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@dylanlimfj
#Program Evaluation Methods
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Step 1: Clearly introduce the learning objective so students know the goal and expectations.
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If you’re using the Titanic, Iris, or COVID-19 dataset for data analytics projects, STOP NOW! These are so boring and over used and scream “newbie”. You can find way more interesting datasets for FREE on public data sites and you can even make your own using ChatGPT or Claude!
Here are the 3 types of projects you need:
↳Exploratory Data Analysis (EDA): Exploring a dataset to uncover insights through descriptive statistics (averages, ranges, distributions) and data visualization, including analyzing relationships between variables
↳Full Stack Data Analytics Project: An end-to-end project that covers the entire data pipeline: wrangling data from a database, cleaning and transforming it. It demonstrates proficiency across multiple tools, not just one.
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FORubrics are supposed to help… but for a lot of students, they just create more overwhelm.
The problem isn’t the rubric—it’s how you’re using it.
Instead of trying to take in everything at once, focus on what actually matters: what a top-level answer looks like.
When you break it down this way, assignments become a lot more manageable—and a lot less stressful.
If you want help applying this to your own assignments, send me a message or check the link in my bio.
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@focusedpathlearning
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Instagram содержит thousands of публикаций под #Program Evaluation Methods, создавая одну из самых ярких визуальных экосистем платформы.
#Program Evaluation Methods — один из самых популярных трендов в Instagram прямо сейчас. С более чем thousands of публикаций в этой категории, создатели вроде @jessramosdata, @mycalltoteach and @tshanditheeducator лидируют со своим вирусным контентом. Просматривайте эти популярные видео анонимно на Pictame.
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