Financial Modelling with Python & Excel : DCF Valuation

The Ultimate Financial Modelling Course that covers Complete DCF (Discounted Cash Flow) Valuation both in Python & Excel
What you'll learn
Be able to build a complete DCF (Discounted Cash Flow) model, from scratch
Be able to code and perform financial modelling in Python Language like an expert
Be able to create various different DCF Models both in Python & Excel
Be able to perform fundamental analysis of Financial Statements of a Company
Be able to Value a company and calculate the intrinsic share price, using real market data
Be able to link Balance Sheet, P&L and Cash Flow Statements with key indicators
Be able to articulate complex concepts related to Financial Valuation, in an interview
Be able to perform analysis and modelling in Excel, like an Expert
Requirements
No prior programming experience is required. Basic knowledge of Excel would be good
Lots of enthusiasm, dedication and focus is mandatory. This is a comprehensive course.
Description
Do you want to become a Python Wizard ? Would you like to learn how to value a company ?
Even people who don't have a Finance or coding background can take this course and learn how to build end-to-end Discounted Cash Flow Models, for the 1st time ever, with Python & Excel !!
All the models used in this course, are available as free downloadable files (jupyter notebooks & excel workbooks) !!
Attention! You will have to go through the videos and the course materials in order to obtain the promised result!
If you want to:
Become a Pro in Python Programming
Improve your Excel modelling skills
Learn how to value a company using different approaches
Understand what drives a company's value and what are it's risks
Learn Fundamental Analysis of Financial Statements
Then this is the right course for you!
What we offer:
Well designed and easy to understand materials
Detailed and comprehensible explanation of theoretical concepts, using a digital whiteboard
Detailed Lab sessions both in Python and Excel
Complete coverage of DCF (Discounted Cash Flow) using multiple different approaches
By the completion of this course you will:
Be able to build a complete cash flow statement
Be able to build financial models with Python & Excel
Know how to value a company, using real world Financial Statements and Market Data
Be able to build multiple different valuation models, from scratch (in Python & Excel)
Know how to create a model with multiple scenarios, parameters
Be able to analyse financial statements of a Company (Balance Sheet, P&L and Cash Flow Statements)
Be able to articulate complex concepts related to Financial Valuation, in interviews

The course is developed by experts, who have extensive experience in the field of Investment Banking, Market Risk, Financial Modeling and Quantitative Finance

About the course:
An unconditional Udemy 30 day money-back guarantee – because we believe in the quality of our content
No significant previous experience is needed to understand the course well and benefit fully from its content
Unlimited lifetime access to all course materials
Emphasis on learning by doing
You can always contact us for any clarification free of charge
Our goal is to take your Financial Valuation skills to the next level. We are going to take you away from the spreadsheet, for the very 1st time !
Make an investment that will pay for itself in terms of career progression, professional opportunities and growth.
Just go ahead and enroll for this course! Stay ahead and beat the race, in this competitive job market and become a rock star, by completing this course ! You will be a rare gem, with a unique combination Python, Financial modelling and Valuation skills !
Happy Learning !

Who this course is for:
Professionals who want to learn Financial Valuation and all its underlying concepts
Professionals who want to become experts in Python & Excel based Financial Modelling
Learners who want to master Python Programming and improve their Excel Skills, in one shot
Finance Experts, who want to be able to analyse and value a company, using real world data

More Info