Basics of Numpy and Pandas with Titanic Dataset
This entry-level course offers a deep dive into the fundamental functionalities of Python libraries, Numpy and Pandas, applicable to data science. It covers a wide range of topics, from numerical computations to data manipulation using authentic datasets.
Lessons and practices
Python Lambda Functions
Lambda Functions and Dictionaries
Exploring Numpy Array Operations and Attributes
Delving Deeper into Numpy Array Operations: Multiplying Arrays
Spot the Bug and Slice Right Through!
Navigating Numpy Space: Reshape an Array
Navigating through the Nebula of Numpy Arrays
Exploring and Manipulating the Titanic Dataset Using Pandas
Identifying Toddlers in the Titanic Dataset
Identifying Adult Passengers in the Titanic Dataset
Adding the "IsChild" Column: Identifying Young Passengers in the Titanic Dataset
Unveiling the Young Voyagers: Adding a New Column in the Titanic Dataset
Understanding Fare Distribution in Titanic Data using Descriptive Statistics
Descriptive Statistics on Fare Data
Descriptive Statistics on Titanic Fare Data
Computing Descriptive Statistics for Passenger's Age in Titanic Dataset
Unraveling Age Distribution on Titanic with Descriptive Statistics
Extracting and Sorting Male Survivors from the Titanic Dataset
Altering the Filtering Lens on the Titanic Dataset
Repair the Age Sorting Oddity
Sorting the Oldest Survivors from the Titanic Dataset
Sorting Survivors from the Titanic Dataset
Interested in this course? Learn and practice with Cosmo!
Practice is how you turn knowledge into actual skills.