Course Description

Introduction to Data Science" is designed to provide students with a comprehensive understanding of the core principles of Data Science. Through this course, learners will explore essential topics such as data collection, cleaning, analysis, and visualization. Students will also dive into statistical methods and machine learning algorithms to uncover meaningful insights from data. Hands-on projects with tools like Python, pandas, and matplotlib will reinforce practical skills, while real-world case studies help contextualize data-driven decision-making across various industries. By the end of the course, students will have the ability to work with complex datasets, apply data science techniques, and pursue advanced studies or professional roles in data analysis.

What will I learn?

• Students will learn the core concepts of data science, including data collection, cleaning, exploration, and visualization.
• Students will be able to analyze datasets using statistical methods, uncover patterns, and derive actionable insights from data.
• Students will gain hands-on experience using Python and essential data science libraries such as pandas, NumPy, and matplotlib to manipulate and visualize data.
• Students will learn to implement basic machine learning algorithms for predictive analysis and decision-making based on data.

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