CFA Confidential: What It Really Takes to Become a Chartered Financial Analyst

Are you contemplating on becoming a Certified Financial Analyst charter holder? Or perhaps weighing the pros and cons of taking a CFA over an MBA. Would you like to know what it would mean financially, effort wise and time wise to achieve the CFA charter? Are you on the lookout for an insider perspective? A charter holder who has gone through the journey and can break it down for you?

The CFA Confidential: What It Really Takes to Become a Chartered Financial Analyst by Gregory M Campion CFA does exactly that.

This book will answer the above questions, in addition to helping you plan your study schedule, manage your time and not lose your nerve. This book is a good guide on how to get through the non-syllabus related material that is equally if not more important if you want to ace the CFA exam.

According to Bill Thompson, CFA (President and Portfolio Manager Round Table Investment Management Company)

“Greg’s wealth of experience – both good and not so good – within the CFA program has led to a highly entertaining handbook that every CFA candidate should read before taking a single step on their own journey.”

Buy this book from Amazon

Finance Train Premium
Accelerate your finance career with cutting-edge data skills.
Join Finance Train Premium for unlimited access to a growing library of ebooks, projects and code examples covering financial modeling, data analysis, data science, machine learning, algorithmic trading strategies, and more applied to real-world finance scenarios.
I WANT TO JOIN
JOIN 30,000 DATA PROFESSIONALS

Free Guides - Getting Started with R and Python

Enter your name and email address below and we will email you the guides for R programming and Python.

Saylient AI Logo

Accelerate your finance career with cutting-edge data skills.

Join Finance Train Premium for unlimited access to a growing library of ebooks, projects and code examples covering financial modeling, data analysis, data science, machine learning, algorithmic trading strategies, and more applied to real-world finance scenarios.