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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


  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Model Training, Data Cleansing, Data Import/Export, Data Transformation, Apache Spark, Data-Driven Decision-Making, AI Enablement, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    26 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Cisco CCNP Data Center DCCOR (350-601)

    Skills you'll gain: Data Centers, Ansible, Open Shortest Path First (OSPF), Routing Protocols, Network Switches, Computing Platforms, Software-Defined Data Center (SDDC), Virtual Networking, Virtual Local Area Network (VLAN), IT Automation, Security Controls, Network Infrastructure, Devops Tools, Network Engineering, Border Gateway Protocol, Network Routers, Network Routing, Infrastructure Security, Network Monitoring, Data Storage Technologies

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Deep Learning - Artificial Neural Networks with TensorFlow

    Skills you'll gain: Model Optimization, Tensorflow, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Model Training, Machine Learning, NumPy, Regression Analysis, Network Architecture

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    YAML Fundamentals for DevOps, Cloud and IaC Engineers

    Skills you'll gain: Extensible Markup Language (XML), Ansible, Infrastructure as Code (IaC), Devops Tools, JSON, Kubernetes, DevOps, Microsoft Visual Studio, Python Programming, Data Structures

    Advanced · Course · 1 - 4 Weeks

  • P

    Packt

    Building Agentic AI Systems

    Skills you'll gain: Generative AI Agents, Agentic systems, Generative AI, Generative Model Architectures, Agentic Workflows, Responsible AI, AI Orchestration, Large Language Modeling, AI Security, Artificial Intelligence, LLM Application, Tool Calling, LangChain, Restful API, Automation, Natural Language Processing, Python Programming, Ethical Standards And Conduct

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Artificial Intelligence for Robotics

    Skills you'll gain: Robotics, Artificial Intelligence, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Convolutional Neural Networks, AI Integrations, Natural Language Processing, Artificial Neural Networks, Reinforcement Learning, Model Training, Machine Learning, Python Programming, Automation, Algorithms

    Intermediate · Course · 1 - 3 Months

  • I

    Illinois Tech

    Statistical Learning

    Skills you'll gain: Statistical Analysis, Data Analysis, Data Science, Statistical Programming, Statistical Methods, Statistical Machine Learning, Statistical Modeling, Applied Machine Learning, Model Evaluation, Regression Analysis, Statistics, Machine Learning Methods, Machine Learning Algorithms, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Logistic Regression

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Leeds

    Statistical Methods

    Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, Statistical Software, R (Software), Probability & Statistics, Data Collection, Statistics, Data Literacy, Statistical Inference, R Programming, Statistical Programming, Probability, Data Analysis, Statistical Analysis, Probability Distribution, Simulations, Statistical Visualization, Statistical Reporting, Data Visualization Software

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    PyQt Training Intermediate Level

    Skills you'll gain: Graphic and Visual Design, User Interface (UI) Design, Graphical Tools, Python Programming, Visualization (Computer Graphics), Computer Graphics, Computer Graphic Techniques, Application Programming Interface (API)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Deep Learning RNN & LSTM: Stock Price Prediction

    Skills you'll gain: Data Preprocessing, Data Processing, Model Optimization, Recurrent Neural Networks (RNNs), Model Training, Data Transformation, Financial Forecasting, Feature Engineering, Model Evaluation, Statistical Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Deep Learning, Predictive Modeling, Forecasting, Predictive Analytics, Artificial Neural Networks

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 reviews

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Apache Airflow Best Practices

    Skills you'll gain: Apache Airflow, AI Workflows, MLOps (Machine Learning Operations), Multi-Tenant Cloud Environments, Data Pipelines, Workflow Management, Business Workflow Analysis, Cloud Deployment, Application Deployment, CI/CD, Data Migration, Devops Tools, Cloud Platforms, DevOps, Configuration Management, Python Programming, Scalability, Performance Tuning

    Intermediate · Course · 3 - 6 Months

  • P

    Packt

    Building and Training Neural Networks with PyTorch

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Image Analysis, Model Evaluation, Model Training, Artificial Neural Networks, Fine-tuning, Computer Vision, Model Optimization, Data Preprocessing, Data Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Machine Learning with PySpark: Customer Churn Analysis: Coursera
  • Cisco CCNP Data Center DCCOR (350-601): Packt
  • Deep Learning - Artificial Neural Networks with TensorFlow: Packt
  • YAML Fundamentals for DevOps, Cloud and IaC Engineers: Packt
  • Building Agentic AI Systems: Packt
  • Artificial Intelligence for Robotics: Packt
  • Statistical Learning: Illinois Tech
  • Statistical Methods: University of Leeds
  • PyQt Training Intermediate Level: EDUCBA
  • Deep Learning RNN & LSTM: Stock Price Prediction: EDUCBA

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