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    • Python Pandas

    Python Pandas Courses Online

    Learn Pandas for data manipulation in Python. Understand how to use Pandas for data cleaning, transformation, and analysis.

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    Explore the Python Pandas Course Catalog

    • C

      Coursera Project Network

      Git for developers: managing workflows and conflicts

      Skills you'll gain: Git (Version Control System), GitHub, GitLab, Version Control, Collaborative Software, Continuous Integration

      Intermediate · Guided Project · Less Than 2 Hours

    • P

      Packt

      Keras Deep Learning & Generative Adversarial Networks (GAN)

      Skills you'll gain: Keras (Neural Network Library), Generative AI, PyTorch (Machine Learning Library), Image Analysis, Exploratory Data Analysis, Predictive Modeling, Deep Learning, Matplotlib, Artificial Intelligence, Pandas (Python Package), Python Programming, NumPy, Data Processing, Data Analysis, Artificial Neural Networks, Programming Principles, Classification And Regression Tree (CART), Regression Analysis, Data Manipulation, Tensorflow

      Intermediate · Specialization · 3 - 6 Months

    • P

      Packt

      Advanced Automation Frameworks and Continuous Integration

      Skills you'll gain: GitHub, Jenkins, Version Control, Git (Version Control System), CI/CD, Continuous Integration, Test Automation, Selenium (Software), Browser Compatibility, Unit Testing, Test Data, Regression Testing, Test Execution Engine, Test Case, Automation, Python Programming, Debugging

      Advanced · Course · 1 - 3 Months

    • O

      O.P. Jindal Global University

      Unsupervised Learning and Its Applications in Marketing

      Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Customer Insights, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Scikit Learn (Machine Learning Library), Marketing, Unstructured Data, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Data-Driven Decision-Making, Algorithms

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Machine/Deep Learning for Mining Quality Prediction-Enhanced

      Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Applied Machine Learning, Data Manipulation, Data Analysis, Random Forest Algorithm, Decision Tree Learning, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Methods

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      تعرَف على هياكل البيانات في بايثون من خلال التطبيق العملي

      Skills you'll gain: Data Structures, Data Management, Programming Principles, Python Programming, Data Storage, Computer Programming, Scripting, Scripting Languages, File Management

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Data Analysts

      Skills you'll gain: Generative AI, Data Analysis, Advanced Analytics, OpenAI, AI Personalization, Analytics, Data Transformation, Anomaly Detection, Predictive Analytics, Data Cleansing, Data Processing, Machine Learning Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      I

      IIT Roorkee

      Data Mining for Smart Cities

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Anomaly Detection, Data Mining, Machine Learning Algorithms, Data Processing, Big Data, Data Cleansing, Data Visualization, Python Programming, Data-Driven Decision-Making, NumPy, Exploratory Data Analysis, Deep Learning, Regression Analysis, Artificial Neural Networks

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      Computer Vision: Face Recognition Quick Starter in Python

      Skills you'll gain: Computer Vision, Image Analysis, Real Time Data, Python Programming, Programming Principles, Visualization (Computer Graphics), Algorithms, Development Environment, Deep Learning, Software Installation

      Beginner · Course · 3 - 6 Months

    • C

      Coursera Project Network

      TensorFlow Prediction: Identify Penguin Species

      Skills you'll gain: Data Processing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Data Manipulation, Machine Learning, Predictive Modeling, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis

      Intermediate · Guided Project · Less Than 2 Hours

    • D

      Duke University

      Designing Larger Python Programs for Data Science

      Skills you'll gain: Python Programming, Simulations, Debugging, Statistical Methods, Pandas (Python Package), Program Development, Unit Testing, Test Case, Data Science, Development Testing, Software Design, Computational Thinking, Integration Testing, Computer Programming, Data Manipulation, Data Structures, Data Cleansing, Data Analysis, Software Engineering, Systems Integration

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Natural Language Processing - Transformers with Hugging Face

      Skills you'll gain: Natural Language Processing, Text Mining, Large Language Modeling, PyTorch (Machine Learning Library), Tensorflow, Python Programming, Applied Machine Learning, Unsupervised Learning

