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Main
UQU Programs
Data Science

Data Collection and Preprocessing

DS2301
3 hours English

Data Collection and Preprocessing

Data Collection and Preprocessing
DS1103 Advanced Programming for Data Science
3 hours One requisite
DS1102 Introduction to Data Science
3 hours No requisites
1 Introduction to data collection and preprocessing
2 Data collection
3 Ethical and legal considerations in data collection
4 Exploratory data analysis and visualization
5 Handling missing data
6 Handling duplicate data
7 Handling outliers
8 Data transformation
9 Text data preprocessing
10 Reshaping and tidying data
11 Data scraping (Web scraping + API scraping)
12 Joins and aggregation and handling inconsistency
13 Inferring data and hypothesis testing
14 Causation and counterfactuals
1.1 Mapped to: K1

Identify basic methods and techniques used for data collection, cleaning and wrangling.

Teaching Strategy Lectures Discussions
Assessment Methods Assignments Exam and quizzes Class discussions
1.2 Mapped to: K1

Discuss ethical and social considerations of data collection.

Teaching Strategy Lectures Discussions
Assessment Methods Assignments Exam and quizzes Class discussions
2.1 Mapped to: S4

Collect, manipulate and wrangle data.

Teaching Strategy Lectures Discussions Labs
Assessment Methods Assignments Exam and quizzes Class discussions
2.2 Mapped to: S4

Inferring new data from existing data.

Teaching Strategy Lectures Discussions Labs
Assessment Methods Assignments Exam and quizzes Class discussions
3.1 Mapped to: V2

Demonstrate ethical considerations of data collection.

Teaching Strategy Lectures Discussions Labs
Assessment Methods Assignments Class discussions
3.2 Mapped to: V3

Enhance teamwork and leadership skills by working in groups to achieve the solutions to addressed exercises/projects.

Teaching Strategy Lectures Discussions Labs
Assessment Methods Assignments Class discussions
3.3 Mapped to: V3

Demonstrate self-learning abilities to acquire new methods and techniques to deal with data

Teaching Strategy Lectures Discussions Labs
Assessment Methods Assignments Class discussions
Assessment
Weight
Quizzes
10%
Midterm Exam
20%
Group Project
30%
Final Exam
40%
Total
100%