Data Scientist

1. Pengenalan Data Science dan Bisnis

• Apa itu Data Science?
• Metode dalam Data Science
• Pengetahuan Umum tentang Bisnis pada bidang Marketing, Finance, Sales & Customer Relationship, Operations, Human Resources (HR), Strategic & Executive Perspective

2. Python untuk Data Science

• Pengenalan Python 
• Tipe Data
• Basic Pemograman Python
• Comprehensive Exploration of Global Topics in English 

3. Statistics

• Statistika Deskriptif
• Statistika Inferensia

4. Explanatory Data Analysis & Preprocessing

• Exploratory Data Analysis (EDA)
• Data Visualization
• Data Preprocessing
• Comprehensive Exploration of Global Topics in English

5. Database Technology

• Pengenalan Databases
• Structured Query Language (SQL)

6. Machine Learning

• Pengenalan Machine Learning
  • Supervised, Unsupervised, and Reinforcement Learning
• Machine Learning Pipeline
• Regression Models:
  • Linear Regression
  • Polynomial Regression
  • Ridge & Lasso Regression
  • Elastic Net Regression
• Classification Models:
  • Logistic Regression
  • Decision Tree
  • Support Vector Machine (SVM)
  • Naive Bayes
  • Ensemble Algorithms
• Clustering Model:
  • K-Means Clustering

7. Forecasting

• Pengenalan Forecasting
• Implementasi Metode Forecasting

8. Pengenalan Deep Learning

• Artificial Neural Networks (ANN)
  • Feedforward Neural Network (FNN)
• Recurrent Neural Networks (RNN)
  • Long Short-Term Memory (LSTM)
  • Gated Recurrent Unit (GRU)
• Convolutional Neural Networks (CNN)

• Comprehensive Exploration of Global Topics in English

9. Pengenalan Tools Business Intelligence (BI)

• Pengenalan BI dan Data Storytelling
• BI Dashboards

10. Model Deployment

• Format Penerapan dan Struktur API
• Membangun dan Menerapkan API

11. Final Project

• Project Overview & Briefing
• Timeline & Milestone
• Capstone Presentation

 12. Bonus Class

• Effective English Communication for Analysts, Scientists & Engineers
• English Interview Preparation