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    Results for "data science"

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Healthcare Data Quality and Governance

      Skills you'll gain: Data Governance, Data Quality, Data Validation, Data Management, Data Cleansing, Health Information Management, Metadata Management, Health Informatics, Technical Communication, Change Control

      4.6
      Rating, 4.6 out of 5 stars
      ·
      130 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      Status: New AI skills
      New AI skills
      A

      Adobe

      Adobe Graphic Designer

      Skills you'll gain: Photo Editing, Color Theory, Adobe Illustrator, Typography, Adobe Photoshop, Adobe Acrobat, Design, Graphic and Visual Design Software, Document Management, Generative AI, Graphic and Visual Design, Design Elements And Principles, Web Content Accessibility Guidelines, Graphic Design, Logo Design, Photography, Data Ethics, Workflow Management, Adobe Creative Cloud, Collaborative Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      873 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      People Analytics

      Skills you'll gain: People Analytics, Human Capital, Talent Management, Human Resources Management and Planning, Workforce Planning, Performance Analysis, Data-Driven Decision-Making, Analytics, Employee Retention, Data Analysis, Employee Performance Management, Predictive Analytics, Network Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Princeton University

      Algorithms, Part II

      Skills you'll gain: Graph Theory, Data Structures, Algorithms, Theoretical Computer Science, Operations Research, Computational Thinking, Computer Programming, Network Routing, Programming Principles, Network Model, Java Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 3 - 6 Months

    • C

      Campus BBVA

      Business Analytics

      Skills you'll gain: Data Storytelling, Data-Driven Decision-Making, Business Analytics, Dashboard, Data Quality, Data Analysis, Descriptive Statistics, Business Intelligence, Statistical Methods, Data Management, Probability & Statistics, Statistical Inference, Statistics, Big Data

      4.5
      Rating, 4.5 out of 5 stars
      ·
      165 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      California Institute of the Arts

      Game Design: Art and Concepts

      Skills you'll gain: Animation and Game Design, Game Design, Animations, Prototyping, Conceptual Design, Storytelling, Software Design Documents, Ideation, Visualization (Computer Graphics), Storyboarding, Video Game Development, Virtual Environment, Art History, Technical Design, Usability Testing, Creative Design, Design Strategies, Graphic and Visual Design, Design, Design Elements And Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      Università di Napoli Federico II

      Global Politics

      Skills you'll gain: International Relations, Political Sciences, Social Sciences, World History, Governance, Cultural Diversity, Research Methodologies, Economics, Environment and Resource Management, Security Strategy

      4.4
      Rating, 4.4 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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, SQL, Dataflow, 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

    • Status: Free Trial
      Free Trial
      S

      Salesforce

      Salesforce Sales Operations

      Skills you'll gain: Sales Pipelines, Sales Process, Sales Operations, Customer Success Management, Order Management, Sales Management, Salesforce, Dashboard, Sales, Sales Development, Customer Relationship Management (CRM) Software, Lead Generation, Request For Quotation (RFQ), Sales Support, Sales Enablement, Customer Relationship Management, Product Knowledge, B2B Sales, Campaign Management, Data Visualization

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.9K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      N
      G
      N
      G

      Multiple educators

      Machine Learning for Trading

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Neural Networks, Market Trend, Securities Trading, Artificial Intelligence and Machine Learning (AI/ML), Financial Market

      3.9
      Rating, 3.9 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Probabilistic Models

      Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Data Cleansing, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Data Analytics (PT)

      Skills you'll gain: Data Cleansing, Rmarkdown, Data Storytelling, Data Presentation, Data Validation, Spreadsheet Software, Data Visualization, Data Ethics, Data Literacy, Tableau Software, Data Visualization Software, Data Analysis, Ggplot2, Analytical Skills, Stakeholder Communications, Presentations, SQL, Data Quality, Data Collection, Data Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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    1…596061…834

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

    • Healthcare Data Quality and Governance: University of California, Davis
    • Adobe Graphic Designer: Adobe
    • People Analytics: University of Pennsylvania
    • Algorithms, Part II: Princeton University
    • Business Analytics: Campus BBVA
    • Game Design: Art and Concepts: California Institute of the Arts
    • Global Politics: Università di Napoli Federico II
    • Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs: Google Cloud
    • Salesforce Sales Operations: Salesforce
    • Machine Learning for Trading: New York Institute of Finance

    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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