yhkim771068

This introductory course, designed to be the easiest and most practical for Python beginners, covers intuitive dashboards using Streamlit, Google Cloud Platform for deployment, and more. Additionally, you can also prepare for the 빅데이터 분석기사 practical exam.

j2hoon856466

배움이 더 쉬워지는 9월의 할인

Creating Dashboards Using Python Streamlit (feat. Preparing for Big Data Analytics Engineer Practical Exam)

Thank you for your kind feedback on my poor lecture.

데이터시각화

streamlit

실습 중심

실습코드

입문

초급

중급이상

파이썬

Python

사이킷런

Scikit-Learn

판다스

Pandas

Web Crawling

Course Introduction


Step 1: Python Development Environment Setup


Step 2: Python Basic Syntax


Step 3: Data Wrangling - pandas


Step 4: Data Visualization - matplotlib, seaborn, and plotly


Step 5: Learning Basic Streamlit Syntax


Step 6: Basic Python Machine Learning Example (Scikit-Learn)


Step 7: Processing and Visualizing Geospatial Data (GeoPandas)


Step 8: API Crawling & Web Crawling


Step 9: Streamlit Practical Project Examples


Step 10: Deploying the Streamlit Dashboard


Step 11: Deployment Using Google Cloud and Github Actions


(Bonus) Portfolio Preparation for Job Seekers


(Bonus - Streamlit)


Bonus Lecture: Big Data Analytics Professional Practice - Task 1 Type (Restoration of Past Exam Question Types)


Bonus Lecture: Big Data Analytics Professional Practice - Type 2 (Restoration of Past Exam Question Types)


Bonus Lecture: Big Data Analysis Specialist Practical Exam - Type 3 (Restored Past Exam Types)


(Bonus - Excel)


Preparing for an SQL lecture.


Guitar
