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    Results for "data science"

    • Status: New
      New
      I

      IBM

      IBM Product Owner

      Skills you'll gain: User Story, Sprint Retrospectives, Backlogs, Agile Product Development, Agile Software Development, Stakeholder Communications, Agile Methodology, Kanban Principles, Product Roadmaps, Virtual Teams, Stakeholder Management, Information Technology, Agile Project Management, Computer Hardware, Product Strategy, Product Planning, Product Management, Cloud Computing, Communication, Sprint Planning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      T

      Technical University of Denmark (DTU)

      Wind Energy

      Skills you'll gain: Mechanical Engineering, Engineering Calculations, Engineering, High Voltage, Systems Engineering, Energy and Utilities, Time Series Analysis and Forecasting, Electrical Power, Structural Analysis, Financial Analysis, Environmental Monitoring, Failure Analysis, Engineering Design Process, Predictive Modeling, Geospatial Information and Technology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.2K reviews

      Mixed · Course · 3 - 6 Months

    • G

      Google

      Think Outside the Inbox: Email Marketing

      Skills you'll gain: Email Marketing, Campaign Management, Marketing Automation, Personally Identifiable Information, Newsletters, Content Marketing, Digital Marketing, Copywriting, Marketing Strategy and Techniques, HubSpot CRM, Customer Data Management, Promotional Strategies, Key Performance Indicators (KPIs), Performance Analysis, Customer Retention

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      Master of Applied Data Science

      Skills you'll gain: Data Ethics, Database Design, Reinforcement Learning, Supervised Learning, Data Visualization, Experimentation, PySpark, Interactive Data Visualization, Generative AI, Pandas (Python Package), Network Analysis, Deep Learning, Cloud Services, Linear Algebra, Natural Language Processing, JSON, Data Mining, Qualitative Research, Applied Machine Learning, Statistical Visualization

      Earn a degree

      Degree · 1 - 4 Years

    • Status: Free
      Free
      N

      Northeastern University

      Data Analytics Engineering: Probability & Techniques

      Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Statistical Analysis, Data Structures, Data Cleansing, Descriptive Statistics, Data Visualization Software, Python Programming

      Mixed · Course · 1 - 4 Weeks

    • S

      SAS

      Getting Started with SAS Programming

      Skills you'll gain: SAS (Software), Data Import/Export, Data Validation, Data Access, Data Manipulation, Exploratory Data Analysis, Data Analysis, SQL, Data Presentation, Microsoft Excel, Descriptive Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      I

      IBM

      IBM UI/UX Designer

      Skills you'll gain: User Story, UI/UX Research, Information Architecture, Wireframing, User Experience, Agile Software Development, User Centered Design, Agile Methodology, Usability, Kanban Principles, Backlogs, Usability Testing, Design Thinking, User Flows, User Experience Design, Prototyping, Sprint Retrospectives, Agile Project Management, Interaction Design, User Interface (UI) Design

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.4K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      JavaScript Programming with React, Node & MongoDB

      Skills you'll gain: Node.JS, Server Side, MongoDB, React Redux, NoSQL, Restful API, React.js, Back-End Web Development, Front-End Web Development, JavaScript Frameworks, Ajax, Javascript, UI Components, Application Deployment, Data Structures, Authentications, Debugging, Cloud Applications, Full-Stack Web Development, JSON

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      T

      The University of Edinburgh

      Code Yourself! An Introduction to Programming

      Skills you'll gain: Software Engineering, Video Game Development, Software Testing, Software Development, Programming Principles, Software Design, Game Design, Computer Programming, Animation and Game Design, Debugging, Computational Thinking, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Santa Cruz

      C for Everyone: Programming Fundamentals

      Skills you'll gain: Debugging, C (Programming Language), Code Review, Data Structures, Computer Programming, Program Development, Computer Science, Computational Thinking, Integrated Development Environments, Software Technical Review, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.6K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs

      Skills you'll gain: Data Warehousing, Google Cloud Platform, Big Data, Apache Spark, Database Management, Data Integration, Dataflow, SQL, Data Pipelines, Metadata Management, Data Management, Real Time Data, Tensorflow, Data Science, Command-Line Interface, Applied Machine Learning, Cloud-Based Integration, Query Languages, Power BI, Data Loss Prevention

      4.3
      Rating, 4.3 out of 5 stars
      ·
      125 reviews

      Intermediate · Specialization · 1 - 3 Months

    • J

      Johns Hopkins University

      Design and Interpretation of Clinical Trials

      Skills you'll gain: Clinical Trials, Scientific Methods, Medical Science and Research, Biostatistics, Data Collection, Ethical Standards And Conduct, Regulatory Compliance, Sample Size Determination, Statistical Methods, Statistical Analysis, Statistical Hypothesis Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.3K reviews

      Mixed · Course · 1 - 3 Months

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

    • IBM Product Owner: IBM
    • Wind Energy: Technical University of Denmark (DTU)
    • Think Outside the Inbox: Email Marketing: Google
    • Master of Applied Data Science: University of Michigan
    • Data Analytics Engineering: Probability & Techniques: Northeastern University
    • Getting Started with SAS Programming: SAS
    • IBM UI/UX Designer: IBM
    • JavaScript Programming with React, Node & MongoDB: IBM
    • Code Yourself! An Introduction to Programming: The University of Edinburgh
    • C for Everyone: Programming Fundamentals: University of California, Santa Cruz

    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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