Sushil Sheth

Years of Experience in MongoDB Training

3

Teaching Experience in detail in MongoDB Training

MongoDB course content • Chapter 1: Introduction to MongoDB - History - Why mongoDB - Dependencies - Pros and cons - challenges - basic skill set • Chapter 2: Installation - Installation - software dependencies - Basic requirement - platform dependencies - Installation on open source - practice • Chapter 3: Data modeling - Basic knowledge on database - what is NOSQL DB - CAP rule - ACID property - Logic to design database - Tips on data analyst • Chapter 4: Working with Database - create database - Drop Database - explore database - admin responsibility - Data modification • Chapter 5: Working with Database - Create database - Drop Database - Explore options in database • Chapter 6: Collection in mogoDB - working with collection - Object for collection - limitation for collection • Chapter 7: Data type and example for same - Data type in mongoDB - playing with variables - example • Chapter 8: Manage document and manipulate - CAP implementation - insert, update, delete operation on document - manipulate document • Chapter 9: Projection operation - projecting data - modify the data with the help of project - control on data view - examples on projection • Chapter 10: Sorting and controlling output - control on data and datatype - Sort operation - control record output • Chapter 11: Index operation - create index - delete and manipulate index - complex index - drawback of index on document - best practice of index - working with object and index - query optimization • Chapter 12: Aggregation and replication - Data aggregation - Different function for aggregation - replace data - conditional based function • Chapter 13: Manage backup - Backup database - restore implemented database - modify database • Chapter 14: Referencing - working with data referencing - advance database modification - working with multiple databases • Chapter 15: Analytical operation - complex query - analytical results - embedded documents • Chapter 16(a): Regex - implement regular expression - object in regex - optimization - improve search operation - text search optimization • Chapter 16(b): Auto-Increment - implement auto increment - improve sequencing - imprve sequence with object ID

Years of Experience in Python Training classes

8

Teaching Experience in detail in Python Training classes

I deliver training on python for banking security and network automation. I conduct online classes with flexible timing. My training will include assignment and live practice. I cover automation, database/network topics with python, unix scripting examples too. I have experience of personal as well as corporate training. 5+ years of experience in corporate training for python. (client wipro, Tcs, cognizant etc)

Years of Experience in Perl Training classes

7

Teaching Experience in detail in Perl Training classes

I have 7 years of experience as programmer. Work on project for banking security and network automation. We conduct online classes with flexible timing. My training includes assignment and live examples. I cover automation program, database/network topics, unix scripting examples etc. I have experience of personal as well as corporate training. 5+ years of experience in corporate training for python. (client wipro, Tcs, cognizant, IBM etc) Course content : Course Duration : (22 to 26) hrs Course Content Introduction ? History of evolution ? Why Perl ? Uses of Perl ? Perl on Linux, windows ? Real life examples ? Books on perl Perl Fundamentals ? First program with minimal explanation ? Variables : scalar, array, hash ? Operators ? Print statements ? Comments ? Executing the program ? Use of use strict and use warnings pragma ? Subroutines Control structure and loops ? if, if else, if elsif else, nested if else ? for, foreach, while, do while ? next, unless, return, exit, last, until, redo ? Ternary operators, goto label, ? Given and when similar to switch and case Useful/necessary functions to memorize ? chop and chomp ? sort and reverse ? caller, wantarray ? exec, system and eval ? uc, ucfirst, lc lcfirst ? grep and map ? length ? undef ? qw, qq,q, qx, qr ? warn, die Array Functions ? push and pop ? join and split ? slice and splice ? shift and unshift Hash Functions ? keys ? values ? exists ? defined ? delete ? each Array and hash manipulation ? Array and hash reference ? Anonymous reference ? Sorting array and hash elements Inbuilt special variables Regular Expressions basics ? Regexp basics ? Modifiers, quantifier, metacharacters ? Pattern matching, search and replace, transliteration File Handling ? Read, write, append, open , close files ? Binary file manipulation using binmode ? File testing ? Open directory, read files into it etc Introduction to Modules and Packages ? CPAN modules ? How to work with CPAN modules ? use, require, do ? Object Oriented Perl basics Database Connectivity ? Connection to the database ? Manipulating the fetched values from databases ? Inserting/updating database Program on Network and security ? Connection to the network devices ? Fragmenting multiple data from various component ? Monitoring network bandwith ? Control network device

