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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

      Conducting Exploratory Data Analysis

      Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Data Visualization, Pandas (Python Package), Plot (Graphics), Statistical Visualization, Data Visualization Software, Analysis, Data Analysis, Python Programming

      Intermediate · Guided Project · Less Than 2 Hours

    • D

      Duke University

      Introduction to Generative AI

      Skills you'll gain: Generative AI, OpenAI, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Natural Language Processing, GitHub, Application Programming Interface (API)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      95 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Open AI for Beginners: Programmatic Prompting

      Skills you'll gain: OpenAI, JSON, Application Programming Interface (API), Web Applications, ChatGPT, Generative AI, Artificial Intelligence, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      14 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • M

      Meta

      Meta Marketing Science Certification Exam

      Skills you'll gain: Interviewing Skills, Marketing Analytics, Marketing, Digital Marketing, Analytics, Data Analysis, Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      185 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Explainable AI (XAI)

      Skills you'll gain: Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, Machine Learning, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Python Programming, Applied Machine Learning, Natural Language Processing, Deep Learning, Business Ethics, Visualization (Computer Graphics), Artificial Neural Networks, Computer Vision, Data-Driven Decision-Making, Decision Making

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21 reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of California, Davis

      Python Basics: Automation and Bots

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Colorado Boulder

      Trees and Graphs: Basics

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

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      127 reviews

      Advanced · Course · 1 - 4 Weeks

    • Placeholder
      T

      The University of Chicago

      Machine Learning: Concepts and Applications

      Skills you'll gain: Machine Learning, Regression

      3.7
      Rating, 3.7 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 3 Months

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      F

      Fractal Analytics

      Generative AI for Developers

      Skills you'll gain: Generative AI, Code Review, Debugging, Data Ethics, OpenAI, ChatGPT, Artificial Intelligence, Object Oriented Programming (OOP), Artificial Neural Networks, Interactive Learning, Computer Programming, Governance, Programming Principles, Deep Learning, Program Development, Maintainability, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Cleansing, Human Computer Interaction

      4.4
      Rating, 4.4 out of 5 stars
      ·
      69 reviews

      Beginner · Specialization · 1 - 3 Months

    • Placeholder
      D

      Duke University

      Data Visualization and Modeling in Python

      Skills you'll gain: Data Visualization

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      L

      LearnQuest

      Test-Driven Development

      Skills you'll gain: Continuous Delivery, Test Driven Development (TDD), Unit Testing, Continuous Deployment, Continuous Integration, CI/CD, Agile Methodology, Test Automation, Code Review, Software Development, Mockups, Development Testing, Acceptance Testing, Software Testing, Test Case, Integration Testing, Debugging, User Story, Python Programming, Version Control

      4
      Rating, 4 out of 5 stars
      ·
      80 reviews

      Intermediate · Specialization · 3 - 6 Months

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      P

      Packt

      Machine Learning: Random Forest with Python from Scratch©

      Skills you'll gain: Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Matplotlib, Classification And Regression Tree (CART), Machine Learning, Supervised Learning, Data Manipulation, Data Transformation, Python Programming, Programming Principles, Data Cleansing, Data Visualization Software, Pandas (Python Package), NumPy

      Beginner · Course · 1 - 3 Months

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

    • Conducting Exploratory Data Analysis: Coursera Project Network
    • Introduction to Generative AI: Duke University
    • Open AI for Beginners: Programmatic Prompting: Coursera Project Network
    • Meta Marketing Science Certification Exam: Meta
    • Explainable AI (XAI): Duke University
    • Python Basics: Automation and Bots: University of California, Davis
    • Trees and Graphs: Basics: University of Colorado Boulder
    • Machine Learning: Concepts and Applications: The University of Chicago
    • Generative AI for Developers: Fractal Analytics
    • Data Visualization and Modeling in Python: Duke University

    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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