Introduction to Text Data Exploration in Python
This introductory course guides you through the initial yet critical steps of any data science project: data exploration. By utilizing Python and specifically pandas, you'll learn to load, inspect, and analyze datasets to gain fundamental insights. These steps are crucial for preparing you for Natural Language Processing explorations.
Lessons and practices
Exploring Data with Pandas
Expanding Data Preview with Python
Spot the Data Loading Bug
Expanding Your Data Preview Skills
Mastering the Basics of Dataset Handling
Exploring SMS Spam Dataset Insights
Fix the Column Reference Error
Extracting Information and Columns from Dataset
Unlocking Insights: SMS Spam Data Exploration
Mastering Pandas with SMS Spam Data
Exploring Missing Values and Types
Identify Missing Values in the SMS Spam Collection Dataset
Understanding Column Data Types
Mastering Data Inspection Essentials
Visualizing Spam and Ham Distribution
Visualizing Class Distribution Correctly
Counting Label to Data Visualization
Visualizing Spam Message Distribution
Interested in this course? Learn and practice with Cosmo!
Practice is how you turn knowledge into actual skills.