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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

      Introduction to Data Science

      Skills you'll gain: SQL, Jupyter, Data Mining, Data Modeling, Databases, Data Science, Stored Procedure, Relational Databases, R Programming, Database Design, Query Languages, Database Management, Big Data, Computer Programming Tools, GitHub, Data Visualization Software, Application Deployment, Data-Driven Decision-Making, Cloud Computing, Data Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      97K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      Universidad Nacional Autónoma de México

      Python: de cero a analista de datos

      Skills you'll gain: Exploratory Data Analysis, Matplotlib, Pandas (Python Package), Extract, Transform, Load, Data Analysis, NumPy, Package and Software Management, Time Series Analysis and Forecasting, Data Visualization Software, Data Science, Python Programming, Jupyter, Graphing, Data Processing, Data Import/Export, Data Manipulation, Scripting, Software Installation, Computational Thinking, Mac OS

      4.2
      Rating, 4.2 out of 5 stars
      ·
      31 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Análisis exploratorio de datos con Python y Pandas

      Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Data Visualization, Seaborn, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, NumPy, Data Manipulation, Data Cleansing, Descriptive Statistics, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      14 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Illinois Urbana-Champaign

      Machine Learning for Accounting with Python

      Skills you'll gain: Machine Learning Algorithms, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning, Text Mining, Applied Machine Learning, Time Series Analysis and Forecasting, Data Processing, Supervised Learning, Predictive Modeling, Python Programming, Random Forest Algorithm, Regression Analysis, Feature Engineering, Jupyter, Pandas (Python Package), Natural Language Processing, Decision Tree Learning, Performance Metric

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      43 reviews

      Intermediate · Course · 1 - 3 Months

    • 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 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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      U

      University of California San Diego

      Python Data Products for Predictive Analytics

      Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Data Processing, Data Manipulation, Predictive Analytics, Interactive Data Visualization, Design Thinking, Web Scraping, Machine Learning Algorithms, Flask (Web Framework), Data Visualization Software, Scikit Learn (Machine Learning Library), Application Deployment, Data Cleansing, Data Validation, Verification And Validation, Django (Web Framework), Statistical Modeling, Web Applications

      4.2
      Rating, 4.2 out of 5 stars
      ·
      243 reviews

      Intermediate · Specialization · 3 - 6 Months

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      C

      Coursera Project Network

      Data Analysis with Python: Inform a Business Decision

      Skills you'll gain: Data Visualization, Data Storytelling, Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Exploratory Data Analysis, Business Analysis, Strategic Decision-Making, Data Manipulation, Data Cleansing, Python Programming, Data Import/Export, Promotional Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Beginner · Guided Project · Less Than 2 Hours

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      U

      University of Colorado Boulder

      Introduction to Python Fundamentals

      Skills you'll gain: Programming Principles, Computer Science, Computer Programming, Data Manipulation, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      192 reviews

      Beginner · Course · 1 - 4 Weeks

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      A

      Arizona State University

      Introduction to Python

      Skills you'll gain: Integrated Development Environments, Development Environment, Python Programming, Programming Principles, Scripting, Software Engineering, Computer Programming, Computer Engineering

      4.5
      Rating, 4.5 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 3 Months

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      D

      Duke University

      Data Visualization with Python

      Skills you'll gain: Data Visualization Software, Data Visualization, Data Storytelling, Interactive Data Visualization, Plotly, Matplotlib, Dashboard, Seaborn, Tableau Software, Scatter Plots, Spreadsheet Software, Histogram, Google Sheets, Microsoft Excel, Business Intelligence Software, Pandas (Python Package)

      4
      Rating, 4 out of 5 stars
      ·
      21 reviews

      Intermediate · Course · 1 - 4 Weeks

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      U

      University of Colorado Boulder

      BiteSize Python: NumPy and Pandas

      Skills you'll gain: Pandas (Python Package), NumPy, Data Structures, Data Import/Export, Data Manipulation, Data Cleansing, Statistical Methods, Numerical Analysis, Data Analysis

      Intermediate · Course · 1 - 3 Months

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

    • Introduction to Data Science: IBM
    • Python: de cero a analista de datos: Universidad Nacional Autónoma de México
    • Análisis exploratorio de datos con Python y Pandas: Coursera Project Network
    • Machine Learning for Accounting with Python: University of Illinois Urbana-Champaign
    • Python Fundamentals: Corporate Finance Institute
    • Applied Plotting, Charting & Data Representation in Python: University of Michigan
    • Python Data Products for Predictive Analytics: University of California San Diego
    • Data Analysis with Python: Inform a Business Decision: Coursera Project Network
    • Introduction to Python Fundamentals: University of Colorado Boulder
    • Introduction to Python: Arizona State 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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