Location
UAE, Dubai - SMEC Marine
Dates
Dates not decided (3 months)
Course Type
Postgraduate Course
Accreditation
Yes (Details)
Language
English
Price
$2,500 $1,000 only

Special prices available

Course Overview

Data Science Course – Master Level – WHY SHOULD I LEARN DATA SCIENCE MASTER ADVANCED ? In this century data certainly plays a huge role in everything. A proper collection of data with periodic analysis of it, evaluating them in desired levels using algorithms, seeking answers that would be the route maps to achieve success and the whole process is collectively known as Data Science. Ranging from Banks to Hospitals, Search Engines to Websites, Advertisements to Route planners, gamers to Augmented Reality etc. everyone depends on data science in one way or the other for decision making to take steps that get you one step higher and faster. Python being an open source with libraries such as Pandas, NumPy, SciPy etc makes Python perfect for Data Science. Thus Python is found as one of the most suitable languages for Data Science and SMEClabs gives you a pro level training.

Who should take this course

Data Science Master level Requirements: Basics of Python Programming Basics of Java Basics of SQL Syllabus for Data Science Course - Master Level Numpy: Machine Learning & Scientific Computing Pandas: Real-World Data Analysis SciPy: Machine Learning & Scientific Computing Theano: ML & DL Scikit-learn: ML & Data Mining Apache Spark: Next-Generation Big Data Framework Natural Language Processing:NLP R Programming:Data Science MongoDB: NoSQL Cassandra: NoSQL Hadoop: Hadoop Architecture & HDFS Hadoop: Distributed Processing MapReduce Framework Hadoop: HBase Hadoop: Hive Hadoop: Apache Pig Hadoop: Sqoop Kafka: Distributed Streaming Scala: Functional Programming Apache Spark: Next-Generation Big Data Framework

Accreditation

NSDC SMEC

Course content

Data Science Master level Requirements: Basics of Python Programming Basics of Java Basics of SQL Syllabus for Data Science Course - Master Level Numpy: Machine Learning & Scientific Computing Pandas: Real-World Data Analysis SciPy: Machine Learning & Scientific Computing Theano: ML & DL Scikit-learn: ML & Data Mining Apache Spark: Next-Generation Big Data Framework Natural Language Processing:NLP R Programming:Data Science MongoDB: NoSQL Cassandra: NoSQL Hadoop: Hadoop Architecture & HDFS Hadoop: Distributed Processing MapReduce Framework Hadoop: HBase Hadoop: Hive Hadoop: Apache Pig Hadoop: Sqoop Kafka: Distributed Streaming Scala: Functional Programming Apache Spark: Next-Generation Big Data Framework

About Course Provider

Established in the early years of 2001 as the R&D and training hub of SMEC Automation Pvt. Ltd.- an ISO 9001:2015 certified company based in Kochi, Kerala, SMEClabs had received numerous accolades from world renowned bodies such as Microsoft, Schneider Electric,TUV Rheinland, Certiport, etc. and accreditations from national bodies such as National Skill Development Centre (NSDC), India International Skill Centre (IISC), etc.SMEClabs continues to be among the leaders and the top preferred choice for students seeking to create a name for themselves in their respective domain through its skill development training. SMEClabs provides industry-oriented programs and trainings to enhance the skillset of students and prepare them to be industry-ready. SMEClabs boasts courses in its coding bootcamps in data science, digital marketing, CCNA, CCNP, MCSA, MCSE and Python. PLC and SCADA training is one area where SMEClabs has specialized over the years. The program curriculums have been designed in accordance with the industrial requirements and in collaboration with academia and industry practitioners. The training faculties provide maximum guidance and support to the students throughout the course thereby enabling them to complete the programs successfully within the stipulated course duration.The programs are taught both online and offline, as per to the student requirement. We provide 100% placement assistance to the participants that successfully complete the programs.