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    Results for "data science"

    • Status: New
      New
      W

      Whizlabs

      Azure ML: Explore & Configure the Machine Learning Workspace

      Skills you'll gain: Statistical Modeling, Microsoft Azure, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistics, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Management, Virtual Machines

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Data Manipulation and Transactions in SQL Server

      Skills you'll gain: Transact-SQL, Transaction Processing, Microsoft SQL Servers, SQL, Stored Procedure, Data Manipulation, Relational Databases, Databases, Data Integrity, Generative AI

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      SQL Foundations

      Skills you'll gain: Microsoft SQL Servers, SQL, Transact-SQL, Data Transformation, Relational Databases, Data Manipulation, Databases, Database Management, Microsoft Copilot, Generative AI, Data Analysis

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft SQL Server

      Skills you'll gain:

      Beginner · Professional Certificate · 1 - 3 Months

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Introducción a la Ciencia de Datos

      Skills you'll gain: Predictive Analytics, Unsupervised Learning, Data Cleansing, Exploratory Data Analysis, Data Visualization, Dimensionality Reduction, Data Science, Descriptive Analytics, Supervised Learning, Regression Analysis, Scientific Visualization, Data-Driven Decision-Making, Data Processing, Time Series Analysis and Forecasting, Pandas (Python Package), Data Visualization Software, Statistical Machine Learning, Data Manipulation, Statistical Visualization, Machine Learning

      Credit offered

      Mastertrack · 6 - 12 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Security, Maintenance & Integration with BI Tools

      Skills you'll gain:

      Beginner · Course

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Relational Database Design and Advanced Querying

      Skills you'll gain:

      Beginner · Course

    • P

      Pontificia Universidad Católica de Chile

      Magíster en Ciencia de Datos

      Skills you'll gain: Revenue Management, Data Ethics, Customer Analysis, Descriptive Analytics, FinTech, Database Design, People Analytics, Time Series Analysis and Forecasting, Biostatistics, Predictive Analytics, Statistical Reporting, Unsupervised Learning, Digital Transformation, Deep Learning, Risk Analysis, Bayesian Statistics, Exploratory Data Analysis, Cloud Security, Network Model, Data Visualization

      Earn a degree

      Degree · 1 - 4 Years

    • U

      Universidad de los Andes

      Maestría en Inteligencia Analítica de Datos

      Skills you'll gain: Systems Thinking, Network Analysis, Unsupervised Learning, Data Storytelling, Deep Learning, Predictive Modeling, Data Presentation, Risk Analysis, Time Series Analysis and Forecasting, Project Management Life Cycle, MLOps (Machine Learning Operations), Marketing Analytics, Cash Flows, Matplotlib, Descriptive Analytics, Statistical Analysis, Simulations, Random Forest Algorithm, Operations Research, Solution Design

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      W

      Whizlabs

      Azure AI & ML: Optimize Language Models for AI Applications

      Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Prompt Engineering, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Applied Machine Learning, Large Language Modeling, Continuous Monitoring, Generative AI, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Analítica de datos: visualización, predicción y toma de decisiones Certificado MasterTrack®

      Skills you'll gain: Network Analysis, Data Storytelling, Predictive Modeling, Data Presentation, Marketing Analytics, Cash Flows, Product Marketing, Matplotlib, Financial Data, Financial Statement Analysis, Portfolio Management, Data Cleansing, Advertising, Applied Machine Learning, Statistical Machine Learning, Random Forest Algorithm, Operations Research, Natural Language Processing, Mathematical Modeling, Systems Analysis

      Credit offered

      Mastertrack · 6 - 12 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Indexing, Performance Optimization & Functions in SQL Server

      Skills you'll gain:

      Beginner · Course

    Searches related to data science

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    1…152153154155

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

    • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
    • Data Manipulation and Transactions in SQL Server: Microsoft
    • SQL Foundations: Microsoft
    • Microsoft SQL Server: Microsoft
    • Certificado en Introducción a la Ciencia de Datos: Pontificia Universidad Católica de Chile
    • Security, Maintenance & Integration with BI Tools: Microsoft
    • Relational Database Design and Advanced Querying: Microsoft
    • Magíster en Ciencia de Datos: Pontificia Universidad Católica de Chile
    • Maestría en Inteligencia Analítica de Datos: Universidad de los Andes
    • Azure AI & ML: Optimize Language Models for AI Applications: Whizlabs

    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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