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  • Python Data Analysis

Results for "python data analysis"


  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Grasp Vector DB Basics

    Skills you'll gain: Vector Databases, Semantic Web, Database Theory, Database Design, Databases, NoSQL, Decision Making, Relational Databases, Data-Driven Decision-Making, Data Architecture, Stakeholder Communications, Business Analysis, Stakeholder Management, Persuasive Communication, Machine Learning Methods, System Design and Implementation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Design Prompts for Everyday Work Tasks

    Skills you'll gain: Prompt Engineering, Brainstorming, Email Automation, AI Enablement, Concision, Large Language Modeling, Business Writing, Productivity, Organizational Skills

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning Capstone

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Statistical Analysis, Data Mining, Predictive Modeling, Machine Learning, Technical Communication, Scikit Learn (Machine Learning Library), Regression Analysis, Artificial Neural Networks, Deep Learning, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    198 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Regression Modeling in Practice

    Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Methods, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, Analysis, SAS (Software), Scatter Plots, Predictive Modeling, Model Evaluation, Data Manipulation, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    274 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    5.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    P

    Packt

    Foundations of Model Optimization and Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Data Preprocessing, Performance Tuning, Artificial Intelligence

    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: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Transformer Architectures and Multimodal Models

    Skills you'll gain: Vision Transformer (ViT), Transfer Learning, Recurrent Neural Networks (RNNs), Embeddings, LLM Application, Large Language Modeling, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Distributed Computing, Performance Tuning, Scalability, Computer Vision

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Training, Evaluating, and Monitoring Machine Learning Models

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Data Validation, System Monitoring, Continuous Monitoring, Verification And Validation, Predictive Modeling, Performance Metric, A/B Testing, Statistical Methods, Anomaly Detection, Failure Analysis, Debugging, Applied Machine Learning, Statistical Analysis, Scikit Learn (Machine Learning Library), Benchmarking

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Visual Analytics with Tableau

    Skills you'll gain: Data Visualization, Advanced Analytics, Tableau Software, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Pivot Tables And Charts, Data Mapping, Tree Maps, Analytics, Data Analysis Expressions (DAX), Histogram, Scatter Plots, Geospatial Mapping, Heat Maps, Forecasting

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.9K reviews

    Beginner · Course · 1 - 4 Weeks

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

    EDUCBA

    Build Real-Time Face Recognition with OpenCV

    Skills you'll gain: System Design and Implementation, Model Deployment

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Chroma, Weaviate & Production RAG Deployment

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Generative AI, Performance Tuning, Data Migration, LangChain, LLM Application, Metadata Management, Document Management, Data Infrastructure, Large Language Modeling, Prompt Patterns, Embeddings, Data Modeling, Agentic systems, Data Integrity, Scalability, Docker (Software), Semantic Web, Query Languages

    Intermediate · Specialization · 3 - 6 Months

1…229230231…834

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

  • Grasp Vector DB Basics: Coursera
  • Design Prompts for Everyday Work Tasks: Google
  • Machine Learning Capstone: IBM
  • Regression Modeling in Practice: Wesleyan University
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • Foundations of Model Optimization and Deep Learning: Packt
  • Introduction to Computer Vision and Image Processing: IBM
  • Transformer Architectures and Multimodal Models: Edureka
  • Training, Evaluating, and Monitoring Machine Learning Models: Coursera
  • Visual Analytics with Tableau: University of California, Davis

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