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Data Science & Big Data Analytics

Course Summary

LearnersPoint’s Big Data and Data Science masters course will provide you with in-depth knowledge on designing, developing and deploying Data Science and Big Data ap0plication in real world, along with performance tuning of the application.

This course will make you a Big Data and Data Science architect, and by the end of the course you will have expertise on Hadoop Developer, Administration, testing and analysis modules, working with real-time analytics, statistical computing, parsing machine-generated data, creating NoSQL applications and finally the domain of Deep Learning in Artificial Intelligence. This program is specially designed by industry experts.


Course Objectives

Mastering the field of data science begins with understanding and working with the core technology frameworks used for analyzing big data. You’ll learn the developmental and programming frameworks Hadoop and Spark used to process massive amounts of data in a distributed computing environment, and develop expertise in complex data science algorithms and their implementation using R, the preferred language for statistical processing. The insights you will glean from the data are presented as consumable reports using data visualization platforms such as Tableau.
 
Once you have mastered data management and predictive analytic techniques, you will gain exposure to state-of-the-art machine learning technologies. This expansive learning path will help you excel across the entire spectrum of big data and data science technologies and techniques.


Course Outline

Big Data introduction

  • Big data: definition and taxonomy
  • Big data value for the enterprise
  • Setting up the demo environment - First steps with the Hadoop “ecosystem”

The Hadoop ecosystem

  • Introduction to Hadoop
  • Hadoop components: MapReduce/Pig/Hive/HBase
  • Loading data into Hadoop
  • Handling files in Hadoop - Getting data from Hadoop

Querying big data with Hive

  • Introduction to the SQL Language
  • From SQL to HiveQL Exercises 4 Querying big data with Hive
  • Introduction to HIVE e HIVEQL
  • Using Hive to query Hadoop files

Big Data & Machine Learning

  • Quick into to Machine learning
  • Big Data & Machine Learning
  • Machine learning tools

            □ Spark & SparkML

            □ H2O

            □ Azure ML Exercises 6 Big data & Machine Learning

  • Big Data & Machine Learning (continued)
  • Next steps in the big data world

Who Needs This Training

  • Software developers and testers
  • Software architects
  • Analytics professionals
  • Business analysts
  • Data analysts
  • Data management professionals
  • Data warehouse professionals
  • Project managers
  • Mainframe professionals
  • Graduates aspiring to build a career in analytics

Course Schedules

Feb 17 to 20, 2019 (4 Days) @ Riyadh, Saudi Arabia

Feb 24 to 27, 2019 (4 Days) @ Dubai, UAE

Mar 17 to 20, 2019 (4 Days) @ Riyadh, Saudi Arabia

Mar 24 to 27, 2019 (4 Days) @ Dubai, UAE


About Trainer

Our trainer is a Solution Architect with 15years of hands on experience in design and implementation of complex projects in large enterprises. Data scientist with good experience in Hadoop, HBase, Hive, Spark, Crunch, HBase, Zookeeper, Sqoop, Flume, Oozie, SolR,Cassandra, Map Reduce, Kafka, Kite, R. He is an expertise in design and development of webservices and API development / Deployment also application development using Java, Spring, Hibernate, Struts, Angular, HTML, CSS, SQL.

He successfully Implemented the Project on Big Data Platform(Cloudera) and using technologies like Spark, Hive, Pig, Oozie, Sqoop, Impala. Possess very strong Exposure to CI/CD tools including maven, Git, Jenkins.  Exposure to Integration using JMS/REST, IBM MQ, WMB, Websphere ESB and Apache Kafka. Also experienced in all the phases of SDLC including Agile(Scrum), Waterfall, TDD and Iteration. He is an IIT’an and certified Software Architect and Sun Certified Java programmer.

Course Objectives

Mastering the field of data science begins with understanding and working with the core technology frameworks used for analyzing big data. You’ll learn the developmental and programming frameworks Hadoop and Spark used to process massive amounts of data in a distributed computing environment, and develop expertise in complex data science algorithms and their implementation using R, the preferred language for statistical processing. The insights you will glean from the data are presented as consumable reports using data visualization platforms such as Tableau.
 
Once you have mastered data management and predictive analytic techniques, you will gain exposure to state-of-the-art machine learning technologies. This expansive learning path will help you excel across the entire spectrum of big data and data science technologies and techniques.

Course Outline

Big Data introduction

  • Big data: definition and taxonomy
  • Big data value for the enterprise
  • Setting up the demo environment - First steps with the Hadoop “ecosystem”

The Hadoop ecosystem

  • Introduction to Hadoop
  • Hadoop components: MapReduce/Pig/Hive/HBase
  • Loading data into Hadoop
  • Handling files in Hadoop - Getting data from Hadoop

Querying big data with Hive

  • Introduction to the SQL Language
  • From SQL to HiveQL Exercises 4 Querying big data with Hive
  • Introduction to HIVE e HIVEQL
  • Using Hive to query Hadoop files

Big Data & Machine Learning

  • Quick into to Machine learning
  • Big Data & Machine Learning
  • Machine learning tools

            □ Spark & SparkML

            □ H2O

            □ Azure ML Exercises 6 Big data & Machine Learning

  • Big Data & Machine Learning (continued)
  • Next steps in the big data world

Who Needs This Training

  • Software developers and testers
  • Software architects
  • Analytics professionals
  • Business analysts
  • Data analysts
  • Data management professionals
  • Data warehouse professionals
  • Project managers
  • Mainframe professionals
  • Graduates aspiring to build a career in analytics

Course Schedules

Feb 17 to 20, 2019 (4 Days) @ Riyadh, Saudi Arabia

Feb 24 to 27, 2019 (4 Days) @ Dubai, UAE

Mar 17 to 20, 2019 (4 Days) @ Riyadh, Saudi Arabia

Mar 24 to 27, 2019 (4 Days) @ Dubai, UAE

About Trainer

Our trainer is a Solution Architect with 15years of hands on experience in design and implementation of complex projects in large enterprises. Data scientist with good experience in Hadoop, HBase, Hive, Spark, Crunch, HBase, Zookeeper, Sqoop, Flume, Oozie, SolR,Cassandra, Map Reduce, Kafka, Kite, R. He is an expertise in design and development of webservices and API development / Deployment also application development using Java, Spring, Hibernate, Struts, Angular, HTML, CSS, SQL.

He successfully Implemented the Project on Big Data Platform(Cloudera) and using technologies like Spark, Hive, Pig, Oozie, Sqoop, Impala. Possess very strong Exposure to CI/CD tools including maven, Git, Jenkins.  Exposure to Integration using JMS/REST, IBM MQ, WMB, Websphere ESB and Apache Kafka. Also experienced in all the phases of SDLC including Agile(Scrum), Waterfall, TDD and Iteration. He is an IIT’an and certified Software Architect and Sun Certified Java programmer.

Contact Us

Suite #101, AL-Tawhidi 1 Building, Next to ADCB Bank, Bank Street, Khaled Bin Waleed Road, Bur Dubai - Dubai. U.A.E. P.O.Box: 94743 Dubai, UAE.

metro learnerspoint

Direction from Metro: Al Fahidi Metro, Exit 1 elevator - walk approx 1 minute towards Burjuman.

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