Years of Experience in Windows Powershell

8

Teaching Experience in detail in Windows Powershell

Hello, I have 9+ years of experience in IT industries. Work on window powershell for projects on banking security and network optimization. I conduct online classes for data science. Class include multiple examples with case study on various algorithms. Algorithm are most important topic in data science, algorithm help to increase data security in optimize way. I conduct corporate training for various companies like Wipro, TCS etc Regards, Sushil SHETH 7045037679 (whatsup)9004336423 Course content : Course Duration : (16 to 19) hrs Module 1: Getting Started with Windows Power Shell Lesson 1: Overview and Background Lab A: Configuring Windows PowerShell Lesson 2: Finding and Learning Commands Lesson 3: Running Commands Lab B: Finding and Running Basic Commands Module 2: Working with the Pipeline Lesson 1: Understanding the Pipeline Lesson 2: Selecting, Sorting, and Measuring Objects Lab A: Using the Pipeline Lesson 3: Converting, Exporting, and Importing Objects Lab B: Converting, Exporting, and Importing Objects Lesson 4: Filtering Objects Out of the Pipeline Lab C: Filtering Objects Lesson 5: Enumerating Objects in the Pipeline Lab D: Enumerating Objects Module 3: Understanding How the Pipeline Works Lesson 1: Passing Data in the Pipeline By Value Lesson 2: Passing Data in the Pipeline By Property Name Lab: Working with Pipeline Parameter Binding Module 4: Using PS Providers and PS Drives Lesson 1: Using PS Providers Lesson 2: Using PS Drives Lab: Using PS Providers and PS Drives Module 5: Formatting Output Lesson 1: Using Basic Formatting Lesson 2: Using Advanced Formatting Lesson 3: Redirecting Formatted Output Lab: Formatting Output Module 6: Querying Management Information by Using WMI and CIM Lesson 1: Understanding WMI and CIM Lesson 2: Querying Data by Using WMI and CIM Lesson 3: Making Changes by Using WMI and CIM xvi 10961A: Automating Administration with Windows PowerShell® Lab: Working with WMI and CIM Module 7: Preparing for Scripting Lesson 1: Using Variables Lesson 2: Scripting Security Lab: Working with Security in Windows Power Shell Module 8: Moving from Command to Script to Module Lesson 1: Moving from Command to Script Lab A: Moving from Command to Script Lesson 2: Moving from Script to Function to Module Lab B: Moving from Script to Function to Module Lesson 3: Implementing Basic Error Handling Lab C: Implementing Basic Error Handling Lesson 4: Using Basic Scripting Constructs Lab D: Creating an Advanced Function Lesson 5: Exploring Other Scripting Features Module 9: Administering Remote Computers Lesson 1: Using Basic Remoting Lesson 2: Using Advanced Remoting Techniques Lab A: Using Basic Remoting Lesson 3: Using Remoting Sessions Lab B: Using Remoting Sessions Lesson 4: Using Remoting for Delegated Administration Lab C: Using Remoting for Delegated Administration Module 10: Putting it All Together Lesson 1: Provisioning a New Server Core Instance 1 Lab: Provisioning a New Server Core Instance Module 11: Using Background Jobs and Scheduled Jobs Lesson 1: Using Background Jobs Lab A: Using Background Jobs Lesson 2: Using Scheduled Jobs Lab B: Using Scheduled Jobs Module 12: Using Profiles and Advanced Windows Power Shell Techniques Lesson 1: Using Advanced Windows Power Shell Techniques Lesson 2: Creating Profile Scripts Lesson 3: Working with Alternative Credentials

Years of Experience in Database Training classes

7

Teaching Experience in detail in Database Training classes

Hello, I have 9 years of experience in Database management. I work for multiple live project for bank security, MIS reporting and network optimization. We conduct online classes with flexible timing. My training will include assignment and live practice. I have experience of personal as well as corporate training. 7+ years of experience in corporate training (client wipro, Tcs, cognizant etc) Regards, Sushil SHETH 7045037679 (whatsup)9004336423 Course content : Course Duration : (14 to 18) hrs Theory, Terminology and Concepts • Client/Server Concepts • Database and Database Objects Mysql Architect • Structure of mysql DB • System object to improve performance of mysql • Security in mysql • Optimization of mysql Oracle DB • Inbuilt function • Complex query using oracle function • Architect • Optimization Data Definition using SQL • Databases • Data Types • DDL, DML and DCL • Tables • Constraints and Indexes • Views Basic Data Manipulation using SQL • Recurring SQL Constructs • Adding data • Modifying data • Removing data • Searching data Advanced Data Manipulation using SQL • Expressions • Grouping and Aggregate Functions • Joining Tables • Complex join • Sub query • Inbuilt functions Transactions • Transaction Concepts • SQL for working with Transaction Import/Export • Tools for Import/Export • SQL for Import/Export

