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    Results for "data science"

    • Status: Free Trial
      Free Trial
      M

      Meta

      Marketing Analytics Foundation

      Skills you'll gain: Data Collection, Marketing, Marketing Analytics, Google Analytics, Digital Marketing, Application Programming Interface (API), Personally Identifiable Information, Web Analytics, Information Privacy, Data Integration, Analytics, Facebook, Data-Driven Decision-Making, Advertising

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Drug Development

      Skills you'll gain: Clinical Trials, Clinical Research, Pharmaceuticals, Regulatory Affairs, Pharmacology, Medical Science and Research, Health Care Procedure and Regulation, Commercialization, Patient Safety

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Human-Centered Design: an Introduction

      Skills you'll gain: Interaction Design, Usability, Human Centered Design, Mockups, Storyboarding, User Experience Design, Design Thinking, Prototyping, User Research, Creativity, Interviewing Skills

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.8K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      N

      New York University

      Introduction to Cyber Attacks

      Skills you'll gain: Security Engineering, Threat Modeling, Distributed Denial-Of-Service (DDoS) Attacks, Cyber Attacks, Cybersecurity, Cyber Risk, Information Systems Security, Network Security, Computer Security, Malware Protection, Encryption, Data Integrity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Parallel, Concurrent, and Distributed Programming in Java

      Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Java Programming, Java, Software Architecture, Systems Architecture, Data Structures, System Programming, Programming Principles, Servers, Application Frameworks, Debugging, Algorithms, Performance Tuning, Network Protocols, Computer Science, Functional Design, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • L

      Lund University

      AI & Law

      Skills you'll gain: Legal Risk, Law, Regulation, and Compliance, Regulation and Legal Compliance, Artificial Intelligence, Intellectual Property, Legal Proceedings, Data Ethics, Labor Law, Legal Research, Innovation, Criminal Investigation and Forensics, Public Administration, Healthcare Industry Knowledge

      4.7
      Rating, 4.7 out of 5 stars
      ·
      676 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Introduction to GIS Mapping

      Skills you'll gain: ArcGIS, Spatial Data Analysis, Geographic Information Systems, Geospatial Mapping, Data Mapping, Global Positioning Systems, Data Modeling, Data Capture

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.3K reviews

      Beginner · Course · 1 - 3 Months

    • T

      The University of Edinburgh

      The Truth About Cats and Dogs

      Skills you'll gain: Behavior Management, Cultural Diversity, Scientific Methods, Non-Verbal Communication, General Science and Research, Ethical Standards And Conduct, Biology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Supervised Machine Learning: Regression

      Skills you'll gain: Supervised Learning, Regression Analysis, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Statistical Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Pandas (Python Package), Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      738 reviews

      Intermediate · Course · 1 - 3 Months

    • T

      Technical University of Denmark (DTU)

      Antimicrobial resistance - theory and methods

      Skills you'll gain: Laboratory Testing, Quality Assurance, Microbiology, Infectious Diseases, Bioinformatics, Clinical Laboratory Science, Epidemiology, Medical Science and Research, Public Health, Pharmacology, Molecular Biology, Data Sharing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Create Mapping Data Flows in Azure Data Factory

      Skills you'll gain: Data Mapping, Microsoft Azure, Data Transformation, Data Pipelines, Extract, Transform, Load, Dataflow, Data Processing, Data Integration, Data Storage

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      MedCerts

      Professionalism in Allied Health

      Skills you'll gain: Healthcare Ethics, Conflict Management, Cultural Responsiveness, Patient Education And Counseling, Cultural Diversity, Cultural Sensitivity, Professionalism, Professional Development, Time Management, Emotional Intelligence, Teamwork, Interpersonal Communications, Conscientiousness, Communication, Trustworthiness, Compassion, Empathy, Ethical Standards And Conduct, Medical Privacy, Medical Office Procedures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      749 reviews

      Beginner · Course · 1 - 3 Months

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    1…858687…834

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

    • Marketing Analytics Foundation: Meta
    • Drug Development: University of California San Diego
    • Human-Centered Design: an Introduction: University of California San Diego
    • Introduction to Cyber Attacks: New York University
    • Parallel, Concurrent, and Distributed Programming in Java: Rice University
    • AI & Law : Lund University
    • Introduction to GIS Mapping: University of Toronto
    • The Truth About Cats and Dogs: The University of Edinburgh
    • Supervised Machine Learning: Regression: IBM
    • Antimicrobial resistance - theory and methods: Technical University of Denmark (DTU)

    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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