      Intermediate · Course · 1 - 4 Weeks

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

    • Git for developers: managing workflows and conflicts: Coursera Project Network
    • Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
    • Advanced Automation Frameworks and Continuous Integration: Packt
    • Unsupervised Learning and Its Applications in Marketing: O.P. Jindal Global University
    • Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera Project Network
    • تعرَف على هياكل البيانات في بايثون من خلال التطبيق العملي: Coursera Project Network
    • GenAI for Data Analysts: Coursera Instructor Network
    • Data Mining for Smart Cities: IIT Roorkee
    • Computer Vision: Face Recognition Quick Starter in Python: Packt
    • TensorFlow Prediction: Identify Penguin Species: Coursera Project Network

    Skills you can learn in Data Analysis

    Analytics (85)
    Big Data (64)
    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)

    Frequently Asked Questions about Python Pandas

    Python Pandas is a software library for data analysis that is used with the open source Python programming language. By loading data sets into a Pandas DataFrame, a user can manipulate, analyze, and visualize that data for exploratory data analysis. Python Pandas is important to learn about because its flexibility, speed, and power in data processing makes it one of the most widely used Python libraries in data science.

    Pandas is built on the NumPy package, which is the numerical Python library for scientific computing, arrays, and linear algebra. As an example, if you wanted to predict an economic trend with a statistical model, Pandas could be used to import your data set, NumPy machine learning (ML) algorithms could perform the linear regression, and the data visualization library Matplotlib could be used to create your plots and charts. For unstructured data analysis, you could use NLTK (Natural Language Toolkit) to perform text mining for business intelligence applications.‎

    Python Pandas skills have many applications in the real world, as data science is increasingly applied to everything from economics and statistics to neuroscience and advertising. Data scientists are responsible for analyzing massive datasets, designing machine learning algorithms and predictive models, and helping management harness these data-driven insights to answer important business questions.

    Although they often need to be familiar with many data frameworks and programming languages, many data scientists rely on Pandas, NumPy, and other Python programming skills as a foundation for their exploratory data analysis. According to Glassdoor, the national average salary for a data scientist is $113,309 per year.‎

    Yes! Coursera offers a wide range of online courses, Specializations, and professional certificates in data science, including courses that teach the use of Python Pandas for data processing, data analytics, and data visualizations. You can take courses from top-ranked institutions like the University of Michigan as well as industry-leading organizations like IBM, so you can rest assured you’ll get a high-quality education. Coursera’s Guided Projects also allow you to build these skills by completing hands-on tutorials with expert instructors in topics like linear regression and data processing with Python, giving you another way to learn online.‎

    It's necessary to have basic computer skills including how to navigate a cloud desktop and install a computer program before starting to learn Python pandas. It's possible to start learning pandas without any prior knowledge of coding or Python, but having these skills will make learning pandas easier. It's also helpful to have good problem-solving skills, experience organizing and analyzing data, and basic math skills. Experience with statistics can also be helpful but not required. And having prior experience using Jupyter Notebook can also be helpful since you'll likely use it to store and access code as you learn Python pandas.‎

    People who enjoy working with data or coding are well suited for roles in Python pandas, as are people who are analytical thinkers. Important soft skills for someone in a role that uses Python panda include good communication skills, both written and verbal as well as with visualization software; problem-solving skills to troubleshoot technical problems or data errors and collaborate with team members to solve a project issue; and attention to detail to pick out small clues that help draw meaningful conclusions from data.‎

    Learning Python pandas is likely right for you if you plan to enter or are already in the data science field, particularly in roles that require data analysis or software development. You can approach learning pandas in one of two ways: either learning how to access the pandas library without conducting data analysis or using pandas while conducting data analysis. The former is more basic and is for you if want to learn how to clean data, do basic data preprocessing, and handle numeric and text data with pandas. The latter is for you if you are learning data analysis and want to apply real-world exploratory data analysis techniques to advance your knowledge and skills.‎

    Online Python Pandas courses offer a convenient and flexible way to enhance your knowledge or learn new Python Pandas skills. Choose from a wide range of Python Pandas courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Python Pandas, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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