This article is aimed at college teachers who teach data science, big data, artificial intelligence professional courses and related interdisciplinary courses. It provides a resource navigation map. Follow this map to browse and you can get:
- 50,000+ open source cases and nearly 10,000 selected data resources that can be used as teaching materials
- Various training camps, workshops, data science competitions and other practical activities that can be used as teaching expansion
- Regularly updated data science teaching materials package for college teachers
- Embedded with the above resources, out-of-the-box data science teaching-training platform on the cloud (equipped with computing power resources)
- Support for class grinding, support for running competitions, teacher seminars and other rights and interests
Note: The acquisition of the above resources will not incur any fees
First stop: Hejing Community
Hejing Community is a data science learning and practice community built by Hejing for data science pioneers. It has gathered nearly 500,000 data science practitioners and enthusiasts, covering most of the country's key universities, laboratories and research institutions. The community provides a wealth of data science learning resources, application cases, and data resources, and has long cooperated with the government, domestic high-quality enterprises, and institutions to hold events and events to accompany users in learning and growing.
Visit Heywhale Community: Heywhale Community - Heywhale.com
01 Open source project
- Open source projects are shared by Hejing community users, you can search for projects of interest by filtering (programming language, industry, technical field, industry, framework, application, model...);
- After selecting the project, you can read the project content and preliminarily judge the value of the project;
- After confirming that you want to use/modify this project, you can click "Run Online" to directly enter the Notebook programming interface for related operations. (Note: The platform used in this step and other practical steps below is ModelWhale, a cloud data science teaching-training platform under Hejing, which will be described in detail later.)
- Browse open source projects: Heywhale Community - Heywhale.com
02 Data resources
- In addition to individual users in the Whale community, community administrators and organizations that cooperate with Whale will also share high-quality data resources on a regular basis, and you can also filter and search for data resources of interest;
- After selecting a data set, you can view the "Data Overview" to obtain some statistical information of the data set, so as to determine whether it is needed;
- After confirming that you want to use the dataset, you can bookmark it for subsequent recall, or click "Online Analysis", and the platform will automatically create a Notebook with the dataset mounted for you to quickly explore and research on it.
- Browse data resources: Heywhale Community - Heywhale.com
03 Practical activities
- Hejing community will hold new training camps, workshops and other practical activities on a regular basis, and you can recommend suitable activities to invite students to participate in learning;
- The training camp develops curriculum design around the topics of concern in the field of data science and related interdisciplinary subjects, and adopts the "submit answer sheet + automatic evaluation" breakthrough method to facilitate students to learn at any time;
- Workshops are composed of university teachers, enterprise researchers, and industry experts to share current hot research topics and practical directions in academia, enterprises, and industries. Experts will comment and score each assignment;
- The activity synchronously provides a stable cloud development environment required for learning (the analysis framework and required toolkits/libraries have been installed), multi-person collaborative development tools, and eliminates the troubles of setting up and maintaining the environment for students.
- Browse Activities: Heywhale Community - Heywhale.com
04 Data Science Competition
Most of the competitions are initiated by governments, enterprises and various authoritative organizations, and often provide rich bonuses, valuable data, sufficient computing power, and standardized tools. You can lead/invite students to participate.
Browse ongoing contests: Heywhale Community - Heywhale.com
At this point, you should have a general understanding of Hejing Community, and then you can directly visit Hejing Community to explore independently and look for "treasures".
In addition, two more guides are provided for your convenience:
And Whale Community Roaming Guide:
https://www.heywhale.com/docs/community/common/about.html
Hejing community data science practice study guide:
The second stop: the exclusive community for college teachers in the Hejing community
The community is a channel for data distribution and learning communication specially set up by Hejing considering that most of the teachers are busy, and regularly distributes data science teaching materials packages ;
The information package contains new high-quality projects in the community, data sets, information on online teaching sharing sessions, and university service cases of Hejing Technology, which can save you the time of looking up information and facilitate you to understand the teaching philosophy of brother schools and other teachers and teaching methods;
In addition, if you have lessons, competitions, or other practical problems and needs you encounter in the teaching process, the community can be used as a research channel, and Hejing can also provide you with targeted optimization suggestions and solutions.
Learn about the community and information package: Exclusive information package for Hejing college teachers
The third stop: ModelWhale Data Science Teaching - Training Platform
In order to make it easier for teachers and students to better use the resources provided by the Hejing community, the ModelWhale platform's workbench is embedded in the Hejing community.
The ModelWhale data science teaching-training platform integrates data science research tools , classroom teaching and homework management systems , and competition systems . It also connects with Whale community project cases and industry data , which can help teachers carry out data science and artificial intelligence-related course practice.
01 Platform preparation
The community is an entrance to the ModelWhale platform, and all practical activities in the community will jump to the free basic version of the workbench on the ModelWhale platform; but in the teaching scenario, we recommend you to use the ModelWhale teaching version .
Understanding the Differences Between Versions: Version Guidelines
ModelWhale educational version trial process:
- Enter the official website ( ModelWhale.com ), click " Get Started " on the upper right to jump to the pricing page, select the team version
- The trial period of the platform defaults to 15 days, and 20 hours of CPU computing power will be given away for the trial ;
- After 15 days, if you think there is no demand for the teaching version, you can switch back to the free basic version.
02 Course Teaching
The ModelWhale teaching version can support teachers to use Python/R language to complete the whole process of teaching, and it can be used out of the box on the cloud without installing packages;
The whole teaching process includes but is not limited to: course construction, courseware preparation, student management, operation display, homework distribution, after-class tutoring, teaching verification,...
Check out the course demo and follow along: Course demo
03 Competition training
Promoting learning through competition is an important part of practical teaching in colleges and universities.
This platform can provide systematic competition modules to support colleges and teachers to customize and create competitions as teaching practice.
The platform has processed each module of the competition in a streamlined manner, and teachers only need to configure information under each subdivision module to create a competition.
Learn how to run a race with zero foundation: Run a race with zero foundation
For more details about the functions used by the platform, you can click "Help" at the top right of the workbench to view.
ModelWhale Platform User Manual: What is ModelWhale? | User Manual
Based on the new vision of national higher education, Hejing has been helping to promote the reform of education and curriculum in colleges and universities for a long time. Based on the OBE results-oriented education model , it integrates the powerful data science teaching-training platform ModelWhale , the Hejing community with rich practical case resources , and Hejing With many years of competition experience and competition modules , Jingkesai has built the most complete product + resource + service system, which has been applied to the construction of data science-related professional (course) systems in many colleges and universities——assisting Renmin University of China The School of Information built a "new data analysis platform for the integration of interdisciplinary teaching and research", assisted the School of Public Administration of Sichuan University to build a "big data application training system", and assisted the Economic Management Experimental Teaching Center of Jinan University to build a "business big data teaching training platform"... ——Won a wide range of praise from customers from double first-class to ordinary colleges and universities.
Hejing is willing to use the accumulated and precipitated experience and methodology to sort out the needs and pain points with colleges and universities, and to build and improve the data-driven related professional (course) system, so as to bring substantial help to the cultivation of national applied talents. For any related needs, you are welcome to communicate with us.