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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 Trial
      Free Trial
      S

      Scrimba

      Learn Python: 3

      Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Data Structures, Performance Tuning, File Management, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Leeds

      Statistical Methods

      Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, Data Collection, Statistics, Statistical Inference, R Programming, Probability, Data Analysis, Probability Distribution, Simulations, Statistical Visualization, Descriptive Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      The Power of Object-Oriented Programming

      Skills you'll gain: Object Oriented Programming (OOP), Computer Programming, Program Development, Python Programming, Programming Principles

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Python Fundamentals and Data Science Essentials

      Skills you'll gain: Matplotlib, Data Visualization, Linear Algebra, NumPy, Seaborn, Pandas (Python Package), Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Python Programming, Jupyter, Data Analysis, Data Manipulation, Classification And Regression Tree (CART), Regression Analysis, Data Structures

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Austral

      NLP Modelos y Algoritmos

      Skills you'll gain: Natural Language Processing, PyTorch (Machine Learning Library), Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Deep Learning, Scikit Learn (Machine Learning Library), Python Programming, Jupyter, Machine Learning, Unsupervised Learning, Algorithms, Supervised Learning

      3.7
      Rating, 3.7 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Python: de explorador de datos a analista

      Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Data Analysis, Data Science, Python Programming, Jupyter, Matplotlib, Software Installation, Data Manipulation, Scripting, Package and Software Management, Development Environment

      Mixed · Course · 1 - 3 Months

    • U

      University of Michigan

      Uso de bancos de dados com Python

      Skills you'll gain: SQL, Database Management, Relational Databases, Databases, Database Systems, Database Design, Query Languages, Data Visualization, Web Scraping, Data Processing, Object Oriented Programming (OOP), Data Modeling, Geospatial Mapping, Data Storage, Python Programming, Web Development, Data Collection

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Selenium Techniques and Framework Introduction

      Skills you'll gain: Selenium (Software), Test Automation, Test Case, Software Testing, Application Frameworks, Web Development Tools, Cascading Style Sheets (CSS), Javascript and jQuery, Python Programming, Hypertext Markup Language (HTML)

      Intermediate · Course · 1 - 3 Months

    • E

      EDUCBA

      Developing Secure IoT Applications

      Skills you'll gain: Cloud Security, Internet Of Things, Network Security, Application Security, Security Engineering, Data Security, Cloud Services, Infrastructure Security, Time Series Analysis and Forecasting, Application Development, Encryption, Cryptography, Data Analysis, Identity and Access Management, Data Integrity, Information Privacy, Authentications

      4.9
      Rating, 4.9 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      Decentralized Application (DApp) Development

      Skills you'll gain: Blockchain, Front-End Web Development, Application Development, Web Development, JavaScript Frameworks, Transaction Processing, User Interface (UI), Development Testing, Cryptography, FinTech, Emerging Technologies, HTML and CSS, Software Architecture, Javascript, Application Deployment, Data Management

      5
      Rating, 5 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      DeepLearning.AI

      Improving Accuracy of LLM Applications

      Skills you'll gain: Test Data, Large Language Modeling, Prompt Engineering, Data Quality, Performance Tuning, Generative AI, Query Languages

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Analysis with Python Project

      Skills you'll gain: Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Regression Analysis, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Exploratory Data Analysis, Statistical Methods

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

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

    • Learn Python: 3: Scrimba
    • Statistical Methods: University of Leeds
    • The Power of Object-Oriented Programming: University of Michigan
    • Python Fundamentals and Data Science Essentials: Packt
    • NLP Modelos y Algoritmos: Universidad Austral
    • Python: de explorador de datos a analista: Universidad Nacional Autónoma de México
    • Uso de bancos de dados com Python: University of Michigan
    • Advanced Selenium Techniques and Framework Introduction: Packt
    • Developing Secure IoT Applications: EDUCBA
    • Decentralized Application (DApp) Development: EDUCBA

    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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