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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

    • U

      University of Michigan

      Moneyball and Beyond

      Skills you'll gain: Analytics, Data Analysis, Advanced Analytics, Statistical Analysis, Data Science, Probability & Statistics, Statistics, Python Programming, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      51 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Deep Learning - Computer Vision for Beginners Using PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, Image Analysis, Matplotlib, Python Programming, Deep Learning, Pandas (Python Package), NumPy, Data Manipulation, Artificial Neural Networks

      Intermediate · Course · 1 - 3 Months

    • M

      Meta

      Database Engineer Capstone

      Skills you'll gain: Stored Procedure, Database Design, Git (Version Control System), MySQL, Databases, Database Application, Database Management, Data Visualization Software, Version Control, SQL, Tableau Software, Data Modeling, Transaction Processing, Python Programming

      3.9
      Rating, 3.9 out of 5 stars
      ·
      62 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Visualization for Data Journalism

      Skills you'll gain: Data Visualization, Interactive Data Visualization, Data Presentation, Infographics, Data Visualization Software, Data Wrangling, Data Storytelling, Plotly, Matplotlib, Journalism, Graphing, Statistical Visualization, Graphic and Visual Design, Color Theory, Data Manipulation, Data Transformation, Visual Design, Design Elements And Principles

      4.5
      Rating, 4.5 out of 5 stars
      ·
      67 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Process Documents with Python Using the Document AI API

      Skills you'll gain: Google Cloud Platform, Unstructured Data, Data Processing, Cloud API, Jupyter, Data Transformation, Real Time Data

      Beginner · Project · Less Than 2 Hours

    • U

      University of Colorado Boulder

      Introduction to High-Performance and Parallel Computing

      Skills you'll gain: Bash (Scripting Language), Scalability, Performance Testing, Distributed Computing, Computer Systems, Big Data, Operating Systems, Performance Tuning, File Systems, Linux, Command-Line Interface, Programming Principles

      Build toward a degree

      3.5
      Rating, 3.5 out of 5 stars
      ·
      123 reviews

      Beginner · Course · 1 - 4 Weeks

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      U

      University of Michigan

      Data Structures for Designers Using Python

      Skills you'll gain: Object Oriented Programming (OOP), Software Design, Technical Design, Program Development, Data Structures, Visualization (Computer Graphics), Programming Principles, Graphic and Visual Design, Computer Graphics, Creative Design, Python Programming, Interactive Design, Computer Graphic Techniques, Algorithms

      Intermediate · Course · 1 - 3 Months

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      E

      Edureka

      Introduction to PySpark

      Skills you'll gain: PySpark, Apache Spark, Distributed Computing, Big Data, Apache Hadoop, Data Processing, Data Manipulation, Data Analysis Software, Python Programming, Scalability

      3.6
      Rating, 3.6 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 4 Weeks

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      D

      Duke University

      Python Generators

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

      Beginner · Guided Project · Less Than 2 Hours

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      N

      Northwestern University

      Modern Robotics, Course 2: Robot Kinematics

      Skills you'll gain: Mathematical Modeling, Engineering Calculations, Engineering Analysis, Mechanics, Simulation and Simulation Software, Virtual Environment, Torque (Physics), Trigonometry

      4.9
      Rating, 4.9 out of 5 stars
      ·
      290 reviews

      Intermediate · Course · 1 - 4 Weeks

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      M

      Microsoft

      Microsoft Azure Machine Learning for Data Scientists

      Skills you'll gain: Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Data Ethics, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Application Deployment, Data Pipelines

      4.3
      Rating, 4.3 out of 5 stars
      ·
      157 reviews

      Intermediate · Course · 1 - 4 Weeks

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      M

      Meta

      Desarrollador back-end de Meta

      Skills you'll gain: Full-Stack Web Development, Restful API, Django (Web Framework), Relational Databases, Version Control, SQL, Unix Commands, Git (Version Control System), GitHub, Database Design, Responsive Web Design, Web Design and Development, Database Management Systems, Front-End Web Development, Algorithms, MySQL, Test Driven Development (TDD), Unit Testing, Pseudocode, Web Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      384 reviews

      Beginner · Professional Certificate · 3 - 6 Months

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

    • Moneyball and Beyond: University of Michigan
    • Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
    • Database Engineer Capstone: Meta
    • Visualization for Data Journalism: University of Illinois Urbana-Champaign
    • Process Documents with Python Using the Document AI API: Google Cloud
    • Introduction to High-Performance and Parallel Computing: University of Colorado Boulder
    • Data Structures for Designers Using Python: University of Michigan
    • Introduction to PySpark: Edureka
    • Python Generators: Duke University
    • Modern Robotics, Course 2: Robot Kinematics: Northwestern 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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