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.