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    Results for "data science"

    • Status: Free Trial
      Free Trial
      N

      New York Institute of Finance

      Reinforcement Learning for Trading Strategies

      Skills you'll gain: Reinforcement Learning, Financial Trading, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Software, Applied Machine Learning, Markov Model, Machine Learning, Financial Market, Time Series Analysis and Forecasting

      3.5
      Rating, 3.5 out of 5 stars
      ·
      240 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Engineering Practices for Building Quality Software

      Skills you'll gain: Software Design Patterns, Software Design, Engineering Software, Software Quality Assurance, Software Engineering, Program Development, Application Security, Object Oriented Design, Software Architecture, Software Quality (SQA/SQC), Development Testing, Threat Modeling, Maintainability, Development Environment, Code Review, Application Deployment, Test Tools, Continuous Deployment, Quality Assurance, Continuous Delivery

      4.5
      Rating, 4.5 out of 5 stars
      ·
      436 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Columbia University

      The Age of Sustainable Development

      Skills you'll gain: Economic Development, Socioeconomics, Mitigation, Social Justice, Human Development, Environment, Environmental Policy, Health Policy, International Relations, Health Care, Public Health and Disease Prevention, Food Services, World History, Public Policies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.9K reviews

      Mixed · Course · 3 - 6 Months

    • D

      DeepLearning.AI

      Искусственный Интеллект (ИИ) для всех

      Skills you'll gain: Market Opportunities, Technical Management, Project Management, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Artificial Intelligence, Data Science, Artificial Neural Networks, Machine Learning, Strategic Thinking, Discussion Facilitation, Business Ethics, Deep Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      224 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of New Mexico

      Curanderismo: Traditional Healing Using Plants

      Skills you'll gain: Cultural Responsiveness, Cultural Diversity, Biology, Preventative Care, Health Care, Patient Education and Support, Health Assessment, Anatomy, Nutrition and Diet, Mental Health, Environmental Science, Stress Management, Scientific Methods

      4.7
      Rating, 4.7 out of 5 stars
      ·
      226 reviews

      Beginner · Course · 1 - 3 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Management of Urban Infrastructures – part 1

      Skills you'll gain: Energy and Utilities, Public Works, Transportation Management, Facility Management, Land Management, Operations Management, Asset Management, Civil Engineering, Construction Management, Stakeholder Management, Process Analysis, Public Administration, Operational Efficiency, Environmental Issue, Economics, Peer Review, Socioeconomics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      794 reviews

      Mixed · Course · 1 - 3 Months

    • S

      Siemens

      Applied Computational Fluid Dynamics

      Skills you'll gain: Engineering Analysis, Thermal Management, Hydraulics, Mechanical Engineering, Simulations, Numerical Analysis, Engineering Calculations, Mathematical Modeling, Engineering, Chemical Engineering, Civil Engineering, Physics, Test Case

      4.7
      Rating, 4.7 out of 5 stars
      ·
      161 reviews

      Intermediate · Course · 1 - 3 Months

    • T

      The Hong Kong University of Science and Technology

      Mastering Statics

      Skills you'll gain: Structural Analysis, Mechanics, Engineering Calculations, Mechanical Engineering, Civil Engineering, Engineering Analysis, Engineering Drawings, Geometry, Algebra, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      227 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Scrum Master Certification: Scaling Agile and the Team-of-Teams

      Skills you'll gain: Scaled Agile Framework, Agile Software Development, Agile Methodology, Scalability, Behavior-Driven Development, Agile Product Development, Agile Project Management, Sprint Planning, Software Development, Continuous Integration, Virtualization, Program Development, Virtual Environment, Test Driven Development (TDD), Hardware Architecture

      4.5
      Rating, 4.5 out of 5 stars
      ·
      462 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Excel Skills for Business Forecasting

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Financial Forecasting, Regression Analysis, Microsoft Excel, Demand Planning, Excel Formulas, Trend Analysis, Business Mathematics, Predictive Modeling, Business Metrics, Strategic Thinking, Data Presentation, Statistical Visualization, Graphing, Market Trend, Business Economics, Key Performance Indicators (KPIs), Statistical Modeling, Exploratory Data Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      306 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Lean Software Development

      Skills you'll gain: Design Thinking, Process Mapping, Kanban Principles, Lean Methodologies, Lean Manufacturing, Agile Software Development, Workflow Management, Business Workflow Analysis, Product Development, Agile Methodology, Lean Six Sigma, Process Improvement, Software Development, Software Development Methodologies, Continuous Improvement Process, Innovation, Product Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      421 reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      Eindhoven University of Technology

      RF and millimeter-Wave Circuit Design

      Skills you'll gain: Electronics Engineering, Electronics, Telecommunications, Electronic Systems, Electronic Components, Hardware Design, Electrical Engineering, Wireless Networks, Electronic Hardware, Systems Design, Simulation and Simulation Software, Simulations, Laboratory Experience

      4.7
      Rating, 4.7 out of 5 stars
      ·
      232 reviews

      Intermediate · Course · 1 - 3 Months

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

    • Reinforcement Learning for Trading Strategies: New York Institute of Finance
    • Engineering Practices for Building Quality Software: University of Minnesota
    • The Age of Sustainable Development: Columbia University
    • Искусственный Интеллект (ИИ) для всех: DeepLearning.AI
    • Curanderismo: Traditional Healing Using Plants: University of New Mexico
    • Management of Urban Infrastructures – part 1: École Polytechnique Fédérale de Lausanne
    • Applied Computational Fluid Dynamics: Siemens
    • Mastering Statics: The Hong Kong University of Science and Technology
    • Scrum Master Certification: Scaling Agile and the Team-of-Teams: LearnQuest
    • Excel Skills for Business Forecasting: Macquarie 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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