Summary of Teknik Sampling dan Data Wrangling (A)

Sukolilo | Manyar | Tjokroaminoto
Kampus Institut Teknologi
Sepuluh Nopember Surabaya
Phone: 031-5994251-54, 5947274, 5945472
Fax: 031-5923465, 5947845

SD234304 - Teknik Sampling dan Data Wrangling

Announcements

Supplementary Lecture Note

Section 1

Introduction and SRS

Mendenhall

WILLIAM G. COCHRAN

Section 2

SRS and Stratified Sampling

Estimasi Proporsi

Menentukan jumlah sampel

Section 3

stratified Sampling

Stratified Sampling

pengantar cluster sampling

Section 4

Cluster Sampling 2 tahap

Cluster Sampling satu tahap

Week 5 - Introduction to Data Wrangling &amp; Scraping

Slides - Introduction to Data Wrangling & Scraping

Week 6 - Data Meant to Be Read by Machines

W06 - Data Meant to Be Read by Machines Slides

Teknik Sampling & Data Wrangling - Data Meant to be Read by Machine

Read Data in Python

Week 7 - Data Wrangling process - Data gathering, assessing, cleaning

Data Wrangling process - Data gathering & Discovery Slides

Week 7 - Class interaction

Data gathering: Web Scrapping Exercise - ipynb

Pengumpulan Mini Project

Week 8 - ETS

ETS Part B [30%]

Week 9 - Data Exploration

W09 - Data Wrangling Steps: Data Cleaning

W09 - Basic Data Wrangling

Material Kelas Minggu 9

Week 10-11

W10 - Basic Data Wrangling (2)

W10 - More of Data Wragling (Data Transformation)

W10 - Tugas Studi Kasus 2025: Google Play Store Apps Dataset

Google Play Store Apps Dataset

Week 10-11 Dataset

Week 12-13

Data Transformation & Enrichment

Week 12 ipynb Code

Dataset

Week 13 - Python notebook exercise

Tugas Melengkapi Kode Python Notebook

Week 13

Minggu 14

Code and Data

Data Visualization Materi

Penjelasan Final Project

Week 15 - Interactive Visualization

Interactive Visualization

MInggu 15 - Penjelasan Final Project

Teknik Sampling dan Data Wrangling (A)

Week 5 - Introduction to Data Wrangling & Scraping