To help cultivate cross-disciplinary applied data science talents, Hewhale Technology joins hands with Huawei to release joint solutions

The times are developing rapidly, and the wave of intelligence is coming. With the theme of "Accelerating Industry Intelligence", the 8th Huawei Connect Conference (HUAWEI CONNECT 2023) officially opened on September 20. At this conference, Huawei joined hands with ecological partners to lead the new trend of smart education. Wang Haoyu, chief consultant of Hewhale Technology, was invited to attend the conference and officially announced the release of "Hewhale & Huawei: Data Analysis Modeling Practical Training Solution".

This program effectively combines the practical experience and platform capabilities of Hejing University’s interdisciplinary data talent training with Huawei’s OceanStor 2910 computational storage. It is oriented to students in cross-curricular courses related to data analysis and artificial intelligence in economics, management, social sciences, biomedicine, etc. in various universities. The construction of teaching and subject system , with ModelWhale’s product function design that pays more attention to the cultivation of data thinking, the comprehensive support of Hewhale Community + Hewhale Science and Technology Competition teaching cases and competition training resources, and the one-step hardware support of storage and calculation integration, are more suitable for training . Provide one-stop solutions for applied data science talents that society needs .

Existing issues in cultivating applied data science talents

With the deepening of technological revolution and industrial transformation, data analysis and modeling is gradually becoming a general skill and is no longer exclusive to related majors such as data science and big data technology. For outstanding talents in enterprises and markets, it is no longer enough to simply master data analysis and modeling itself. They must also be able to cross-cut and apply . Market demand is the goal of talent training in various universities. Therefore, how to build a training system for cross-disciplinary applied data science talents has become a hot topic in education and teaching nowadays. However, from theory to practice, colleges and universities still face many problems.

From the perspective of students, the demand side, there are currently two major problems in the training of applied data science talents in various universities:

First, there is a lack of real tools. Currently, the data analysis modeling teaching software or platforms currently on the market and purchased by universities are basically practical training functions derived from the teaching system, and there are relatively large differences in operation and other aspects from the analysis tools in the real world. When students use the school system to complete courses and switch to real tools, they often find it difficult to adapt.

Second, there is a lack of real cases and real scenarios. The knowledge students learn in class and the homework they complete after class can help them pass the exam with high scores, but compared with the data analysis and modeling work in the real world, it is still too pale and too ideal. The lack of real or simulated real cases and scenarios makes it difficult for students to truly master a skill and solve practical problems.

The above two problems are largely detrimental to the cultivation of cross-disciplinary applied talents. Colleges and universities currently need a set of solutions that can help students bridge the gaps in skills, experience, and concepts from school to society , and truly become Applied data science talents needed by the market.

Hejing & Huawei: Data analysis modeling training solution

Based on the above needs, Hewhale Technology joined hands with Huawei to officially release the "Data Analysis Modeling Practical Training Solution".

In recent years, Hewhale has focused on higher education. Based on the new vision of national higher education, with the mission of promoting education reform and curriculum reform in colleges and universities, and based on the OBE results-oriented education model , Hewhale has integrated the powerful data science collaboration platform ModelWhale , which has a wealth of practical cases. The resources of Hejing Community , and Hejing Science and Technology Competition’s many years of competition experience and competition modules , have built the most complete platform products + teaching resources + service system suitable for data analysis and modeling higher education , and have been implemented in many universities. In the construction of relevant professional (course) systems, it has been widely praised by customers from double first-class to ordinary universities.

"Data Analysis Modeling Training Solution" is a new attempt jointly created by Hewhale and Huawei. It mainly implants Hewhale's software capabilities into the hardware facilities of Huawei's OceanStor 2910 computing storage , platform products + teaching resources + service system. In addition, it also provides various universities with hardware support that integrates storage and computing, is extremely easy to use, and is extremely flexible.

How can joint solutions directly address pain points and solve problems?

Regarding the two existing problems in the training of applied data science talents, the "Data Analysis Modeling Practical Training Solution" mainly assists from the following perspectives:

In view of the lack of real tools, Hewhale provides software and Huawei provides hardware : For students, the analysis tools provided by "Solution" can fully simulate real-world data analysis and modeling without packaging. In application scenarios , the analysis skills learned in schools can be consistent with the operational steps in future work, completely eliminating confusion caused by tool changes; for teachers, ModelWhale’s built-in course management module will also greatly liberate them from the functional level . time and energy ; at the same time, the "Solution" eliminates the complicated work of each university purchasing CPU, storage, server, and teaching software separately and assembling and deploying them one by one. It can be done in one step. After the purchase is completed, it can be used directly without operation and maintenance . for teaching .

In response to the lack of real cases and real scenarios, Hewhale Technology focuses on the integration of industry and education, providing rich teaching resources and complete competition services: various universities and college teachers can directly call on the community’s teachers during the teaching process of data analysis and modeling. Real subject data, business data, open source code, and project cases are used as teaching resources, and competition training activities are organized by the community resources + ModelWhale’s built-in competition module. If necessary, Hewhale Competition can also provide a full set of competition services; at the same time, Students can use community content as an extracurricular extension to challenge themselves and improve their academic abilities. If they participate in corporate activities and competitions in the community, they may also have the opportunity to obtain corporate docking opportunities provided by Hewhale and quickly gain social recognition .


Focusing on thinking cultivation, powerful online data analysis tools, a course management model that integrates competition training and actual combat, a large number of reproducible project cases that can be directly integrated into teaching, storage and calculation integration, and one-step hardware support, "He Whale & Huawei: "Data Analysis Modeling Practical Training Solution" is the best practice for cultivating cross-disciplinary applied data science talents , and comprehensively assists the education and teaching work of various universities. For any related needs, you are welcome to enter the ModelWhale official website to register and experience, or click [Contact Product Consultant (Mobile Jump)] to communicate with us.

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Origin blog.csdn.net/ModelWhale/article/details/133351560