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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

      Creative Coding for Designers Using Python

      Skills you'll gain: Python Programming

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The University of Chicago

      Software Defined Networking

      Skills you'll gain: Computer Networking, Software-Defined Networking, Network Architecture, Network Analysis, Network Model, Networking Hardware, Communication, Computer Programming, Python Programming, Software Framework

      4.6
      Rating, 4.6 out of 5 stars
      ·
      284 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Python for Finance: Beta and Capital Asset Pricing Model

      Skills you'll gain: Data Analysis, Data Visualization, Financial Analysis, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      44 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Illinois Urbana-Champaign

      Cluster Analysis in Data Mining

      Skills you'll gain: Machine Learning, Machine Learning Algorithms, Python Programming, Statistical Programming, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      408 reviews

      Mixed · Course · 1 - 3 Months

    • U

      Università di Napoli Federico II

      Python: Istruzioni per l’uso

      Skills you'll gain: Python Programming

      4.2
      Rating, 4.2 out of 5 stars
      ·
      38 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Prompt Engineering with GPT: Programming for Custom Content

      Skills you'll gain: Generative AI, OpenAI, Python Programming, Application Programming Interface (API), Artificial Intelligence, Computer Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      41 reviews

      Intermediate · Guided Project · Less Than 2 Hours

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      Status: Free
      Free
      E

      EDUCBA

      Regression & Forecasting for Data Scientists using Python

      Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Feature Engineering, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Matplotlib, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Cleansing, Data Transformation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      32 reviews

      Intermediate · Course · 1 - 4 Weeks

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      I

      Imperial College London

      TensorFlow 2 for Deep Learning

      Skills you'll gain: Tensorflow, Generative AI, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Machine Learning, Statistics, Unsupervised Learning, Python Programming, Probability & Statistics, Time Series Analysis and Forecasting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      707 reviews

      Intermediate · Specialization · 3 - 6 Months

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      D

      DeepLearning.AI

      Build Better Generative Adversarial Networks (GANs)

      Skills you'll gain: Deep Learning, Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Python Programming, Computer Vision, General Statistics, Probability & Statistics, Problem Solving, Statistical Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      673 reviews

      Intermediate · Course · 1 - 4 Weeks

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      G

      Google

      Google Advanced Data Analytics Capstone

      Skills you'll gain: Regression Analysis, Data Visualization, Statistical Analysis, Advanced Analytics, Data Analysis, Business Analytics, Data Science, Data-Driven Decision-Making, Predictive Modeling, Machine Learning, Interviewing Skills, Portfolio Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.1K reviews

      Advanced · Course · 1 - 4 Weeks

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      L

      LearnQuest

      Developing AI Applications on Azure

      Skills you'll gain: Machine Learning, Cloud Computing, Microsoft Azure, Machine Learning Software, Python Programming, Statistical Programming, Computer Programming, Human Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      974 reviews

      Advanced · Course · 1 - 3 Months

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      P

      Packt

      Python Programming for Quantum Computing

      Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Data Structures, Scripting Languages, Data Manipulation, Computer Programming, Programming Principles, Scripting, Software Installation, Development Environment, Jupyter, Mac OS, Microsoft Windows

      4
      Rating, 4 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Creative Coding for Designers Using Python: University of Michigan
    • Software Defined Networking: The University of Chicago
    • Python for Finance: Beta and Capital Asset Pricing Model: Coursera Project Network
    • Cluster Analysis in Data Mining: University of Illinois Urbana-Champaign
    • Python: Istruzioni per l’uso: Università di Napoli Federico II
    • Prompt Engineering with GPT: Programming for Custom Content: Coursera Project Network
    • Regression & Forecasting for Data Scientists using Python: EDUCBA
    • TensorFlow 2 for Deep Learning: Imperial College London
    • Build Better Generative Adversarial Networks (GANs): DeepLearning.AI
    • Google Advanced Data Analytics Capstone: Google

    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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