66 data use
Data use data, Open API, Python · pandas, BI using data based problem project perform practical work type education with.
0. Purpose and ultimate goal
Data use education of objective learners data and Open API through data · · analysis and, Python, pandas, Power BI, Tableau, Looker Studio, Streamlit using · service · startup with result. · · · of data analysis, API use education, data development course of using project focused with operation.
Referenced professional training patterns
- Data analysis course of data,, Python · SQL · BI tools
- Open API practice course of authentication, URL, JSON/XML,,
- Data of problem, data, · MVP creation
- Startup type education of data based, presentation deck, portfolio
Introductory · 1 Day
Introductory 1 day data use curriculum
Data and data of understanding and analysis result create.
| Category | Details | Practice methods |
|---|---|---|
| Objective 1 | Data of and use procedure understanding. | Public Data Portal, data.go.kr, data, OECD Data, World Bank Data of search · download procedure practice. CSV, XLSX, JSON, XML, Open API,,, data by with compare. |
| Objective 2 | Basic data organization and perform. | Excel or Google Sheets with filter, sorting, pivot table, application using data. ,,,, table with. |
| Objective 3 | Data visualization create. | ,,,, education data using · · map type visualization create. Canva, Looker Studio, PowerPoint using 1 report complete. |
| Platforms | Public Data Portal(data.go.kr), data, Excel 365, Google Sheets, Looker Studio, Canva |
|---|---|
| Instructor profile | Data search ·, spreadsheet analysis, basic data visualization education 2years or more |
| Target learners | Data introductory, · college student, · education operation, startup, data activity |
| Duration | 4-6 hours |
| Materials | , internet, Google account, Excel or Sheets, data file |
| Deliverables | Data table, data, 1 visualization report |
| Assessment method | Data search 25%, organization 25%, visualization 25%, 15%, participation 10% |
Beginner · 3 Days
Beginner 3 days data use curriculum
Data API and spreadsheet · Python basic using analysis assignment perform.
| Category | Details | Practice methods |
|---|---|---|
| Objective 1 | Data API usage. | Public Data Portal API, authentication, URL,, practice. Postman, browser, Google Sheets IMPORTDATA/IMPORTXML with JSON · XML. |
| Objective 2 | Python with data · organize. | Python requests, pandas, json, xmltodict using API data table format with. Jupyter Notebook or Google Colab in,,, perform. |
| Objective 3 | Problem type analysis result create. | Local community by · · · data with comparison table and table create. Looker Studio, Power BI, Tableau Public with creation and analysis writing. |
| Platforms | Public Data Portal API, Postman, Python, pandas, requests, Google Colab, Jupyter Notebook, Looker Studio |
|---|---|
| Instructor profile | Open API use, Python data, pandas, data analysis education 3years or more |
| Target learners | Data analysis beginner, college student, job seeker, · · education project |
| Duration | 12-18 hours |
| Materials | , Google account, Python/Colab, Public Data Portal account, API authentication |
| Deliverables | API, data, analysistable, |
| Assessment method | API understanding 25%, Python 25%, 20%, analysis · visualization 20%, presentation 10% |
Beginner · 1 Week
Beginner 1 week data use curriculum
Data based service and data analysis prototype creation.
| Category | Details | Practice methods |
|---|---|---|
| Objective 1 | Data based problem of perform. | , education,,,, Category in problem and. Data, organization,, quality, data with organize. |
| Objective 2 | Data. | ,, table, based on CSV · API data. Python pandas merge/groupby, Excel Power Query, Google Sheets VLOOKUP/XLOOKUP with course compare. |
| Objective 3 | Prototype and create. | Power BI, Tableau Public, Looker Studio using map, KPI, filter, chart. Problem, data, analysis result,,, improvement plan presentation deck creation. |
| Platforms | Public Data Portal, data, Python pandas, Excel Power Query, Power BI, Tableau Public, Looker Studio |
|---|---|
| Instructor profile | Data analysis, data based problem definition, BI, project 3years or more |
| Target learners | , college student, startupteam, public service, data use education |
| Duration | 20-30 hours |
| Materials | , API authentication, Python/Colab, BI tools account, presentation deck |
| Deliverables | Data, data, data, service |
| Assessment method | Problem definition 20%, data 25%, analysis 25%, 20%, presentation 10% |
Intermediate · 4 Weeks
Intermediate 4 weeks data use curriculum
Data automation and analysis application using practical work project complete.
| Category | Details | Practice methods |
|---|---|---|
| Objective 1 | Data design. | API authentication,,,, with, file saving rules design. Python requests, pandas, schedule, SQLite or PostgreSQL using create. |
| Objective 2 | Analysis table and · analysis perform. | Local community by,,,, data using table table and design. GeoPandas, Folium, QGIS or Tableau/Power BI map with visualization. |
| Objective 3 | Service type result creation. | Analysis result with local community, local community,, service improvement. Notion or Google Docs to data,, analysis course,, · personal information documentation. |
| Platforms | Python, pandas, requests, SQLite/PostgreSQL, Google Colab, GeoPandas/Folium/QGIS, Power BI, Notion |
|---|---|
| Instructor profile | API, Python data, · analysis, data project experience 4years or more |
| Target learners | Data analysis practitioner, public service, ·, advancedteam, development |
| Duration | 40-60 hours |
| Materials | , Python, DB tools, API authentication, data, project document |
| Deliverables | Automation, analysis DB, ·, · service |
| Assessment method | 25%, analysis table 25%, visualization 20%, documentation 20%, presentation 10% |
Advanced · 8 Weeks
Advanced 8 weeks data use curriculum
Data based data or education · project portfolio complete.
| Category | Details | Practice methods |
|---|---|---|
| Objective 1 | Data perform. | Interview, data, understandingrelationship, · · personal information, or operation organize. Data with, API, ERD, table, MVP project design with writing. |
| Objective 2 | Analysis · visualization · service prototype. | Python ETL, PostgreSQL/SQLite, Streamlit or FastAPI, Power BI/Tableau/Looker Studio connect data create. ,, saving, table, map ·, entry filter MVP creation. |
| Objective 3 | Educationmaterials and operation manual creation. | Data introductory · API · Python · practice, data,, assessment rubric creation. Presentation in problem definition, data, analysis, service, operation, plan. |
| Platforms | Public Data Portal API, Python, pandas, FastAPI/Streamlit, PostgreSQL/SQLite, GitHub, Power BI/Tableau/Looker Studio, Notion |
|---|---|
| Instructor profile | Data, API · ETL · DB, · prototype, educationmaterials development 5years or more |
| Target learners | Data instructor course, data, startupteam, development · analysis portfolio |
| Duration | 80-120 hours |
| Materials | , Python/DB development, API authentication, GitHub account, project data, presentation deck tools |
| Deliverables | Data, ETL, DB, / MVP, educationmaterials, operation manual |
| Assessment method | 20%, 25%, MVP 30%, educationmaterials 15%, presentation 10% |