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  • Status: Free Trial
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    C

    Corporate Finance Institute

    Regression Analysis - Fundamentals & Practical Applications

    Skills you'll gain: Regression Analysis, Statistical Modeling, Statistical Analysis, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Microsoft Excel, Linear Algebra, Model Evaluation, Supervised Learning, Exploratory Data Analysis

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
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    Free Trial
    E

    Edureka

    Building Autonomous AI Agents

    Skills you'll gain: LangGraph, Retrieval-Augmented Generation, Generative AI Agents, AI Orchestration, CrewAI, Agentic Workflows, AI Workflows, Agentic systems, LangChain, Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Systems Integration, Tool Calling, Responsible AI, Large Language Modeling, Prompt Engineering, Human Factors (Security), Data Ethics, Context Management, Restful API

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
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    Free Trial
    E

    Edureka

    Power BI Connectivity, AI Integration & Reporting

    Skills you'll gain: Responsible AI, Power BI, Microsoft Azure, Microsoft Copilot, Business Intelligence, Data Architecture, Business Reporting, AI Personalization, Pandas (Python Package), Python Programming, Predictive Modeling, Generative AI, Matplotlib, Data Wrangling, Artificial Intelligence and Machine Learning (AI/ML), Data Transformation, Data Visualization, Data Governance, R Programming, Continuous Deployment

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
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    Preview
    A

    AI CERTs

    AI for Health & Nursing

    Skills you'll gain: Nurse Education, Health Informatics, Clinical Data Management, Generative AI Agents, Nursing Process, Nursing, Clinical Informatics, Generative AI, Clinical Documentation, Healthcare Ethics, Nursing Practices, Responsible AI, Health Care, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Healthcare Industry Knowledge, Basic Patient Care, Business Acumen, Physiology, Business

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Duke University

    برمجة Java: المصفوفات، والقوائم، والبيانات المصنفة

    Skills you'll gain: Object Oriented Programming (OOP), Java, File I/O, Algorithms, Data Structures, Encryption, Computer Programming, Software Engineering, Data Preprocessing, Cryptography, Web Applications, Debugging

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Deep Learning RNN & LSTM: Stock Price Prediction

    Skills you'll gain: Data Preprocessing, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Model Evaluation, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Keras (Neural Network Library), Deep Learning, Pandas (Python Package), NumPy

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
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    Free Trial
    P

    Packt

    Foundations of AI, LLMs, and Development Environments

    Skills you'll gain: OpenAI API, Generative Model Architectures, Hugging Face, Programming Principles, Computer Programming, Software Installation

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of AI Engineering

    Skills you'll gain: NumPy, Matplotlib, Statistical Methods, Data Visualization, Python Programming, Pandas (Python Package), Seaborn, Machine Learning, Applied Mathematics, Statistical Analysis, Exploratory Data Analysis, Data Science, Probability, Regression Analysis, Linear Algebra, Data Manipulation, Calculus

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Computational Thinking for K-12 Educators: Variables and Nested Loops

    Skills you'll gain: Debugging, Computational Thinking, Digital pedagogy, Education Software and Technology, Programming Principles, Computer Programming, Algorithms, Brainstorming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Statistical Visualization, Responsible AI

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
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    Free Trial
    C

    Coursera

    Architect Reusable AI Agent Systems

    Skills you'll gain: Agentic systems, Systems Architecture, API Design, Maintainability, Systems Design, Solution Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Como criar pipelines de dados em lote no Google Cloud

    Skills you'll gain: Data Pipelines, Data Warehousing, Dataflow, Extract, Transform, Load, Data Cleansing, Data Quality, Google Cloud Platform, Data Validation, Workflow Management, Data Processing, Apache Spark, Scalability, Data Transformation, Performance Tuning, Resource Management, Scheduling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

1…136137138…170

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

  • Regression Analysis - Fundamentals & Practical Applications: Corporate Finance Institute
  • Building Autonomous AI Agents: Edureka
  • Power BI Connectivity, AI Integration & Reporting: Edureka
  • AI for Health & Nursing: AI CERTs
  • برمجة Java: المصفوفات، والقوائم، والبيانات المصنفة: Duke University
  • Deep Learning RNN & LSTM: Stock Price Prediction: EDUCBA
  • Foundations of AI, LLMs, and Development Environments: Packt
  • Foundations of AI Engineering: Packt
  • Computational Thinking for K-12 Educators: Variables and Nested Loops: University of California San Diego
  • Interpretable Machine Learning Applications: Part 4: Coursera

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