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Master Retrieval-Augmented Generation (RAG) Systems

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Interactive Data Visualization, Text Mining, Data Processing, Unstructured Data, Scalability

      Intermediate · Course · 1 - 3 Months

    Searches related to data science

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    1…515253…834

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

    • GIS, Mapping, and Spatial Analysis: University of Toronto
    • Comparative Political Systems: Università di Napoli Federico II
    • Fundamentals of Digital Transformation: Dartmouth College
    • Advanced ML Algorithms & Unsupervised Learning: Packt
    • Wrangling Computing Environments: Using Docker for Research: Fred Hutchinson Cancer Center
    • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
    • Excel aplicado a los negocios (Nivel Avanzado): Universidad Austral
    • GenAI for Legal Risk Mitigation: Proactive Case Analysis: Coursera Instructor Network
    • Use AI Responsibly: Google
    • Harnessing LLMs & Text-Embeddings API with Google Vertex AI: Packt

    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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