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Results for "open source tools for data science"


  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Classification Algorithms, Data Transformation, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    114 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Modeling and Predicting Climate Anomalies

    Skills you'll gain: Statistical Analysis, Matplotlib, Regression Analysis, Statistical Modeling, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Data Science, Environmental Policy, Data Analysis, Energy and Utilities, Data Visualization, Pandas (Python Package), Supervised Learning, Climate Change Mitigation, Anomaly Detection, Environment, Political Sciences

    4.4
    Rating, 4.4 out of 5 stars
    ·
    11 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Front-End Developer

    Skills you'll gain: User Research, Cascading Style Sheets (CSS), User Experience Design, User Experience, Design Research, Linux Commands, Usability, Debugging, User Interface (UI), Software Versioning, Software Visualization, Web Content Accessibility Guidelines, Pseudocode, JavaScript Frameworks, User Interface and User Experience (UI/UX) Design, Javascript, Web Applications, Event-Driven Programming, Application Programming Interface (API), Node.JS

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python 3 Programming

    Skills you'll gain: Unified Modeling Language, Debugging, JSON, Object Oriented Programming (OOP), File I/O, Software Design, Object Oriented Design, Data Processing, Web Scraping, Unit Testing, Data Structures, Programming Principles, Python Programming, Data Import/Export, Restful API, Image Analysis, Integrated Development Environments, Data Manipulation, Jupyter, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of User Experience (UX) Design

    Skills you'll gain: User Experience, User Experience Design, User Research, Design Thinking, Persona (User Experience), Usability, User Centered Design, User Interface (UI), Mockups, Prototyping, Sprint Retrospectives, Wireframing, Sprint Planning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    75K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

    Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Artificial Neural Networks, Model Evaluation, API Design, Computer Vision

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Artificial Intelligence, Computer Vision, Dimensionality Reduction, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    289 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    K

    King Abdullah University of Science and Technology

    Fundamental Skills in Bioinformatics

    Skills you'll gain: Statistical Analysis, Bioinformatics, Unix, Scientific Visualization, R Programming, Rmarkdown, Unix Commands, Data Analysis, Data Quality, Statistical Hypothesis Testing, Exploratory Data Analysis, Pandas (Python Package), Python Programming, NumPy, Data Manipulation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    91 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Neurohacking In R

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Image Analysis, Data Manipulation, Neurology, R Programming, Data Processing, Scientific Visualization, Data Preprocessing, Data Transformation, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    314 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    New York University

    Fundamentals of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks

    3.7
    Rating, 3.7 out of 5 stars
    ·
    341 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Graph Theory, Probability, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    488 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Statistical Visualization, Jupyter, Dimensionality Reduction, Data Science, Machine Learning Methods, Python Programming, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    298 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Machine Learning with Apache Spark: IBM
  • Modeling and Predicting Climate Anomalies: University of Colorado Boulder
  • Meta Front-End Developer: Meta
  • Python 3 Programming: University of Michigan
  • Foundations of User Experience (UX) Design: Google
  • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
  • Deep Learning and Reinforcement Learning: IBM
  • Fundamental Skills in Bioinformatics: King Abdullah University of Science and Technology
  • Introduction to Neurohacking In R: Johns Hopkins University
  • Fundamentals of Machine Learning in Finance: New York University

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