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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

    • R

      Rice University

      Python Data Analysis

      Skills you'll gain: Data Processing, Data Manipulation, Data Structures, Scripting, Data Import/Export, Scripting Languages, Data Analysis, Python Programming, Data Storage, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      886 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Foundations of Data Analysis with Pandas and Python

      Skills you'll gain: Data Import/Export, Pandas (Python Package), Pivot Tables And Charts, Jupyter, Microsoft Excel, Data Analysis, Data Manipulation, Data Wrangling, Programming Principles, Python Programming, Data Structures, Development Environment, Object Oriented Programming (OOP)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Generative AI for Data Analysts

      Skills you'll gain: Generative AI, ChatGPT, Data Storytelling, OpenAI, Analytics, Data Analysis, Dashboard, Data Ethics, Artificial Intelligence, IBM Cloud, Data Visualization Software, Artificial Intelligence and Machine Learning (AI/ML), SQL, Python Programming, Data Processing, Software Development Tools, Data Cleansing, Augmented and Virtual Reality (AR/VR), Image Analysis, Technical Communication

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

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of Colorado Boulder

      Python Packages for Data Science

      Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Data Manipulation, Scatter Plots, Data Science, Histogram, Data Import/Export, Package and Software Management, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      68 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Analysis in Python: Using Pandas DataFrames

      Skills you'll gain: Pandas (Python Package), Scatter Plots, Histogram, Data Manipulation, Data Import/Export, JSON, Data Cleansing, Data Visualization Software, Exploratory Data Analysis, Data Analysis, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • I

      Imperial College London

      Mathematics for Machine Learning

      Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Data Transformation, Jupyter, Data Science, Advanced Mathematics, Statistics, Numerical Analysis, Geometry, Statistical Analysis, Machine Learning Methods, Artificial Neural Networks, Algorithms, Data Manipulation, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

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      D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Transformation, Data Manipulation, Data Science, Machine Learning Algorithms, Applied Mathematics, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      M

      Meta

      Meta Database Engineer

      Skills you'll gain: MySQL, Database Design, Version Control, Database Management Systems, MySQL Workbench, Extract, Transform, Load, Stored Procedure, Data Modeling, Data Structures, SQL, Database Theory, Unix Commands, Relational Databases, Databases, Git (Version Control System), Object Oriented Programming (OOP), Database Management, Database Development, Unit Testing, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.9K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      U

      University of Illinois Urbana-Champaign

      Accounting Data Analytics with Python

      Skills you'll gain: Jupyter, Matplotlib, Data Visualization, Pandas (Python Package), Data Manipulation, Statistical Visualization, SQL, Data Visualization Software, Seaborn, Data Processing, Data Structures, NumPy, Databases, Accounting, Data Science, Python Programming, Regression Analysis, Scripting Languages, Scripting

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      104 reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      D

      Duke University

      Python Scripting

      Skills you'll gain: Command-Line Interface, Scripting, IT Automation, Unix Commands, Computer Programming Tools, Scripting Languages, Python Programming

      Beginner · Guided Project · Less Than 2 Hours

    • Placeholder
      U

      University of Colorado Boulder

      Foundations of Data Structures and Algorithms

      Skills you'll gain: Theoretical Computer Science, Algorithms, Data Structures, Graph Theory, Operations Research, Public Key Cryptography Standards (PKCS), Computational Logic, Cryptography, Computational Thinking, Pseudocode, Design Strategies, Combinatorics, Programming Principles, Computer Programming, Computer Science, Encryption, Network Model, Linear Algebra, Analysis, Mathematical Modeling

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      702 reviews

      Advanced · Specialization · 3 - 6 Months

    • Placeholder
      D

      DeepLearning.AI

      Generative AI with Large Language Models

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Artificial Intelligence, Applied Machine Learning, Scalability, Natural Language Processing, Machine Learning Methods, Application Deployment, Reinforcement Learning, User Feedback, Performance Tuning, Application Performance Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Python Data Analysis: Rice University
    • Foundations of Data Analysis with Pandas and Python: Packt
    • Generative AI for Data Analysts: IBM
    • Python Packages for Data Science: University of Colorado Boulder
    • Data Analysis in Python: Using Pandas DataFrames: Coursera Project Network
    • Mathematics for Machine Learning: Imperial College London
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • Meta Database Engineer: Meta
    • Accounting Data Analytics with Python: University of Illinois Urbana-Champaign
    • Python Scripting: 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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