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Tingkatkan skill kamu sekarang dengan program belajar khusus untuk kamu yang ingin terjun lansung dalam industri Finance. Bergabung dengan Sistem Hybrid pembelajaran kami.

Mitra industri finansial yang telah bekerja sama dengan kami

Learning Journey

Kursus Program dan Silabus

INTRODUCTION TO PYTHON

Untuk kamu yang belum memahami bahasa pemrograman Python dan mulai dari dasar

  1. Get Started with Python
  2. Python Data Types
  3. Python Operators
  4. Python Control Flows
  5. Python Function
  6. Python Error Handling
  7. Python File Handling
  8. Python Modules and Libraries

DATA ENGINEERING

Untuk kamu yang sudah memahami bahasa pemrograman Python

  1. Introduction to Data Engineering and Pentaho: This module provides a foundational understanding of data engineering principles and introduces the Pentaho platform for data integration and processing.
  2. Data Ingestion and Integration: Explore diverse data sources and learn how to seamlessly integrate them using Pentaho, enabling effective data flow across systems.
  3. Data Cleaning and Data Transformation: Discover techniques for improving data quality and transforming information for analysis, utilizing both Pentaho and Python to enhance data integrity.
  4. Data Processing: Delve into the world of data processing, orchestrating workflows and utilizing Pentaho alongside Python to create efficient pipelines for complex data operations.

MACHINE LEARNING FUNDAMENTALS FOR FINANCE

Untuk kamu yang sudah memahami Python dan Data Engineering

  1. Introduction to Machine Learning: This subcourse covers the fundamentals of Machine Learning, an approach where algorithms enable systems to learn from data and improve their performance over time.
  2. Types of Machine Learning: This segment provides an introduction to three fundamental paradigms: Supervised Learning, Unsupervised Learning, and Semi-Supervised Learning.

FRAUD DETECTING USING MACHINE LEARNING

Untuk kamu yang sudah memahami Python, Data Engineering, dan Machine Learning

  1. Introduction to Fraud Detection
  2. Data Pre-Processing: Reducing Memory Dataset; Merging Dataframes; Defining Variable; Data Cleaning; Data Transformation; Handling Imbalanced Dataset
  3. Building Machine Learning Model
  4. Evaluate Machine Learning Model: Confusion Matrix; Accuracy, Precision, Recall, F1 Score; AUC ROC Score; Code Example
  5. Hyperparameter Tuning Model

LOAN APPLICATION RATING

Untuk kamu yang sudah memahami Python, Data Engineering, Machine Learning, dan Fraud Detecting dengan Machine Learning.

  1. Introduction to Loan Application Rating
  2. Data Pre-Processing & Feature Selection : Load Dataset; Defining Variable; Data Cleaning; Data Transformation; Feature Selection
  3. Building Machine Learning Model
  4. Evaluate Machine Learning Model : Precision, Accuracy, Recall, F1 Score, ROC AUC Score; Confusion Matrix
  5. Hyperparameter Tuning Model

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Intensive Online Class

  • Belajar di kelas hybrid [Self learning & 3x / minggu live class bersama tutor]
  • Belajar efektif dalam 1 bulan dan durasi 10 jam / minggu
  • Bebas belajar kapanpun dimanapun
  • Materi dirancang sesuai dengan kompetensi di industri terkini.
  • Portofolio Github repository di akhir kelas
  • E-Certificate setelah selesai kelas
  • Tidak hanya belajar tech skill tapi juga domain knowledge

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  • Semua kandidat telah dilatih secara intensif dengan kurikulum yang up-to-date.
  • Quick and easy process
  • Measurable Talent Qualifications
  • Access to thousands talent pools
  • Skills and knowledge relevant in tech industry

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