Python is one of the valuable skills needed for a Data Science Career | Demand for experts with Python Skills is on the rise | This Course aims to bridge this skill gap to feature the right opportunities for you in Data Science | Kodak Consultancy™ offers you the Data Science with Python course to m
Python is one of the valuable skills needed for a Data Science Career | Demand for experts with Python Skills is on the rise | This Course aims to bridge this skill gap to feature the right opportunities for you in Data Science | Kodak Consultancy™ offers you the Data Science with Python course to make you job ready for the most emerging field
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.
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Whether you dabble in data, have an existing degree, or are brand new to the discipline, this data science course is for you
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.
This 35-hour Machine Learning with R course introduces both the theoretical foundation of machine learning algorithms as well as their practical applications in R.
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