Intro to Data Analysis with Python

Python Libraries for Data Analysis

Immerse yourself in the world of Python’s powerful libraries used for Data Analysis. This course covers the installation and operation of the numpy and pandas libraries. Delve into the practical application of these libraries with special focus on creating and manipulating numpy arrays and pandas dataframes.

Lessons and practices

Examining Rocket Fuel Tanks with NumPy Arrays

Change the Power Grid

Add Spaceship Engines Power Array

Mastering Data Selection Techniques in Real-life Scenario

Selecting Junior Adults from an Age Array

Identifying a Weight Range Using Array Selection

Analyzing Crew Member Heights with NumPy

Calculating Percentage Marks Using a Function with NumPy Arrays

Applying Different Discount Rate to Prices

Converting Celsius to Fahrenheit Using Array of Temperatures

Squaring Alien Number Sequence with NumPy

Creating and Modifying a Pandas DataFrame

Adding a New Column to a DataFrame

Create a DataFrame from a Dictionary

Creating and Modifying a Dataframe from Scratch

Manipulating the Grocery List DataFrame

Adding a New Grocery Item to Our List

Fixing the Grocery List Deletion

Adding a New Item to Our Grocery List

Creating and Modifying a Grocery List DataFrame

Selecting Specific Columns from a DataFrame

Selecting Rows Using Iloc Function

Fixing Rows Selection Error

Locating Person Details with ID using Pandas

Interested in this course? Learn and practice with Cosmo!

Practice is how you turn knowledge into actual skills.