Recent Trends in Data Science 2017

Data Analytics aids firms to develop viable techniques around data-driven insights and derive value from vast amounts of untapped data. Whether you are tracking the efficiency of a warehouse or predicting how and when to modify staffing levels in a call center, this data science and big analytics provides the knowledge and skills required to reach the next level of decision-making maturity. Skills are brought to the table by Big Data scientists who obtain business value from a plethora of information by analyzing it for meaning and trends. This requires mathematical and statistical expertise as well as creative, communicative, problem solving, and business skills, making it a very complex but incredibly valuable role. New fields have developed to train for this expanding career path, and there is a wealth of advice for those aspiring to enter the Data Analytics industry - which is expected to see a 500 percent job increase from January 2014 to January 2018.

ï¶ Introduction to Data Analytics
ï¶ Importance of Machine Learning
ï¶ Open source tools for Data Science
ï¶ Big Data Analytics using R
ï¶ Practical sessions on R Programming
ï¶ Introduction to Big Data
ï¶ Hadoop
ï¶ Apache Spark
ï¶ Scala Programming Language
ï¶ Microsoft Azure Platform
ï¶ Introduction to PIG and HIVE
ï¶ Case Study

25-03-2017

Rs.150

15 Kms from Thiruvarur
16 Kms from Kumbakonam