The Certified Financial Analytics Practitioner' (CFAP) course is a focused 32-hour instructor-led training and certification program that equips participants to explore+analyze+solve financial sector problems using popular analytics tools such as R & Advanced Excel.
DurationDescription
The Certified Financial Analytics Practitioner' (CFAP) course is a focused 32-hour instructor-led training and certification program that equips participants to explore+analyze+solve financial sector problems using popular analytics tools such as R & Advanced Excel.
The Certified Financial Analytics Practitioner' (CFAP) course is a focused 32-hour instructor-led training and certification program that equips participants to explore+analyze+solve financial sector problems using popular analytics tools such as R & Advanced Excel.
Kodakco is an upskilling & technology consulting company with offices in Hyderabad & San Francisco. We give trainings to individuals in the field of Medical, Language, Six Sigma, Design & SAP at B2C level.
We provide consulting & enterprise application services such as SAP Business Suite S/4HANA, SAP Cloud Platform, Successfactors, C/4HANA with Hybris C4C, BW/4HANA, and Cloud Analytics to companies at B2B level. Our focus is on the customer first approach to bring value with the relationship.
Our Vision
To become the leading customer's preferred knowledge partner by offering (best-of-breed) top-notch business solutions by training individuals & upgrading corporates through innovations, utilizing technology, and best-in-class people to increase returns (Customer Returns) on Customer Investments
Our Mission
Empower individuals by up to date trainings & offering cutting-edge IT-enabled solutions for clients to expand their enterprises.
This course is for data scientists and statisticians that already have basic R & C++ coding skills and R code and need advanced R coding skills. The purpose is to give a practical advanced R programming course to participants interested in applying the methods at work.
Statistical computing is employed within a diverse range of industries. In recent years, an open source project, R, has emerged as the preeminent statistical computing platform. With its unsurpassed library of freely available packages, R is capable of addressing almost every statistical inference ...
This course is a 35-hour program designed to provide a comprehensive introduction to R. You’ll learn how to load, save, and transform data as well as how to write functions, generate graphs, and fit basic statistical models with data.
Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience.
In this course, you’ll use advanced modeling techniques to predict, classify and group data. You’ll use more advanced techniques to help you understand both inferential and predictive approaches.
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