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.

Filter by

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.
Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Hands-on Learning
Required

Tools
Required

Results for "Pandas (Python Package)"

  • 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

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

  • Skills you'll gain: Pandas (Python Package), NumPy, Plot (Graphics), Microsoft Excel, Exploratory Data Analysis, Matplotlib, Jupyter, Data Science, Statistical Visualization, Data Visualization Software, Data Import/Export, Spatial Data Analysis, Data Visualization, Data Wrangling, Data Manipulation, Data Analysis, Seaborn, Python Programming, Data Cleansing, Statistical Hypothesis Testing

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

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

  • Skills you'll gain: NumPy, Scikit Learn (Machine Learning Library), Object Oriented Programming (OOP), Matplotlib, LLM Application, Machine Learning Methods, Applied Machine Learning, Large Language Modeling, Pandas (Python Package), Statistical Machine Learning, Development Environment, Model Training, Data Analysis, Generative AI, Data Structures, Programming Principles, Prompt Patterns, Python Programming, Prompt Engineering, Unit Testing

  • Universidad Nacional Autónoma de México

    Skills you'll gain: Exploratory Data Analysis, Matplotlib, Pandas (Python Package), Extract, Transform, Load, Plot (Graphics), Data Analysis, NumPy, Data Visualization Software, Package and Software Management, Time Series Analysis and Forecasting, Data Science, Python Programming, Analysis, Jupyter, Graphing, Data Wrangling, Data Processing, Software Installation, Computational Thinking, Mac OS

  • 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

  • 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

  • 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

  • Skills you'll gain: Model Evaluation, Sampling (Statistics), NumPy, Pandas (Python Package), Data Literacy, Feature Engineering, Statistical Visualization, Data Analysis, Predictive Modeling, Analytics, Regression Analysis, Predictive Analytics, Statistics, Analysis, Computational Thinking, Data Science, Business Intelligence, Applied Machine Learning, Data Quality, Machine Learning

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