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.
Overview
Syllabus
- Lesson 1: Welcome to the Course
- Python Lambda Functions
- Lambda Functions and Dictionaries
- Lesson 2: Demystifying Numpy Arrays: Understanding Creation and Manipulation
- 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
- Lesson 3: Mastering Pandas - A Deep Dive into DataFrames and Data Manipulation
- 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
- Lesson 4: Unleashing Descriptive Statistics on Titanic Data with Numpy and Pandas
- 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
- Lesson 5: Filtering and Sorting Data with Pandas - Unraveling the Basics
- 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
