MODULE HANDBOOK Module name Practical of Exploratory Data Analysis Module level, if applicable Bachelor
Code, if applicable SST-208 Subtitle, if applicable -
Courses, if applicable Practical of Exploratory Data Analysis Semester(s) in which the
module is taught 2nd (second) Person responsible for the
module Coordinator of lab. Statistics Study Program
Lecturer Dr. Jaka Nugraha, M.Si.
Mujiati Dwi Kartikasari, S.Si., M.Sc.
Language Bahasa Indonesia
Relation to curriculum Compulsory course in the first year (2nd semester) Bachelor Degree Type of teaching, contact
hours 100 minutes lectures and 180 minutes structured activities per week.
Workload
Total workload is 46.67 hours per semester, which consists of 100 minutes lectures per week for 10 weeks, 180 minutes structured activities per week, in total is 10 weeks per semester, including pre- test and practical work exam.
Credit points 1
Requirements according to the examination regulations
Students have taken Practical of Exploratory Data Analysis course (SST-208) and completed all the practical reports.
Recommended prerequisites Students have taken or are currently taking Exploratory Data Analysis course (SST-206)
Module objectives/intended learning outcomes
After completing this course, the students have ability to:
CO 1. master basic strategies for selecting methods in data exploration CO 2. utilize Ms. Excel, SPSS, Minitab, R, and Tableau software in data exploration
Content
Get to know Ms. Excel Data organization in SPSS Introduction to Minitab
Data management and data visualization in R Basic Statistics and ANOVA Using SPSS Basic Statistics and ANOVA Using Minitab Hypothesis Test for Mean Using R
Data visualization with Tableau Study and examination
requirements and forms of examination
The final mark will be weighted as follows:
No Assessment components Weight (percentage)
1 CO 1 50%
2 CO 2 50%
Media employed White-board, Laptop, LCD Projector
Reading list Practical of Exploratory Data Analysis Handbook
Mapping CO, PLO, and ASIIN’s SSC
ASIIN PLO
E N T H U S I A S T I C
Knowledge a b c d Ability e f
Competency g
h CO1
i j
k CO2
l
