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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

      Prompt Engineering with GPT: Programming for Custom Content

      Skills you'll gain: Generative AI, OpenAI, Python Programming, Application Programming Interface (API), Artificial Intelligence, Computer Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      42 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Michigan

      Programmation pour tous (mise en route de Python)

      Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Software Installation, Development Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      38 reviews

      Mixed · Course · 1 - 3 Months

    • I

      IBM

      Django Application Development with SQL and Databases

      Skills you'll gain: Django (Web Framework), Object-Relational Mapping, SQL, Bootstrap (Front-End Framework), Relational Databases, Database Management, Full-Stack Web Development, Back-End Web Development, Databases, Cloud Development, Cloud Applications, Web Applications, Application Deployment, Authentications, Model View Controller, Application Development, Data Modeling, Authorization (Computing), Responsive Web Design

      4.5
      Rating, 4.5 out of 5 stars
      ·
      301 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California, Irvine

      Interfacing with the Raspberry Pi

      Skills you'll gain: Internet Of Things, Application Programming Interface (API), TCP/IP, Embedded Systems, Network Protocols, USB, General Networking, Electronic Hardware, Systems Design, Hardware Design, Computer Hardware, Peripheral Devices, Electrical Engineering, Servers

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.6K reviews

      Mixed · Course · 1 - 4 Weeks

    • M

      Microsoft

      Microsoft AI & ML Engineering

      Skills you'll gain: Unsupervised Learning, Generative AI, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Data Infrastructure, Applied Machine Learning, Reinforcement Learning, Data Ethics, Artificial Intelligence, Test Case, OpenAI, Human Computer Interaction, Performance Testing, Application Deployment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      67 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • R

      Rice University

      Algorithmic Thinking (Part 1)

      Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Programming Principles, Python Programming, Computer Programming, Program Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      376 reviews

      Intermediate · Course · 1 - 4 Weeks

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      Status: Free
      Free
      U

      Universitat Pompeu Fabra of Barcelona

      Audio Signal Processing for Music Applications

      Skills you'll gain: Open Source Technology, Python Programming, NumPy, Computer Programming Tools, Computer Programming, Algorithms, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      290 reviews

      Intermediate · Course · 1 - 3 Months

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      I

      IBM

      Specialized Models: Time Series and Survival Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Jupyter, Data Cleansing, Applied Machine Learning, Exploratory Data Analysis, Pandas (Python Package), NumPy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      133 reviews

      Intermediate · Course · 1 - 4 Weeks

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      J

      Johns Hopkins University

      Applied Calculus with Python

      Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Graphing, Numerical Analysis, Python Programming, Advanced Mathematics, Mathematical Software, Mathematical Modeling, Derivatives, Programming Principles

      4.9
      Rating, 4.9 out of 5 stars
      ·
      41 reviews

      Intermediate · Course · 1 - 3 Months

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      L

      L&T EduTech

      Intelligent Digital Factories

      Skills you'll gain: Machine Learning Algorithms, Internet Of Things, Computer Vision, Artificial Intelligence, Unsupervised Learning, Python Programming, Embedded Software, Peripheral Devices, Integrated Development Environments, Deep Learning, Applied Machine Learning, Embedded Systems, Machine Learning, Image Analysis, Civil Engineering, Computer Programming Tools, Wireless Networks, Automation, Digital Transformation, Systems Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      297 reviews

      Intermediate · Specialization · 3 - 6 Months

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      U

      University of Colorado Boulder

      Fundamental Tools of Data Wrangling

      Skills you'll gain: Pandas (Python Package), Data Wrangling, NumPy, Data Cleansing, Data Structures, Data Analysis, Data Manipulation, Data Synthesis, Data Transformation, Data Quality, Exploratory Data Analysis, Data Integration, Programming Principles, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 3 Months

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      T

      Technical University of Denmark (DTU)

      Introduction to advanced tomography

      Skills you'll gain: Jupyter, 3D Modeling, Image Analysis, Data Manipulation, Data Analysis, Data Processing, Mathematical Modeling, Simulation and Simulation Software, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      61 reviews

      Mixed · Course · 1 - 3 Months

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

    • Prompt Engineering with GPT: Programming for Custom Content: Coursera Project Network
    • Programmation pour tous (mise en route de Python): University of Michigan
    • Django Application Development with SQL and Databases: IBM
    • Interfacing with the Raspberry Pi: University of California, Irvine
    • Microsoft AI & ML Engineering: Microsoft
    • Algorithmic Thinking (Part 1): Rice University
    • Audio Signal Processing for Music Applications: Universitat Pompeu Fabra of Barcelona
    • Specialized Models: Time Series and Survival Analysis: IBM
    • Applied Calculus with Python: Johns Hopkins University
    • Intelligent Digital Factories: L&T EduTech

    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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