IT Training & Placements in Pune

100% Practical Oriented Approach

Freshers(Graduates) Training’s Working Professionals Training’s

5000+ Happy Learners

1000+ Placed Students

5 star service ratings

QU

AL

ITY

TR

AIN

ING

Preparing New Era Jobs From New Technologywww.yessinfotech.com

Latest Technologies Internship Available

Java Development Program Python Development Program

Software Testing Program Data Science Program

Working Professional Trainers.

Minimum Batch Size For Personal Attention.

Money back guarantee training.

Internship Program for Gradutaes.

Classrooms available for study.

Free wifi available for study.

Our student saysStaff is very supportive.Trainer is also very great, they put there 100%.

Special tanks to sandip sir.I got placed in SYNTEL.

Before joining Yess InfoTech I didnt know single line of code and I was

working in InfoSys as a Technical support.

I worked hard. Yess InfoTech provided multiples calls to me. Finally I got

job in SYNTEL as a Software Tester.

Thank you Yess Team

Thanks.Sandesh B.

Listing on: ||| |

Our Training Method

Expert Discussion

Mock InterviewCV Making

Placement CallsScheduled drive Job Feedback

FileTheory

Explanation Test

PapersPractical

Our Trainers

We have experienced trainers

with min 5yrs of experience.

Teaching style is more n more

practical oriented. Less Theory.

Guidance starting from software

installation to project management.

Real time examples and practice

questions. CV making by trainers.

Mock interview session and many more.

LED ScreenOur Infrastructure

Reception Computer Lab Coridoor

Counseling Lounge

WaitingLounge

Well-equppied Computers

Why Yess?

Genuine Consultation Basics

Java

Data Science

Python

Selenium

Personality Development

Advanced Technologies Project

Specialization

Industry Expectations Failure in interview

YESSINFOTECH

Practical Knowledge

Latest Skills

Latest technologies

Hands on Knowledge

Presentation Skills

Fluent communication

Ready to work attitude

Project knowledge

Live Projects

Timing Flexibility

Lack of confidence

Less Practice

Awareness about latest tools & techniques

English Communication

Lack of Presentation Skills

Lack of stage daring

Sincere hard work

Lack of Project knowledge

Lack of Timing Flexibility

YESSINFOTECH

Our students write usHi,

Here, I am taking Angluar classes,

the faculty and amenities are very good..

staff is very cooperative and supportive.

my all doubts are cleared very well by the

faculty..I recommend who want to do

professional course.. plz consult here...

My own experience is very good..

I did Software Testing training

with yess InfoTech.

Satisfied with the response.

Trainer is having

practical knowledge..I placed in HCL company.

Very supportive staff.

Reference: Google.com

YESS INFOTECH

SYLLABUS

Course 1 Data Science and Machine Learning

Data Science and Machine Learning Using Python | R

Learn Data Science & Machine Learning, Deep Learning with Python Or R Language

Trainer :- Experienced Data Science Consultant

Duration : 3 Months – Weekends 3 Hours on Saturday and Sundays

Introduction

4. Sign up for account creation on https://github.com/

7. Input and Output

1. Inferential Statistics:

5. Data Structures

1. Pandas

1. Matplotlib

3. An Informal Introduction to Python

4. More Control Flow Tools

Machine Learning Using PythonBasic Python

2. Using the Python Interpreter

1. Install Anaconda Distribution as per OS from https://www.anaconda.com/distribution/ (Python 3.7 version)

5. Git Bash Utility – https://git-scm.com/downloads

1 Introduction

2. Sign Up for account creation on https://www.hackerrank.com/

6. Modules

Data Science with Python

3. Sign up for account creation on https://www.kaggle.com/

Module 1: Statistics and Probability1. Descriptive Statistics:

Module 2: Data Analysis using Python1. Numpy

Module 3: Data Visualization using python Matplotlib, Seaborn, Pandas-in built, Plotly and Cufflinks

1. Seaborn1. Plotly and Cufflinks

Module 5: Jupyter NotebookModule 6: Linear Algebra and CalculusModule 7: SQL

1. Pandas Built-in

Module 8: Big Data

Module 10: RegressionModule 11: Classification – Logistic Regression

Module 13: Classification – SVM (Support Vector Machine)

Module 9: Machine Learning Introduction

Module 14: Classification –Decision Trees

Module 4: GIT

Module 12: Classification – k-Nearest Neighbor(KNN)

Module 16: Unsupervised Learning – ClusteringModule 17: Unsupervised Learning – Dimensionality Reduction

Module 15: Classification – Ensemble Methods

· Project 3 Spam Detection· Project 4 Build your own Recommendation System

CurriculumModule 19: Tableau

· Project 1 Build your own image recognition model with TensorFlow

· Project 5 Build your own Python predictive modeling, regression analysis & machine learning Model

Module 18: Model Deployment On AWS Cloud

· Getting Started

· Project 2 Predict fraud with data visualization & predictive modeling!

