Become an Expert in the

Finance Industry with Python
Enter the finance industry with your Python skills. Join our hybrid learning system.
Register Now
Course Details

Our collaborated partners in Financial Industry

Learning Journey

Course Program and Syllabus

1

INTRODUCTION TO PYTHON

For those of you who don’t understand the Python programming language and want to start from the basics

Register
  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
2

DATA ENGINEERING

For those of you who already understand the Python programming language

Register
  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.
3

MACHINE LEARNING FUNDAMENTALS FOR FINANCE

For those of you who already understand Python and Data Engineering

Register
  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.
4

FRAUD DETECTING USING MACHINE LEARNING

For those of you who already understand Python, Data Engineering, and Machine Learning

Register
  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
5

LOAN APPLICATION RATING

For those of you who already understand Python, Data Engineering, Machine Learning, and Fraud Detecting with Machine Learning

Register
  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

Join Us

Join Class

Intensive Online Class

  • Sudy in hybrid class [Self learning & 3x / week live class with tutor]
  • Study in 1 month and dedicated 10 hours/week
  • Access class anytime, anywhere
  • The material is designed according to the competence of the latest industry.
  • Portfolio Github repository at the end of the class
  • E-Certificate
  • Learning tech skills also domain knowledge
Join Class
Be our partner

Hiring IT Talent

  • Recruit Katalis.App graduates, It's Free!
  • Our candidates have been trained intensively with an up-to-date curriculum.
  • Quick and easy process
  • Measurable Talent Qualifications
  • Access to thousands talent pools
  • Skills and knowledge relevant in tech industry
Hiring Now

Why Study in Katalis.App?

Not Just Watching Records

In 1 week there will be 3x live teaching sessions with mentors, so you can ask questions and compile a portfolio together

Accompanied by Expert Mentors

Expand your network and knowledge of industry best practices with expert mentors and the alumni community.

Graduate with a Ready to Work Portfolio

After graduating, students will have a portfolio in the GitHub Repository that can be used as a portfolio and apply for jobs.

Free to Set Study Schedule

Build consistent study habits for optimal results, with only 10 hours per week. Become an expert in just 1 month

Easy and Practical

Learn more effectively with a Learning Management System that can be accessed anytime and anywhere.

Learning Becomes Exciting and Fun

The materials are specially designed for beginners, using structured learning paths & videos.

Open to all ages

You only need to be fluent in operating a computer to take this class

Who is this class suitable for?

  • You who want to join the Financial Industry
  • Fresh Graduates
  • IT student
  • TKJ Vocational High School students
  • RPL Vocational High School students
  • Network Engineer
  • and anyone who wants to learn about programming

6 Learning Process in Katalis.App

1

Select program
2

Register by contacting the admissions team
3

Set your own study schedule
4

Completing various projects and exercises
5

Sharing feedback with tutors in live teaching sessions 3 times in a week
6

Create an attractive portfolio of mini-projects and final projects that have been worked on Graduation

Ready to become a Financial Engineer?

Start Learning

Need a help?

We're here for you 24/7 to help you choose the best program for you

Talking with Admission team