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PYTHON REALTIME ONLINE TRAINING BY REALTIME WORKING PROFESSIONALS Course Content (we can customize the course content as per your requirements) Python online Training Course Content Part I >> Getting Started •History •A Python Q&A Session •How Python Runs Programs •How You Run Programs Part II >> Types and Operations •Introducing Python Object Types •Numeric Types •The Dynamic Typing Interlude •Strings •Lists and Dictionaries •Tuples, Files and Everything Else Part III >> Statements and Syntax •Introducing Python Statements •Assignments, Expressions, and Prints •if Tests and Syntax Rules •while and for Loops •Iterations and Comprehensions - I •The Documentation Interlude Part IV >> Functions •Function Basics •Scopes •Arguments •Advance Function Topics •Iterations and Comprehensions – II Part V >> Modules •Modules: The Big Picture •Module Coding Basics •Module Package •Advance Module Topics Part VI >> Classes and OOP •OOP: The Big Picture •Class Coding Basics •A More Realistic Example •Class Coding Details •Operator Overloading •Designing with Classes •Advanced Class Topics Part VII >> Exceptions and Tools •Exception Basics •Exception Coding Detail •Exception Objects •Designing With Exceptions COURSE HIGHLIGHTS 1.Instructor lead online training by Real time working faculty 2.Software or lab access will be provided for unlimited hours 3.Good quality Material and Recorded videos of daily class will be provided 4.Real time assignments to get hands on experience 5.Mock Interview and job oriented training by exceptionally good trainers

Course Content (we can customize the course content as per your requirements) Python online Training Course Content Part I >> Getting Started • History • A Python Q&A Session • How Python Runs Programs • How You Run Programs Part II >> Types and Operations • Introducing Python Object Types • Numeric Types • The Dynamic Typing Interlude • Strings • Lists and Dictionaries • Tuples, Files and Everything Else Part III >> Statements and Syntax • Introducing Python Statements • Assignments, Expressions, and Prints • if Tests and Syntax Rules • while and for Loops • Iterations and Comprehensions - I • The Documentation Interlude Part IV >> Functions • Function Basics • Scopes • Arguments • Advance Function Topics • Iterations and Comprehensions – II Part V >> Modules • Modules: The Big Picture • Module Coding Basics • Module Package • Advance Module Topics Part VI >> Classes and OOP • OOP: The Big Picture • Class Coding Basics • A More Realistic Example • Class Coding Details • Operator Overloading • Designing with Classes • Advanced Class Topics Part VII >> Exceptions and Tools • Exception Basics • Exception Coding Detail • Exception Objects • Designing With Exceptions

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DEVOPS / Build & Release training course content Tools Matrix: S.NO: Modules/Tools 1 Scripting: Shell scripting Advanced Perl Programming Python programming Ruby on Rails 2 DevOps: Chef/Puppet for Configuration Management. Docker/Packer for Containerization Vagrant for Provisioning AWS for Cloud computing Jenkins for Automated Installation and Deployment. Nagios for Infra-Monitoring Rundeck for Deployment Automation Elasticsearch for storage & distributed search engine Kibana for data visualization logstash to process & transport logs Serf for Service orchestration and management tool 3 SCM: SVN Git Clearcase Perforce 4 Build Management: Ant Maven Makefile Msbuild 5 CI: Hudson/Jenkins 6 Static Code analysis: Sonar for Java &.Net 7 Binary Repository Manager: Nexus Artifactory 8 Web/Application Server: Tomcat GlassFish Jboss Websphere 9 Infrastructure Monitoring: Nagios Mmonit 10 Database: Mysql MongoDB Phone/WhatsApp: +91-(850) 012-2107 Course Schedule

DEVOPS / Build & Release training course content Tools Matrix: S.NO:Modules/Tools 1Scripting: •Shell scripting oAdvanced Perl Programming •Python programming •Ruby on Rails 2DevOps: •Chef/Puppet for Configuration Management. •Docker/Packer for Containerization •Vagrant for Provisioning •AWS for Cloud computing •Jenkins for Automated Installation and Deployment. •Nagios for Infra-Monitoring •Rundeck for Deployment Automation •Elasticsearch for storage & distributed search engine •Kibana for data visualization •logstash to process & transport logs •Serf for Service orchestration and management tool 3SCM: •SVN •Git •Clearcase •Perforce 4Build Management: oAnt oMaven •Makefile •Msbuild 5CI: •Hudson/Jenkins 6Static Code analysis: •Sonar for Java &.Net 7Binary Repository Manager: •Nexus •Artifactory 8Web/Application Server: •Tomcat •GlassFish •Jboss •Websphere 9Infrastructure Monitoring: •Nagios •Mmonit 10Database: •Mysql •MongoDB

DEVOPS/BUILD & RELEASE ONLINE TRAINING(TUTORING),CORPORATE TRAINING BY CORPORATE PROFESSIONALS Devops Tutorial-Course Content (we can customize the course content as per your requirements) DEVOPS/BUILD & RELEASE Training Course Content S.NO:Modules/Tools 1Scripting: • Shell scripting o Advanced Perl Programming • Python programming • Ruby on Rails 2DevOps: • Chef/Puppet for Configuration Management. • Docker/Packer for Containerization • Vagrant for Provisioning • AWS for Cloud computing • Jenkins for Automated Installation and Deployment. • Nagios for Infra-Monitoring • Rundeck for Deployment Automation • Elasticsearch for storage & distributed search engine • Kibana for data visualization • logstash to process & transport logs • Serf for Service orchestration and management tool 3SCM: • SVN • Git • Clearcase • Perforce 4Build Management: o Ant o Maven • Makefile • Msbuild 5CI: • Hudson/Jenkins 6Static Code analysis: • Sonar for Java &.Net 7Binary Repository Manager: • Nexus • Artifactory 8Web/Application Server: • Tomcat • GlassFish • Jboss • Websphere 9Infrastructure Monitoring: • Nagios • Mmonit 10Database: • Mysql • MongoDB Phone/WhatsApp: +91-(850) 012-2107

