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

    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 Manipulation, Data Cleansing, Data Presentation, Data Processing, Programming Principles, Graphing, Data Wrangling, Time Series Analysis and Forecasting, Data Transformation

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

  • Madecraft

    Skills you'll gain: NumPy, Matplotlib, Pandas (Python Package), Plot (Graphics), Seaborn, Data Visualization, Jupyter, Data Science, Statistical Visualization, Data Visualization Software, Statistical Analysis, Data Wrangling, Data Manipulation, Data Analysis, Scatter Plots, Exploratory Data Analysis, Statistical Programming, Python Programming, Data Transformation, Data Processing

    Intermediate · Course · 1 - 3 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

  • Microsoft

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

    4.4 stars, 697 reviews, Beginner, Specialization, 3 - 6 Months

  • Coursera

    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

    4.3 stars, 100 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

  • Madecraft

    Skills you'll gain: Pandas (Python Package), Exploratory Data Analysis, Data Manipulation, Spatial Data Analysis, Pivot Tables And Charts, Data Transformation, Data Wrangling, Data Analysis, Feature Engineering, PySpark, Geographic Information Systems, Geospatial Information and Technology, Descriptive Statistics, Spatial Analysis, Data Cleansing, Data Preprocessing, Data Processing, Geostatistics, Big Data, Python Programming

    Intermediate · Course · 1 - 3 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

  • 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 Science, Computer Programming, Data Wrangling, Data Manipulation, Functional Design, Data Science, Package and Software Management, Python Programming, Exploratory Data Analysis, Computational Logic

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

  • 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

  • Madecraft

    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

    Beginner · Course · 1 - 3 Months