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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

    • G

      Google Cloud

      Getting Started with Application Development - Português

      Skills you'll gain: Cloud Applications, Cloud Development, Google Cloud Platform, Application Development, Data Store, Cloud Platforms, Cloud API, Cloud Storage, Public Cloud, Data Storage, Node.JS, Scalability

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Agentic AI Fundamentals with LangChain and LangGraph

      Skills you'll gain: Generative AI Agents, Agentic systems, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Large Language Modeling, Prompt Engineering, Reinforcement Learning, Applied Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Network Fundamentals & Cisco Platform Development

      Skills you'll gain: Network Troubleshooting, Computing Platforms, Network Administration, General Networking, Software-Defined Networking, OSI Models, TCP/IP, Networking Hardware, Network Infrastructure, Network Model, Restful API, Network Protocols, Network Switches, Scripting, Application Programming Interface (API)

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Mastering AWS SAM and Lambda - A Complete Hands-on Journey

      Skills you'll gain: Serverless Computing, Amazon Web Services, AWS CloudFormation, YAML, AWS Identity and Access Management (IAM), Debugging, Development Environment, Cloud Development, Cloud Applications, Amazon S3, Infrastructure as Code (IaC), Application Programming Interface (API), Restful API, Application Deployment, Node.JS

      Intermediate · Course · 3 - 6 Months

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - Français

      Skills you'll gain: SQL, Generative AI, Applied Machine Learning, Google Cloud Platform, Big Data, Customer Relationship Management, Jupyter, Workflow Management, Artificial Intelligence and Machine Learning (AI/ML), Python Programming

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Securing and Integrating Components of Your App - Português

      Skills you'll gain: Cloud Applications, Cloud Development, Google Cloud Platform, Application Development, Cloud API, API Gateway, Application Programming Interface (API), Serverless Computing, Authentications, Security Assertion Markup Language (SAML), Identity and Access Management, Event-Driven Programming, Node.JS, Microservices, Restful API, Authorization (Computing)

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - Português Brasileiro

      Skills you'll gain: Generative AI, Google Cloud Platform, Customer Relationship Management, Predictive Modeling, SQL, Big Data, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - Bahasa Indonesia

      Skills you'll gain: Generative AI, Customer Relationship Management, Predictive Modeling, Workflow Management, Artificial Intelligence and Machine Learning (AI/ML), SQL, Google Cloud Platform, Jupyter, Big Data, Business Solutions

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - Deutsch

      Skills you'll gain: Generative AI, Google Cloud Platform, Applied Machine Learning, SQL, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Query Languages, Customer Relationship Management

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      Responsible AI: Transparency & Ethics

      Skills you'll gain: Data Ethics, Artificial Intelligence, Compliance Management, Risk Mitigation, Regulatory Compliance, OpenAI, Ethical Standards And Conduct, Predictive Modeling, Business Ethics, Feature Engineering, Machine Learning, Diversity and Inclusion, Prompt Engineering, Exploratory Data Analysis, Auditing, Governance

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      App Deployment, Debugging, and Performance - Português

      Skills you'll gain: Cloud-Native Computing, Cloud Applications, Cloud Development, Application Deployment, Infrastructure as Code (IaC), Google Cloud Platform, Kubernetes, Continuous Deployment, Application Performance Management, Containerization, Docker (Software), Cloud Computing, Performance Tuning, Debugging, Scalability

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - 한국어

      Skills you'll gain: Generative AI, Customer Relationship Management, Workflow Management, Google Cloud Platform, Applied Machine Learning, Big Data, Business Modeling, Artificial Intelligence and Machine Learning (AI/ML), SQL, Predictive Modeling, Python Programming

      Intermediate · Course · 1 - 4 Weeks

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

    • Getting Started with Application Development - Português: Google Cloud
    • Agentic AI Fundamentals with LangChain and LangGraph: IBM
    • Network Fundamentals & Cisco Platform Development: Packt
    • Mastering AWS SAM and Lambda - A Complete Hands-on Journey: Packt
    • Work with Gemini Models in BigQuery - Français: Google Cloud
    • Securing and Integrating Components of Your App - Português: Google Cloud
    • Work with Gemini Models in BigQuery - Português Brasileiro: Google Cloud
    • Work with Gemini Models in BigQuery - Bahasa Indonesia: Google Cloud
    • Work with Gemini Models in BigQuery - Deutsch: Google Cloud
    • Responsible AI: Transparency & Ethics: Coursera Instructor Network

    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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