Course Details
| Course Code: |
IT7412 |
|
Course Title:
|
Foundations of Statistical Data Science
|
|
Short Title:
|
FSDS
|
| Course Level:: |
Level 7 |
| Valid From:: |
2025/2026 Sem 1 |
| Assessment Method: |
Achievement |
| Course Aim |
This course aims to provide a solid statistical foundation for data science by equipping students with the techniques and tools required to preprocess raw data, including data wrangling and munging, using Python libraries such as NumPy and Pandas. Students will gain hands-on experience with latest data visualization tools to perform exploratory data analysis (EDA) and derive insights. The course also covers statistical inference, prediction using statistical tests, and the estimation of statistical parameters, culminating in an introduction to time series analysis to prepare students for tackling real-world data-driven challenges.
|
| CILO |
| On Completion of this course, the learner will be able to |
| # |
Learning Outcome Description |
| 1 |
Demonstrate advanced knowledge and understanding of statistical foundations by applying data preprocessing techniques, conducting exploratory analysis, creating visualizations, and identifying patterns to support data-driven decision-making. |
| 2 |
Use a range of approaches to analyze and evaluate predictions using statistical models, assessing certainty in outcomes to develop predictive insights and improve model reliability. |
| No Other Controlled Assessments |
The institute reserves the right to alter the nature and timings of assessment
|
Affiliated Entities
|
| Entity Code |
Entity Title |
Entity Version |
Entity Type |
|
ICT8042
|
Bachelor of Science in Data Analytics
|
1
|
Programme
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