MICROSOFT BIZTALK LIVE ONLINE TRAINING,CORPORATE TRAINING,INTERVIEW & JOB SUPPORT BY IT PROFESSIONALS FOR FREE DEMO contact: Phone/WhatsApp: +91-(850) 012-2107 USA Number: 214-628-3894 Interview Questions and Answers, Recorded Video Sessions, Materials, Mock Interviews Assignments Will be provided Course Curriculum (we can customize the course agenda as per your requirements) MICROSOFT BIZTALK Course Content S.NO:Modules/Tools 1Scripting: • Shell scripting o Advanced Perl Programming • Python programming • Ruby on Rails 2DevOps: • Chef/Puppet for Configuration Management. • Docker/Packer for Containerization • Vagrant for Provisioning • AWS for Cloud computing • Jenkins for Automated Installation and Deployment. • Nagios for Infra-Monitoring • Rundeck for Deployment Automation • Elasticsearch for storage & distributed search engine • Kibana for data visualization • logstash to process & transport logs • Serf for Service orchestration and management tool 3SCM: • SVN • Git • Clearcase • Perforce 4Build Management: o Ant o Maven • Makefile • Msbuild 5CI: • Hudson/Jenkins 6Static Code analysis: • Sonar for Java &.Net 7Binary Repository Manager: • Nexus • Artifactory 8Web/Application Server: • Tomcat • GlassFish • Jboss • Websphere 9Infrastructure Monitoring: • Nagios • Mmonit 10Database: • Mysql • MongoDB FOR More Details contact us Phone/WhatsApp: +91-(850) 012-2107 USA Number: 214-628-3894

Data science online training, students will learn R programming, spark, machine learning using Python, map reduce concepts offers real time projects We have an outstanding trainers who provide better growth for your career..!!!

SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Online Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - ONLINE TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 4 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Online Demo, please visit Schedules for PRACTICAL Data Science & Big Data /Data Analytics Online Training Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801 

SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Classroom Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - CLASSROOM TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 3 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Classroom Demo, please visit Schedules for PRACTICAL Data Science & Big Data /Data Analytics Classroom Training SequelGate Training Institute  Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801  Sai Anu Avenue, Street No #3, Patrika Nagar, HITEC City, Hyderabad - 81 (India).

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SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Online Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - ONLINE TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 4 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Online Demo, please visit SequelGate Training Institute  Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801  Sai Anu Avenue, Street No #3, Patrika Nagar, HITEC City, Hyderabad - 81 (India).

SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Classroom Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - CLASSROOM TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 3 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Classroom Demo, please visi Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801  Sai Anu Avenue, Street No #3, Patrika Nagar, HITEC City, Hyderabad - 81 (India).

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DEVOPS/BUILD & RELEASE REALTIME ONLINE TRAINING FROM INDIA | USA | UK | CANADA FOR FREE DEMO contact: Phone/WhatsApp: +91-(850) 012-2107 Interview Questions and Answers, Recorded Video Sessions, Materials, Mock Interviews Assignments Will be provided Devops-Course Agenda (we can modify the course content as per your requirements) DEVOPS Training Curriculum S.NO:Modules/Tools 1Scripting: • Shell scripting o Advanced Perl Programming • Python programming • Ruby on Rails 2DevOps: • Chef/Puppet for Configuration Management. • Docker/Packer for Containerization • Vagrant for Provisioning • AWS for Cloud computing • Jenkins for Automated Installation and Deployment. • Nagios for Infra-Monitoring • Rundeck for Deployment Automation • Elasticsearch for storage & distributed search engine • Kibana for data visualization • logstash to process & transport logs • Serf for Service orchestration and management tool 3SCM: • SVN • Git • Clearcase • Perforce 4Build Management: o Ant o Maven • Makefile • Msbuild 5CI: • Hudson/Jenkins 6Static Code analysis: • Sonar for Java &.Net 7Binary Repository Manager: • Nexus • Artifactory 8Web/Application Server: • Tomcat • GlassFish • Jboss • Websphere 9Infrastructure Monitoring: • Nagios • Mmonit 10Database: • Mysql • MongoDB FOR Other Details contact: Phone/WhatsApp: +91-(850) 012-2107

SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Online Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - ONLINE TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. All Sessions are Completely Practical and Realtime. Duration: 4 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Online Demo, please visit Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801  Sai Anu Avenue, Street No #3, Patrika Nagar, HITEC City, Hyderabad - 81 (India).

SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Online Trainings and Corporate training All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - CLASSROOM TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. All Sessions are Completely Practical and Realtime. Duration: 4 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Classroom Demo, please visit ata Analytics Classroom Training: Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801  Sai Anu Avenue, Street No #3, Patrika Nagar, HITEC City, Hyderabad - 81 (India).

SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom, Online Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - CLASSROOM TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. All Sessions are Completely Practical and Realtime. Duration: 3 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Classroom Demo, please visit Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801  Sai Anu Avenue, Street No #3, Patrika Nagar, HITEC City, Hyderabad - 81 (India).