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    Results for "data science"

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Sports Performance Analytics

      Skills you'll gain: Forecasting, Statistical Methods, Regression Analysis, Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Correlation Analysis, Predictive Analytics, Predictive Modeling, Matplotlib, Applied Machine Learning, Kinesiology, Injury Prevention, Statistical Machine Learning, Analytics, Data Analysis, Statistical Analysis, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      257 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      An Introduction to Interactive Programming in Python (Part 1)

      Skills you'll gain: Event-Driven Programming, Application Development, Interactive Design, Programming Principles, Computer Graphics, Python Programming, Game Design, Computer Programming, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 3 Months

    • E

      EDUCBA

      Data Center Security Management with Microsoft System Center

      Skills you'll gain: Incident Response, Incident Management, Data Centers, DevSecOps, System Monitoring, Threat Detection, Infrastructure Security, Microsoft Servers, Security Management, Payment Card Industry (PCI) Data Security Standards, Information Systems Security, Windows Servers, IT Infrastructure, Security Information and Event Management (SIEM), Disaster Recovery, IT Automation, Virtual Machines, Configuration Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      37 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Sample-based Learning Methods

      Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft PL-300 Exam Preparation and Practice

      Skills you'll gain: Power BI, Microsoft Copilot, Data Visualization Software, Data Storytelling, Data Modeling, Interactive Data Visualization, Data Analysis, Microsoft Power Platform, Microsoft Azure, Extract, Transform, Load, Data Transformation, Data Cleansing, Data Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      476 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of London

      Finding Your Professional Voice: Confidence & Impact

      Skills you'll gain: Public Speaking, Verbal Communication Skills, Assertiveness, Self-Awareness, Communication, Personal Attributes, Executive Presence, Emotional Intelligence, Mindfulness, Respiration, Stress Management, Anatomy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Text Mining and Analytics

      Skills you'll gain: Text Mining, Data Mining, Unstructured Data, Statistical Analysis, Natural Language Processing, Analytics, Data Analysis, Unsupervised Learning, Probability & Statistics, Regression Analysis, Predictive Modeling, Supervised Learning, Machine Learning Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      735 reviews

      Mixed · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      AI Python for Beginners

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Artificial Intelligence, Jupyter, Python Programming, Data Analysis, ChatGPT, Application Development, Generative AI, Scripting, Automation, Computer Programming, Application Programming Interface (API)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      122 reviews

      Beginner · Course · 1 - 4 Weeks

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Biochemical Principles of Energy Metabolism

      Skills you'll gain: Biochemistry, Respiration, Pathology, Biology, Life Sciences, Nutrition and Diet, Chronic Diseases, Molecular Biology, Clinical Nutrition, Internal Medicine, Oncology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      814 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Algorithms for DNA Sequencing

      Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences

      4.7
      Rating, 4.7 out of 5 stars
      ·
      924 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Visual Analytics with Tableau

      Skills you'll gain: Data Mapping, Data Visualization Software, Tableau Software, Graphing, Histogram, Scatter Plots, Tree Maps, Data Visualization, Statistical Visualization, Interactive Data Visualization, Data Presentation, Geospatial Mapping, Heat Maps, Pivot Tables And Charts, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SAP

      SAP Professional Fundamentals

      Skills you'll gain: Consulting, Relationship Management, Business Consulting, Product Strategy, SAP Applications, Technical Consulting, Relationship Building, Project Management, Project Management Life Cycle, Consultative Approaches, Project Implementation, Agile Methodology, Waterfall Methodology, Solution Delivery, Enterprise Resource Planning, Systems Thinking, User Acceptance Testing (UAT), Design Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      902 reviews

      Beginner · Course · 1 - 3 Months

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

    • Sports Performance Analytics: University of Michigan
    • An Introduction to Interactive Programming in Python (Part 1): Rice University
    • Data Center Security Management with Microsoft System Center: EDUCBA
    • Sample-based Learning Methods: University of Alberta
    • Microsoft PL-300 Exam Preparation and Practice: Microsoft
    • Finding Your Professional Voice: Confidence & Impact: University of London
    • Text Mining and Analytics: University of Illinois Urbana-Champaign
    • AI Python for Beginners: DeepLearning.AI
    • Biochemical Principles of Energy Metabolism: Korea Advanced Institute of Science and Technology(KAIST)
    • Algorithms for DNA Sequencing: Johns Hopkins University

    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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