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)"

  • 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

  • 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), 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

  • Skills you'll gain: Pandas (Python Package), NumPy, Matplotlib, Plot (Graphics), Microsoft Excel, Exploratory Data Analysis, 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

  • Skills you'll gain: Seaborn, Data Storytelling, Data Visualization, Data Presentation, Data Integration, A/B Testing, Data Import/Export, Statistical Hypothesis Testing, Text Mining, Data-Driven Decision-Making, Git (Version Control System), Matplotlib, Pandas (Python Package), Version Control, GitHub, Social Media Analytics, Statistical Analysis, Exploratory Data Analysis, Jupyter, NumPy

  • Skills you'll gain: Data Visualization, Data Presentation, Generative AI, Version Control, Git (Version Control System), Matplotlib, Exploratory Data Analysis, Data Cleansing, Pandas (Python Package), R Programming, Tidyverse (R Package), Ggplot2, Python Programming, Jupyter, Microsoft Visual Studio, GitHub, Statistical Visualization, Data Storytelling, NumPy, Machine Learning Methods

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

  • Skills you'll gain: Matplotlib, Pandas (Python Package), Plot (Graphics), NumPy, Data Cleansing, Data Structures, Scientific Visualization, Data Visualization Software, Predictive Analytics, Data Visualization, Statistical Visualization, Debugging, Data Presentation, Data Manipulation, Code Reusability, Object Oriented Programming (OOP), Python Programming, Simulations, Predictive Modeling, Data Analysis

  • 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

  • Skills you'll gain: Model Evaluation, Sampling (Statistics), NumPy, Pandas (Python Package), Data Literacy, Feature Engineering, Statistical Visualization, Data Analysis, Predictive Modeling, Analytics, Regression Analysis, Predictive Analytics, Statistics, Analysis, Computational Thinking, Data Science, Business Intelligence, Applied Machine Learning, Data Quality, Machine Learning

  • 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