Introduction to Data Science Fundamentals
Welcome to the Data Science Fundamentals section, your gateway to the exciting world of data-driven decision-making. Whether you're just starting your journey or looking to solidify your foundational knowledge, this section provides the essential building blocks you need to excel in the field of data science.
Data science is a rapidly growing discipline that combines statistics, mathematics, and computer science to extract meaningful insights from data. In today's data-rich world, the ability to analyze, interpret, and visualize data is a critical skill across industries.
By mastering these fundamentals, you'll be equipped to tackle real-world data challenges and make informed decisions based on solid evidence. Whether your goal is to enhance your career, start a new one, or simply satisfy your curiosity, this section lays the groundwork for advanced topics in data science and beyond.
What You'll Learn
In this section, we'll guide you through the fundamental concepts and tools of data science. These topics will provide a solid foundation, allowing you to confidently tackle more advanced subjects as you progress in your data science journey. Here's what you'll cover:
Python Programming for Data Science I
- Python Download & Installation
- Starting Python and commands
- Python Data Structures
- Python functions (methods) and classes
Python Programming for Data Science II
- List and Dictionary comprehension
- File IO
- CSV and JSON Reader-Writer
- Python libraries for Data Science- Pandas, Matplotlib, Seaborn, etc
Introduction to Data Science
- What is Data Science?
- The Data Science Process: Steps from Data Collection to Deployment.
- Applications of Data Science across Industries.