Data Analysis & Processing with Pandas

Gain insights into Pandas' powerful tools for data analysis. Learn about Series, DataFrames, and optimize performance for data operations, filtering, and file uploads in data science and machine learning.

Intermediate

42 Lessons

Certificate of Completion

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

83 Playgrounds

6 Challenges

This course includes

83 Playgrounds

6 Challenges

Course Overview

Pandas is a very popular Python library that provides powerful, flexible and high-performance tools to process data. If you’re looking to get into data science, machine learning, or you just want to brush up on your analytics skills, then look no further. In this course, you’ll learn how to process and analyze data with Pandas. You’ll start out by covering the basic data structures in Pandas: Series and dataframes. In the latter half of the course, you’ll learn how to perform operations on different data...Show More

Course Content

Introduction

Get familiar with creating and manipulating Series and DataFrames in Pandas.

Introduction Fundamental Data Structures in pandas Creating a Series Object Create a Series From a Numpy ndarray and a Scalar Value Manipulating Series Objects

Creating a DataFrame From Arrays and Lists Creating a DataFrame From a Series Creating a DataFrame From a File Quiz

Basic Operations on DataFrames

Get started with indexing, manipulating, and analyzing DataFrames using various pandas methods.

Indexing and Slicing Description Challenge - Overall Description of the Data Challenge Solution Review

Concatenation Grouping Data __ Part 1 Grouping Data __ Part 2 Deletion in a DataFrame Select Data From DataFrame Merging in a DataFrame Challenge - Group by a Single Column and Analyze Challenge Solution Review Sorting a DataFrame Apply Function to a DataFrame Iteration Data in DataFrame Challenge - Find the Most Popular Item Challenge Solution Review Quiz

Other topics

Work your way through managing missing values, exporting data, converting types, and handling duplicates.

Deal with Missing Value Export Data to File Convert DataFrame to a List String Type Challenge - Drop Duplicated Rows on SN Challenge Solution Review Deal With datetime Type Conversion Rename Columns Drop Duplicate Row Quiz

Improve performance

Apply your skills to optimize file loading, reduce memory usage, and speed up operations in Pandas.

Speed up File Loading Reduce Memory Usage Speed up Column Operations Optimized Data Filtering

Course Author

Part of the Python Data Analysis and Visualization Path

Learn Python Data Analysis and Visualization

Gain the ability to analyze and visualize data with Python using an assortment of powerful libraries.

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