Data1001
Foundations Of Data Science
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View all Data1001 notesDATA1001 Exam Notes, all topics covered
All topics in the semester are covered Topic 1 - Exploring Data Topic 2 - Design of Experim...
14 pages, 2549 words
DATA1001 Foundations of Data Science Flash Cards topics 1 to 11
All topics from Data Science (DATA1001) covered and turned into flash Cards. Topic 1 - Design of...
37 pages, 3995 words
High Distinction DATA1001/1901 complete notes
I completed the unit recently, so the notes will be up to date and relevant to the current syllabus....
39 pages, 9641 words
DATA1001 Course Summary
A succinct overview of the entire course. Includes all exam relevant information, includes key d...
8 pages, 3505 words
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Reviews
extremely well taught. Straightforward final exam. Diana is the best
Anonymous, Semester 1, 2024
You'll enjoy this unit if you keep up to date with the content and read ALL the material on Canvas cos the final exam is alot harder than the quizzes and assignments imo. Btw Diana is the sweetest lecturer.
Anonymous, Semester 2, 2020
Dianna is an amazing lecturer and will make the whole content quite easy even for non-stat major students.
Anonymous, Semester 1, 2019
This was a very nice lec. understood each and every bit of it. I can perfectly tutor current student to get a distinction. please reach me at: martinessayservices@gmail.com I am an expert writer with over 6 years' experience. I guarantee quality, original content written from scratch and delivered within the shortest time possible. Moreover, I am detail-oriented and will work closely with you to ensure you get a highly customized and well-researched paper.
Anonymous, Semester 1, 2019
I do agree Dianna is a great lecturer. She is engaging, friendly and makes lecture content easy to comprehend. The projects we get are fairly straight forward; you reinforce lecture content by analysing data using R. However, sometimes the marking criteria and the tutor have different expectations. The tutorials were chill as we went through weekly quizzes and refined our R skills.
Anonymous, Semester 1, 2019
Diana warren is a great lecturer! Love the integration of R into learning statistics