Python for Data Science Essentials
Master fundamental Python programming concepts and essential libraries for effective data manipulation and analysis, laying the groundwork for machine learning applications.
beginner level · 7h · 8 modules
Python Basics: Data Types and Variables
Understand Python's fundamental data types and how to use variables for data storage.
- Introduction to Python Data Types
- Working with Variables
- Basic Data Type Operations
- Practice Data Type and Variable Usage
Control Flow and Logic
Master conditional statements and loops to control program execution.
- Conditional Statements: If, Elif, Else
- Loops: For and While
- Loop Control Statements
- Build a Simple Decision Maker
Functions in Python
Define and use functions to write modular and reusable code.
- Defining and Calling Functions
- Function Arguments and Return Values
- Scope and Lambda Functions
- Create a Reusable Calculator Function
Introduction to NumPy for Numerical Operations
Get started with NumPy for efficient numerical computations and array manipulation.
- NumPy Arrays: Creation and Indexing
- NumPy Array Operations
- Basic NumPy Array Methods
- Perform Array Calculations with NumPy
Introduction to Pandas for Data Manipulation
Begin using Pandas DataFrames and Series for data cleaning and analysis.
- Pandas Series: Creation and Basics
- Pandas DataFrames: Creation and Overview
- Reading Data with Pandas
- Load and Inspect a Dataset with Pandas
Data Analysis with Pandas
Learn essential techniques for selecting, filtering, and analyzing data within Pandas DataFrames.
- Selecting Data: Loc and Iloc
- Filtering DataFrames
- Basic Data Aggregation
- Analyze Sales Data
Build a Data Analysis Pipeline
Follow along with a comprehensive tutorial to perform a complete data analysis task using Python, NumPy, and Pandas.
Predictive Modeling Data Preparation
Prepare a real-world dataset for a machine learning model. This involves cleaning, transforming, and selecting relevant features using the Python libraries learned throughout the course.
