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Results for "python basics"


  • Status: Free Trial
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    U

    University of Michigan

    Digital Technologies and the Future of Manufacturing

    Skills you'll gain: Internet Of Things, Case Studies, Manufacturing and Production, Manufacturing Processes, Digital Transformation, Manufacturing Operations, Production Planning, Business Transformation, Business Technologies, Technology Strategies, Cloud Computing, Technology Roadmaps, Emerging Technologies, Automation, Strategic Partnership, Operational Efficiency, Business Modeling, Cost Benefit Analysis, Product Lifecycle Management, Risk Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    383 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    I

    IBM

    Introduction to R Programming for Data Science

    Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments

    4.5
    Rating, 4.5 out of 5 stars
    ·
    614 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of Pennsylvania

    Wonders of Ancient Egypt

    Skills you'll gain: Art History, Ancient History, World History, Anthropology, Research Methodologies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    365 reviews

    Advanced · Specialization · 3 - 6 Months

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    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
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    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
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    R

    Rice University

    Algorithmic Thinking (Part 2)

    Skills you'll gain: Computational Thinking, Algorithms, Theoretical Computer Science, Bioinformatics, Data Structures, Big Data, Python Programming, Data Analysis, Machine Learning Algorithms, Unsupervised Learning, Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    219 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    D

    Duke University

    Introduction to Generative AI

    Skills you'll gain: Prompt Engineering, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, ChatGPT, OpenAI, Multimodal Prompts, Large Language Modeling, OpenAI API, Hugging Face, Responsible AI, GitHub, Python Programming, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    225 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    AI for Web Developers

    Skills you'll gain: Prompt Engineering, Anthropic Claude, Responsible AI, OpenAI API, Cloud Deployment, Cloud Applications, LLM Application, OpenAI, HTML and CSS, ChatGPT, Application Deployment, Mobile Development, API Gateway, Generative AI, Model Deployment, Cloud Security, Data Ethics, Application Programming Interface (API), Debugging, Artificial Intelligence

    4.5
    Rating, 4.5 out of 5 stars
    ·
    333 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Geneva

    Simulation and modeling of natural processes

    Skills you'll gain: Simulations, Python Programming, Statistical Methods, Numerical Analysis, Mathematical Modeling, Probability Distribution, Mechanics, Physics

    4.3
    Rating, 4.3 out of 5 stars
    ·
    413 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Comparing Genes, Proteins, and Genomes (Bioinformatics III)

    Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Computer Programming Tools, Graph Theory, Mathematical Modeling, Python Programming, Biology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    140 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Digital Technologies and the Future of Manufacturing: University of Michigan
  • Introduction to R Programming for Data Science: IBM
  • Wonders of Ancient Egypt: University of Pennsylvania
  • IBM AI Enterprise Workflow: IBM
  • Deep Learning with Keras and Tensorflow: IBM
  • Data Manipulation at Scale: Systems and Algorithms: University of Washington
  • Algorithmic Thinking (Part 2): Rice University
  • Introduction to Generative AI: Duke University
  • AI for Web Developers: Scrimba
  • Simulation and modeling of natural processes: University of Geneva

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