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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 Instructor Network

      Introduction to Prompt Injection Vulnerabilities

      Skills you'll gain: Cybersecurity, Cyber Attacks, Threat Modeling, Risk Analysis, Application Security, Vulnerability Assessments, Network Security, Threat Detection, Data Security, Artificial Intelligence, Risk Mitigation, Generative AI, Natural Language Processing

      3.9
      Rating, 3.9 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      M

      Maven Analytics

      Microsoft Copilot for Excel: AI-Powered Data Analysis

      Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Excel Formulas, People Analytics, Data Manipulation, Data Analysis, Microsoft 365, Pandas (Python Package), ChatGPT, Artificial Intelligence, Data Visualization Software, Generative AI

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Serverless Data Analysis with Google BigQuery and Cloud Dataflow em Português Brasileiro

      Skills you'll gain: Dataflow, Data Warehousing, Data Pipelines, Big Data, Google Cloud Platform, Data Processing, Query Languages, Data Import/Export, Data Analysis, SQL, Scalability, Data Transformation, Serverless Computing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      توقع حضور المواعيد الطبية باستخدام Python

      Skills you'll gain: Exploratory Data Analysis, Data Analysis, Data Processing, Applied Machine Learning, Data Cleansing, Artificial Intelligence, Predictive Modeling, Data Science, Jupyter, Machine Learning, Python Programming

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      M

      MathWorks

      Data Science Companion

      Skills you'll gain: Data Science, Data Processing, Machine Learning, Supervised Learning, Geographic Information Systems, Big Data, Data Visualization, Data Analysis, Amazon Web Services, Cloud Computing, Matlab, Regression Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Robotic Mapping and Trajectory Generation

      Skills you'll gain: Data Mapping, Robotic Process Automation, Artificial Intelligence, Data Integration, Global Positioning Systems, Image Analysis, Simulations, Computational Thinking, Data Structures, Algorithms, Linear Algebra

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

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      U

      University of Colorado Boulder

      Data Processing and Manipulation

      Skills you'll gain: Pivot Tables And Charts, Data Manipulation, Data Transformation, Data Processing, Data Warehousing, Data Cleansing, Dimensionality Reduction, Data Quality, Anomaly Detection, Feature Engineering, Sampling (Statistics), Exploratory Data Analysis, Descriptive Statistics, Statistical Methods

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Michigan

      Debugging: Hunting and Squashing Bugs

      Skills you'll gain: Debugging, Unit Testing, Integrated Development Environments, Development Testing, Development Environment, Technical Communication, Computer Programming, Python Programming, File Management

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      S

      Starweaver

      Build a Data Warehouse Using BigQuery

      Skills you'll gain: Extract, Transform, Load, Data Warehousing, Data Pipelines, Data Governance, Query Languages, Data Infrastructure, Business Intelligence, SQL, Data Architecture, Data Management, Data Transformation, Database Management, Data Security, Google Cloud Platform

      Advanced · Course · 1 - 4 Weeks

    • Placeholder
      É

      École Polytechnique Fédérale de Lausanne

      Parallel programming (Scala 2 version)

      Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Algorithms, Performance Tuning, Functional Design, Scalability, Performance Testing, Computer Architecture

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      Status: Free
      Free
      C

      Coursera Project Network

      Text Generation with Cohere: Recognizing Similarities

      Skills you'll gain: Artificial Intelligence, Text Mining, Generative AI, Natural Language Processing, Python Programming, Application Programming Interface (API), Semantic Web, Systems Integration, Analysis, Software Installation

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      C

      Coursera Project Network

      CNNs with TensorFlow: Basics of Machine Learning

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning, Python Programming, Machine Learning

      Intermediate · Guided Project · Less Than 2 Hours

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

    • Introduction to Prompt Injection Vulnerabilities: Coursera Instructor Network
    • Microsoft Copilot for Excel: AI-Powered Data Analysis: Maven Analytics
    • Serverless Data Analysis with Google BigQuery and Cloud Dataflow em Português Brasileiro: Google Cloud
    • توقع حضور المواعيد الطبية باستخدام Python: Coursera Project Network
    • Data Science Companion: MathWorks
    • Robotic Mapping and Trajectory Generation: University of Colorado Boulder
    • Data Processing and Manipulation: University of Colorado Boulder
    • Debugging: Hunting and Squashing Bugs: University of Michigan
    • Build a Data Warehouse Using BigQuery: Starweaver
    • Parallel programming (Scala 2 version): École Polytechnique Fédérale de Lausanne

    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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