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: Free Trial

    LearnQuest

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Data Analysis, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Data Science, Statistical Hypothesis Testing, Supervised Learning, Statistical Methods, Programming Principles, Data Structures

    3.7
    Rating, 3.7 out of 5 stars
    52 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Matplotlib, Web Scraping, Pivot Tables And Charts, Pandas (Python Package), Data Integration, Statistical Visualization, Data Manipulation, Exploratory Data Analysis, Data Wrangling, Data Visualization, Data Transformation, Data Processing, Data Cleansing, Data Presentation, Plot (Graphics), Data Visualization Software, Statistical Analysis, Seaborn, NumPy, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    33 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial

    Università di Napoli Federico II

    Skills you'll gain: PyTorch (Machine Learning Library), NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Keras (Neural Network Library), Jupyter, Data Manipulation, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Python Programming, Data Science, Scikit Learn (Machine Learning Library)

    4.3
    Rating, 4.3 out of 5 stars
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    IBM

    Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Statistics, Data Visualization, Statistical Methods, Web Scraping, Relational Databases, Stored Procedure, Data Import/Export, Data Science, Programming Principles, Computer Programming Tools, Data Visualization Software, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    74K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial

    Packt

    Skills you'll gain: Matplotlib, Pandas (Python Package), Data Import/Export, Data Visualization Software, Microsoft Excel, NumPy, Time Series Analysis and Forecasting, Jupyter, Data Analysis, Data Manipulation, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    14 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview

    Universidad de los Andes

    Skills you'll gain: Data Visualization Software, Program Development, Programming Principles, Computational Thinking, Matplotlib, Python Programming, NumPy, Algorithms, Data Import/Export, Pandas (Python Package), Debugging, Data Manipulation, Integrated Development Environments, Data Structures, Data Analysis, Object Oriented Programming (OOP)

    4.5
    Rating, 4.5 out of 5 stars
    204 reviews

    Beginner · Course · 1 - 4 Weeks

  • Coursera Project Network

    Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, Data Manipulation, NumPy, Statistical Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    441 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview

    University of Michigan

    Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Statistical Analysis, Jupyter, Data Structures, Data Cleansing, Pivot Tables And Charts, Data Science, Data Analysis, Data Transformation, Exploratory Data Analysis, Python Programming, Probability & Statistics, Data Import/Export, Programming Principles

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Pandas (Python Package), Data Wrangling, NumPy, Data Cleansing, Data Structures, Data Analysis, Data Manipulation, Data Transformation, Data Quality, Exploratory Data Analysis, Statistical Analysis, Data Integration, Programming Principles, Python Programming, Scripting

    4.6
    Rating, 4.6 out of 5 stars
    18 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial

    EDHEC Business School

    Skills you'll gain: Investment Management, Portfolio Management, Asset Management, Risk Analysis, Financial Modeling, Risk Management, Financial Analysis, NumPy, Probability Distribution, Python Programming, Simulations, Pandas (Python Package), Matplotlib, Data Manipulation

    4.8
    Rating, 4.8 out of 5 stars
    1.5K reviews

    Mixed · Course · 1 - 4 Weeks

  • Coursera Project Network

    Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Data Wrangling, NumPy, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    29 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    Status: Free Trial

    EDUCBA

    Skills you'll gain: Seaborn, Data Literacy, Plot (Graphics), Matplotlib, Scatter Plots, Statistical Visualization, Data Presentation, Data Visualization Software, Box Plots, Descriptive Statistics, Exploratory Data Analysis, Statistical Analysis, Pandas (Python Package), NumPy

    Mixed · Course · 1 - 4 Weeks