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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: Free Trial
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    Packt

    Deep Learning with Keras and Practical Applications

    Skills you'll gain: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Model Optimization, Data Processing, Transfer Learning, Data Analysis, Model Training, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Artificial Neural Networks, Computer Vision, Predictive Modeling, Model Evaluation, Machine Learning

    Intermediate · Course · 3 - 6 Months

  • Status: New
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    Free Trial
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    Coursera

    Automate, Validate, and Promote ML Models Safely

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

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Complete SAS Guide - Learn SAS and Become a Data Ninja

    Skills you'll gain: SAS (Software), Data Import/Export, Data Manipulation, Predictive Modeling, Statistical Analysis, SQL, Logistic Regression, Statistical Methods, Statistical Programming, Regression Analysis, R (Software), Predictive Analytics, Data Analysis, Model Evaluation, Statistical Software, Statistical Modeling, Data Wrangling, Data Processing, Statistical Hypothesis Testing, Software Installation

    Beginner · Course · 3 - 6 Months

  • Status: Preview
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    Starweaver

    Data Storytelling for Investors and Financial Advisors

    Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Storytelling, Financial Data, Client Services, Data Visualization Software, Financial Acumen, Finance, Presentations, Communication, Diagram Design, Prompt Engineering, Communication Strategies, Analysis, Customer Engagement

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
    Free Trial
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    Coursera

    Choose Optimal Data Structures for ML

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

    Advanced · Course · 1 - 4 Weeks

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    Packt

    LLM Engineer’s Handbook

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Large Language Modeling, MLOps (Machine Learning Operations), Fine-tuning, Model Deployment, Extract, Transform, Load, Data Pipelines, Model Optimization, Data Processing, CI/CD, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Packt

    Exploratory Data Analysis & Core ML Algorithms

    Skills you'll gain: Exploratory Data Analysis, Model Optimization, Model Training, Applied Machine Learning, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Data Wrangling, Model Evaluation, Data Preprocessing, Statistical Machine Learning, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    SAS

    Managing Machine Learning Models

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Design Real-Time Architectures with Spark & Kafka

    Skills you'll gain: Apache Kafka, Data Pipelines, Real Time Data, Apache Spark, Event-Driven Programming, Distributed Computing, Software Architecture, Performance Tuning, Real-Time Operating Systems, Application Deployment, Systems Architecture, Scalability, Data Processing, Architecture and Construction, Data Transformation, Performance Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Model Optimization, Model Training, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Build & Adapt LLM Models with Confidence

    Skills you'll gain: Model Deployment, LLM Application, Fine-tuning, Large Language Modeling, System Monitoring, Open Web Application Security Project (OWASP), Scalability, Generative Model Architectures, Hugging Face, Continuous Monitoring, AI Integrations, Load Balancing, Performance Tuning, Application Deployment, Model Optimization, Transfer Learning, AI Security, Applied Machine Learning, Application Security, API Design

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Advanced ML Algorithms & Unsupervised Learning

    Skills you'll gain: Model Optimization, Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Anomaly Detection, Classification Algorithms, Linear Algebra

    Intermediate · Course · 1 - 3 Months

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

  • Deep Learning with Keras and Practical Applications: Packt
  • Automate, Validate, and Promote ML Models Safely: Coursera
  • Complete SAS Guide - Learn SAS and Become a Data Ninja: Packt
  • Data Storytelling for Investors and Financial Advisors: Starweaver
  • Choose Optimal Data Structures for ML: Coursera
  • LLM Engineer’s Handbook: Packt
  • Exploratory Data Analysis & Core ML Algorithms: Packt
  • Managing Machine Learning Models: SAS
  • Design Real-Time Architectures with Spark & Kafka: Coursera
  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University

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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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