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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 Project for Data Science

      Skills you'll gain: Dashboard, Pandas (Python Package), Data Visualization Software, Web Scraping, Jupyter, Data Analysis, Data Science, Data Processing, NumPy, Data Manipulation, Python Programming, Data Collection

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

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google

      Crash Course on Python

      Skills you'll gain: Scripting, Python Programming, Computer Programming, Algorithms, Problem Management, Data Structures, Debugging, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      39K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      Programming for Everybody (Getting Started with Python)

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      230K reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Exploratory Data Analysis With Python and Pandas

      Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, NumPy, Statistical Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      428 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Michigan

      Understanding and Visualizing Data with Python

      Skills you'll gain: Sampling (Statistics), Data Visualization, Statistics, Matplotlib, Statistical Visualization, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Box Plots, Histogram, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: [object Object]
      New AI skills
      G

      Google

      Google Cybersecurity

      Skills you'll gain: Threat Modeling, Open Web Application Security Project (OWASP), Intrusion Detection and Prevention, Security Controls, Vulnerability Management, Incident Response, Computer Security Incident Management, Cyber Threat Intelligence, Vulnerability Assessments, Event Monitoring, Network Security, Security Awareness, Threat Detection, Risk Management, Cybersecurity, Hardening, Bash (Scripting Language), Data Ethics, Linux Commands, Debugging

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      46K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      U

      University of Michigan

      Python for Everybody

      Skills you'll gain: Web Scraping, Data Processing, Relational Databases, JSON, Database Design, SQL, Network Protocols, Databases, Web Services, Restful API, Programming Principles, Data Cleansing, Data Structures, Data Storytelling, Data Collection, Computer Programming, Python Programming, Data Manipulation, Development Environment, Computational Thinking

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      276K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      R

      Rice University

      Python Programming Essentials

      Skills you'll gain: Programming Principles, Python Programming, Computational Logic, Development Environment, Computer Programming, Scripting Languages, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      I

      IBM

      Applied Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Plotly, Data Wrangling, Data Visualization, Exploratory Data Analysis, Data Cleansing, Jupyter, Matplotlib, Data Analysis, Pandas (Python Package), Data Manipulation, Seaborn, Data Transformation, Data Import/Export, Predictive Modeling, Web Scraping, Interactive Data Visualization, Automation, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      56K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Generative AI, Data Wrangling, Unit Testing, Supervised Learning, Feature Engineering, ChatGPT, Keras (Neural Network Library), Unsupervised Learning, Natural Language Processing, Data Cleansing, Jupyter, Data Analysis, Deep Learning, Data Manipulation, PyTorch (Machine Learning Library), Data Transformation, Artificial Intelligence, Data Import/Export, Data Ethics, Exploratory Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      79K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      Status: Free
      Free
      N

      Nanjing University

      Data Processing Using Python

      Skills you'll gain: Computer Programming, Python Programming, Data Analysis, Programming Principles, Data Structures, Mathematical Theory & Analysis, Statistical Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      362 reviews

      Beginner · Course · 1 - 3 Months

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      G

      Google

      Google IT Automation with Python

      Skills you'll gain: Git (Version Control System), GitHub, Version Control, Puppet (Configuration Management Tool), CI/CD, Containerization, Debugging, Bash (Scripting Language), Infrastructure as Code (IaC), Docker (Software), Continuous Deployment, Continuous Integration, Technical Communication, Network Troubleshooting, Linux Commands, Linux, Scripting, Automation, Python Programming, Computer Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      47K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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

    • Python Project for Data Science: IBM
    • Crash Course on Python: Google
    • Programming for Everybody (Getting Started with Python): University of Michigan
    • Exploratory Data Analysis With Python and Pandas: Coursera Project Network
    • Understanding and Visualizing Data with Python: University of Michigan
    • Google Cybersecurity: Google
    • Python for Everybody: University of Michigan
    • Python Programming Essentials: Rice University
    • Applied Data Science: IBM
    • IBM Generative AI Engineering: IBM

    Skills you can learn in Data Analysis

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    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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