Financial Analytics with Python

Get well versed with numerous financial as well as statistical formulas along with its practical analysis

What you’ll learn

The Candidate will be able to learn Statistical Techniques which are used in the Financial Analysis of a Company through this Financial Analytics Certification Course.
Learn all the basic Financial Jargons and terminologies used in the day to day working which is often used in the Office

To take any of the above Courses, one has to have basic knowledge about the Finance Industry and the Terms used in the Industry.
The Candidate who is looking out to make a career in the Analytics in future should take up this Financial Analytics Certification Course as it will enable him to lay a Strong Foundation before starting a Job in the Corporate World.
These skills are very much required in this Financial Analytics Training since the Candidate will work heavily on large Databases and Numbers and Mathematical Skills will play a crucial role in the Course Study.

It refers to the Undergraduates or Graduates who are in the last year of college and willing to start a Career in Financial Analytics in the future. These are the ones who know very little about Financial Analytical Techniques and their Applications in the Practical World. Hence this would be the Foremost Target Audience for this Course as it would be very easy to convince them to take up this Financial Analytics Training Course in their Initial Stages of the Career.
It refers to the CA’s, CS, MBA who are already working in a Corporate and are willing to enhance their Analytical Skills further. These are the ones who want to enhance their Analytical skills and have an additional Skill to their Kitty.
It refers to those who are working in a Corporate in a different Department and are willing to learn about Financial Analytics to Switch their Existing Role either in the same Company or in any other Company for a better profile and Compensation should take up this Financial Analytics Certification Course to brush up their Financial Analysis Skills and Excel in their Careers.