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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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    SkillUp

    Statistical Analysis and Data Modeling in Healthcare

    Skills you'll gain: Statistical Hypothesis Testing, Clinical Research, Clinical Data Management, Data Analysis, Analytics, Machine Learning Methods, Healthcare Ethics, Data Literacy, Health Informatics, Regression Analysis, Descriptive Analytics, Predictive Analytics, Machine Learning Software, Supervised Learning, Statistical Analysis, Data Analysis Software, Statistics, Statistical Machine Learning, Decision Tree Learning, Random Forest Algorithm

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Advanced CNNs, Transfer Learning, and Recurrent Networks

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Fine-tuning, Tensorflow, Natural Language Processing, Network Architecture, Model Training

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    Packt

    Recommender Systems with Machine Learning

    Skills you'll gain: Data Manipulation, Data Wrangling, AI Personalization, Model Evaluation, Applied Machine Learning, Data Preprocessing, Machine Learning Methods, Data Cleansing, Statistical Machine Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Model Training, Taxonomy, Text Mining, Data Analysis, Artificial Intelligence, Deep Learning

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Preprocessing Unstructured Data for LLMs and RAG Systems

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, LangChain, LLM Application, Embeddings, Application Frameworks, Vision Transformer (ViT), Data Quality

    Intermediate · Course · 1 - 3 Months

  • 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

  • Status: Free Trial
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    Howard University

    Building Regression Models with Linear Algebra

    Skills you'll gain: Regression Analysis, Predictive Modeling, Mathematical Modeling, Predictive Analytics, Statistical Modeling, Statistical Methods, Applied Mathematics, Linear Algebra, Small Data, Model Evaluation, Statistical Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Spark, Skew & Speed: Pipeline Performance Engineering

    Skills you'll gain: System Monitoring, Data Quality, Performance Tuning, Apache Spark, Data Validation, Data Pipelines, Query Languages, Debugging, Data Transformation, Anomaly Detection, PySpark, Performance Analysis, Extract, Transform, Load, Failure Analysis, SQL, Data Architecture, Data Processing, Benchmarking, Root Cause Analysis, Distributed Computing

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Packt

    Recommender Systems: An Applied Approach using Deep Learning

    Skills you'll gain: Model Evaluation, Deep Learning, Data Preprocessing, Data Wrangling, Data Processing, AI Personalization, Machine Learning Methods, Model Training, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Neural Networks, Embeddings

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Advanced Prompt Engineering and Memory Management

    Skills you'll gain: Retrieval-Augmented Generation, Prompt Patterns, Token Optimization, Memory Management, Context Management, Document Management, Embeddings, User Interface (UI), Vector Databases, Debugging

    Advanced · Course · 1 - 3 Months

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    Packt

    Building AI Applications with OpenAI APIs

    Skills you'll gain: OpenAI API, OpenAI, Cloud Deployment, Application Deployment, LLM Application, ChatGPT, Fine-tuning, Large Language Modeling, AI Integrations, Model Deployment, Application Programming Interface (API), Prompt Engineering, AI powered creativity, Natural Language Processing, User Interface (UI), Email Automation, Generative AI, Python Programming, Software Development, AI Personalization

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Packt

    Foundations of Model Optimization and Deep Learning

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Edureka

    Building Autonomous AI Agents

    Skills you'll gain: LangGraph, Retrieval-Augmented Generation, Generative AI Agents, AI Orchestration, CrewAI, Agentic Workflows, Agentic systems, LangChain, LLM Application, AI Integrations, Systems Integration, Tool Calling, Responsible AI, Large Language Modeling, Prompt Engineering, Restful API, Embeddings, Vector Databases, Memory Management

    Beginner · Course · 1 - 4 Weeks

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

  • Statistical Analysis and Data Modeling in Healthcare: SkillUp
  • Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
  • Recommender Systems with Machine Learning: Packt
  • Preprocessing Unstructured Data for LLMs and RAG Systems: Packt
  • Generative AI Models and GPU Systems: Edureka
  • Building Regression Models with Linear Algebra: Howard University
  • Spark, Skew & Speed: Pipeline Performance Engineering: Coursera
  • Recommender Systems: An Applied Approach using Deep Learning: Packt
  • Advanced Prompt Engineering and Memory Management: Packt
  • Building AI Applications with OpenAI APIs: Packt

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