Years of Experience in Unix Shell Scripting Training classes

5

Teaching Experience in detail in Unix Shell Scripting Training classes

Hello, I have 7 years of experience as programmer. Work for Shell scripting project. I work for multiple project for bank security, MIS reporting and network optimization. We conduct online classes with flexible timing. My training will include assignment and live practice. I have experience of personal as well as corporate training. 7+ years of experience in corporate training (client wipro, Tcs, cognizant etc) Regards, Sushil SHETH Shell Scripting - Shell Basics 1. Types of shells 2. Shell functionality 3. Environment - Writing first script 1. Writing script & executing basic script 2. Debugging script 3. Making interactive scripts 4. Variables (default variables) 5. Mathematical expressions - Conditional statements 1. If-else-elif 2. Test command 3. Logical operators-AND,OR,NOT 4. ase –esac - Loops 1. While 2. For 3. Until 4. Break & continue - Command line arguments 1. Positional parameters 2. Set & shift 3. IFS 4. Break & continue - Functions & file manipulations 1. Processing file line by line 2. Functions - Regular Expression & Filters 1. What is regular expression 2. Grep,cut ,sort commands 3. Grep patterns - SED & AWK - Processes 1. Concept of process in Unix 2. Background processes 3. Scheduling processes -At, batch & Cron - Misc 1. Trapping signals 2. String substitutions / manipulations Advanced Shell Scripting - Advanced Scripting Techniques 1. Providing command line options to scripts 2. Shell & subshells 3. Exporting variables 4. Arrays 5. Remote shell execution 6. Dialog boxes - SQL with Shell 1. Connecting to MySQL using shell 2. Running SQL queries from a shell script - Essential System Administration jobs 1. Managing disk space/file system 2. Startup-Shutdown scripts 3. Backup-cpio-tar 4. Monitoring , health check

Years of Experience in Data Science Classes

7

Teaching Experience in detail in Data Science Classes

I have 9+ years of experience in IT industries. Work on project for banking security and network optimization. I conduct online classes for data science. Class include multiple examples with case study on various algorithms. Algorithm are most important topic in data science, algorithm help to increase data security in optimize way. I conduct corporate training for various companies like Wipro, TCS, IBM etc Regards, Sushil SHETH 7045037679 (whatsup)9004336423 Topics: Duration : 45 days Introduction Brief history Concept and scope Enabling technology Data mining prerequisite Algorithm prerequisite Software prerequisite Algorithm Data mining goal Data mining algorithm Data mining using R, python Sequence mining using BigML : sequene 1 Sequence mining using BigML : sequene 2 Algorithm 2 Fraud detection Disease control Simulation Network security Statistic visualization BI architect (Business intelligence) RDBM and ORM Syntax of RDBMS Inbuilt function Limitation Overview of different database RDBM and ORM: 2 Complex query Multi join Sub query and limitation of same Data reduction Data reduction and its goal Data reduction in R Data reduction in python Data reduction in Orange Data reduction using rapid miner Data mining in Clustering Clustering data Clustering in R Clustering in python Clustering in BigML Clustering in orange Data Classification Classification of Data in various type Classification in R Classification in python Classification in Rapid miner Classification in KNIME Anomaly detection Anomaly data detection Anomaly data detection in R, Python, BigML, RapidMiner Analysis of data Analysis goal and data Analysis in R, python , Orange, KNIME Regression analysis Regression Analysis goal and data Analysis in R, python , Orange, KNIME Regression analysis

Years of Experience in Finance Training classes

8

Teaching Experience in detail in Finance Training classes

I work for Technofinance project. I deliver training on fundamental of finance module. Course cover how bank work on daily basis, cash flow, AML, Basel norms, role and responsibility of a bank.