ADEC 7900 Software Tools for Data Analysis

The course provides students with an overview of popular software packages used today for data exploration, analysis and visualization. The first part of the course will offer an overview of the non-programming tools Excel and Tableau. In Excel we will cover basic charts with the emphasis on their use with pivot tables. In Tableau students will be introduced to more advanced data exploration and visualization methods via a variety of advanced charts and dashboards. The second part of the course will cover exploratory data analysis in R. Here students will learn how to write their own code for importing, cleaning and exploring large datasets, as well as how to create, modify and export complex charts and summaries for visual, qualitative and quantitative analysis of the data. The third part of the course will provide an intro to using SQL databases, where students will learn how to create SQL queries to select, filter and manipulate the data.

Course overview

Department
Advancing Studies
School
ADV
Credits
3
Level
Graduate
Offered
Periodically in the Fall

Course evaluations

Response-weighted averages from Boston College’s official course evaluations (Avalanche/Blue).

Course rating
4.35 / 5 · Very Good
99 responses
Instructor rating
4.46 / 5 · Very Good
99 responses
Terms evaluated
8
Most recent: Spring 2026

Scales: overall ratings run from 1 (poor) to 5 (excellent); agreement questions from 1 (strongly disagree) to 5 (strongly agree); weekly effort from 1 (up to 1 hour) to 5 (10 or more hours).

Evaluations by term and instructor
TermInstructorCourse overallInstructor overallWell organizedClear learning objectivesIntellectually challengingHelpful assignmentsApplicable beyond courseAttendance necessaryWeekly effortResponses
Spring 2026Marc Chale4.04.54.04.54.54.84.84.010+ hrs/week4 of 9
Fall 2025Marc Chale4.44.64.74.74.94.64.63.57–9 hrs/week7 of 12
Fall 2025Stefano Parravano4.64.64.84.64.64.84.84.87–9 hrs/week5 of 7
Summer 2025Stefano Parravano4.54.54.64.64.84.64.64.2—8 of 12
Spring 2025Marc Chale3.94.14.34.64.34.04.63.67–9 hrs/week7 of 10
Spring 2025Stefano Parravano4.34.04.04.04.34.34.34.37–9 hrs/week3 of 6
Fall 2024Marc Chale4.44.74.54.84.64.84.74.44–6 hrs/week12 of 15
Fall 2024Stefano Parravano4.94.94.74.74.34.94.94.97–9 hrs/week7 of 15
Summer 2024Stefano Parravano4.34.64.54.34.64.64.33.77–9 hrs/week8 of 11
Spring 2024Marc Chale4.44.34.44.84.34.64.64.74–6 hrs/week8 of 10
Spring 2024Stefano Parravano4.84.84.64.74.84.94.84.9—10 of 13
Fall 2023Arvind Sharma—————————11 of 21
Fall 2023Stefano Parravano—————————9 of 12

Data freshness

Course and evaluation data last updated 2026-10-09. Source details and limitations are documented in Data Sources and Methodology.

Instructors

  • Arvind Sharma
    Fall 2023 · Official rating 4.67/5
  • Marc Chale
    Spring 2026, Fall 2025, Spring 2025, Fall 2024, Spring 2024 · Official rating 4.45/5
  • Stefano Parravano
    Fall 2025, Summer 2025, Spring 2025, Fall 2024, Summer 2024, Spring 2024, Fall 2023 · Official rating 4.43/5