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  • Python 20 For 20 Beginners

Results for "python%20for%20beginners"


  • 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
    ·
    113 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    Northwestern University

    Modern Robotics, Course 2: Robot Kinematics

    Skills you'll gain: Robotics, Mathematical Modeling, Mathematical Software, Engineering Calculations, Applied Mathematics, Engineering Analysis, Mechanics, Simulation and Simulation Software, Engineering, Virtual Environment, Torque (Physics), Numerical Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    298 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    High-Performance and Parallel Computing

    Skills you'll gain: Bash (Scripting Language), Distributed Computing, Scalability, Software Architecture, File I/O, Big Data, Operating Systems, File Systems, Cloud Development, Scripting, Command-Line Interface, C and C++, Performance Tuning, Linux, Programming Principles, Computer Architecture, Communication Systems

    3.8
    Rating, 3.8 out of 5 stars
    ·
    169 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Cybersécurité Google

    Skills you'll gain: Vulnerability Management, Threat Modeling, Open Web Application Security Project (OWASP), Intrusion Detection and Prevention, Incident Response, Computer Security Incident Management, Stakeholder Communications, Vulnerability Assessments, Threat Detection, Event Monitoring, Hardening, Network Security, Security Controls, Threat Management, Security Information and Event Management (SIEM), TCP/IP, Cybersecurity, Linux, Debugging, SQL

    4.7
    Rating, 4.7 out of 5 stars
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    464 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    721 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Machine Learning Models in Science

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Dimensionality Reduction, Data Cleansing, Scikit Learn (Machine Learning Library), Data Transformation, Artificial Neural Networks, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Supervised Learning, Classification Algorithms, Predictive Modeling, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Data Analysis and Hypothesis Testing

    Skills you'll gain: Data Visualization, Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Preprocessing, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Manipulation, Python Programming, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    127 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Fake News Detection with Machine Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Exploratory Data Analysis, Deep Learning, Text Mining, Matplotlib, Data Cleansing, Data Analysis, Data Preprocessing, Natural Language Processing, Data Manipulation, Python Programming, Machine Learning, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    264 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Approximation Algorithms and Linear Programming

    Skills you'll gain: Operations Research, Algorithms, Graph Theory, Linear Algebra, Combinatorics, Computational Thinking, Mathematical Modeling, Theoretical Computer Science, Python Programming

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    51 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Visualization with Plotly Express

    Skills you'll gain: Plotly, Interactive Data Visualization, Data Visualization Software, Scatter Plots, Ggplot2, Data Analysis, Python Programming, Data Science, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    269 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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
    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

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In summary, here are 10 of our most popular python%20for%20beginners courses

  • Machine Learning with Apache Spark: IBM
  • Modern Robotics, Course 2: Robot Kinematics: Northwestern University
  • High-Performance and Parallel Computing: University of Colorado Boulder
  • Cybersécurité Google: Google
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Machine Learning Models in Science: LearnQuest
  • AI Workflow: Data Analysis and Hypothesis Testing: IBM
  • Fake News Detection with Machine Learning: Coursera
  • Approximation Algorithms and Linear Programming : University of Colorado Boulder
  • Data Visualization with Plotly Express: Coursera

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