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  • Introduction To Data Science

Results for "introduction to data science"


  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Visual Analytics with Tableau

    Skills you'll gain: Data Visualization, Advanced Analytics, Tableau Software, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Pivot Tables And Charts, Data Mapping, Tree Maps, Analytics, Data Analysis Expressions (DAX), Histogram, Scatter Plots, Geospatial Mapping, Heat Maps, Forecasting

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

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
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    C

    Coursera

    Agentic AI Content for Practitioners (Teams: Legal)

    Skills you'll gain: Agentic Workflows, Agentic systems, Contract Compliance, Organizational Change, Legal Technology, Change Management, Contract Review, AI Enablement, Compliance Reporting, Compliance Management, Workflow Management, Regulation and Legal Compliance, Scalability, Automation, Process Design, Risk Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    AI for Scientific Research

    Skills you'll gain: Data Preprocessing, Feature Engineering, Model Evaluation, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Data Transformation, NumPy, Classification Algorithms, Tensorflow, Artificial Neural Networks, Machine Learning, Data Science

    3.2
    Rating, 3.2 out of 5 stars
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    86 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Convolutional Neural Networks, Responsible AI, Artificial Neural Networks, Data Ethics, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
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    2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    A

    AI CERTs

    Responsible AI Principles

    Skills you'll gain: Responsible AI, AI Security, Data Ethics, Governance, Data Governance, Law, Regulation, and Compliance, Ethical Standards And Conduct, Compliance Training, Artificial Intelligence, Business Ethics, Compliance Management, Accountability, Regulatory Requirements, Governance Risk Management and Compliance, General Data Protection Regulation (GDPR), Personally Identifiable Information, Information Privacy, Stakeholder Engagement

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Google データアナリティクス

    Skills you'll gain: Rmarkdown, Data Presentation, Data Ethics, Data Storytelling, Data Visualization, Data Cleansing, Stakeholder Communications, Analytical Skills, Data-Driven Decision-Making, Interactive Data Visualization, Data Visualization Software, Data Validation, Dashboard, Ggplot2, Interviewing Skills, Case Studies, Data Access, Spreadsheet Software, Data Analysis, Data Manipulation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    614 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
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    E

    EDUCBA

    Analyze and Apply Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Data Processing, Network Architecture, Feature Engineering, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    C

    Coursera

    Agentic AI Content for Practitioners (Teams: HR)

    Skills you'll gain: AI Enablement, Business Process Automation, Digital Transformation, Employee Engagement, Recruitment

    Intermediate · Course · 1 - 4 Weeks

  • 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, Asset Management, Data Manipulation, Data Transformation, Microsoft 365, Data Cleansing, Data Import/Export, Data Quality

    4.6
    Rating, 4.6 out of 5 stars
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    632 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
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    C

    Coursera

    Databricks Machine Learning Fundamentals

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Agentic AI and AI Agents: A Primer for Leaders

    Skills you'll gain: Generative AI Agents, Agentic Workflows, AI Orchestration, Workflow Management, AI Enablement, Agentic systems, Artificial Intelligence, Business Process Automation, Generative AI, AI Product Strategy, Automation, AI Personalization, Prompt Engineering, Tool Calling, Emerging Technologies, Responsible AI

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Visual Analytics with Tableau: University of California, Davis
  • Agentic AI Content for Practitioners (Teams: Legal): Coursera
  • AI for Scientific Research: LearnQuest
  • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
  • Responsible AI Principles: AI CERTs
  • Practical Machine Learning: Johns Hopkins University
  • Google データアナリティクス: Google
  • Analyze and Apply Deep Learning for Computer Vision: EDUCBA
  • Agentic AI Content for Practitioners (Teams: HR): Coursera
  • Microsoft PL-300 Exam Preparation and Practice: Microsoft

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