New England College

The "Introduction to SQL for Data Analytics" course has been a valuable learning experience that provided me with a strong foundation in one of the most critical tools for data analysis: Structured Query Language (SQL). Below, I’ve outlined my thoughts on various aspects of the course, including its quality, workload, classroom discipline, attendance requirements, the professor's teaching style, and my general evaluation. This course is exceptional in its structure and content delivery. The syllabus is thoughtfully designed to cater to both beginners and those with some prior exposure to SQL. The material starts with basic concepts, such as SELECT statements and filtering data, and gradually builds up to advanced topics like JOINs, subqueries, and window functions. What stood out the most was the balance between theory and practical application. The class emphasized real-world scenarios, allowing students to understand how SQL is used in data analytics projects. The incorporation of hands-on exercises and case studies was a highlight. Instead of merely focusing on syntax, the course pushed us to think critically about how to design efficient queries and extract insights from data. This practical focus made the class engaging and directly relevant to my career aspirations in data analytics. The "Introduction to SQL for Data Analytics" course is a must-take for anyone interested in building a career in data analytics or related fields. It combines theoretical depth with practical application in a way that few courses manage to achieve. The professor’s teaching style, coupled with the well-organized curriculum, makes this class an enriching experience for students at any level of expertise. I would highly recommend it to anyone looking to strengthen their data analysis skills and prepare for real-world challenges in the field of analytics.

easy assignment, ChatGPT is ok, full score as long as you completed it.

easy assignment, low load, can use ChatGPT for assignment. Almost all full score of assignment

Some reading every week, homework is reasonable load

The videos are straightforward, the amount of homework is about right. I do learn a lot from the course.

Lots of reading (2 textbooks for this course) and they are not fun to read (dry content). Discussion posts (25%) every week and writing assignments (20%) almost every week. Grading is very strict - must meet the grading rubric criteria in order to score. For example, you won't earn full points on discussion if you do not 'advance the conversation' by asking a question or offering a counter argument. The instructor is also very strict on citation format (since this is a writing course). The instructor does provide grading feedback for each assignment so you know where you can improve. There are a few multi-choice quizzes (15 %) and they are pretty easy.

Reading assignments are not too heavy. The textbook is not boring to read, and the instructor provided some online videos that kind of summarize that week's assigned reading. Discussion posts (1/3 of course grade) every week and a writing assignment (1/3 of course grade) every other week (approximately). Grading is fair (i.e., not too strict), and the instructor will provide detailed feedback for each assignment so that you address any issues.

All assignments for this course are group assignments, and you cannot form teams freely. The workload is heavy, and it's common for two people to complete the work of four people because there're always two people who are not doing anything. The teacher's requirements are very strict, and the grading is particularly harsh, however the instructions are not very clear. Sometimes you might need to resubmit to get a better score.

This course has relatively little homework, the homework instructions are very clear, and the tutorial videos are also worth watching. You can learn a lot from it.