Programme

Financial Modeling Assessment Analysis

Financial modeling, assessment and analysis for confident, evidence-based decisions.

Business Intelligence & Analytics Lab (BIAL)

Program Overview

(Highly Recommended Certification Course Boosting the Employment Creation!!)

Financial Modeling is the process in which financial aspects are represented through designed models and mathematical tools for predicting the financial portfolios and assets of a business. The financial model basically performs calculations and gives recommendations based on the financial information given.

Financial modelling assessment helps recruiters and hiring managers to assess the ability of job applicants for using SAS/Python/R-Programming for financial modelling. Financial modeling assessment is created and validated by subject matter experts to assess & hire financial modeling expert as per the industry standards.

This Financial Modeling Course is useful for hiring as on following profile….

Financial Modeling Analyst

Financial Modelling Consultant

Financial Modeling Specialist

Finance Research Manager

Financial Modelling Assessment Analyst — Decisiontree Endeavour

Why this programme

Programme highlights

A BIAL Employment Augmentation Learning Programme (EALP), recognized by the corporate sector.

Three semesters (1½ Year) of weekend / after-hours classes — no career break.

Emphasis on Experiential Learning including Case Studies, Simulations, spyder-jupyter labs, Group Assignments, etc.

The Dissertation (Project Work) in the final semester enables students to apply concepts and techniques learnt during the programme.

Participants who successfully complete the programme will become members of an elite & global community of DECISIONTREE ENDEAVOUR Alumni.

Option to submit fee using easy-Semester wise with 0% interest. Enroll with only INR 800/- & Course Fees: 12500/- Per Semester.

Is it for you?

Who this course is for

This course is geared towards the following:

Financial analysts who want to harness the power of Data science and AI to optimize business processes, maximize revenue, reduce costs.

Python programmer beginners and data scientists wanting to gain a fundamental understanding of Python and Data Science applications in Finance/Banking sectors.

Investment bankers and financial analysts wanting to advance their careers, build their data science portfolio, and gain real-world practical experience.

Are there any course requirements or prerequisites?

No prior experience is required. We will start from the very basics
You’ll need to install Anaconda and Python. We will show you how to do that step by step.

Curriculum outcomes

What you’ll learn

Signing up for the course today could be a great step towards your career in professional Journey. Make sure that you take full advantage of this amazing opportunity!

See you on the inside!

Master Python 3 for Data Science & ML in finance.

Apply Python to portfolio returns, risk & Sharpe ratio.

Grasp CAPM, Markowitz optimization & efficient frontier.

Build momentum & moving-average trading strategies.

Use Jupyter Notebooks for Data Science projects.

Use NumPy, Pandas, Matplotlib & Seaborn.

Build & tune ML models with SciKit-Learn.

Apply ML/DL to prediction, fraud & segmentation.

ML for regression, classification & clustering.

Evaluate regression with MAE, MSE, RMSE & R².

Evaluate classifiers: accuracy, precision, recall, F1.