Pandas (Python Package)

Pandas is a powerful data manipulation and analysis tool built on Python, providing flexible and efficient data structures. Coursera's Pandas catalogue teaches you how to leverage this software library for data manipulation and analysis. You'll learn how to create, manipulate, and visualize data using Pandas DataFrames, effectively utilize Series and Panel data structures, handle missing data, and perform grouping and aggregation operations. In addition, you'll gain insights into merging, reshaping, and pivoting datasets, and enhance your data preprocessing and cleaning skills. This knowledge will be invaluable whether you're a data scientist, machine learning engineer, or a researcher aiming to perform data analysis more efficiently.

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Results for "Pandas (Python Package)"

  • Duke University

    Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, Data Preprocessing, Data Wrangling, NumPy, File I/O, Data Integration, Python Programming, Data Import/Export, Data Analysis, Debugging

    4.3 stars, 16 reviews, Beginner, Course, 1 - 4 Weeks

  • Packt

    Skills you'll gain: Pandas (Python Package), Data Import/Export, Matplotlib, Plot (Graphics), Pivot Tables And Charts, Jupyter, Data Visualization Software, Microsoft Excel, Data Analysis, Spreadsheet Software, Text Mining, Data Wrangling, Data Manipulation, Data Cleansing, Data Presentation, Data Processing, Data Integration, Programming Principles, Graphing, Time Series Analysis and Forecasting

    4.6 stars, 43 reviews, Intermediate, Specialization, 3 - 6 Months

  • Packt

    Skills you'll gain: Pandas (Python Package), Data Wrangling, Data Preprocessing, Data Manipulation, Data Cleansing, Data Transformation, Data Analysis, Code Reusability, Development Environment, Programming Principles, Data Science, Python Programming, Computer Programming Tools, Jupyter, Data Visualization, Software Development Tools, Maintainability, Integrated Development Environments, Package and Software Management, Command-Line Interface

    Intermediate · Course · 1 - 3 Months

  • Meta

    Skills you'll gain: Pandas (Python Package), Data Analysis, Analytics, Exploratory Data Analysis, Data Manipulation, Jupyter, Data Processing, Data Wrangling, Matplotlib, Data Visualization, Programming Principles, Data Cleansing, Data Visualization Software, Python Programming

    4.3 stars, 248 reviews, Beginner, Course, 1 - 3 Months

  • Logical Operations

    Skills you'll gain: Seaborn, Matplotlib, Data Transformation, Plot (Graphics), Pandas (Python Package), Data Manipulation, Data Visualization Software, NumPy, Data Visualization, Data Analysis, Scatter Plots, Data Science, Jupyter, Graphing, Data Processing, Box Plots, Python Programming, Computer Programming, Computer Programming Tools, Software Development

    Mixed · Course · 1 - 4 Weeks

  • Madecraft

    Skills you'll gain: Pandas (Python Package), NumPy, Plot (Graphics), Microsoft Excel, Exploratory Data Analysis, Matplotlib, Jupyter, Data Science, Statistical Visualization, Data Visualization Software, Data Import/Export, Spatial Data Analysis, Data Visualization, Data Wrangling, Data Manipulation, Data Analysis, Seaborn, Python Programming, Data Cleansing, Statistical Hypothesis Testing

    Intermediate · Specialization · 3 - 6 Months

  • EDUCBA

    Skills you'll gain: Pandas (Python Package), Pivot Tables And Charts, Data Manipulation, Data Import/Export, NumPy, Business Reporting, Data Wrangling, Jupyter, Data Visualization, Microsoft Excel, Plot (Graphics), Data Transformation, Data Analysis Software, Data Analysis, Data Cleansing, Data Preprocessing, Analytics, Business Analytics, Data Processing, Python Programming

    4.8 stars, 30 reviews, Beginner, Specialization, 1 - 3 Months

  • Universidad Nacional Autónoma de México

    Skills you'll gain: Exploratory Data Analysis, Matplotlib, Pandas (Python Package), Data Visualization, Extract, Transform, Load, Plot (Graphics), Data Analysis, NumPy, Data Visualization Software, Package and Software Management, Time Series Analysis and Forecasting, Data Science, Analysis, Jupyter, Graphing, Data Wrangling, Software Installation, Python Programming, Computational Thinking, Mac OS

    4 stars, 100 reviews, Beginner, Specialization, 3 - 6 Months

  • Microsoft

    Skills you'll gain: Generative AI, Matplotlib, Data Visualization, Data Literacy, Plotly, Data Ethics, Plot (Graphics), Generative Model Architectures, Scientific Visualization, Data Cleansing, Data Presentation, Interactive Data Visualization, Pandas (Python Package), Data Quality, Exploratory Data Analysis, Generative Adversarial Networks (GANs), Data Manipulation, Model Evaluation, Data Analysis, Machine Learning

    4.2 stars, 126 reviews, Beginner, Course, 1 - 3 Months

  • University of Colorado Boulder

    Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Code Reusability, Data Visualization, Statistical Visualization, Programming Principles, Computer Programming, Data Wrangling, Data Manipulation, Data Science, Package and Software Management, Python Programming, Exploratory Data Analysis, Computational Logic, Software Engineering

    4.7 stars, 315 reviews, Beginner, Specialization, 1 - 3 Months

  • Google

    Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Code Reusability, Data Preprocessing, Data Wrangling, Package and Software Management, Data Analysis, Data Processing, Data Integration, JSON, Object Oriented Programming (OOP), Data Science, Data Structures, Python Programming, Exploratory Data Analysis, Computer Programming, Programming Principles, Data Storage, Computational Logic

    4.7 stars, 197 reviews, Beginner, Specialization, 3 - 6 Months

  • Chegg Skills

    Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Engineering, Data Quality, Descriptive Statistics, Data Manipulation, Data Wrangling, Statistical Analysis, Data Transformation, Package and Software Management, Data Import/Export, Statistics, Data Preprocessing, Data Processing, Data Analysis, Data Validation, Exploratory Data Analysis, Data Pipelines, NumPy, Python Programming

    Beginner · Course · 1 - 4 Weeks