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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

    • J

      Johns Hopkins University

      Genomic Data Science

      Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Science and Research, Statistical Modeling, Data Structures, Data Analysis, R Programming, Computational Thinking, Statistical Programming, Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      Universidade de São Paulo

      Introdução à Ciência da Computação com Python Parte 2

      Skills you'll gain: Object Oriented Programming (OOP), Computer Programming, Python Programming, Algorithms, Data Structures, Computer Science, Computational Thinking, Maintainability, Data Storage, Performance Testing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Applied Mathematics, Calculus, NumPy, Machine Learning, Jupyter, Python Programming, Artificial Neural Networks, Visualization (Computer Graphics), Deep Learning, Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      795 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Visualization & Storytelling in Python

      Skills you'll gain: Data Storytelling, Plotly, Data Presentation, Matplotlib, Interactive Data Visualization, Seaborn, Data Visualization, Data Visualization Software, Statistical Visualization, Scatter Plots

      Beginner · Guided Project · Less Than 2 Hours

    • I

      IBM

      Statistics for Data Science with Python

      Skills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Hypothesis Testing, Regression Analysis, Data Science, Matplotlib, Exploratory Data Analysis, Statistical Inference, Probability, Correlation Analysis, Pandas (Python Package), Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      425 reviews

      Mixed · Course · 1 - 3 Months

    • I

      IBM

      IBM Data Analyst Capstone Project

      Skills you'll gain: Dashboard, Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Cleansing, IBM Cognos Analytics, Data Collection, Data Analysis, Looker (Software), Web Scraping, Data Storytelling, Data Transformation, Box Plots, Pandas (Python Package), Scatter Plots, Histogram

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Advanced · Course · 1 - 3 Months

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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
      ·
      24 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Placeholder
      U

      Universidad Austral

      Estructuras de datos en Python

      Skills you'll gain: Computer Programming, Python Programming, Programming Principles, Data Structures, Computer Programming Tools, System Programming, Algorithms, Computational Logic, Computational Thinking, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      407 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      D

      Duke University

      Python Programming Fundamentals

      Skills you'll gain: Computational Thinking, Debugging, Algorithms, Program Development, Integrated Development Environments, Software Testing, Programming Principles, Data Processing, Data Manipulation, Python Programming, Microsoft Development Tools, Software Development, Data Analysis, Computer Programming, Scripting Languages

      3.9
      Rating, 3.9 out of 5 stars
      ·
      47 reviews

      Beginner · Course · 1 - 4 Weeks

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      U

      University of Leeds

      An Introduction to Programming using Python

      Skills you'll gain: Programming Principles, Computational Logic, Python Programming, Computer Programming, Automation, Web Development, Algorithms, Debugging, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      59 reviews

      Beginner · Course · 1 - 4 Weeks

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      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Practical Python for AI Coding 1

      Skills you'll gain: NumPy, Python Programming, Artificial Intelligence, Programming Principles, Tensorflow, Data Structures, Development Environment, Keras (Neural Network Library), Scripting Languages, Computer Programming, Scripting, Program Development, Integrated Development Environments, Software Installation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      80 reviews

      Beginner · Course · 1 - 3 Months

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      G
      N
      G
      N

      Multiple educators

      Machine Learning for Trading

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Portfolio Management, Securities Trading, Artificial Intelligence and Machine Learning (AI/ML), Market Data, Financial Market, Artificial Neural Networks

      3.9
      Rating, 3.9 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Specialization · 1 - 3 Months

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

    • Genomic Data Science: Johns Hopkins University
    • Introdução à Ciência da Computação com Python Parte 2: Universidade de São Paulo
    • Calculus for Machine Learning and Data Science: DeepLearning.AI
    • Data Visualization & Storytelling in Python: Coursera Project Network
    • Statistics for Data Science with Python: IBM
    • IBM Data Analyst Capstone Project: IBM
    • Where, Why, and How of Lambda Functions in Python : Coursera Project Network
    • Estructuras de datos en Python: Universidad Austral
    • Python Programming Fundamentals: Duke University
    • An Introduction to Programming using Python: University of Leeds

    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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