Edward Ndiyo
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Edward Ndiyo

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Issue date: October 15, 2026

ID: 565af922-3337-466a-8a8a-8ec6253a6a51

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University of the People

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University of the People is the Education Revolution. It is the first non-profit, tuition-free, American, accredited, online university. UoPeople offers the opportunity to earn high quality degrees that are accessible & affordable!

Type

Webinar

Level

Introductory

Format

Online

Duration

40 minutes

Price

Free

Description

Financial decisions are often easier to make when they are supported by reliable information rather than assumptions. Whether reviewing monthly expenses, tracking savings progress, comparing financial options, or setting future goals, understanding simple financial data can help individuals make more informed decisions in everyday life. This webinar introduces participants to practical ways of interpreting financial information using basic data such as spending summaries, savings progress, percentages, simple charts, and comparisons. Rather than focusing on the fundamentals of budgeting, saving, or investing, the session emphasizes how financial data can be used to monitor progress, recognize patterns, and evaluate financial choices with greater confidence. Using relatable examples from everyday life, participants will explore how simple data can support financial planning regardless of age, profession, income level, or country of residence. The webinar is designed for the University of the People's diverse global community and requires no prior knowledge of finance, investing, or mathematics. Topics Covered: 1. Understanding Financial Data: Reading simple financial summaries, percentages, and spending patterns. 2. Recognizing Financial Trends: Identifying changes in spending and saving habits using basic charts and reports. 3. Comparing Financial Options Using Data: Using simple numerical information to compare everyday financial choices.

Skills

Financial Trend Analysis

Spending Pattern Recognition

Financial Decision-Making

Critical Thinking

Data-Driven Problem-Solving

Data Interpretation