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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


  • Status: Free Trial
    Free Trial
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    IBM

    IBM Data Analyst Capstone Project

    Skills you'll gain: Data Visualization, Exploratory Data Analysis, Interactive Data Visualization, Statistical Visualization, Scientific Visualization, Data Presentation, IBM Cognos Analytics, Data Storytelling, Data Analysis, Dashboard Creation, Data Visualization Software, Dashboard, Jupyter, Statistical Reporting, Scatter Plots, Analytics, Box Plots, Looker (Software), Data Wrangling, Data Collection

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Introduction to Self-Driving Cars

    Skills you'll gain: Control Systems, Robotics, Simulation and Simulation Software, Software Architecture, Simulations, Safety Assurance, Hardware Architecture, Systems Architecture, Mathematical Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.9K reviews

    Advanced · Course · 1 - 3 Months

  • U

    University of California San Diego

    Hadoop Platform and Application Framework

    Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, Data Science, PySpark, File Systems, Analytics, Data Processing, Software Architecture, Distributed Computing, Data Architecture, Performance Tuning, Data Storage, System Configuration, Python Programming

    4
    Rating, 4 out of 5 stars
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    3.3K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of London

    Machine Learning for All

    Skills you'll gain: Model Training, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Feature Engineering, Machine Learning, Artificial Intelligence, Statistical Machine Learning, Model Evaluation, Data Literacy, Machine Learning Algorithms, AI literacy, Responsible AI, Data Collection

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Web Application Technologies and Django

    Skills you'll gain: Model View Controller, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), HTML and CSS, Linux, Linux Commands, Application Deployment, Django (Web Framework), Cloud Deployment, Web Applications, Command-Line Interface, Web Servers, Web Development, SQL, Database Management, Python Programming, Software Installation

    4.7
    Rating, 4.7 out of 5 stars
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    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    J

    John Wiley & Sons

    Machine Learning: Real-World Applications

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Data Ethics, Image Analysis, AI Personalization, Model Training, Convolutional Neural Networks, Model Optimization, Machine Learning, Applied Machine Learning, Feature Engineering, Machine Learning Methods, Computer Vision, Supervised Learning, Data Preprocessing, Program Evaluation, Unsupervised Learning, Python Programming, Data Science, Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Foundations of Sports Analytics: Data, Representation, and Models in Sports

    Skills you'll gain: Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Data Preprocessing, Matplotlib, Data Wrangling, Data Visualization, Statistical Analysis, Data Processing, Statistics, Analytics, Statistical Modeling, R Programming, Data Analysis, Statistical Inference, Pandas (Python Package), Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    208 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Sports Performance Analytics

    Skills you'll gain: Logistic Regression, Forecasting, Statistical Methods, Exercise Science, Regression Analysis, Plot (Graphics), Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Injury Prevention, Athletic Training, Analytics, People Analytics, Data Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    283 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Madecraft

    Advanced AI: Techniques, Applications, and Ethics

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, AI literacy, Large Language Modeling, Natural Language Processing, Model Training, Machine Learning, Model Evaluation, Decision Intelligence, Hugging Face, Machine Learning Methods, Generative AI, LLM Application, Bayesian Network, Human Centered Design, Python Programming

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Develop Generative AI Applications: Get Started

    Skills you'll gain: Prompt Engineering, LangChain, Prompt Patterns, LLM Application, Generative AI, Generative AI Agents, Tool Calling, AI Workflows, Large Language Modeling, AI Integrations, Model Evaluation, Flask (Web Framework), Agentic systems, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    595 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, PyTorch (Machine Learning Library), Prompt Patterns, Generative AI Agents, Fine-tuning, Vector Databases, LLM Application, Generative Model Architectures, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Tool Calling, Hugging Face, Model Optimization, Reinforcement Learning, Transfer Learning, Data Pipelines

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    N
    G
    G
    N

    Multiple educators

    Machine Learning for Trading

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Model Training, Machine Learning Algorithms, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Machine Learning Software, Time Series Analysis and Forecasting, Applied Machine Learning, Statistical Machine Learning, Model Optimization, Deep Learning, Portfolio Management

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Specialization · 1 - 3 Months

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

  • IBM Data Analyst Capstone Project: IBM
  • Introduction to Self-Driving Cars: University of Toronto
  • Hadoop Platform and Application Framework: University of California San Diego
  • Machine Learning for All: University of London
  • Web Application Technologies and Django: University of Michigan
  • Machine Learning: Real-World Applications: John Wiley & Sons
  • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
  • Sports Performance Analytics: University of Michigan
  • Advanced AI: Techniques, Applications, and Ethics: Madecraft
  • Develop Generative AI Applications: Get Started: IBM

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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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