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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

    • M

      Meta

      Programar en Python

      Skills you'll gain: Test Driven Development (TDD), Unit Testing, Object Oriented Programming (OOP), Python Programming, Programming Principles, Debugging, Data Structures, Software Testing, Back-End Web Development, Computer Programming, Database Development, Software Development Tools

      4.9
      Rating, 4.9 out of 5 stars
      ·
      74 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Pontificia Universidad Católica de Chile

      Programación en Python II: aprendiendo a estructurar datos

      Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Computer Programming, Algorithms, Program Development, Python Programming, Computational Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      87 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Django for Everybody

      Skills you'll gain: Application Deployment, Django (Web Framework), Object-Relational Mapping, HTML and CSS, Model View Controller, jQuery, Ajax, Hypertext Markup Language (HTML), JSON, SQL, Databases, Application Development, Javascript, Object Oriented Programming (OOP), Web Development, Back-End Web Development, Data Modeling, Application Security, Web Applications, Web Servers

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Washington

      Machine Learning: Clustering & Retrieval

      Skills you'll gain: Algorithms, Human Learning, Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Probability & Statistics, Data Analysis, Machine Learning Software, Statistical Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Probability & Statistics for Machine Learning & Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Data Science, Exploratory Data Analysis, Data Analysis, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      519 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Combinatorics and Probability

      Skills you'll gain: Combinatorics, Probability, Algorithms, Mathematical Modeling, Statistics, Applied Mathematics, Python Programming, Simulations

      4.6
      Rating, 4.6 out of 5 stars
      ·
      858 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      U

      University of Colorado Boulder

      Introduction to Machine Learning: Supervised Learning

      Skills you'll gain: Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Python Programming, Probability & Statistics, Statistical Programming, Regression, Data Analysis, Correlation And Dependence, Statistical Tests

      Build toward a degree

      3.4
      Rating, 3.4 out of 5 stars
      ·
      60 reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      U

      University of California San Diego

      Data Structures

      Skills you'll gain: Data Structures, Algorithms, Data Storage, Data Storage Technologies, Programming Principles, Computer Programming, C++ (Programming Language), Java, Theoretical Computer Science, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.5K reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      D

      Duke University

      Introduction to Retrieval Augmented Generation (RAG)

      Skills you'll gain: Data Import/Export, Pandas (Python Package), Generative AI, OpenAI, Application Programming Interface (API), Data Manipulation, Databases, Artificial Intelligence, Data Storage Technologies

      4.3
      Rating, 4.3 out of 5 stars
      ·
      33 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      U

      University of Colorado Boulder

      Foundations of Data Structures and Algorithms

      Skills you'll gain: Theoretical Computer Science, Algorithms, Data Structures, Graph Theory, Operations Research, Public Key Cryptography Standards (PKCS), Computational Logic, Cryptography, Computational Thinking, Pseudocode, Design Strategies, Combinatorics, Programming Principles, Computer Programming, Computer Science, Encryption, Network Model, Linear Algebra, Analysis, Mathematical Modeling

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      678 reviews

      Advanced · Specialization · 1 - 3 Months

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      P

      Packt

      Python for Data Analysis and Automation

      Skills you'll gain: Automation, Python Programming, Programming Principles, Scripting, Debugging, Spreadsheet Software, Data Structures, Data Manipulation, Computer Programming, Software Installation, File Management

      Beginner · Course · 3 - 6 Months

    • Placeholder
      M

      Meta

      Database Clients

      Skills you'll gain: Data Management, Django (Web Framework), Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      87 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Programar en Python: Meta
    • Programación en Python II: aprendiendo a estructurar datos: Pontificia Universidad Católica de Chile
    • Django for Everybody: University of Michigan
    • Machine Learning: Clustering & Retrieval: University of Washington
    • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
    • Combinatorics and Probability: University of California San Diego
    • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
    • Data Structures: University of California San Diego
    • Introduction to Retrieval Augmented Generation (RAG): Duke University
    • Foundations of Data Structures and Algorithms: University of Colorado Boulder

    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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