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  • Python 20 For 20 Beginners

Results for "python%20for%20beginners"


  • C

    Coursera

    Prompt Engineering with GPT: Programming for Custom Content

    Skills you'll gain: Prompt Engineering, OpenAI API, Generative AI, Scripting, Python Programming, Test Case, Application Programming Interface (API), Application Development, Machine Learning, Software Engineering

    4.4
    Rating, 4.4 out of 5 stars
    ·
    74 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Washington

    Social Media Data Analytics

    Skills you'll gain: Text Mining, Unstructured Data, Quantitative Research, Data Visualization, Statistical Analysis, Analysis, Social Network Analysis, Data Presentation, Data Analysis, Statistical Methods, Data Mining, Interactive Data Visualization, Analytics, Correlation Analysis, Application Programming Interface (API), R Programming, Regression Analysis, Data Collection, Big Data, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    298 reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Visualization (Computer Graphics), Deep Learning, Feature Engineering, Network Architecture

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Business Priorities and Data Ingestion

    Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Cleansing, Data Quality, Business Priorities, NumPy, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    189 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Minnesota

    Matrix Methods

    Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Numerical Analysis, Statistical Methods, Regression Analysis, Mathematical Modeling, Applied Mathematics, Solution Design, Applied Machine Learning, Data Manipulation, Algorithms, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    249 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Autoencoders, Unsupervised Learning, Tensorflow, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning, Computer Vision, Model Evaluation, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Big Data with Spark and Hadoop

    Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Development Environment, Distributed Computing, Performance Tuning, Data Transformation, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    475 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Interfacing with the Raspberry Pi

    Skills you'll gain: Internet Of Things, Application Programming Interface (API), TCP/IP, Electronics, Embedded Systems, Network Protocols, USB, General Networking, Electronic Systems, Hardware Design, Digital Signal Processing, Computer Hardware, Python Programming, Linux, Servers

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.6K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    C Programming for Everybody

    Skills you'll gain: C (Programming Language), C++ (Programming Language), Object Oriented Programming (OOP), Data Structures, Programming Principles, Algorithms, Computer Programming, Software Design, Application Security, Other Programming Languages, Python Programming, Java Programming, System Programming, Computer Architecture, Performance Tuning, Unix, Computer Science, Debugging

    4.5
    Rating, 4.5 out of 5 stars
    ·
    241 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Data Manipulation at Scale: Systems and Algorithms

    Skills you'll gain: Big Data, Relational Databases, Database Systems, Dataflow, Databases, Data Science, Data Manipulation, Data Processing, NoSQL, Apache Spark, Distributed Computing, Apache Hadoop, SQL, Data Analysis, Query Languages, Cloud Computing, Scalability, Graph Theory, Python Programming, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    772 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Getting Started with Go

    Skills you'll gain: Back-End Web Development, System Programming, Debugging, Computer Programming Tools, Data Access

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.5K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Delivery Problem

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    376 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Prompt Engineering with GPT: Programming for Custom Content: Coursera
  • Social Media Data Analytics: University of Washington
  • Introduction to Computer Vision and Image Processing: IBM
  • AI Workflow: Business Priorities and Data Ingestion: IBM
  • Matrix Methods: University of Minnesota
  • Deep Learning with Keras and Tensorflow: IBM
  • Introduction to Big Data with Spark and Hadoop: IBM
  • Interfacing with the Raspberry Pi: University of California, Irvine
  • C Programming for Everybody: University of Michigan
  • Data Manipulation at Scale: Systems and Algorithms: University of Washington

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