I have intensive learning 10 sprints during 4 month program including.
- Data Literacy
- Spreadsheets
- SQL Databases
- R Programming
- Python Programming
- Google Data Studio/ Tableau Public
- Business Statistics and Analytics
- Predictive Modeling and Machine Learning
- Google sheet
- Dynamic Query, Convert TH to EN Date, Extract Customer Information , Enriching Our Data with VLOOKUP
- SQL project
- Create 4 Tables, 1x Fact, 4x Dimension, write SQL 3-5 queries analyze data, write 1 subquery/with function
- R programming 1
- Create a Pizza Order Chatbot with at least 8-10 dialogues.
- R programming 2
- Create a rock-paper-scissors game. Allows players to play as many rounds as they want. At the end of the game, sum up WIN, TIE, LOSS.
- Data Transformation
- Analysis 5 question of "nycflights13" data with dplyr in
Rprogramming
- Analysis 5 question of "nycflights13" data with dplyr in
- Data visualization
- Data visualization in 5 chart with
ggplot2function inRprogramming.
- Data visualization in 5 chart with
- Statistic 101
- Build a model, Logistic Train model, Evaluating model, Create a confusion matrix, Model evaluation
- Dashboard (Looker Studio)
- Sale report 2014 - 2017 dataset
- Machine Learning
- Regression technique : Predict "Gold" price.
- Classification technique : Cross Sell Prediction
- Python 1
- Analyzing Data
- Python 2
- Create a rock-paper-scissors game. Allows players to play as many rounds as they want. At the end of the game, sum up WIN, TIE, LOSS.
- Python 3
- Get stock market data from Yahoo Finance API and Try to build simple ML model with sklearn.
- Web Scraping
- IMDB and Spec Phone Database Web Scrapping with
Rprogramming
- IMDB and Spec Phone Database Web Scrapping with