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, Query Languages, Data Transformation, Data Integration, Python Programming, Data Analysis, Debugging

  • Skills you'll gain: Pandas (Python Package), Data Import/Export, Matplotlib, Plot (Graphics), Pivot Tables And Charts, Jupyter, 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, Data Transformation

  • 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

  • From the course: Data Analysis with Python·Lesson: Importing Data Sets

  • From the course: Data Analysis and Visualization with Python·Lesson: pandas: Your data manipulation powerhouse

  • Skills you'll gain: Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Data Manipulation, Data Visualization, Data Presentation, Probability & Statistics, Data Transformation, Analytics, Statistics, Data Visualization Software, Statistical Analysis, Data Cleansing, Advanced Analytics, Time Series Analysis and Forecasting, Correlation Analysis, Python Programming

  • Skills you'll gain: Pandas (Python Package), Plot (Graphics), Exploratory Data Analysis, Microsoft Excel, Statistical Visualization, Pivot Tables And Charts, Data Manipulation, Box Plots, Data Visualization, Descriptive Statistics, Time Series Analysis and Forecasting, Data Cleansing, Spreadsheet Software, Data Transformation, Feature Engineering, Data Wrangling, Data Import/Export, Data Analysis, Data Integration, Python Programming

  • Skills you'll gain: Pandas (Python Package), Version Control, Git (Version Control System), Data Manipulation, Software Development Tools, Development Environment, Data Structures, Python Programming, Microsoft Development Tools, Data Analysis Software, Package and Software Management, Virtual Environment

  • Skills you'll gain: Pandas (Python Package), Exploratory Data Analysis, Data Manipulation, Data Transformation, Data Visualization, Data Wrangling, Pivot Tables And Charts, Data Analysis, Statistical Visualization, Data Import/Export, Data Cleansing, Data Processing, Data Preprocessing, Data Structures, Python Programming, Analysis, Data Management, Integrated Development Environments, Back-End Web Development, Software Development

  • From the course: Python Fundamentals·Lesson: Introduction to NumPy & Pandas

  • From the course: Deep Learning - Computer Vision for Beginners Using PyTorch·Lesson: Optional Learning - Python for Data Science with Pandas

  • University of Illinois Urbana-Champaign

    From the course: Accounting Data Analytics with Python·Lesson: Lesson 4.3: Introduction to Pandas