Enroll Course: https://www.udemy.com/course/visual-python/
If you’re looking to delve into the world of big data analysis, visualization, machine learning, and statistical testing, the Udemy course ‘빅데이터 분석 시각화 머신 러닝 통계 검정 – Visual Python 활용’ is an excellent choice. This course is designed to establish a solid foundation in data analysis concepts and provides hands-on experience through practical exercises.
The course is structured into five key sections. Starting with an overview of data analysis, it explains the components and necessary skills, differentiating data analysis from machine learning and discussing their roles and evaluation methods. It then introduces the basics of Python programming and essential packages, making it accessible even for non-IT majors, especially with the focus on Visual Python—a user-friendly tool for data analysis.
The core of the course involves applying Visual Python for data processing, visualization, and analysis using popular packages like numpy, pandas, matplotlib, and seaborn. Participants will work with real datasets to perform insightful data analysis. Moving forward, the course explores machine learning, guiding learners through creating models, training, prediction, and evaluation, covering supervised and unsupervised algorithms with scikit-learn.
Finally, the course delves into statistical testing using Visual Python, teaching concepts like probability distributions, descriptive statistics, normality tests, variance tests, T-tests, ANOVA, factor analysis, and regression analysis, utilizing scipy and Statsmodels.
Overall, this course is highly recommended for beginners and professionals alike who want a practical, comprehensive introduction to big data analysis with Python. Its step-by-step approach, combined with practical exercises, makes it a valuable resource for mastering data visualization, machine learning, and statistical testing in an accessible way.
Enroll Course: https://www.udemy.com/course/visual-python/