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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

    • Status: Free
      Free
      N

      National Taiwan University

      用 Python 做商管程式設計（三）(Programming for Business Computing in Python (3))

      Skills you'll gain: Computer Programming, Python Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      161 reviews

      Mixed · Course · 1 - 3 Months

    • M

      Meta

      Programming in Python

      Skills you'll gain: Object Oriented Programming (OOP), Unit Testing, Test Driven Development (TDD), Software Testing, Data Structures, Python Programming, Computer Programming, Development Environment, Integrated Development Environments, Debugging, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 3 Months

    • I

      Imperial College London

      Introduction to Python for Researchers

      Skills you'll gain: Programming Principles, Microsoft Visual Studio, Computer Programming, Python Programming, Debugging, Scripting, Development Environment, Scripting Languages

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Python Functions, Files, and Dictionaries

      Skills you'll gain: Data Import/Export, Python Programming, File Management, Functional Design, Programming Principles, Data Structures, Computer Programming, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.3K reviews

      Beginner · Course · 1 - 3 Months

    • N

      Northeastern University

      Basic Programming in Python I

      Skills you'll gain: Python Programming

      Beginner · Course · 1 - 3 Months

    • R

      Rice University

      Introduction to Scripting in Python

      Skills you'll gain: Data Visualization Software, Plot (Graphics), Package and Software Management, Python Programming, Data Cleansing, Programming Principles, Data Processing, Data Manipulation, Software Installation, Development Environment, Computational Logic, Data Structures, File Management, Scripting, Data Storage, Data Import/Export, Scripting Languages, Data Integration, Data Analysis, Computer Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.2K reviews

      Beginner · Specialization · 3 - 6 Months

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      C

      Coursera Project Network

      Python for Data Visualization:Matplotlib & Seaborn(Enhanced)

      Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Scatter Plots, Histogram, Data Visualization, Data Visualization Software, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      24 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Placeholder
      I

      IBM

      IBM DevOps and Software Engineering

      Skills you'll gain: CI/CD, Open Web Application Security Project (OWASP), Istio, Continuous Integration, Software Development Life Cycle, Linux Commands, Agile Software Development, Unit Testing, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Kubernetes, Jenkins, Bash (Scripting Language), Cloud Services, Git (Version Control System), DevOps, Jupyter, Grafana

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      57K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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      R

      Rice University

      An Introduction to Interactive Programming in Python (Part 1)

      Skills you'll gain: Computer Programming, Programming Principles, Python Programming, Computational Logic, Computer Programming Tools, Critical Thinking, Computational Thinking, Mathematics, Problem Solving, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 3 Months

    • Placeholder
      I

      IBM

      IBM AI Engineering

      Skills you'll gain: PyTorch (Machine Learning Library), Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Jupyter, Unsupervised Learning, Natural Language Processing, Reinforcement Learning, Deep Learning, Scikit Learn (Machine Learning Library), Image Analysis, Machine Learning Algorithms, Data Manipulation, Tensorflow, Python Programming, Verification And Validation, Applied Machine Learning, ChatGPT, Artificial Neural Networks

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      19K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Placeholder
      U

      University of Michigan

      Python Classes and Inheritance

      Skills you'll gain: Object Oriented Programming (OOP), JSON, Unit Testing, Python Programming, Debugging, Software Design Patterns, Software Testing, Data Structures

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Course · 1 - 4 Weeks

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      P

      Packt

      Intermediate Data Analysis Techniques with Pandas

      Intermediate · Course · 1 - 3 Months

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

    • 用 Python 做商管程式設計（三）(Programming for Business Computing in Python (3)): National Taiwan University
    • Programming in Python: Meta
    • Introduction to Python for Researchers: Imperial College London
    • Python Functions, Files, and Dictionaries: University of Michigan
    • Basic Programming in Python I: Northeastern University
    • Introduction to Scripting in Python: Rice University
    • Python for Data Visualization:Matplotlib & Seaborn(Enhanced): Coursera Project Network
    • IBM DevOps and Software Engineering: IBM
    • An Introduction to Interactive Programming in Python (Part 1): Rice University
    • IBM AI Engineering: IBM

    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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