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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

      Coursera Project Network

      Use Python Unit Test to Demonstrate TDD

      Skills you'll gain: Python Programming

      4
      Rating, 4 out of 5 stars
      ·
      7 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Aprendiendo Python con textos, números y ecuaciones

      Skills you'll gain: Computer Programming, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      35 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • I

      IBM

      Introduction to Big Data with Spark and Hadoop

      Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Distributed Computing, SQL

      4.4
      Rating, 4.4 out of 5 stars
      ·
      414 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      BiteSize Python for Absolute Beginners: Data Structures

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Django Application Development with SQL and Databases

      Skills you'll gain: Object-Relational Mapping, Django (Web Framework), Bootstrap (Front-End Framework), SQL, Relational Databases, Cloud Applications, Database Management, Back-End Web Development, Databases, Database Design, Full-Stack Web Development, Application Deployment, Authentications, Model View Controller, Object Oriented Programming (OOP), Authorization (Computing), Application Development

      4.5
      Rating, 4.5 out of 5 stars
      ·
      272 reviews

      Intermediate · Course · 1 - 3 Months

    • W

      Whizlabs

      Exam Prep AI-102: Microsoft Azure AI Engineer Associate

      Skills you'll gain: Python Programming

      3.3
      Rating, 3.3 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      U

      University of Pennsylvania

      AI and Machine Learning Essentials with Python

      Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Statistical Modeling, Supervised Learning, Statistics, Machine Learning, Data Processing, Artificial Intelligence, Artificial Neural Networks, Algorithms, Theoretical Computer Science, Machine Learning Algorithms, Computational Thinking

      4.1
      Rating, 4.1 out of 5 stars
      ·
      19 reviews

      Intermediate · Specialization · 3 - 6 Months

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      R

      Rice University

      Algorithmic Thinking (Part 1)

      Skills you'll gain: Algorithms, Computational Thinking, Computer Programming, Graph Theory, Mathematics, Theoretical Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      376 reviews

      Intermediate · Course · 1 - 4 Weeks

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      C

      Codio

      Select Topics in Python: Django

      Skills you'll gain: Django (Web Framework), Python Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

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      U

      University of California San Diego

      Advanced Algorithms and Complexity

      Skills you'll gain: Algorithms, Computer Programming, Mathematics, Theoretical Computer Science, Graph Theory, Algebra, Computational Thinking, Data Structures

      4.6
      Rating, 4.6 out of 5 stars
      ·
      693 reviews

      Advanced · Course · 1 - 3 Months

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      U

      University of Michigan

      البرمجة للجميع - بدء استخدام بايثون

      Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Software Installation, Development Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      71 reviews

      Mixed · Course · 1 - 3 Months

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      Status: Free
      Free
      C

      Coursera Project Network

      Python Development with ChatGPT: Fullstack App Development

      Skills you'll gain: Python Programming

      3.1
      Rating, 3.1 out of 5 stars
      ·
      7 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    Searches related to python pandas

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    1…363738…95

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

    • Use Python Unit Test to Demonstrate TDD: Coursera Project Network
    • Aprendiendo Python con textos, números y ecuaciones: Coursera Project Network
    • Introduction to Big Data with Spark and Hadoop: IBM
    • BiteSize Python for Absolute Beginners: Data Structures: University of Colorado Boulder
    • Django Application Development with SQL and Databases: IBM
    • Exam Prep AI-102: Microsoft Azure AI Engineer Associate: Whizlabs
    • AI and Machine Learning Essentials with Python: University of Pennsylvania
    • Algorithmic Thinking (Part 1): Rice University
    • Select Topics in Python: Django: Codio
    • Advanced Algorithms and Complexity: University of California San Diego

    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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