Big Data Technology Integrated Training Lab
Introduction
The Lab is mainly for data science and big data technology majors, through 10 core courses 130+ level 3-5 projects, 5 level 1-2 projects advanced training of big data development engineers, big data acquisition and processing engineers, big data analysis and visualization engineers and other positions. To help students effectively practice their ability to deal with and solve complex engineering problems.
Enterprise Positions: big data development engineer, big data acquisition and processing engineer, big data analysis and visualization engineer, etc
Applicable Majors: university data science and big data technology, big data management and application, etc
Course Products: a number of professional basic courses, professional core courses and professional expansion courses for big data architecture, big data analysis and big data application development, such as big data technology architecture, distributed computing framework, etc
Project Products: with the background of the Internet, e-commerce, transportation and other industries, it covers a number of projects to cultivate the ability of big data data collection and processing, data storage, data analysis and visualization.
Application Scenarios: professional teaching, comprehensive practical training, competition training
Feature
Project system advanced
Ten sets of supporting resources, course standards, teaching courseware, instructions, teaching plans, teaching videos, test papers, exercises, experimental environment, material packages, source code, etc.
The Lab is mainly for data science and big data technology majors, through 10 core courses 130+ level 3-5 projects, 5 level 1-2 projects advanced training of big data development engineers, big data acquisition and processing engineers, big data analysis and visualization engineers and other positions. To help students effectively practice their ability to deal with and solve complex engineering problems.
Enterprise Positions: big data development engineer, big data acquisition and processing engineer, big data analysis and visualization engineer, etc
Applicable Majors: university data science and big data technology, big data management and application, etc
Course Products: a number of professional basic courses, professional core courses and professional expansion courses for big data architecture, big data analysis and big data application development, such as big data technology architecture, distributed computing framework, etc
Project Products: with the background of the Internet, e-commerce, transportation and other industries, it covers a number of projects to cultivate the ability of big data data collection and processing, data storage, data analysis and visualization.
Application Scenarios: professional teaching, comprehensive practical training, competition training
Feature
Project system advanced
The five-level project runs through all the core courses of the major, and can cover the teaching of core positions such as big data collection and processing, big data analysis and visualization, and large number development.
Ten sets of supporting resources, course standards, teaching courseware, instructions, teaching plans, teaching videos, test papers, exercises, experimental environment, material packages, source code, etc.