Database usage online course: China Economic Data·The 6th Data Literacy Series Event is now underway!
Release time: 2024-03-25
Source of the article: Reference Department
Author of the article:
In February 2024, the Cyberspace Administration of China, the Ministry of Education, the Ministry of Industry and Information Technology, and the Ministry of Human Resources and Social Security jointly issued the "Key Points of Improving Digital Literacy and Skills for All in 2024", which clearly pointed out that by the end of 2024, the digital literacy of all people in my country will be The level of digital literacy and skills development must reach a new level, and the digital literacy and skills cultivation system must be more complete. In order to meet the goals and requirements of "Work Points", China Economic Data will continue to launch the sixth series of data literacy activities in 2024.
Since the first launch of data literacy lectures in 2021, China Economic Data has successfully held five data literacy series activities. A total of more than 10,000 people from all walks of life from universities, governments, and enterprises have learned and consolidated knowledge and knowledge related to data literacy through participating in the activities. consciousness. The concept of "data literacy is a must-have good habit for economic research work" is deeply recognized by the majority of users.
In addition to continuing to enrich and improve the lecture content system, this series of activities adheres to the concept of integrating theory with practice and adopts a combination of "series of lectures (lectures)" + "practical exercises (practical)". On the one hand, the 7-lecture series shares data literacy awareness, capabilities and practical analysis cases to help everyone improve their data literacy capabilities as a whole; on the other hand, it provides everyone with a stage for practical exercises by conducting an essay solicitation activity with the theme of "Data Talk".
Arrangement of lecture activities
In order to better help everyone learn knowledge and awareness related to data literacy, this lecture is divided into two parts: "Introductory Learning" and "Advanced Improvement".
In the introductory learning session, three senior lecturers introduced the concept of data literacy and some practical application cases in fields such as statistical data charts and population research from different perspectives. Through the introductory course of study, we can quickly recognize and understand why we need to learn and improve data literacy in scientific research work, and develop good habits in scientific research work.
In the advanced improvement session, the four lecturers focused on the connotation of data literacy for in-depth and detailed introduction; on the other hand, they gave solutions to quickly improve data literacy in daily scientific research work. Through advanced learning, you can gain an in-depth understanding of the main connotations of data literacy and significantly improve the learning efficiency of data literacy.
2024.4.9
Improve literacy, lay foundation, and cultivate good habits early
Training time: April 9, 19:30
Training instructor: Senior statistician Ma Lin
training content:
1. Six connotations, all aspects of data literacy;
2. The basic concepts of data literacy and its practical help in scientific research work.
2024.4.10
The Way of Charts—How to Use Statistical Charts to Visualize Data
Training time: April 10, 19:30
Training instructor: Senior trainer Xue Rongkun
training content:
1. The necessity of visualizing statistical data;
2. How to create standardized graphics and how to improve the effective expression of graphics;
3. Explain the visualization process in the form of cases.
2024.4. 11
Demographic analysis—six characteristics of my country’s aging population
Training time: April 11, 19:30
Training instructor: Ren Hui, senior economist
training content:
1. Basic concepts related to population aging analysis;
2. Six basic characteristics of my country’s population aging.
2024.4. 17
You can find it—A strategy for finding macroeconomic data and avoiding pitfalls
Training time: April 17, 19:30
Training instructor: Qi Xiaoming, senior statistician
training content:
1. Three main ways to search for macroeconomic data;
2. Problems and pitfalls in each search method;
3. The correct way to find data in the database;
4. How to evaluate the data quality of the database.
2024.4.24
Understandable—Make scientific research more effective with half the effort
Training time: 19:30 on April 24
Training instructor: Senior trainer Du Xinyue
training content:
1. What is“understandable”;
2. Why should we“understand”;
3. How to achieve“understanding”.
2024.5. 8
Use it correctly - use accurate numbers, scientific research is stable
Training time: May 8, 19:30
Training instructor: Senior Economist Kou Huijie
training content:
1. The importance of data quality to scientific research results;
2. Common methods for data quality assessment: completeness, consistency, accuracy and timeliness.
2024.5. 15
Speak clearly—three basic points of data reporting
Training time: 19:30 on May 15th
Training instructor: Senior Economist Guo Lu
training content:
1. Reporting framework: Pay attention to the design of the center and structure of the article;
2. Description method: standardized description methods and techniques for time and data;
3. Graphics specifications: common issues that are easily overlooked in the graphics drawing process.
Note: Replays of each lecture will be generated within 14 working days and uploaded to the "China Economic Data Full Site Search - Knowledge & Tools".
Introduction to practical activities
"Putting what you learn into practice, integrating knowledge with action", in order to consolidate what you have learned in the lectures, this series of activities also includes a practical chapter - "Numbers" themed essay collection activity.
The "Data Talking Activity" takes "Data Talking" as the theme, focusing on "economic statistical data", using data to introduce areas of interest or talking about hot economic events, such as high-quality regional development, high-quality population development, etc. Participating in the activity will You will have the opportunity to receive physical rewards, award certificates, priority internships (supported both online and offline), free use of China Economic Data, authorship of articles on the China Economic Data public account, and many other benefits.
This official account will release more details of the data-talking activities in the future. You can click on the business card of the China Economic Data official account at the end of the article to continue to pay attention to relevant information.
