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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

    • C

      Corporate Finance Institute

      Python Fundamentals

      Skills you'll gain: Matplotlib, Financial Data, Exploratory Data Analysis, Statistical Methods, Pandas (Python Package), Financial Analysis, Data Visualization Software, Statistical Analysis, Data Manipulation, NumPy, Seaborn, Data Analysis, Data Science, Data Transformation, Data Import/Export, Python Programming, Data Cleansing, Computer Programming

      Advanced · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Expressway to Data Science: Python Programming

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      266 reviews

      Beginner · Specialization · 1 - 3 Months

    • I

      IBM

      IBM AI Engineering

      Skills you'll gain: PyTorch (Machine Learning Library), Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Jupyter, Unsupervised Learning, Natural Language Processing, Reinforcement Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Manipulation, Tensorflow, Python Programming, Verification And Validation, Applied Machine Learning, ChatGPT, Artificial Neural Networks, Statistical Machine Learning

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • C

      Coursera Project Network

      Mastering Data Analysis with Pandas: Learning Path Part 3

      Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Exploratory Data Analysis, Python Programming, Data Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      16 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • 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

    • U

      University of Michigan

      Python Data Structures

      Skills you'll gain: Data Structures, Python Programming, Data Manipulation, Development Environment, File Management, Data Analysis, Computer Programming, Software Installation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      96K reviews

      Beginner · Course · 1 - 3 Months

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      C

      Coursera Project Network

      Mastering Data Analysis with Pandas: Learning Path Part 4

      Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Time Series Analysis and Forecasting, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      15 reviews

      Beginner · Guided Project · Less Than 2 Hours

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      C

      Coursera Project Network

      Mastering Data Analysis with Pandas: Learning Path Part 2

      Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Data Wrangling, Exploratory Data Analysis, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      27 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Placeholder
      C

      Coursera Project Network

      Mastering Data Analysis with Pandas: Learning Path Part 5

      Skills you'll gain: Pandas (Python Package), Data Visualization, Plot (Graphics), Data Manipulation, Data Cleansing, Histogram, Text Mining, Data Analysis, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      15 reviews

      Beginner · Guided Project · Less Than 2 Hours

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      Status: [object Object]
      AI skills
      I

      IBM

      IBM Data Analyst

      Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Presentation, Data Wrangling, Data Visualization, SQL, Generative AI, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Big Data, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, Pandas (Python Package), Excel Formulas, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      89K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      I
      U
      I

      Multiple educators

      Data Science Foundations

      Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Mining, Pandas (Python Package), Data Visualization Software, Correlation Analysis, Web Scraping, NumPy, R Programming, Probability & Statistics, Predictive Modeling, Big Data, Automation, Computer Programming Tools, GitHub, Data Analysis Software, Machine Learning Algorithms, Unsupervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      111K reviews

      Beginner · Specialization · 3 - 6 Months

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      U

      University of Michigan

      Applied Plotting, Charting & Data Representation in Python

      Skills you'll gain: Matplotlib, Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Visualization (Computer Graphics), Statistical Visualization, Graphing, Scatter Plots, Data Manipulation, Histogram, NumPy, Pandas (Python Package)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.3K reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Python Fundamentals: Corporate Finance Institute
    • Expressway to Data Science: Python Programming: University of Colorado Boulder
    • IBM AI Engineering: IBM
    • Mastering Data Analysis with Pandas: Learning Path Part 3: Coursera Project Network
    • Accounting Data Analytics with Python: University of Illinois Urbana-Champaign
    • Python Data Structures: University of Michigan
    • Mastering Data Analysis with Pandas: Learning Path Part 4: Coursera Project Network
    • Mastering Data Analysis with Pandas: Learning Path Part 2: Coursera Project Network
    • Mastering Data Analysis with Pandas: Learning Path Part 5: Coursera Project Network
    • IBM Data Analyst: IBM

    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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