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.
47credentials
139courses

Most popular

Trending now

New releases

Filter by

Skip to search results

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.
Earn career credentials while taking courses that count towards your Master’s degree.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Results for "pandas (python package)"

  • Status: Free Trial

    Google

    Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Python Programming, NumPy, Pandas (Python Package), Data Analysis, Scripting, Data Manipulation, Data Visualization, Algorithms, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    1.7K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview

    The Hong Kong University of Science and Technology

    Skills you'll gain: Statistical Inference, Statistical Methods, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Probability Distribution, Python Programming, Data Visualization

    4.4
    Rating, 4.4 out of 5 stars
    4.5K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    IBM

    Skills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Methods, Statistical Hypothesis Testing, Regression Analysis, Probability & Statistics, Scientific Visualization, Data Science, Matplotlib, Exploratory Data Analysis, Probability, Correlation Analysis, Pandas (Python Package), Jupyter

    4.5
    Rating, 4.5 out of 5 stars
    445 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    Status: Free Trial

    Pearson

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Machine Learning, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview

    Tecnológico de Monterrey

    Skills you'll gain: Pandas (Python Package), Exploratory Data Analysis, Data Visualization Software, Data Manipulation, Data Analysis, Data Transformation, Python Programming, Data Structures, Data Import/Export, Software Installation

    4.4
    Rating, 4.4 out of 5 stars
    20 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview

    Nanjing University

    Skills you'll gain: Data Mining, Data Analysis, Statistical Analysis, Financial Data, Data Presentation, Data Processing, User Interface (UI), Object Oriented Programming (OOP), Pandas (Python Package), NumPy, Python Programming, Web Scraping, Data Manipulation, Matplotlib

    4.7
    Rating, 4.7 out of 5 stars
    1.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial

    University of Michigan

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

    4.5
    Rating, 4.5 out of 5 stars
    27K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    Status: Preview

    Coursera

    Skills you'll gain: Data Integration, Data Import/Export, NumPy, Data Wrangling, Data Manipulation, Pandas (Python Package), Data Pipelines, Data Transformation, Extract, Transform, Load, Data Cleansing

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview

    Simplilearn

    Skills you'll gain: Matplotlib, NumPy, Data Visualization, Python Programming, Pandas (Python Package), Data Analysis, Data Visualization Software, Scripting, Analytics, Data Manipulation, Real Time Data, Data Processing, Programming Principles, Data Transformation, Data Cleansing, Data Validation

    4.8
    Rating, 4.8 out of 5 stars
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

    University of Colorado Boulder

    Skills you'll gain: Matplotlib, Object Oriented Programming (OOP), Plotly, Seaborn, Data Visualization Software, Object Oriented Design, Data Visualization, Pandas (Python Package), NumPy, Statistical Visualization, Interactive Data Visualization, Software Documentation, Scatter Plots, Box Plots, Heat Maps, Data Structures, Maintainability, Programming Principles, Data Import/Export, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    12 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial

    University of Pennsylvania

    Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Data Visualization, Data Science, Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Manipulation, Scatter Plots, NumPy, Data Transformation, Jupyter, Data Validation, Data Import/Export, Histogram, Python Programming, Data Structures, Programming Principles, Scripting Languages

    4.5
    Rating, 4.5 out of 5 stars
    423 reviews

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

Leading partners

  • Packt
  • EDUCBA
  • IBM
  • Duke University
  • University of Colorado Boulder
  • University of Michigan
  • LearnQuest
  • Pearson