Bentley's Analytics Academy is a week-long pre-college program for rising juniors and seniors in high school and offers a unique opportunity to explore the vast potential of data and gain insights into the world of data sciences. The program's emphasis on creating a fun and positive learning experience ensures that students not only acquire valuable data analytics skills but also enjoy the journey of discovery and exploration.
Courses will be offered on campus in summer 2025 and you can find the course schedule below. Sign up for our mailing list to stay in the know!
course
schedule
Session B: June 16 to June 20
Format:
- Residential
- Commuter
Course:
- Data Analytics 101
Session C: June 23 to June 27
Format:
- Residential
- Commuter
Course:
- Data Analytics 101
Session E: July 7 to July 11
Format:
- Residential
- Commuter
Course:
- Data Analytics 101
Session F: July 14 to July 18
Format:
- Residential
- Commuter
Course:
- Data Analytics 101
The week-long Analytics Academy program will consist of 12 different sessions and topics.
| Name of Session/Topic | What You'll Learn |
|---|---|
| Types of Data | This session introduces you to the the different types of data (numeric vs categorical), highlighting the characteristics of these types of data with examples |
| 5 M's | This session will discuss how numeric and categorical data is described and analyzed, with special focus given to the 5 M's (Minimum, Median, Mode, Mean, and Maximum) |
| Tableau: Working With Data and 5 M's | This session will introduce students to the software, Tableau, which will cover the basics of working with data such as merging data sets and implementing the ideas of the data types and the 5M's introduced in the previous sessions |
| Visualizations | This session introduces basic graphs for working with numeric and categorical data (e.g. bar chart, histogram, boxplot, and scatterplots) |
| Correlation/stats | Students will be introduced to basic statistics concepts such as correlation, variability, and distributions |
| Tableau: Visualizing Data | This session is a workshop where students will learn to implement data visualizations in Tableau |
| Data Pitfalls | This session looks at the common pitfalls when analyzing data such as misunderstanding what type of data we are working with, ignoring missing data, not checking or cleaning the data for user entry mistakes |
| Methods Teaser | This session includes an overview of some high-end tools used in data analysis |
| Data Ethics | This session introduces fundamental concepts around ethical collection and use of data |
| Tableau: Advanced Visualizations | This session covers advanced figures, for example, Sankey diagrams, violin plots, heat maps, or geographic data (e.g. plots on top of maps) |
| Careers in Data Science/ Analytics | Students will get an understanding about the different paths they could take in the data science/analytics field |
| Data Storytelling | This session includes the important of a data story and how to craft a narrative when analyzing data |