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)"

  • Packt

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

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

  • Logical Operations

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

    Mixed · Course · 1 - 4 Weeks

  • LearnQuest

    From the course: Python Scripting: Files, Inheritance, and Databases·Lesson: Pandas library

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    2.2k views

    Micro Lesson · 3 minutes

  • Microsoft

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

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    14k views

    Micro Lesson · 5 minutes

  • JetBrains

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

    4.9 stars, 193 reviews, Intermediate, Course, 1 - 3 Months

  • IBM

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

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    1.6m views

    Micro Lesson · 4 minutes

  • Madecraft

    Skills you'll gain: Pandas (Python Package), Exploratory Data Analysis, Microsoft Excel, Statistical Visualization, Pivot Tables And Charts, Data Manipulation, Box Plots, Data Visualization, Descriptive Statistics, Data Cleansing, Data Transformation, Feature Engineering, Data Wrangling, Data Import/Export, Data Analysis, Data Integration, Jupyter, Python Programming

    Beginner · Course · 1 - 3 Months

  • Microsoft

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

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    ·

    1.2k views

    Micro Lesson · 5 minutes

  • Coursera

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

    4.5 stars, 20 reviews, Beginner, Course, 1 - 4 Weeks

  • Microsoft

    From the course: Data Analysis and Visualization with Python·Lesson: Using pandas for cleaning and exploration

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    7.1k views

    Micro Lesson · 5 minutes

  • Packt

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

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    110 views

    Micro Lesson · 16 minutes

  • Simplilearn

    From the course: Data Analytics with Python·Lesson: Working with DataFrames and Functions

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    1.8k views

    Micro Lesson · 7 minutes