Enroll Course: https://www.udemy.com/course/python-datascience-colab/
Are you feeling the pressure of an upcoming Python development project, especially if Python is new to you? Do you wish you could quickly grasp the essentials over a weekend? This Udemy course, ‘파이썬으로 시작하는 데이터 사이언스, Colab으로 배우는 핵심 강의’ (Data Science with Python: Core Lecture Learning with Colab), is designed precisely for those who need practical, project-based experience rather than just lengthy theory.
This course excels at providing a rapid foundation in Python, focusing on the essential libraries like Pandas, Matplotlib, and Seaborn. These tools are crucial for data visualization and analysis, forming the backbone of many machine learning and deep learning projects. The curriculum uses the Boston Marathon big data as a case study, guiding you through transforming raw data into valuable insights using various charts and techniques. It’s presented as a preparatory step for more complex machine learning and deep learning projects.
The instructor emphasizes the importance of solid fundamentals, drawing parallels to how athletes and golfers constantly revisit their basic skills. The course is built on the foundation of a popular 100-minute Python core lecture, updated with current project experiences and student feedback. It’s suitable for those with prior programming experience who are new to Python, as well as complete beginners looking to dive into development.
A significant advantage of this course is its use of Google Colab for most practical exercises. This eliminates the common frustration of setting up a local development environment, allowing students to focus solely on programming from anywhere, anytime. For tasks better suited to a local setup, like GUI development or specific CSV file handling, the course also covers using Visual Studio Code.
For aspiring data scientists, the course covers essential skills such as data manipulation with Pandas – cleaning, processing, and transforming data – and data visualization using Matplotlib and Seaborn. You’ll learn to create 10 fundamental chart types and apply them in a real-world project, analyzing the Boston Marathon data to build both conceptual understanding and practical development skills.
If you’re looking for a concise, practical, and beginner-friendly introduction to Python for data science, this course is a highly recommended starting point. It equips you with the core skills needed to confidently tackle data-driven projects.
Enroll Course: https://www.udemy.com/course/python-datascience-colab/