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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

    • U

      Universidad de los Andes

      Análisis estático lineal y no lineal de estructuras

      Skills you'll gain: Structural Analysis, Engineering Analysis, Mathematical Modeling, Civil Engineering, Finite Element Methods, Numerical Analysis, Python Programming, Linear Algebra, Simulation and Simulation Software

      Advanced · Course · 1 - 3 Months

    • E

      Edureka

      Gen AI for Code Generation for Python

      Skills you'll gain: Prompt Engineering, Generative AI, Scenario Testing, Code Review, Python Programming, Test Case, ChatGPT, Application Development, Automation, Debugging

      4.3
      Rating, 4.3 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      Introduction to Retrieval Augmented Generation (RAG)

      Skills you'll gain: Prompt Engineering, Large Language Modeling, ChatGPT, OpenAI, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Application Development, Data Store, Data Storage Technologies

      4.3
      Rating, 4.3 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Python Scripting for DevOps

      Skills you'll gain: Scripting, Scripting Languages, Python Programming, Computer Programming Tools, Devops Tools, Data Structures, Programming Principles, Program Development

      4.3
      Rating, 4.3 out of 5 stars
      ·
      24 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      N

      Northeastern University

      Information Systems Foundations

      Skills you'll gain: Systems Thinking, Software Visualization, Object Oriented Design, Object Oriented Programming (OOP), Engineering Software, Web Applications, Software Development Life Cycle, Risk Management, Web Development, Software Design, Data Modeling, Software Engineering, Unified Modeling Language, Business Architecture, Python Programming, Business Process Modeling, Application Development, Computer Programming, Development Environment, Software Installation

      2.3
      Rating, 2.3 out of 5 stars
      ·
      11 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau

      Skills you'll gain: Power BI, Data Storytelling, Dashboard, Alteryx, Data Analysis Expressions (DAX), Pivot Tables And Charts, R Programming, Microsoft Excel, Data Visualization Software, Data Visualization, Statistical Programming, Tableau Software, Data Transformation, Interactive Data Visualization, Business Reporting, Automation, Python Programming, Programming Principles, Scripting, Debugging

      4.3
      Rating, 4.3 out of 5 stars
      ·
      6 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Akamai Technologies, Inc.

      Python Scripting Fundamentals

      Skills you'll gain: Application Development, Scripting, MySQL, Data Structures, Python Programming, Program Development, Database Management, Web Applications, File Management, Programming Principles

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 3 Months

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

      Microsoft

      Advanced Python Development Techniques

      Skills you'll gain: Data Structures, Generative AI, Test Driven Development (TDD), Integration Testing, Python Programming, Object Oriented Programming (OOP), Cloud Applications, Serverless Computing, Cloud Computing, Microsoft Azure, Algorithms, Software Documentation, Software Development Tools, Maintainability, Code Review, Software Development, Technical Documentation, Application Deployment

      3.8
      Rating, 3.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Data Science Coding Challenge: Loan Default Prediction

      Skills you'll gain: Applied Machine Learning, Jupyter, Data Processing, Predictive Modeling, Machine Learning, Predictive Analytics, Data Manipulation, Data Science, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      92 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Machine Learning, Visual Recognition and NLP

      Skills you'll gain: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Decision Tree Learning, Natural Language Processing, Feature Engineering, Scikit Learn (Machine Learning Library), Business Metrics, Computer Vision

      4.4
      Rating, 4.4 out of 5 stars
      ·
      86 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      J

      Johns Hopkins University

      Foundational Mathematics for AI

      Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms, Dimensionality Reduction, Correlation Analysis

      Beginner · Course · 1 - 3 Months

    • P

      Pontificia Universidad Católica de Chile

      Procesamiento de Imágenes

      Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Visualization (Computer Graphics), Python Programming, Algorithms, Spatial Analysis, Linear Algebra

      4.3
      Rating, 4.3 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 3 Months

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

    • Análisis estático lineal y no lineal de estructuras: Universidad de los Andes
    • Gen AI for Code Generation for Python: Edureka
    • Introduction to Retrieval Augmented Generation (RAG): Coursera Instructor Network
    • Python Scripting for DevOps: Coursera Project Network
    • Information Systems Foundations: Northeastern University
    • Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau: Packt
    • Python Scripting Fundamentals: Akamai Technologies, Inc.
    • Advanced Python Development Techniques: Microsoft
    • Data Science Coding Challenge: Loan Default Prediction: Coursera Project Network
    • AI Workflow: Machine Learning, Visual Recognition and NLP: 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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