Data Science Training

From: Graspskills
Published: Tue Jan 24 2017


Globally recognized certification training company Graspskills (www.graspskills.com) has introduced new course - Data Science Training (https://goo.gl/GYhqKC).
The Data Science course helps you to learn Data Science Toolkit, Design Process and Web Scraping, Regression, Communicating Results, Machine Learning Concepts, Naive Bayes Algorithm, JavaScript and D3.js, APIs, Data Collection Methods, NoSQL Storage, Web Apps with Flask and Natural Language Processing (NLP).

Objectives:
Learn the roles and responsibilities of Data scientist.
Learn the tools and techniques of Experimentation, Evaluation and Project Deployment
Understand Data Science project life cycle, Data Acquisition and Data Collection
Execute various Machine Learning Algorithms
Implement Recommenders with Apache Mahout and Data Transformation and etc.

Data Science training can be attended by Developers, Data analyst, SAS/SPSS Professionals, Statisticians, Information Architects and Hadoop Professionals.

Prerequisites:
Participants should have proficiency in a scripting language; Python is strongly preferred, but familiarity with Perl or Ruby is sufficient.

About Graspskills:
Graspskills is one of the largest providers of professional certification courses in classroom, online and also virtual training. Our main mission is to satisfy the participants through excellent training. We offer more than 100 courses in 130+ countries. Graspskills courses are recognized by more than 50 global companies including Infosys, Wipro, Cognizant, TATA Consultancy Services and Accenture.
For more information about the course and schedule, visit www.graspskills.com

Contact:
Graspskills Pvt Ltd
Dustin Cornwell - Client Relationship Officer
mailto:Dustin.Cornwell@itiltrainingsession.com
Victor Easton - Client Relationship Executive
victor.Easton@projectmanagementnewedition.com
Phone number +1-919-238-9981 (US)

Company: Graspskills
Contact Name: Graspskills
Contact Email: support@graspskills.com
Contact Phone: +1-919-238-9981