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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Explore the Python Pandas Course Catalog

  • Status: Free Trial

    Duke University

    Skills you'll gain: Data Visualization Software, Data Visualization, Data Storytelling, Interactive Data Visualization, Plotly, Matplotlib, Dashboard, Seaborn, Tableau Software, Scatter Plots, Histogram, Google Sheets, Microsoft Excel, Data Analysis, Pandas (Python Package), Python Programming, Cloud Applications, Data Manipulation, Business Communication

    4.1
    Rating, 4.1 out of 5 stars
    24 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • Status: Free Trial

    Fractal Analytics

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Visualization, Statistical Analysis, Probability & Statistics, Statistics, Pandas (Python Package), Data Analysis, Jupyter, Data Processing, Data Manipulation, Data Science, Data Transformation, Applied Machine Learning, Data Cleansing, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    74 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial

    Duke University

    Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Data Manipulation, Software Testing, Data Import/Export, Test Automation, Python Programming, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting, Program Development, Numerical Analysis, Application Programming Interface (API), Command-Line Interface

    4.3
    Rating, 4.3 out of 5 stars
    301 reviews

    Intermediate · Course · 1 - 3 Months

  • Coursera Project Network

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

    4.6
    Rating, 4.6 out of 5 stars
    27 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial

    University of Michigan

    Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Statistical Visualization, Jupyter, NumPy, Graph Theory, Natural Language Processing, Python Programming, Data Processing

    4.5
    Rating, 4.5 out of 5 stars
    34K reviews

    Intermediate · Specialization · 3 - 6 Months

  • 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: New
    Status: Free Trial

    Coursera

    Skills you'll gain: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Data Visualization, Statistical Methods, GitHub, Data Manipulation, Statistical Hypothesis Testing, Version Control, Statistical Analysis, Data Science, Interactive Data Visualization, Python Programming, NumPy, Data Analysis, Git (Version Control System), Jupyter, Data Transformation, Programming Principles

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial

    Codio

    Skills you'll gain: Matplotlib, Statistical Hypothesis Testing, Data Analysis, Data Import/Export, Data Cleansing, Probability & Statistics, Data Manipulation, Statistics, Descriptive Statistics, Pandas (Python Package), Data Science, Python Programming, Programming Principles, Scripting, Computational Logic

    Mixed · Course · 1 - 3 Months

  • Coursera Project Network

    Skills you'll gain: Pandas (Python Package), Scatter Plots, Histogram, Data Visualization, Data Manipulation, Data Import/Export, JSON, Data Cleansing, Data Visualization Software, Exploratory Data Analysis, Data Analysis, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    22 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Coursera Project Network

    Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Time Series Analysis and Forecasting, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    18 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial

    University of Illinois Urbana-Champaign

    Skills you'll gain: Jupyter, Matplotlib, Data Visualization, Pandas (Python Package), Data Manipulation, SQL, Data Visualization Software, Seaborn, Data Processing, Data Structures, NumPy, Programming Principles, Business Analysis, Databases, Accounting, Relational Databases, Data Modeling, Python Programming, Descriptive Statistics, Statistical Machine Learning

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    109 reviews

    Intermediate · Course · 1 - 3 Months

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