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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

    • Status: Free
      Free
      C

      Coursera Project Network

      GenAI for Data Analysis : OpenAI Assistant API

      Skills you'll gain: Data Visualization, Data Analysis, Generative AI, OpenAI, Data Processing, Data Manipulation, Artificial Intelligence, Cloud API, Python Programming

      Intermediate · Guided Project · Less Than 2 Hours

    • I

      Institut Mines-Télécom

      Traitement d'images : segmentation et caractérisation

      Skills you'll gain: Image Analysis, Computer Vision, Systems Of Measurement, Computer Programming, Python Programming, Algorithms, Data Validation, Applied Mathematics

      Intermediate · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Getting Started with CyberGIS

      Skills you'll gain: Geospatial Information and Technology, Geographic Information Systems, Apache Hadoop, Spatial Data Analysis, Geospatial Mapping, Big Data, Matplotlib, Data Processing, Computational Thinking, Distributed Computing, Data Manipulation

      4.2
      Rating, 4.2 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Aerial Image Segmentation with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Computer Vision, Applied Machine Learning, Deep Learning

      4
      Rating, 4 out of 5 stars
      ·
      27 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Application Deployment, Debug, Performance 日本語版

      Skills you'll gain: Application Deployment, Cloud Development, Cloud Applications, Google Cloud Platform, Performance Tuning, Cloud Storage, Debugging, Application Performance Management, Containerization, Cloud Services, Cloud Computing, Node.JS

      4.3
      Rating, 4.3 out of 5 stars
      ·
      54 reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Using Sensors With Your Raspberry Pi

      Skills you'll gain: Data Processing, Technical Design, Systems Design, Data Science, Electronic Systems, Data Cleansing, Data Analysis Software, Statistical Methods, NumPy, Data Validation, Engineering Tolerance, Probability & Statistics, Statistics, Mathematical Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Mixed · Course · 1 - 4 Weeks

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      C

      Coursera Project Network

      Diabetes Prediction With Pyspark MLLIB

      Skills you'll gain: Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Predictive Modeling, Machine Learning, Google Cloud Platform

      4.6
      Rating, 4.6 out of 5 stars
      ·
      22 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      M

      Microsoft

      Coding and Automation for Data Analysis with Generative AI

      Skills you'll gain: Excel Formulas, Generative AI, Data Pipelines, Data Ethics, Data Processing, Teradata SQL, Debugging, Automation, Data Transformation, Statistical Programming, Scripting, Artificial Intelligence, Data Analysis, Python Programming, Exploratory Data Analysis

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      Status: Free
      Free
      C

      Coursera Project Network

      OpenAI API for Beginners: Create AI Assistants with ChatGPT

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

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      L

      LearnKartS

      Kafka Fundamentals

      Skills you'll gain: Apache Kafka, Real Time Data, Data Pipelines, Big Data, Data Processing, Distributed Computing, Scalability, Software Installation, Performance Tuning, System Configuration

      4
      Rating, 4 out of 5 stars
      ·
      19 reviews

      Intermediate · Course · 1 - 4 Weeks

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      P

      Packt

      Quantum Computing with Qiskit and Advanced Algorithms

      Skills you'll gain: Algorithms, IBM Cloud, Python Programming, Computer Programming, Computational Thinking, Emerging Technologies, Cryptography, Linear Algebra, Simulations

      Beginner · Course · 1 - 3 Months

    • Placeholder
      P

      Packt

      Deep Learning with Real-World Projects

      Skills you'll gain: Matplotlib, Deep Learning, Linear Algebra, Artificial Neural Networks, NumPy, Image Analysis, Keras (Neural Network Library), Data Visualization Software, Seaborn, Pandas (Python Package), Tensorflow, Machine Learning, Applied Machine Learning, Computer Vision, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, PyTorch (Machine Learning Library), Jupyter, Python Programming

      Beginner · Specialization · 3 - 6 Months

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

    • GenAI for Data Analysis : OpenAI Assistant API : Coursera Project Network
    • Traitement d'images : segmentation et caractérisation: Institut Mines-Télécom
    • Getting Started with CyberGIS: University of Illinois Urbana-Champaign
    • Aerial Image Segmentation with PyTorch : Coursera Project Network
    • Application Deployment, Debug, Performance 日本語版: Google Cloud
    • Using Sensors With Your Raspberry Pi: Johns Hopkins University
    • Diabetes Prediction With Pyspark MLLIB: Coursera Project Network
    • Coding and Automation for Data Analysis with Generative AI: Microsoft
    • OpenAI API for Beginners: Create AI Assistants with ChatGPT: Coursera Project Network
    • Kafka Fundamentals: LearnKartS

    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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