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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

    • C

      Codio

      Programming in Python: A Hands-on Introduction

      Skills you'll gain: Object Oriented Programming (OOP), Programming Principles, Computer Programming, Scripting Languages, Data Import/Export, Data Structures, Python Programming, Scripting, Software Design Patterns, Computational Logic, Computer Science, File Management

      4.5
      Rating, 4.5 out of 5 stars
      ·
      364 reviews

      Beginner · Specialization · 3 - 6 Months

    • P

      Packt

      Deep Neural Network for Beginners Using Python

      Skills you'll gain: Deep Learning

      Beginner · Course · 1 - 3 Months

    • L

      LearnQuest

      Python Scripting for DevOps

      Skills you'll gain: Containerization, Package and Software Management, Unified Modeling Language, Software Testing, Docker (Software), Unit Testing, Application Deployment, Plot (Graphics), Development Testing, Pandas (Python Package), Scripting, Data Modeling, NumPy, Programming Principles, Scripting Languages, Object Oriented Programming (OOP), Data Structures, Object Oriented Design, Computer Programming, Python Programming

      4
      Rating, 4 out of 5 stars
      ·
      199 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      BiteSize Python for Absolute Beginners: Essentials

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      Программирование для всех (начало работы с Python)

      Skills you'll gain: Computer Programming, Python Programming, Programming Principles

      4.8
      Rating, 4.8 out of 5 stars
      ·
      83 reviews

      Mixed · Course · 1 - 3 Months

    • D
      U

      Multiple educators

      Object Oriented Programming in Java

      Skills you'll gain: Unit Testing, Data Structures, Event-Driven Programming, Interactive Data Visualization, Java, Java Programming, Object Oriented Programming (OOP), Development Testing, User Interface (UI), Debugging, Software Testing, Cryptography, Computer Programming, Performance Tuning, Encryption, Algorithms, Graphical Tools, Software Engineering, Program Development, Programming Principles

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      U

      University of California, Irvine

      The Raspberry Pi Platform and Python Programming for the Raspberry Pi

      Skills you'll gain: Linux, Operating Systems, Integrated Development Environments, File Systems, Internet Of Things, Command-Line Interface, Development Environment, System Configuration, Embedded Systems, Python Programming, OS Process Management, User Interface (UI), Computer Hardware, UI Components, Software Installation, Computer Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.8K reviews

      Mixed · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Pennsylvania

      Computational Thinking for Problem Solving

      Skills you'll gain: Computational Thinking, Algorithms, Pseudocode, Analytical Skills, Computer Science, Python Programming, Data Structures, Computer Hardware, Computer Programming, Analysis, Computer Architecture, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      I

      IBM

      IBM Applied DevOps Engineering

      Skills you'll gain: CI/CD, Open Web Application Security Project (OWASP), Istio, Continuous Integration, Agile Software Development, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Kubernetes, Jenkins, Code Coverage, OpenShift, Cloud Applications, Containerization, Agile Methodology, Serverless Computing, DevOps, Secure Coding, Grafana, System Monitoring

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Placeholder
      U

      Universidad Austral

      Aprende a programar con Python

      Skills you'll gain: Software Documentation, Object Oriented Design, Unified Modeling Language, Relational Databases, Object-Relational Mapping, Software Design, Test Driven Development (TDD), Database Management, Unit Testing, Database Design, SQL, Debugging, Data Structures, Python Programming, JSON, File Management, Scripting, Programming Principles, Software Installation, Development Environment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      Status: Free
      Free
      U

      University of California San Diego

      Biology Meets Programming: Bioinformatics for Beginners

      Skills you'll gain: Bioinformatics, Programming Principles, Computational Thinking, Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Washington

      Machine Learning Foundations: A Case Study Approach

      Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13K reviews

      Mixed · Course · 1 - 3 Months

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

    • Programming in Python: A Hands-on Introduction: Codio
    • Deep Neural Network for Beginners Using Python: Packt
    • Python Scripting for DevOps: LearnQuest
    • BiteSize Python for Absolute Beginners: Essentials: University of Colorado Boulder
    • Программирование для всех (начало работы с Python): University of Michigan
    • Object Oriented Programming in Java: Duke University
    • The Raspberry Pi Platform and Python Programming for the Raspberry Pi: University of California, Irvine
    • Computational Thinking for Problem Solving: University of Pennsylvania
    • IBM Applied DevOps Engineering: IBM
    • Aprende a programar con Python: Universidad Austral

    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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