Introduction

The Lab is mainly aimed at the Big Data Technology major, and through eight core courses with 380+ 3-5 level projects and 16 1-2 level projects, it progressively trains talents for positions such as big data collection and processing, big data analysis and visualization, and big data implementation and operation and maintenance. It helps students effectively train their job skills.

Enterprise positions: Big Data Development Engineer, Big Data Collection and Processing Engineer, Big Data Analysis and Visualization Engineer, Big Data Implementation and Operation and Maintenance Engineer, etc.

Applicable majors: Big Data Technology majors in colleges and universities

Course products: Data Collection Technology, Data Processing Technology, Big Data Analysis Technology and Application, Python Data Analysis Technology, Data Mining Application, Data Visualization Technology and Application, Big Data Platform Deployment and Operation and Maintenance, Cloud Computing Technology Foundation

Project products: Big Data Full Stack Technology Comprehensive Practice Project (E-commerce Big Data Statistical Analysis Platform), Big Data Collection and Processing Practice Project (E-commerce Big Data Real-time and Offline Processing System), Big Data Analysis and Visualization Practice Project (E-commerce Operation Analysis and Data Dashboard System), Big Data Implementation and Maintenance Practice Project (E-commerce Big Data Analysis Platform Deployment Based on Spark Technology), Transportation Big Data Technology Comprehensive Practice Project (Transportation Big Data Statistical Analysis Platform), Transportation Big Data Collection and Processing Practice Project (Transportation Travel Big Data Real-time and Offline Processing System), Transportation Big Data Analysis and Visualization Practice Project (Transportation Travel Analysis and Visualization System), Transportation Big Data Implementation and Maintenance Practice Project (Flink Transportation Big Data Platform Deployment), Financial Big Data Comprehensive Practice Project (Financial Big Data Statistical Analysis Platform), Financial Big Data Collection and Processing Practice Project (Financial Big Data Real-time and Offline Processing System), Financial Big Data Analysis and Visualization Practice Project (Financial Credit Analysis and Data Visualization System), Financial Big Data Implementation and Maintenance Practice Project (Hudi Financial Big Data Platform Deployment), Telecommunications Big Data Full Stack Technology Comprehensive Practice (Telecommunications Big Data Statistical Analysis Platform), Telecommunications Big Data Collection and Processing Practice Project, Telecom Big Data Real-time and Offline Processing System, Telecom Big Data Analysis and Visualization Practice Project (Telecom Multi-dimensional Analysis and Data Visualization System), Telecom Big Data Implementation and Operation and Maintenance Practice Project (Kylin Telecom Big Data Platform Deployment)

Applicable scenarios: professional teaching, integrated training, competition training

Integrated design of qualifications, courses, competitions, and certificates

The resource system is integrated with qualifications, courses, competitions, and certificates to meet the requirements of college competitions and student skill improvement.

Fine-tuned supporting resources 

We offer a set of ten supporting resources, including course standards, teaching materials, guidelines, lesson plans, teaching videos, exams, exercises, experiment environments, resource packages, and source code.