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CodeSignal

Pandas Basics and DataFrame Manipulation

via CodeSignal

Overview

This course gently introduces you to the world of data manipulation using Pandas, how to load datasets, view their basic characteristics, and perform simple operations. Each code example progressively adds a new skill, aimed at beginners ready to explore data analysis with real-world datasets.

Syllabus

  • Lesson 1: Loading and Viewing Data in Pandas
    • Exploring Grocery Store Data
    • Peek at the Inventory's End
    • Grocery Store Inventory DataFrame
    • Summon the Data: Creating a DataFrame in Pandas
    • Complete the Grocery Store DataFrame
    • Grocery Store Inventory Management
  • Lesson 2: Understanding Your Data
    • Student Math Scores Statistical Summary
    • Exploring the Median of Student Math Scores
    • Calculating Statistics in a DataFrame
    • Creating a DataFrame and Summarizing Statistics in Pandas
  • Lesson 3: Indexing and Selecting Data in Pandas
    • Exploring School Cities in a DataFrame
    • Practicing Integer-based Indexing with iloc[]
    • Data Retrieval Accuracy in School Records
    • Indexing Galactic Academy Data
    • Setting the Index in a DataFrame
  • Lesson 4: Filtering Data in Pandas
    • School Data Filtering: Who's in Sixth Grade?
    • Filtering School Records with Pandas
    • Schools Data Filter Debugging
    • Data Filtering with Multiple Grades
    • Navigating the Stars: Sophomore Achievers
    • Charting the Schools - Data Filtering in Pandas
  • Lesson 5: Basic Data Analysis
    • Average Pet Clinic Visits by Species
    • Sorting Pandas Data by Type in Reverse Order
    • Aggregating and Sorting Pet Care Data
    • Counting Critters in Pet Care Data

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