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)"

  • Status: New

    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

  • 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 Access, Data Manipulation, Data Cleansing, Data Presentation, Data Processing, Data Integration, Programming Principles, Time Series Analysis and Forecasting

    4.6
    Rating, 4.6 out of 5 stars
    43 reviews

    Intermediate · Specialization · 3 - 6 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
    Rating, 4 out of 5 stars
    100 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New

    Microsoft

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

    4.5
    Rating, 4.5 out of 5 stars
    662 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New

    Corporate Finance Institute

    Skills you'll gain: Data Visualization, Portfolio Management, Portfolio Risk, Statistical Visualization, Plot (Graphics), Return On Investment, Market Data, Investment Management, Financial Modeling, Scatter Plots, Decision Making, Performance Measurement, Performance Analysis, Financial Market, Financial Analysis, Pandas (Python Package), Investments, Resource Allocation, Descriptive Analytics, Simulation and Simulation Software

    Intermediate · Course · 1 - 4 Weeks

  • EDUCBA

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

    4.8
    Rating, 4.8 out of 5 stars
    30 reviews

    Beginner · Specialization · 1 - 3 Months

  • 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
    Rating, 4.3 out of 5 stars
    16 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New

    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
    Rating, 4.3 out of 5 stars
    93 reviews

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

    4.7
    Rating, 4.7 out of 5 stars
    315 reviews

    Beginner · Specialization · 1 - 3 Months

  • Logical Operations

    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

    Intermediate · Specialization · 1 - 3 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

    4.3
    Rating, 4.3 out of 5 stars
    119 reviews

    Beginner · Course · 1 - 3 Months

  • Duke University

    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

    4
    Rating, 4 out of 5 stars
    107 reviews

    Beginner · Specialization · 3 - 6 Months