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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

      C Programming for Everybody

      Skills you'll gain: C (Programming Language), C++ (Programming Language), Object Oriented Programming (OOP), Data Structures, Programming Principles, Secure Coding, Algorithms, Computer Programming, Software Design, Application Security, System Programming, Python Programming, Maintainability, Java, Performance Tuning, Numerical Analysis, Unix, Computer Science, Computer Programming Tools, Debugging

      4.5
      Rating, 4.5 out of 5 stars
      ·
      133 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Alberta

      Prediction and Control with Function Approximation

      Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra

      4.8
      Rating, 4.8 out of 5 stars
      ·
      829 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Geneva

      Simulation and modeling of natural processes

      Skills you'll gain: Simulations, Python Programming, Statistical Methods, Numerical Analysis, Mathematical Modeling, Probability Distribution, Visualization (Computer Graphics), Mechanics, Artificial Intelligence

      4.3
      Rating, 4.3 out of 5 stars
      ·
      394 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Python NLTK for Beginners: Customer Satisfaction Analysis

      Skills you'll gain: Text Mining, Unstructured Data, Data Analysis, Natural Language Processing, Pandas (Python Package), Data Manipulation, Python Programming, Data Cleansing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • E

      EDHEC Business School

      Python and Machine-Learning for Asset Management with Alternative Data Sets

      Skills you'll gain: Text Mining, Network Analysis, Data Visualization Software, Machine Learning Methods, Unstructured Data, Predictive Modeling, Web Scraping, Financial Statements, Financial Market, Financial Analysis, Asset Management, Python Programming, Data Analysis, Consumer Behaviour

      4.4
      Rating, 4.4 out of 5 stars
      ·
      231 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      Scripting with Python and SQL for Data Engineering

      Skills you'll gain: Web Scraping, MySQL, SQL, JSON, Scripting, Data Manipulation, Data Structures, Database Software, Database Management, Databases, Data Import/Export, Data Storage Technologies, Spatial Analysis, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      100 reviews

      Intermediate · Course · 1 - 4 Weeks

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      U

      University of California San Diego

      Basic Data Processing and Visualization

      Skills you'll gain: Data Processing, Data Manipulation, Interactive Data Visualization, Web Scraping, Data Visualization Software, Pandas (Python Package), Data Cleansing, Matplotlib, Data Import/Export, Exploratory Data Analysis, NumPy, Jupyter, JSON, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      194 reviews

      Intermediate · Course · 1 - 3 Months

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      C

      Codio

      Object-Oriented Python: Inheritance and Encapsulation

      Skills you'll gain: Object Oriented Programming (OOP), Software Design Patterns, Computer Programming, Programming Principles, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      130 reviews

      Intermediate · Course · 1 - 4 Weeks

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      U

      University of California San Diego

      Delivery Problem

      Skills you'll gain: Combinatorics, Theoretical Computer Science, Algorithms, Graph Theory, Computational Thinking, Operations Research, Applied Mathematics, Python Programming, Computer Programming, Mathematical Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      373 reviews

      Beginner · Course · 1 - 4 Weeks

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      I

      Infosec

      Execution, persistence, privilege escalation and evasion

      Skills you'll gain: Cybersecurity, Cyber Operations, Cyber Threat Hunting, Intrusion Detection and Prevention, Scripting, Python Programming, Unix Commands, Command-Line Interface, Microsoft Windows, User Accounts

      4.5
      Rating, 4.5 out of 5 stars
      ·
      83 reviews

      Intermediate · Course · 1 - 4 Weeks

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      A

      Alberta Machine Intelligence Institute

      Machine Learning Algorithms: Supervised Learning Tip to Tail

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Jupyter, Statistical Machine Learning, Decision Tree Learning, Machine Learning, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Performance Measurement, Data Processing, Process Optimization, Data Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      412 reviews

      Mixed · Course · 1 - 4 Weeks

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      C

      Coursera Project Network

      Where, Why, and How of Lambda Functions in Python

      Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      25 reviews

      Beginner · Guided Project · Less Than 2 Hours

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

    • C Programming for Everybody: University of Michigan
    • Prediction and Control with Function Approximation: University of Alberta
    • Simulation and modeling of natural processes: University of Geneva
    • Python NLTK for Beginners: Customer Satisfaction Analysis: Coursera Project Network
    • Python and Machine-Learning for Asset Management with Alternative Data Sets: EDHEC Business School
    • Scripting with Python and SQL for Data Engineering: Duke University
    • Basic Data Processing and Visualization: University of California San Diego
    • Object-Oriented Python: Inheritance and Encapsulation: Codio
    • Delivery Problem: University of California San Diego
    • Execution, persistence, privilege escalation and evasion: Infosec

    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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