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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

    • P

      Packt

      Advanced Selenium Techniques and Framework Introduction

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

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Robotic Path Planning and Task Execution

      Skills you'll gain: Robotic Process Automation, Graph Theory, Artificial Intelligence, Algorithms, Data Structures, Computer Vision, Simulations

      Build toward a degree

      4.1
      Rating, 4.1 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Social Media Automation using Python

      Skills you'll gain: Automation, Email Security, Gmail, Python Programming, Software Installation, Scripting, Web Scraping, Data Import/Export, Application Programming Interface (API)

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Elevate Team Productivity with Crew AI

      Skills you'll gain: Workflow Management, Team Management, Artificial Intelligence and Machine Learning (AI/ML), Business Process Automation, Process Design, Artificial Intelligence, Automation, Solution Design, Decision Making, Generative AI, Process Improvement, Content Creation, Business Process Management, Customer Service, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Cómo usar funciones, métodos y bucles en Python desde cero

      Skills you'll gain: Python Programming, Scripting, Data Processing, Data Analysis, Programming Principles, Computer Programming, Object Oriented Programming (OOP)

      Beginner · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      App Dev: Adding User Authentication to your Application - Python

      Skills you'll gain: Cloud Applications, Authentications, Google Cloud Platform, Cloud API, Web Applications, User Accounts

      Intermediate · Project · Less Than 2 Hours

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      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

    • Placeholder
      Status: Free
      Free
      N

      Northeastern University

      Data Analytics Engineering: Probability & Techniques

      Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Pandas (Python Package), Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Statistical Analysis, Data Structures, Data Cleansing, Data Visualization Software, Python Programming

      Build toward a degree

      Mixed · Course · 1 - 4 Weeks

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      M

      Meta

      Clientes de base de datos

      Skills you'll gain: MySQL, Django (Web Framework), Database Development, Database Management, Back-End Web Development, Databases, Database Application, Stored Procedure, SQL, Application Programming Interface (API), Python Programming

      Intermediate · Course · 1 - 4 Weeks

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      L

      L&T EduTech

      CPS Design with ARM Core using MicroPython for Industries

      Skills you'll gain: Embedded Systems, Internet Of Things, Vibrations, Civil Engineering, Electronic Systems, Structural Engineering, Maintenance, Repair, and Facility Services, Wireless Networks, Automation, Environmental Monitoring, System Monitoring, Continuous Monitoring, Computer Programming Tools, Electronic Components, Peripheral Devices

      4.3
      Rating, 4.3 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      C

      Coursera Project Network

      Diabetes Disease Detection with XG-Boost and Neural Networks

      Skills you'll gain: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Applied Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Statistical Analysis, Feature Engineering, Data Manipulation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Beginner · Guided Project · Less Than 2 Hours

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      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

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

    • Advanced Selenium Techniques and Framework Introduction: Packt
    • Robotic Path Planning and Task Execution: University of Colorado Boulder
    • Social Media Automation using Python: Packt
    • Elevate Team Productivity with Crew AI: Coursera Instructor Network
    • Cómo usar funciones, métodos y bucles en Python desde cero: Coursera Project Network
    • App Dev: Adding User Authentication to your Application - Python: Google Cloud
    • Robotic Mapping and Trajectory Generation: University of Colorado Boulder
    • Data Analytics Engineering: Probability & Techniques: Northeastern University
    • Clientes de base de datos: Meta
    • CPS Design with ARM Core using MicroPython for Industries: L&T EduTech

    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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