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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.


More to explore:

Popular Python Pandas Courses and Certifications


  • Status: New
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    Coursera

    Choose Optimal Data Structures for ML

    Skills you'll gain: Data Structures, Feature Engineering, MLOps (Machine Learning Operations), Java, Performance Tuning, Data Processing, Applied Machine Learning, System Monitoring, Scalability, Performance Analysis, Performance Testing, Tree Maps, Benchmarking, Graph Theory, Program Implementation

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    Pearson

    Introduction to Django

    Skills you'll gain: Django (Web Framework), Development Environment, Authentications, Model View Controller, Web Development, Software Installation, Application Frameworks, Integrated Development Environments, Security Controls, Virtual Environment, System Configuration, Application Development, Application Deployment, API Design, Relational Databases

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Starweaver

    GenAI Model Development and Production Engineering

    Skills you'll gain: Model Deployment, Generative AI, Transfer Learning, Kubernetes, Containerization, Docker (Software), Cloud Infrastructure, Scalability, Prompt Engineering, MLOps (Machine Learning Operations), AI Orchestration, Large Language Modeling, AI Security, Performance Tuning, Continuous Deployment, Continuous Monitoring, Development Environment, Process Optimization, Automation, Job Evaluation

    Intermediate · Course · 1 - 3 Months

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    Packt

    Data Science Model Deployments and Cloud Computing on GCP

    Skills you'll gain: Docker (Software), CI/CD, Model Deployment, Cloud Deployment, Cloud Development, Application Performance Management, Google App Engine

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Automate, Validate, and Promote ML Models Safely

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Model Deployment, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Sentiment Analysis with RNNs in Keras

    Skills you'll gain: Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Model Evaluation, Natural Language Processing, Text Mining, Data Preprocessing, Deep Learning, Tensorflow, Google Cloud Platform, Matplotlib

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Pearson

    Data Science Fundamentals Part 2: Unit 1

    Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    SAS

    Managing Machine Learning Models

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Machine Learning Software, Workflow Management, Predictive Modeling, Business Process, Governance Risk Management and Compliance, Continuous Monitoring, SAS (Software), Text Mining, R Programming, Scheduling

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    App Deployment, Security & Infrastructure Automation

    Skills you'll gain: Cloud Deployment, Open Web Application Security Project (OWASP), CI/CD, Application Deployment, DevOps, Ansible, Docker (Software), Cloud Infrastructure, Infrastructure Security, IT Automation, Application Security, Containerization, Bash (Scripting Language), Continuous Delivery, Firewall, Unit Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google Cloud

    Securing and Integrating Components of your Application en Français

    Skills you'll gain: Cloud-Native Computing, Cloud Applications, Serverless Computing, Cloud API, API Gateway, Application Development, Google Cloud Platform, Authentications, Application Programming Interface (API), Identity and Access Management, Event-Driven Programming, Node.JS, Restful API, Microservices, Authorization (Computing)

    Intermediate · Course · 1 - 3 Months

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    Google Cloud

    Work with Gemini Models in BigQuery - Français

    Skills you'll gain: Google Gemini, SQL, Generative AI, Google Cloud Platform, Big Data, Customer Relationship Management, Jupyter, Workflow Management, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Deployment, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

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

  • Choose Optimal Data Structures for ML: Coursera
  • Introduction to Django: Pearson
  • GenAI Model Development and Production Engineering: Starweaver
  • Data Science Model Deployments and Cloud Computing on GCP: Packt
  • Automate, Validate, and Promote ML Models Safely: Coursera
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Sentiment Analysis with RNNs in Keras: EDUCBA
  • Data Science Fundamentals Part 2: Unit 1: Pearson
  • Managing Machine Learning Models: SAS
  • App Deployment, Security & Infrastructure Automation: Packt

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Python Programming (47)
Business Analytics (40)
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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