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  • Python Pandas

Python Pandas Courses

Python Pandas courses can help you learn data manipulation, data analysis, and data visualization techniques. You can build skills in handling large datasets, performing statistical analysis, and cleaning data for better insights. Many courses introduce tools like Jupyter Notebooks and Matplotlib, that support applying your skills in real-world data projects. You'll also explore key topics such as time series analysis, merging datasets, and using functions to automate repetitive tasks, making your data workflows more efficient.

Popular Python Pandas Courses and Certifications


  • Status: New
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    Edureka

    Generative AI Models and GPU Systems

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Autoencoders, Model Deployment, Deep Learning, Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Artificial Neural Networks, Model Training, Convolutional Neural Networks, Performance Tuning, Artificial Intelligence, Scalability, Python Programming, Machine Learning, Memory Management, Image Quality, Performance Analysis

    Beginner · Course · 1 - 4 Weeks

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    Simplilearn

    Introduction to Long Short Term Memory (LSTM) Training

    Skills you'll gain: Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Natural Language Processing, Deep Learning, Model Training, Artificial Neural Networks, Forecasting, Applied Machine Learning

    2.3
    Rating, 2.3 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Replit Essentials: Collaborate, Create, and Code Smarter

    Skills you'll gain: Collaborative Software, Version Control, Integrated Development Environments, Debugging, GitHub Copilot, Git (Version Control System), Application Deployment, Cloud Deployment, Cloud Development, GitHub, Software Versioning, Development Environment, Application Development, File Management, Software Configuration Management, Software Development Tools, Configuration Management, Cloud Storage

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Edureka

    Fine-Tuning & Optimizing Large Language Models

    Skills you'll gain: Fine-tuning, Model Evaluation, Context Engineering, LLM Application, Token Optimization, Large Language Modeling, Hugging Face, Transfer Learning, Model Optimization, Model Training, Context Management

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Real Madrid Graduate School Universidad Europea

    Must-Know Concepts - Basic requirements for data analysis

    Skills you'll gain: Data Presentation, Data Literacy, Matplotlib, Analytics, Probability Distribution, Data Processing, Probability & Statistics, Statistical Methods, Statistical Analysis, Probability, Data Cleansing, Computer Programming Tools, Data Collection, Performance Measurement, Python Programming, Technical Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Advanced Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, Model Optimization, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Tensorflow, Data Preprocessing, Embeddings, Model Training, Network Architecture

    Advanced · Course · 3 - 6 Months

  • Status: New
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    Edureka

    System Integration, UI & Performance Testing

    Skills you'll gain: Browser Compatibility, Performance Testing, Security Testing, Integration Testing, System Testing, API Testing, Software Testing, User Acceptance Testing (UAT), Performance Stress Testing, Acceptance Testing, Test Tools, Application Security, Test Automation, Responsive Web Design, Web Applications, Docker (Software), User Interface (UI), Python Programming

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    Skills you'll gain: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Advanced Analytics, Machine Learning Methods, Random Forest Algorithm, Model Training, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines

    5
    Rating, 5 out of 5 stars
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    12 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Coursera

    GenAI for Financial Insights and Analysis with QUILL

    Skills you'll gain: Generative AI, Financial Data, Financial Analysis, Financial Statement Analysis, Decision Intelligence, Workflow Management, Competitive Intelligence, Data-Driven Decision-Making, Financial Statements, Text Mining, Market Intelligence, AI Integrations, Trend Analysis, Unstructured Data, Investment Management, Financial Market, Artificial Intelligence, Analysis, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    TensorFlow for Beginners: Basic Binary Image Classification

    Skills you'll gain: Model Deployment, Tensorflow, Model Evaluation, Data Preprocessing, Image Analysis, Model Training, Artificial Neural Networks, Convolutional Neural Networks, Model Optimization, Data Processing, Network Model, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning, Fine-tuning

    Beginner · Guided Project · Less Than 2 Hours

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    Coursera

    Preparing Text for AI Models

    Skills you'll gain: Data Ethics, Data Validation, Generative AI, Prompt Engineering, Data Cleansing, Data Quality, Data Preprocessing, Large Language Modeling, Text Mining, Hugging Face, Data Collection, Quality Assurance, Unstructured Data, Fine-tuning, Data Transformation, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Principles of Data Science

    Skills you'll gain: Probability & Statistics, Data Ethics, Pandas (Python Package), Machine Learning Methods, Statistical Methods, Bayesian Statistics, Data Literacy, Data Wrangling, Statistics, Data Science, Responsible AI, Probability, Data Visualization, Machine Learning, Applied Machine Learning, Data Processing, Data Architecture, Python Programming, Data Mapping, Data Integrity

    Beginner · Course · 3 - 6 Months

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

  • Generative AI Models and GPU Systems: Edureka
  • Introduction to Long Short Term Memory (LSTM) Training: Simplilearn
  • Replit Essentials: Collaborate, Create, and Code Smarter: Coursera
  • Fine-Tuning & Optimizing Large Language Models: Edureka
  • Must-Know Concepts - Basic requirements for data analysis: Real Madrid Graduate School Universidad Europea
  • Advanced Generative Adversarial Networks (GANs): Packt
  • System Integration, UI & Performance Testing: Edureka
  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
  • GenAI for Financial Insights and Analysis with QUILL: Coursera
  • TensorFlow for Beginners: Basic Binary Image Classification: Coursera

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R Programming (37)
Statistical Analysis (36)
Sql (33)
Data Model (29)
Data Mining (27)
Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

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