DATA SCIENTIST FINANCE Training

FINANCE INDUSTRY- AN OVERVIEW

INTRODUCTION

KEY ROLES AND RESPONSIBILITIES

FINANCE KEY PROCESSES AND METRICS

DATA SCIENCE WORKFLOW

DATA SCIENCE IN FINANCE

DATA SCIENCE PROFESSIONALS’ ROLES.

DESCRIPTIVE ANALYTICS TO DERIVE INSIGHTS FROM DATA

WORKFLOW OPTIMIZATION AND PROCESS IMPROVEMENTS

PREDICTIVE ANALYTICS APPLICATION
IN FINANCE

PREDICTIVE ANALYTICS WITH
ML – CORE CONCEPTS

MACHINE LEARNING APPLICATION IN FINANCE INDUSTRY

CHALLENGES OF DATA SCIENCE IN
FINANCE

LIMITATIONS OF DATA SCIENCE ADAPTATION IN FINANCE

CHALLENGES IN TRANSITION.

DATA SCIENCE USE CASES IN
PRACTICE IN FINANCE

USE CASE 1: CREDIT SCORE ANALYSIS FOR BANKING

USE CASE 2: PERSONAL LOAN DEFAULT PREDICTION – ML CLASSIFIER

USE CASE 3: FINANCE PRODUCT (TERM-LOAN) SALES PREDICTION