Introduction to Data Science with Python

Welcome to the exciting world of data science! This course is designed for college students interested in pursuing undergraduate programs in computer science, offering a comprehensive introduction to the fundamentals of data science using Python.

Time Commitment: 3 – 4 hours per week
Pace: Self-paced
Subject: Computer Science
Course Language: English
Video Transcript: English
Difficulty: Intermediate

In this course, you will delve into the foundational principles of data science, learning how to collect, clean, analyze, and visualize data using Python—a versatile and powerful programming language widely used in data science and analytics. Whether you’re aiming to build a solid foundation in data science or preparing for advanced coursework, this course provides essential skills and knowledge.

Key Topics Covered:

• Python Programming Fundamentals: Master the basics of Python programming necessary for data manipulation and analysis.
• Data Manipulation: Learn techniques to effectively clean, preprocess, and manipulate data for analysis.
• Data Analysis: Explore various statistical and analytical techniques to extract meaningful insights from data.
• Data Visualization: Use libraries like Matplotlib and Seaborn to create impactful visualizations that aid in understanding data.
• Introduction to Machine Learning: Get an overview of machine learning concepts and applications using Python libraries such as scikit-learn.

Throughout the course, you’ll work on hands-on projects and exercises that reinforce your learning and allow you to apply your newly acquired skills in practical scenarios. By the end of this course, you will have a solid understanding of data science principles and proficiency in using Python for data analysis and visualization tasks.