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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

    • D

      Duke University

      Python and Rust with Linux Command Line Tools

      Skills you'll gain: Python Programming, Software Testing, System Programming

      5
      Rating, 5 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      أساسيات تحليل البيانات باستخدام بايثون وباندا

      Skills you'll gain: Data Analysis, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      34 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • D

      Duke University

      Introduction to Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Natural Language Processing, Supervised Learning, Artificial Neural Networks, Computer Vision, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of London

      Machine Learning for All

      Skills you'll gain: Applied Machine Learning, Feature Engineering, Machine Learning, Artificial Intelligence, Supervised Learning, Data Analysis, Computer Vision, Data Collection, Development Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • T

      Tufts University

      Hypothesis Testing with Python and Excel

      Skills you'll gain: Microsoft Excel, Python Programming

      4.2
      Rating, 4.2 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google

      The Power of Statistics

      Skills you'll gain: Sampling (Statistics), Statistical Hypothesis Testing, Probability & Statistics, Advanced Analytics, Descriptive Statistics, Probability Distribution, Data Analysis, Analytics, Statistical Analysis, Probability, Statistical Methods, Data Science, A/B Testing, Statistics, Statistical Inference, Bayesian Statistics, Statistical Programming, Jupyter

      4.8
      Rating, 4.8 out of 5 stars
      ·
      711 reviews

      Advanced · Course · 1 - 3 Months

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      C

      Coursera Project Network

      Data Visualization using Bokeh

      Skills you'll gain: Data Visualization, Python Programming

      3.8
      Rating, 3.8 out of 5 stars
      ·
      11 reviews

      Intermediate · Guided Project · Less Than 2 Hours

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      G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud

      Skills you'll gain: Applied Machine Learning, Deep Learning, Machine Learning, Tensorflow, Google Cloud Platform, Artificial Neural Networks, Human Learning, Machine Learning Software, Python Programming, Cloud Computing, Cloud Platforms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Course · 1 - 3 Months

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      C

      Coursera Project Network

      Fake News Detection with Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Deep Learning, Text Mining, Artificial Neural Networks, Matplotlib, Data Cleansing, Data Import/Export, Pandas (Python Package), Data Analysis, Natural Language Processing, Python Programming, Machine Learning, Automation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      255 reviews

      Beginner · Guided Project · Less Than 2 Hours

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      C

      Codio

      Select Topics in Python: Packaging

      Skills you'll gain: Package and Software Management, Platform As A Service (PaaS), Development Environment, Virtual Environment, Dependency Analysis, Python Programming, Application Deployment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

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      É

      École Polytechnique Fédérale de Lausanne

      Functional Programming Principles in Scala

      Skills you'll gain: Scala Programming, Programming Principles, Object Oriented Programming (OOP), Functional Design, Software Design Patterns, Computer Programming, Data Structures, Software Engineering, Javascript, Algorithms, Computational Thinking

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8.2K reviews

      Intermediate · Course · 1 - 3 Months

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      I

      IBM

      Generative AI: Enhance your Data Analytics Career

      Skills you'll gain: Generative AI, Data Storytelling, OpenAI, Analytics, Data Analysis, Dashboard, ChatGPT, Artificial Intelligence, Data Ethics, Data Visualization Software, SQL, Python Programming, Data Cleansing, Query Languages

      4.6
      Rating, 4.6 out of 5 stars
      ·
      92 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Python and Rust with Linux Command Line Tools: Duke University
    • أساسيات تحليل البيانات باستخدام بايثون وباندا: Coursera Project Network
    • Introduction to Machine Learning: Duke University
    • Machine Learning for All: University of London
    • Hypothesis Testing with Python and Excel: Tufts University
    • The Power of Statistics: Google
    • Data Visualization using Bokeh: Coursera Project Network
    • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
    • Fake News Detection with Machine Learning: Coursera Project Network
    • Select Topics in Python: Packaging: Codio

    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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