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.
Overview
Syllabus
- Lesson 1: Exploring the Fundamentals of NumPy Arrays in Python
- Examining Rocket Fuel Tanks with NumPy Arrays
- Change the Power Grid
- Add Spaceship Engines Power Array
- Lesson 2: Unpacking Data Selection Techniques in NumPy Arrays
- 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
- Lesson 3: Applying Functions to NumPy Arrays: A Primer
- 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
- Lesson 4: Exploring the World of Pandas DataFrame
- 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
- Lesson 5: Mastering Row Manipulation in Pandas DataFrame
- 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
- Lesson 6: Navigating DataFrames with Index Column and Data Locating in Pandas
- Selecting Specific Columns from a DataFrame
- Selecting Rows Using Iloc Function
- Fixing Rows Selection Error
- Locating Person Details with ID using Pandas
