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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

    • Status: Free
      Free
      B

      Ball State University

      Introduction to Programming

      Skills you'll gain: Program Development, Data Analysis, Programming Principles, Statistical Analysis, Computer Programming, Analytics, Python Programming, Object Oriented Programming (OOP), Natural Language Processing, Data Science, Scripting, Development Environment, NumPy, Algorithms, Debugging

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Classification Trees in Python, From Start To Finish

      Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Data Transformation, Supervised Learning, Predictive Modeling, Feature Engineering, Scikit Learn (Machine Learning Library), Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      230 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Natural Language Processing on Google Cloud

      Skills you'll gain: Natural Language Processing, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Artificial Intelligence, Cloud Computing, Applied Machine Learning, Cloud API, Cloud Solutions, Feature Engineering, Unstructured Data, Data Processing, Machine Learning, Application Programming Interface (API)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      533 reviews

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Python for Finance: Beta and Capital Asset Pricing Model

      Skills you'll gain: Portfolio Management, Plotly, Interactive Data Visualization, Investment Management, Exploratory Data Analysis, Return On Investment, Financial Modeling, Financial Analysis, Statistical Analysis, Financial Data, Data Visualization Software, Market Data, Finance, Equities, Data Analysis, Securities (Finance), Risk Analysis, Pandas (Python Package), Python Programming, Data Manipulation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      44 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of California, Davis

      Python Basics for Online Research

      Skills you'll gain: Debugging, Jupyter, Computational Thinking, Web Scraping, Python Programming, Programming Principles, Data Manipulation, Problem Management, Data Access, Text Mining, Application Programming Interface (API), Scripting, Computer Programming, Data Cleansing, Data Dictionary, Automation, Probability & Statistics, Data Structures, Data Analysis, Web Services

      3.4
      Rating, 3.4 out of 5 stars
      ·
      27 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Data Science Challenge

      Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning, Predictive Modeling, Data Science, Python Programming, Predictive Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      154 reviews

      Intermediate · Guided Project · Less Than 2 Hours

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      U

      University of California San Diego

      Genome Sequencing (Bioinformatics II)

      Skills you'll gain: Bioinformatics, Computer Programming Tools, Medical Science and Research, Computational Thinking, Life Sciences, Algorithms, Pharmaceuticals

      4.6
      Rating, 4.6 out of 5 stars
      ·
      318 reviews

      Intermediate · Course · 1 - 3 Months

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      S

      Scrimba

      Learn Python

      Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Python Programming, Programming Principles, User Interface (UI), Scripting, Performance Tuning, Scripting Languages, File Management, Computer Programming, Computational Thinking, Debugging

      5
      Rating, 5 out of 5 stars
      ·
      12 reviews

      Beginner · Specialization · 1 - 4 Weeks

    • Placeholder
      I

      IBM

      Full Stack Software Developer Assessment

      Skills you'll gain: Cloud Computing, Cloud Services, JavaScript Frameworks, Back-End Web Development, DevOps, Full-Stack Web Development, OpenShift, Version Control, CI/CD, Software Development, Cloud-Native Computing, Microservices, Containerization, Kubernetes, Web Development, Node.JS, Serverless Computing, Docker (Software), Cloud Applications, Django (Web Framework)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      261 reviews

      Intermediate · Course · 1 - 4 Weeks

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      C

      Coursera Project Network

      Data Analysis Using Pyspark

      Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Google Cloud Platform

      4.5
      Rating, 4.5 out of 5 stars
      ·
      296 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      I

      IBM

      Introduction to Software, Programming, and Databases

      Skills you'll gain: Computing Platforms, Software Development Life Cycle, Application Development, Programming Principles, Databases, Database Management, Web Applications, Software Installation, Browser Compatibility, Cloud Computing, Information Technology, Software Versioning, Computer Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      372 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      C

      Cisco Learning and Certifications

      Introduction to Network Automation

      Skills you'll gain: Software-Defined Networking, Network Engineering, Network Architecture, Scripting, Application Programming Interface (API), Data Modeling, General Networking, Automation, Network Administration, Network Infrastructure, Linux Commands, Network Switches, Python Programming, Command-Line Interface

      4.7
      Rating, 4.7 out of 5 stars
      ·
      62 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Introduction to Programming: Ball State University
    • Classification Trees in Python, From Start To Finish: Coursera Project Network
    • Natural Language Processing on Google Cloud: Google Cloud
    • Python for Finance: Beta and Capital Asset Pricing Model: Coursera Project Network
    • Python Basics for Online Research: University of California, Davis
    • Data Science Challenge: Coursera Project Network
    • Genome Sequencing (Bioinformatics II): University of California San Diego
    • Learn Python: Scrimba
    • Full Stack Software Developer Assessment: IBM
    • Data Analysis Using Pyspark: Coursera Project Network

    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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