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    Results for "data science"

    • T

      The University of North Carolina at Chapel Hill

      Research Data Management and Sharing

      Skills you'll gain: Data Sharing, Data Management, File Management, Data Storage, Information Management, Data Strategy, Metadata Management, Data Governance, Document Management, Data Literacy, Data Quality, Data Integrity, Data Security, Version Control

      4.7
      Rating, 4.7 out of 5 stars
      ·
      720 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Data Science & Machine Learning Fundamentals

      Skills you'll gain: Feature Engineering, Data Science, Data Analysis, Business Analytics, Data Literacy, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis, Data Modeling, Classification And Regression Tree (CART), Statistical Analysis, Business Intelligence, Data Storytelling, Machine Learning, Supervised Learning, Data Cleansing, Exploratory Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 3 Months

    • K

      Knowledge Accelerators

      From Excel to Power BI

      Skills you'll gain: Power BI, Dashboard, Data Presentation, Interactive Data Visualization, Data Analysis Expressions (DAX), Data Import/Export, Microsoft Excel, Data Visualization Software, Business Intelligence, Data Modeling, Data-Driven Decision-Making, Data Sharing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Key Technologies for Business

      Skills you'll gain: Cloud Computing Architecture, Cloud Services, Large Language Modeling, Cloud Security, Data Literacy, Data Mining, Artificial Intelligence, Cloud Platforms, OpenAI, Cloud Computing, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Cloud Storage, Infrastructure As A Service (IaaS), Software As A Service, Big Data, Emerging Technologies, Data Analysis, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      101K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      AI For Everyone

      Skills you'll gain: Data Ethics, Market Opportunities, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Team Building, Machine Learning, Strategic Thinking, Data Science, Needs Assessment, Deep Learning, Business Ethics, Artificial Neural Networks, Engineering Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      48K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Exploratory Data Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Visualization, Plot (Graphics), Ggplot2, Dimensionality Reduction, Data Visualization Software, R Programming, Scatter Plots, Graphing, Box Plots, Data Analysis, Histogram, Statistical Analysis, Unsupervised Learning, Color Theory

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Amsterdam

      Classical Sociological Theory

      Skills you'll gain: Sociology, Social Studies, Social Sciences, Socioeconomics, Culture, Political Sciences, Economics, Qualitative Research, Research Methodologies

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Neural Networks and Deep Learning

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Machine Learning, Python Programming, Linear Algebra, Performance Tuning, Calculus

      4.9
      Rating, 4.9 out of 5 stars
      ·
      123K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      The Data Science of Health Informatics

      Skills you'll gain: Health Informatics, Health Care, Health Information Management, Databases, Healthcare Industry Knowledge, Clinical Data Management, Electronic Medical Record, Data Mining, Data Analysis, Data Quality, Interoperability, Big Data, Query Languages, Data Integration

      4.6
      Rating, 4.6 out of 5 stars
      ·
      217 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      CertNexus

      Finalize a Data Science Project

      Skills you'll gain: Applied Machine Learning, Machine Learning, Stakeholder Engagement, Data Presentation, Stakeholder Communications, MLOps (Machine Learning Operations), Web Applications, Project Closure, Data-Driven Decision-Making, Solution Delivery, Data Pipelines, Automation

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM DevOps and Software Engineering

      Skills you'll gain: CI/CD, Istio, Open Web Application Security Project (OWASP), Continuous Integration, Software Development Life Cycle, Software Architecture, Linux Commands, Agile Software Development, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Kubernetes, Bash (Scripting Language), DevOps, Git (Version Control System), Flask (Web Framework), Jupyter, Grafana

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Network Model, Computational Thinking, Network Analysis, Analysis, Network Routing, Probability, Operations Research, Design Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.9K reviews

      Intermediate · Specialization · 3 - 6 Months

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

    • Research Data Management and Sharing: The University of North Carolina at Chapel Hill
    • Data Science & Machine Learning Fundamentals: Corporate Finance Institute
    • From Excel to Power BI: Knowledge Accelerators
    • Key Technologies for Business: IBM
    • AI For Everyone: DeepLearning.AI
    • Exploratory Data Analysis: Johns Hopkins University
    • Classical Sociological Theory : University of Amsterdam
    • Neural Networks and Deep Learning: DeepLearning.AI
    • The Data Science of Health Informatics: Johns Hopkins University
    • Finalize a Data Science Project: CertNexus

    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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