● Statistics and Probability Refresher, and Python Practice

Data Science, Deep Learning, & Machine Learning with Python & R Language With Live Machine Learning & Deep Learning Projects

● Experimental Design

Ÿ Experimental Design

Ÿ Linear Regression in R

● Diving into R

● Predictive Models

● Introduction

● More Data Mining and Machine Learning Techniques

● Arrays

● Lists and Data Frames● Factors

Ÿ Predictive Models

Ÿ Dealing with Real-World Data

● Descriptive Statistics● Inferential Statistics

● Deep Learning and Neural Network

● Regression quantifies relationships between variables

● Vectors

● Case studies in Inferential Statistics

Ÿ Recommender Systems

● Statistics and Data Science in R

Ÿ Machine Learning with R

● Recommender Systems

● Dealing with Real-World Data

● Machine Learning with Python

● Matrices

Ÿ More Data Mining and Machine Learning Techniques

Ÿ Data Visualization in R

YESS INFOTECH

SYLLABUS

Course 2 Java Programing

Exception Handling

Basics of Java

OOPS Concepts

String Handling

Nested Classes

Synchronization

Input and output

Multithreading

Serialization

Generics

Advanced Java

JDBC

Basics of Servlet

Servlet Collaboration

ServletConfig

ServletRequest

Collection

ServletContext

Attribute

Session Tracking

Event and Listener

Filter

Directive Elements

Implicit Objects

JSTL

Custom tags

Annotation Servlet

MVC in JSP

Basics of JSP

JSP

Scripting elements

Exception Handling

Action Elements

Inheritance Mapping

Introduction to Spring Boot

Spring Security

Spring MVC

Projection And Criteria

Working with Servers

HB Introduction

Working with IDE

Hibernate Mapping

Hibernate4.x

Maven

Design Pattern

Logging Tool

Mini Projct

Hibernate with Eclipse

Spring Core

Hibernate Example

Hibernate Tutorial

YESS INFOTECH

SYLLABUS

Course 3 Software Testing

Core Java Installation

Constructor

Loops in Java

OOPs Concepts

Inheritance

Eclipse

Java Basics

Special Keywords

Variable Types

Handling Alerts in Selenium

File Download

Interface in Java

Capturing Screenshot

Access Modifiers

String in Java

Exception Handling

Handling Iframes, working with Nested

Iframes

Different types of operations on web

elements

Introduction to Page Object Model

Creation of Framework

Handling Dropdown values

File upload using AutoIT

Jenkins

Abstraction

Collections framework in Java

Mouse actions and Keyboard actions

Writing below reusable methods:

Encapsulation

Introduction to Automation

Navigation commands

Synchrinization in Selenium

Polymorphism

Cucumber

Element Locators:

Selenium Webdriver

TestNG

Maven Project

Reading data from Excel Files

Extent Reports in Selenium

SYLLABUS

Course 4 Python Development

1.2 A Brief history of Python

Basic Python

1.1 What is Python..?

1 Introduction

· Using the Python Interpreter

· Invoking the Interpreter

· The Interpreter and Its

Environment

· Input and Output

· Errors and

Exceptions

HTML

· More Control Flow Tools

CSS

· QuerySets

· Migrations

· Forms

· Admin

1.3 Installing Python

· An Informal Introduction to

Python

Introduction to Django

1.4 How to execute Python program

· Modules

Advance Python

· View Layer

JAVA SCRIPT

· Template Layer

Contact Us:

YESS InfoTech Pvt. Ltd

+91-77986 23005, +91-80557 97387

Office No. 101 Floor No.1 Yess InfoTech, Manisha Blitz

Near Shankar Math,Hadapsar,Pune-411013 www.yessinfotech.com