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pandas for Data Science (Learning Path) – Real Python

Learning Path ⋅ Skills: pandas, Data Science, Data Visualization

In this learning path, you’ll get started with pandas and get to know the ins and outs of how you can use it to analyze data with Python.

pandas is a game-changer for data science and analytics, particularly if you came to Python because you were searching for something more powerful than Excel and VBA. pandas uses fast, flexible, and expressive data structures designed to make working with relational or labeled data both easy and intuitive.

Learning Path ⋅ 13 Resources

#1

Course

Learn how to start exploring a dataset with pandas and Python. You'll learn how to access specific rows and columns to answer questions about your data. You'll also see how to handle missing values and prepare to visualize your dataset in a Jupyter Notebook.

#2

Course

In this course, you'll get started with pandas DataFrames, which are powerful and widely used two-dimensional data structures. You'll learn how to perform basic operations with data, handle missing values, work with time-series data, and visualize data from a pandas DataFrame.

#3

Course

Learn how to sort data in a pandas DataFrame using the pandas sort functions sort_values() and sort_index(). You'll learn how to sort by one or more columns and by index in ascending or descending order.

#4

Course

Learn how to clean up messy data using pandas and NumPy. You'll become equipped to deal with a range of problems, such as missing values, inconsistent formatting, malformed records, and nonsensical outliers.

#5

Course

Learn about the pandas IO tools API and how you can use it to read and write files. You'll use the pandas read_csv() function to work with CSV files. You'll also cover similar methods for efficiently working with Excel, CSV, JSON, HTML, SQL, pickle, and big data files.

#6

#7

Course

In this course, you'll get to know the basic plotting possibilities that Python provides in the popular data analysis library pandas. You'll learn about the different kinds of plots that pandas offers, how to use them for data exploration, and which types of plots are best for certain use cases.

#8

#9

Course

Learn how to work adeptly with the pandas GroupBy while mastering ways to manipulate, transform, and summarize data. You'll work with real-world datasets and chain GroupBy methods together to get data into an output that suits your needs.

#10

#11

Tutorial

Learn what correlation is and how you can calculate it with Python. You'll use SciPy, NumPy, and pandas correlation methods to calculate three different correlation coefficients. You'll also see how to visualize data, regression lines, and correlation matrices with Matplotlib.

#12

#13

Course

With this course and Python project, you'll build a script to calculate grades for a class using pandas. The script will quickly and accurately calculate grades from a variety of data sources. You'll see examples of loading, merging, and saving data with pandas, as well as plotting some summary statistics.

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