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  • Python Oop

Results for "python oop"


  • Status: Free Trial
    Free Trial
    I

    IBM

    Java Programming for Beginners

    Skills you'll gain: Java Programming, Java, Development Environment, Computer Programming, Integrated Development Environments, Object Oriented Programming (OOP), Data Structures, File I/O, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    133 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Science with NumPy, Sets, and Dictionaries

    Skills you'll gain: NumPy, Data Structures, Data Analysis, Object Oriented Programming (OOP), Exploratory Data Analysis, Image Analysis, Data Science, Data Transformation, Data Manipulation, Big Data, Performance Tuning, Python Programming, Data Import/Export

    4
    Rating, 4 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Spark, Hadoop, and Snowflake for Data Engineering

    Skills you'll gain: PySpark, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, Database Architecture and Administration, DevOps, Distributed Computing, Data Transformation, SQL, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    63 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Parallel programming

    Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Algorithms, Functional Design, Java Programming, Other Programming Languages, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • 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

    Deep Learning with PyTorch : Image Segmentation

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Convolutional Neural Networks, Transfer Learning, Image Analysis, Deep Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    228 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Classification Algorithms, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    80 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to High-Performance and Parallel Computing

    Skills you'll gain: Bash (Scripting Language), Scalability, Distributed Computing, Big Data, Operating Systems, File Systems, Linux, Scripting, Command-Line Interface, Performance Tuning, Programming Principles, Computer Architecture

    Build toward a degree

    3.7
    Rating, 3.7 out of 5 stars
    ·
    158 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Cloud Data Engineering

    Skills you'll gain: Cloud-Native Computing, Software Engineering, Distributed Computing, Cloud Storage, Extract, Transform, Load, Google Cloud Platform, Big Data, Cloud Computing, Serverless Computing, Cloud Technologies, Data Lakes, Data Pipelines, Amazon Web Services, Command-Line Interface, Python Programming, Data Governance, NumPy, Rust (Programming Language)

    4.1
    Rating, 4.1 out of 5 stars
    ·
    92 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Applied Data Analytics

    Skills you'll gain: Power BI, Data Visualization, Data Analysis Expressions (DAX), Matplotlib, Plotly, Data Analysis, Exploratory Data Analysis, Seaborn, SQL, Pandas (Python Package), Probability & Statistics, Regression Analysis, Machine Learning, Statistical Hypothesis Testing, Python Programming, Data Transformation, Feature Engineering, Data Integration, NumPy, Web Scraping

    4.2
    Rating, 4.2 out of 5 stars
    ·
    24 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    A

    Amazon

    Programming with Java

    Skills you'll gain: File I/O, Object Oriented Programming (OOP), Object Oriented Design, Java, Software Design, Maintainability, Debugging, Data Structures

    4.2
    Rating, 4.2 out of 5 stars
    ·
    88 reviews

    Beginner · Course · 1 - 4 Weeks

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1…828384…174

In summary, here are 10 of our most popular python oop courses

  • Java Programming for Beginners: IBM
  • Data Science with NumPy, Sets, and Dictionaries: Duke University
  • Spark, Hadoop, and Snowflake for Data Engineering: Duke University
  • Parallel programming: École Polytechnique Fédérale de Lausanne
  • Principal Component Analysis with NumPy: Coursera
  • Approximation Algorithms and Linear Programming : University of Colorado Boulder
  • Deep Learning with PyTorch : Image Segmentation : Coursera
  • Deep Learning with PyTorch: IBM
  • Introduction to High-Performance and Parallel Computing: University of Colorado Boulder
  • Cloud Data Engineering: Duke University

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