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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


  • W

    Whizlabs

    Deploying Microservices to Kubernetes using Azure DevOps

    Skills you'll gain: Azure DevOps Pipelines, Kubernetes, Azure DevOps, Node.JS, CI/CD, DevOps, Microsoft Azure, Devops Tools, Test Planning, Continuous Integration, Continuous Delivery, Application Lifecycle Management, Microservices, Containerization, Software Testing, Debugging, Software Development Tools, Cloud Deployment, Scripting, Version Control

    4.3
    Rating, 4.3 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    DataOps: Automation & Reliability

    Skills you'll gain: Apache Airflow, Docker (Software), Git (Version Control System), SQL, Data Pipelines, Containerization, CI/CD, Debugging, Ansible, Database Management, Continuous Deployment, Performance Tuning, Infrastructure as Code (IaC), Continuous Integration, Workflow Management, DevOps, Automation, Configuration Management, Root Cause Analysis, Python Programming

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Semantic Segmentation with Amazon Sagemaker

    Skills you'll gain: AWS SageMaker, Amazon Web Services, Model Deployment, Image Analysis, Applied Machine Learning, Model Training, Machine Learning Algorithms, Data Preprocessing, Computer Vision, Deep Learning, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    95 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Data Transformation, Machine Learning Methods, Model Training, Predictive Modeling, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Exploratory Data Analysis, Performance Measurement

    4.3
    Rating, 4.3 out of 5 stars
    ·
    28 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • D

    DeepLearning.AI

    Red Teaming LLM Applications

    Skills you'll gain: LLM Application, Prompt Engineering, Penetration Testing, Vulnerability Assessments, Security Testing, Large Language Modeling, Vulnerability Management, Risking, AI Security, Application Security

    4.8
    Rating, 4.8 out of 5 stars
    ·
    58 reviews

    Beginner · Project · Less Than 2 Hours

  • P

    Packt

    AI Engineer Professional

    Skills you'll gain: MLOps (Machine Learning Operations), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Fine-tuning, Containerization, Model Optimization, AI Workflows, Model Evaluation, Model Deployment, Generative AI Agents, LangGraph, Keras (Neural Network Library), Agentic Workflows, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, Image Analysis, Large Language Modeling, Natural Language Processing, Python Programming

    Advanced · Specialization · 1 - 3 Months

  • D

    Duke University

    Cloud Machine Learning Engineering and MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Cloud Engineering, Google Cloud Platform, Model Deployment, Cloud Applications, Cloud Development, Cloud API, Cloud Deployment, Artificial Intelligence, Machine Learning, Microsoft Azure, AI Workflows, Software Engineering, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    92 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Modern Natural Language Processing

    Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Hugging Face, Deep Learning, Large Language Modeling, Transfer Learning, Convolutional Neural Networks, Artificial Neural Networks, Encryption, Python Programming, Cryptography, Fine-tuning, Machine Learning Methods, Text Mining, Classification Algorithms, Applied Machine Learning, Probability Distribution, Machine Learning Algorithms, Model Training

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    AI Engineering Masterclass: From Zero to AI Hero

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Probability & Statistics, Transfer Learning, NumPy, Matplotlib, Model Training, Model Optimization, Convolutional Neural Networks, Deep Learning, Applied Machine Learning, Statistics, Data Visualization, Keras (Neural Network Library), Statistical Hypothesis Testing, Fine-tuning, Machine Learning Methods, Python Programming

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Data Management with Databricks: Big Data with Delta Lakes

    Skills you'll gain: Databricks, Data Lakes, Data Pipelines, Data Integration, JSON, Dashboard, SQL, Data Manipulation, Apache Spark, Dashboard Creation, Data Management, Data Transformation, Version Control

    4.1
    Rating, 4.1 out of 5 stars
    ·
    32 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • L

    LearnQuest

    Integrating Test-Driven Development into Your Workflow

    Skills you'll gain: Continuous Delivery, Continuous Deployment, Continuous Integration, Application Deployment, Test Driven Development (TDD), CI/CD, Agile Methodology, Test Automation, Unit Testing, Software Development, Agile Software Development, Python Programming, Version Control

    3.7
    Rating, 3.7 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    GenAI for Data Scientists

    Skills you'll gain: Generative AI, Responsible AI, AI literacy, Data Ethics, Data Quality, AI Integrations, Applied Machine Learning, Data Synthesis, Analysis, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Deploying Microservices to Kubernetes using Azure DevOps: Whizlabs
  • DataOps: Automation & Reliability: Coursera
  • Semantic Segmentation with Amazon Sagemaker: Coursera
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Red Teaming LLM Applications: DeepLearning.AI
  • AI Engineer Professional: Packt
  • Cloud Machine Learning Engineering and MLOps: Duke University
  • Modern Natural Language Processing: Packt
  • AI Engineering Masterclass: From Zero to AI Hero: Packt
  • Data Management with Databricks: Big Data with Delta Lakes: Coursera

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Data Modeling (21)
Data Manipulation (20)

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