This Data Science course is designed for absolute beginners who want to understand the fundamentals of data science and how it is applied in real-world industries. It introduces core concepts such as statistics, probability, data analysis, and machine learning in a simple and structured way.
You will start by learning what data science is and why it is one of the most in-demand fields today. Then, the course explains how data is collected, processed, and analyzed using Python programming. It also covers essential libraries like NumPy and Pandas for data manipulation and data cleaning techniques.
As you progress, you will explore machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering methods. The course also introduces model evaluation techniques and basic deep learning concepts to give you a complete overview of the data science workflow.
By the end of the course, you will understand how data scientists solve real business problems using data-driven decision-making. You will also gain awareness of tools, workflows, and career paths in data science, making it easier to continue learning advanced topics or start working on real projects.
