dqlab

A collection of scripts written to complete DQLab Data Analyst Career Track 📊

This is a repository for storing and sharing data resulting from working on projects and materials in DQLab

A collection of learning outcomes data analysis using Python and SQL, from DQLab.

Membangun sistem prediksi churn pelanggan menggunakan pendekatan ilmiah berbasis data, mulai dari riset pasar, pemrosesan data, pemodelan machine learning, hingga rekomendasi strategis yang dapat langsung diterapkan oleh manajemen bisnis.

This is a repository for storing and sharing data resulting from working on projects and materials in DQLab

DQLab Content Writer Challenge Mini Project SQL : Project ini adalah partisipasi saya dalam megikuti conten tulisan yang diadakan dengan mekanisme yang telah di atur oleh tim DQLAB

A collection of scripts for Digitalent Data Analyst DQLab x Kominfo Professional Academy 📊.

Results of my Data Science course and project by DQLab

Pelatihan Data Analyst Career Track - DQLab yang diselenggarakan oleh Digital Talent Scholarship x Kominfo

Project ini berfokus pada Root Cause Analysis (RCA) untuk mengidentifikasi penurunan performa penjualan serta mendeteksi anomali transaksi (outlier) pada struktur organisasi multi-level yang kompleks

Infrastruktur End to End Project ini memadukan Analisis Tren Waktu (Time Series) menggunakan metode rata-rata bergerak untuk mendeteksi momentum kenaikan penjualan produk target secara beruntun, serta Market Basket Analysis (Data Mining) dengan algoritma Apriori untuk mengidentifikasi perilaku belanja silang (cross-selling) pelanggan.

This is a repository for storing and sharing data resulting from courses in DQLab

Repositori dari modul dan proyek yang ada di DQLab.

End-to-end Python data pipeline for the DQLab Retail Crisis Hackathon 2026. Features 'Rising Star' product detection via moving averages and Market Basket Analysis using the Apriori algorithm. Ranked #51 (Top 100 Finalist).

PROA DTS KOMINFO - DATA ENGINEER

This repo was created as a simulation program to answer questions at the DQLab platform. Created manually using MySQL and there's include answer key as well

Regression Analysis: To determine the effect of candy and cereal consumption on the increasing number of dental visits (with R).

Ini adalah DQLab module

Credit risk analysis: based on the number of family dependents and the duration of the month's loan, classify the credit rating or risk rating using the decision tree method (C50 with R).