Financial Data Analytics on Top of Data Science

Name: Financial Data Analytics on Top of Data Science – CQU Indonesia
Price: 8000000 IDR
Availability: InStock

Course Durations:

2 Days (16 Hours)

Course Level:

All Level

DESCRIPTION

In the rapidly evolving financial landscape, data-driven insights are paramount to staying competitive. The “Financial Data Analytics on Top of Data Science” training program is an advanced course designed for finance professionals looking to enhance their expertise in data analytics within the financial sector. Over the course of two days, participants will learn to apply statistical techniques, machine learning algorithms, and domain-specific knowledge to analyze financial data, optimize portfolios, manage risk, and ensure compliance with regulatory standards. This program combines theoretical knowledge with practical exercises to equip participants with the skills needed to make informed decisions and drive business outcomes.

OBJECTIVE

The primary objectives of this training program are to:

Equip participants with a deep understanding of financial data analysis and its applications.
Teach participants how to perform Exploratory Data Analysis (EDA) specific to finance.
Introduce time series analysis and forecasting methods for financial data.
Enable participants to optimize portfolios and manage financial risks effectively.
Instruct participants on the use of machine learning algorithms for financial applications.
Develop participants’ skills in risk modeling for financial decision-making.
Provide a comprehensive understanding of regulatory compliance and ethical considerations in financial data analysis.

TOPICS WITH RUNDOWN

Day 1: Fundamentals and Core Techniques
Day 2: Advanced Financial Analytics and Compliance

PARTICIPANT

This training program is ideal for:

Finance professionals looking to enhance their data analytics skills.
Data scientists interested in specializing in financial data analysis.
Risk managers, portfolio analysts, and financial advisors seeking to leverage data science in their work.
Professionals involved in financial compliance and regulation who wish to understand the role of data analytics in their field.

INSTRUCTOR

Dr. Jerry Heikal

Dr. Jerry Heikal brings over 20 years of experience in data science, with a focus on the finance industry. His expertise includes:

Predictive Modeling for Business & Risk Improvement.
Quantitative Market Research for Performance Improvement.
Big Data Analytics for Strategic Decision Making.
Business Intelligence for Problem Identification.
Credit Scoring for Risk Support Systems.

Dr. Heikal is a result-oriented leader with a deep understanding of how data science can be applied to solve complex business problems in the financial sector.