College application research evidence · understanding and original contribution · Seoul and online
Project courseThe student keeps the work and the record they made.
Economics Data Science Portfolio
Grades 6-8: prices and exchange rates across countries...
- Free consultation and level check
- Apgujeong classroom or online
- One-to-one or small group
- Registered academy no. 11882
Is Economics Data Science Portfolio a good fit for middle school students in Grades 6-8?
Economics Data Science Portfolio is a good fit for students in grades 6-8 who are interested in prices and exchange rates across countries and economic data analysis in Python. CIT offers online or in-person lessons in Apgujeong, Gangnam, Seoul, in one-to-one or small-group formats. Students make economic indicator analyses with graphs, a presentation on a self-chosen question, and a GitHub repository and Notion portfolio.
Students in Grades 6-8 learn Python variables, conditionals, loops, functions, lists, and dictionaries through economic numbers such as prices across countries, exchange rates, compound interest, and a household budget. They then load an economic indicator CSV of their choice into a DataFrame, clean missing and extreme values, and analyze it with graphs, correlation, linear regression, and classification. The course ends with a presentation on a self-chosen economic question, backed by graphs and stated limits, with the code in a GitHub repository and the projects in a Notion portfolio. The student sets their own question, then designs and tests a feature, model, interface, or solution of their own. In an application or interview, the student separates the material they drew on from their own decisions, results, failed attempts, revisions, and limits.
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I appreciated that a simple early idea was extended into an 'AI debate tool'. My child has always been interested in debate and social issues, so seeing that interest connect to the project makes me expect a more complete and distinctive result.
- Age group
- Grades 6-8
- Academic subject
- Economics & Business, AI & Data, Research & PortfolioBrowse subject
- Course type
- Course
- Format
- Online or Apgujeong in person · one-to-one or small group
- Teaching language
- Korean by default, with complete English materials
- Curriculum status
- Learning studioA structured learning studio with goals, deliverables, and follow-up work is available. Tutors confirm supporting materials before delivery.
From open research to student-owned work
Students inspect a relevant public source, reproduce the idea, then add an original question, feature, or test. Every source is public, and each lesson names the exact page it opens.
How can I explain this course to my child?
If questions about prices and exchange rates across countries or economic data analysis in Python keep making you ask why, Economics Data Science Portfolio lets you investigate the question with evidence, then build and defend an extension of your own.
Which interests suggest this course?
- prices and exchange rates across countries
- economic data analysis in Python
- correlation versus causation
What does the student finish?Economic indicator analyses with graphs, a presentation on a self-chosen question, and a GitHub repository and Notion portfolio.
Is this a good fit?
A strong fit for students considering economics, business, finance, entrepreneurship, policy, or product management.
Beginners can use guided templates.
Comfort with ratios, tables, or simple graphs is helpful.
Students should be ready to revise work after feedback.
What will my child learn?
- Use Python conditionals, loops, functions, lists, and dictionaries on economic examples.
- Select the rows and columns needed from a CSV file and handle missing and extreme values.
- Read the relationship between two indicators with scatter plots and correlation, and explain why correlation is not causation.
- Check regression and classification models on separate training and test data and read error patterns in a confusion matrix.
How does the course progress?
- 1Python Basics Through Economic Numbers
Variables, conditionals, loops, functions, lists, and dictionaries, practiced with prices, exchange rates, interest, and a household budget.
- 2Data Science: Analyzing Economic Indicators
Filter and clean economic indicator data, then analyze it with graphs, correlation, linear regression, classification, and confusion matrices.
- 3Economic Data Project: From Question to Presentation
Choose a question data can answer and its sources, then present each claim with a supporting graph and its limits.
- 4GitHub and Notion Portfolio
Upload analysis code and results to a GitHub repository and gather the projects into a Notion portfolio.
What counts as useful evidence?
Economic indicator analyses with graphs, a presentation on a self-chosen question, and a GitHub repository and Notion portfolio.
What should an admissions reader be able to see?
The student sets their own question, then designs and tests a feature, model, interface, or solution of their own. In an application or interview, the student separates the material they drew on from their own decisions, results, failed attempts, revisions, and limits.
Useful evidence may include a market analysis, policy model, data product, decision memo, or tested business idea. Claims should stay tied to the evidence.
The evidence an application reads is what the student understood, completed, and can explain.
Questions parents search before choosing this course
Is Economics Data Science Portfolio a good fit for middle school students in Grades 6-8?
Economics Data Science Portfolio is a good fit for students in grades 6-8 who are interested in prices and exchange rates across countries and economic data analysis in Python. CIT offers online or in-person lessons in Apgujeong, Gangnam, Seoul, in one-to-one or small-group formats. Students make economic indicator analyses with graphs, a presentation on a self-chosen question, and a GitHub repository and Notion portfolio.
Can my child take Economics Data Science Portfolio online or in person, one-to-one or in a small group?
Yes. CIT offers online and in-person lessons at its Apgujeong academy in Gangnam, Seoul, with one-to-one and small-group options. A readiness consultation confirms the available format and starting point for the course.
Does my child need prior subject knowledge or coding experience for Economics Data Science Portfolio?
Beginners can use guided templates. Comfort with ratios, tables, or simple graphs is helpful. Students should be ready to revise work after feedback.
What will my child make or practice in Economics Data Science Portfolio?
The main evidence is economic indicator analyses with graphs, a presentation on a self-chosen question, and a GitHub repository and Notion portfolio. Students also document decisions, tests, feedback, and limits in age-appropriate language.
How can a student describe work from Economics Data Science Portfolio in a college application?
The student sets their own question, then designs and tests a feature, model, interface, or solution of their own. In an application or interview, the student separates the material they drew on from their own decisions, results, failed attempts, revisions, and limits. Useful evidence may include a market analysis, policy model, data product, decision memo, or tested business idea. Claims should stay tied to the evidence.
How are the schedule and tuition for Economics Data Science Portfolio determined?
CIT confirms the student's readiness, goal, location, class size, and current availability before recommending a course plan. The consultation and level check are free; tuition is explained before enrollment.
When should a student start?
There is no fixed intake month. CIT reviews the student's current school term, readiness, and available hours, then names the point in the course where they should begin.
The teachers are always attentive and considerate, so we feel comfortable trusting them with our child.
Where else parents check CIT
Choose the course after a readiness check
CIT can compare this course with nearby options by age, subject, and current preparation.