Mastering the Fundamentals Through Real-World Applications and Hands-On Projects in Data Science
Sub Category
- Engineering
{inAds}
Objectives
- Students will learn the end-to-end workflow of data science, from data collection and exploration to analysis and visualization.
- Students will gain proficiency in using Numpy and Pandas to manipulate, transform, and analyze datasets through basic operations and functions.
- Students will learn how to clean, handle missing data, and prepare datasets for analysis using techniques like data transformation and summarization.
- Students will learn to create and customize various types of visualizations (e.g., scatter, line, bar plots) to communicate data insights effectively.
- Students will acquire techniques for efficiently merging, concatenating, and reshaping large datasets, ensuring smooth handling of complex data.
Pre Requisites
- Learners should have a basic understanding of mathematics and statistics, familiarity with programming fundamentals (preferably in Python), and a keen interest in data-driven problem solving.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
{inAds}
Coupon Code(s)