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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

    • I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Computer Programming, Data Analysis, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      39K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Data Analysis with Python

      Skills you'll gain: Computer Programming, Data Analysis, Data Visualization, Exploratory Data Analysis, General Statistics, Machine Learning, Machine Learning Algorithms, Plot (Graphics), Probability & Statistics, Python Programming, Regression

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19K reviews

      Intermediate · Course · 1 - 3 Months

    • D

      Duke University

      Python and Pandas for Data Engineering

      Skills you'll gain: Computer Programming, Python Programming, Programming Principles, Big Data, Computational Logic, Computer Programming Tools, Data Analysis, Data Structures, Problem Solving

      4.6
      Rating, 4.6 out of 5 stars
      ·
      222 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Python for Data Analysis: Pandas & NumPy

      Skills you'll gain: Data Analysis, Data Science, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      298 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Michigan

      Applied Data Science with Python

      Skills you'll gain: Python Programming, Data Analysis, Computer Programming, Machine Learning, Algorithms, Applied Machine Learning, Data Mining, Machine Learning Algorithms, Exploratory Data Analysis, Statistical Programming, Data Management, Extract, Transform, Load, Natural Language Processing, Critical Thinking, Statistical Machine Learning, Data Structures, Graph Theory, Network Analysis, Human Learning, Data Visualization, Network Model, Regression, Computer Networking, General Statistics, Network Architecture, Plot (Graphics), Computer Graphics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      34K reviews

      Intermediate · Specialization · 3 - 6 Months

    • P

      Packt

      Data Analysis with Pandas and Python

      Skills you'll gain: Data Analysis, Python Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      11 reviews

      Intermediate · Specialization · 3 - 6 Months

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      Status: Free
      Free
      T

      The Hong Kong University of Science and Technology

      Python and Statistics for Financial Analysis

      Skills you'll gain: Basic Descriptive Statistics, Computer Programming, Data Analysis, Finance, Financial Analysis, Probability & Statistics, Python Programming, Statistical Analysis, General Statistics, Probability Distribution, Data Visualization

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.4K reviews

      Intermediate · Course · 1 - 4 Weeks

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      U

      University of Pennsylvania

      Data Analysis Using Python

      Skills you'll gain: Data Analysis, Python Programming, Computer Programming, Data Analysis Software, Data Management, Data Structures, Data Visualization, Exploratory Data Analysis, Programming Principles, Computer Programming Tools, Data Science

      4.5
      Rating, 4.5 out of 5 stars
      ·
      410 reviews

      Beginner · Course · 1 - 4 Weeks

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      C

      Coursera Project Network

      Mastering Data Analysis with Pandas

      Skills you'll gain: Computer Programming, Data Analysis, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      155 reviews

      Beginner · Guided Project · Less Than 2 Hours

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      D

      Duke University

      Pandas for Data Science

      4.3
      Rating, 4.3 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

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      I

      IBM

      Developing AI Applications with Python and Flask

      Skills you'll gain: Software Testing, Application Development, Computer Programming, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      916 reviews

      Intermediate · Course · 1 - 4 Weeks

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      C

      Coursera Project Network

      Master Data Analysis with Pandas: Learning Path 1 (Enhanced)

      Skills you'll gain: Data Analysis, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      24 reviews

      Beginner · Guided Project · Less Than 2 Hours

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    1234…98

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

    • Python for Data Science, AI & Development: IBM
    • Data Analysis with Python: IBM
    • Python and Pandas for Data Engineering: Duke University
    • Python for Data Analysis: Pandas & NumPy: Coursera Project Network
    • Applied Data Science with Python: University of Michigan
    • Data Analysis with Pandas and Python: Packt
    • Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
    • Data Analysis Using Python: University of Pennsylvania
    • Mastering Data Analysis with Pandas: Coursera Project Network
    • Pandas for Data Science: 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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