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  • Open Source Tools For Data Science

Results for "open source tools for data science"


  • Status: Preview
    Preview
    I

    Icahn School of Medicine at Mount Sinai

    Big Data Science with the BD2K-LINCS Data Coordination and Integration Center

    Skills you'll gain: Bioinformatics, Interactive Data Visualization, Supervised Learning, Machine Learning, Big Data, Data Integration, Unsupervised Learning, Data Processing, Data Analysis, Metadata Management, Application Programming Interface (API), Restful API

    4.8
    Rating, 4.8 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Numerical Methods for Engineers

    Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    411 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Engineers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Snowflake Schema, Star Schema, Responsible AI, Data Warehousing, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Deep Learning, Augmented and Virtual Reality (AR/VR), Machine Learning, Context Management

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    AI For Business

    Skills you'll gain: AI Personalization, Fraud detection, Generative AI, Responsible AI, Data Ethics, AI Enablement, AI Product Strategy, Data Governance, Big Data, Business Strategies, Machine Learning Algorithms, Generative Adversarial Networks (GANs), Data Security, Governance, Human Resources, Customer Data Management, Credit Risk, Data-Driven Decision-Making, Machine Learning, Analytics

    4.7
    Rating, 4.7 out of 5 stars
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    1.8K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Virginia

    Design Thinking: Discovery Tools

    Skills you'll gain: Design Thinking, Stakeholder Analysis, Human Centered Design, Persona Development, Value Engineering, User Research, Customer experience improvement, Qualitative Research, Customer Insights, Process Analysis, Strategic Thinking, Innovation, Interviewing Skills

    4.7
    Rating, 4.7 out of 5 stars
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    39 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Starweaver

    Automation for Business

    Skills you'll gain: Business Process Automation, Automation, Business Process, IT Automation, Workflow Management, Robotic Process Automation, Business Workflow Analysis, Business Technologies, Operational Efficiency, Compliance Management, Security Controls, Continuous Improvement Process, Return On Investment, Change Management

    4.2
    Rating, 4.2 out of 5 stars
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    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Build AI Apps Like a Pro: No-Code Tools for Beginners

    Skills you'll gain: User Story, Prompt Engineering, No-Code Development, User Feedback, Technical Communication, Application Deployment, AI Security, Performance Tuning, Data Wrangling, Version Control, Business Process Automation, API Testing, DevSecOps, Site Reliability Engineering, Integration Testing, Application Security, Application Programming Interface (API), Agile Methodology, LLM Application, Data Integration

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI and LLMs: Architecture and Data Preparation

    Skills you'll gain: Large Language Modeling, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Hugging Face, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Data Preprocessing, Artificial Intelligence, Recurrent Neural Networks (RNNs)

    4.7
    Rating, 4.7 out of 5 stars
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    394 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Applied Statistics for Data Analytics

    Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Statistical Visualization, Descriptive Statistics, Data Analysis, Histogram, Probability Distribution, Correlation Analysis, Statistical Inference, Estimation, Simulation and Simulation Software, Sampling (Statistics), LLM Application, Spreadsheet Software

    4.9
    Rating, 4.9 out of 5 stars
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    54 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    T

    The University of Edinburgh

    Philosophy, Science and Religion: Science and Philosophy

    Skills you'll gain: Research, Scientific Methods, General Science and Research, Biology, Cultural Diversity

    4.5
    Rating, 4.5 out of 5 stars
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    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The University of Edinburgh

    Philosophy, Science and Religion: Religion and Science

    Skills you'll gain: Discussion Facilitation, Culture, Research, Diversity Awareness, Science and Research, Systems Thinking, Anthropology, Biology, Physical Science, Ethical Standards And Conduct

    4.7
    Rating, 4.7 out of 5 stars
    ·
    205 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Question Reality! Science, philosophy, a search for meaning

    Skills you'll gain: Computational Logic, Scientific Methods, Theoretical Computer Science, Logical Reasoning, Physics, Experimentation, Laboratory Experience, Physical Science, Artificial Intelligence, Computational Thinking, Mathematics and Mathematical Modeling, Simulations, Psychology, Science and Research, General Science and Research, Ancient History, Vibrations, Mechanics, Chemistry, Laboratory Equipment

    4.7
    Rating, 4.7 out of 5 stars
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    39 reviews

    Beginner · Specialization · 1 - 3 Months

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In summary, here are 10 of our most popular open source tools for data science courses

  • Big Data Science with the BD2K-LINCS Data Coordination and Integration Center: Icahn School of Medicine at Mount Sinai
  • Numerical Methods for Engineers: The Hong Kong University of Science and Technology
  • Generative AI for Data Engineers: IBM
  • AI For Business: University of Pennsylvania
  • Design Thinking: Discovery Tools: University of Virginia
  • Automation for Business: Starweaver
  • Build AI Apps Like a Pro: No-Code Tools for Beginners: Coursera
  • Generative AI and LLMs: Architecture and Data Preparation: IBM
  • Applied Statistics for Data Analytics: DeepLearning.AI
  • Philosophy, Science and Religion: Science and Philosophy: The University of Edinburgh

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