Data Science Pre-Master Weekly Practice

This repository contains weekly projects I completed to strengthen my data science fundamentals.

Weekly Project

• Week01_Titanic : Exploring Data Analysis on simplified Titanic dataset.
• Week02_Data_Processing : Practicing with structured data, grouping, and simple modeling.
• Week03_ML_Fundamentals : Practicing regression models, decision trees, and model evaluation.
• Week04_Data_Exploration : Practicing EDA using World Bank SDG data.
• Week05_SQL_Basics : Practicing SQL fundamentals using Mode Analytics.
• Week06_R_Basics : Practicing data transformation and visualization using tidyverse in R
• Week07_SDGs_Basics : Exploring SDG indicators and building a mini project on India's energy trends.
• Week08_Reviews : Reviewing hypothesis testing, data cleaning, and transformation with Python.
• Week09_Supervised_ML : Practicing supervised learning model evaluation, and classification tasks.
• Week10_More_Reviews : Reviewing data wrangling and visualization techniques in Python and R.

Tools Used

• Python, SQL, R
• Jupyter Notebook, Mode
• pandas, seaborn, matplotlib, numpy, sklearn, SciPy
• tidyverse, ggplot2

Notes

• This archive reflects my learning process and may not represent polished or production-ready code.
• The repository will be updated regularly as I continue to work on new projects.

About me

Jason Huang
BSc in Mathematics, NTNU