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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

    • R

      Rice University

      Fundamentals of Computing

      Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Theoretical Computer Science, Independent Thinking, Probability, Computer Programming, Interactive Design, Program Development, Big Data, Python Programming, Data Analysis, Probability & Statistics, Computational Logic

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • E

      EDHEC Business School

      Investment Management with Python and Machine Learning

      Skills you'll gain: Investment Management, Portfolio Management, Text Mining, Asset Management, Network Analysis, Data Visualization Software, Investments, Machine Learning Methods, Unstructured Data, Predictive Modeling, Web Scraping, Financial Management, Machine Learning, Financial Statements, Applied Machine Learning, Financial Market, Financial Modeling, Risk Analysis, Python Programming, Financial Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Machine Learning, Jupyter, Python Programming, Data Manipulation, Data Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.6K reviews

      Intermediate · Specialization · 1 - 3 Months

    • 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

    • U
      D

      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

    • M

      Meta

      Meta Database Engineer

      Skills you'll gain: MySQL, Database Design, Version Control, Database Management Systems, MySQL Workbench, Extract, Transform, Load, Stored Procedure, Data Modeling, Data Structures, SQL, Database Theory, Unix Commands, Relational Databases, Databases, Git (Version Control System), Object Oriented Programming (OOP), Database Management, Database Development, Unit Testing, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.9K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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      M

      Meta

      Meta Back-End Developer

      Skills you'll gain: Django (Web Framework), Full-Stack Web Development, Version Control, Restful API, Data Structures, Unix Commands, Bootstrap (Front-End Framework), Git (Version Control System), Back-End Web Development, GitHub, Web Design and Development, Relational Databases, Front-End Web Development, Object Oriented Programming (OOP), Database Management Systems, SQL, Database Design, Unit Testing, Algorithms, Web Development

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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      U

      Universidad de los Andes

      Programación en Python

      Skills you'll gain: Data Visualization Software, Program Development, Programming Principles, Computational Thinking, Matplotlib, Python Programming, NumPy, Data Import/Export, Computer Programming, Algorithms, Pandas (Python Package), Debugging, Data Manipulation, Integrated Development Environments, Data Structures, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      177 reviews

      Beginner · Course · 1 - 4 Weeks

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      A

      Amazon Web Services

      Python for Serverless Applications and Automation on AWS

      Skills you'll gain: Software Architecture, Amazon Web Services, API Gateway, Amazon DynamoDB, Python Programming, Service Oriented Architecture, Cloud Computing Architecture, Microservices, Serverless Computing, Cloud Applications, Databases, Scripting, Database Systems, NoSQL, Programming Principles, Automation, Relational Databases, Application Development, Development Environment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

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      B

      Board Infinity

      Dive Deep into Python

      Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Python Programming, Programming Principles, File Management, Data Manipulation, Computer Programming, Scripting, Data Transformation

      3.6
      Rating, 3.6 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

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      C

      Coursera Project Network

      Build a Machine Learning Web App with Streamlit and Python

      Skills you'll gain: Machine Learning Algorithms, Dashboard, Interactive Data Visualization, Data Visualization Software, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Web Applications, Predictive Modeling, Classification And Regression Tree (CART), Python Programming, Application Development, Pandas (Python Package)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      403 reviews

      Intermediate · Guided Project · Less Than 2 Hours

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      C

      Coursera Project Network

      Create Your First Python Program From UST

      Skills you'll gain: Python Programming, Command-Line Interface, Computer Programming, Scripting, Program Development, Scripting Languages, Development Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.9K reviews

      Beginner · Guided Project · Less Than 2 Hours

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

    • Fundamentals of Computing: Rice University
    • Investment Management with Python and Machine Learning: EDHEC Business School
    • Mathematics for Machine Learning and Data Science: DeepLearning.AI
    • The Raspberry Pi Platform and Python Programming for the Raspberry Pi: University of California, Irvine
    • Object Oriented Programming in Java: University of California San Diego
    • Meta Database Engineer: Meta
    • Meta Back-End Developer: Meta
    • Programación en Python: Universidad de los Andes
    • Python for Serverless Applications and Automation on AWS: Amazon Web Services
    • Dive Deep into Python: Board Infinity

    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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