Specialization Program in

4 Months job oriented

LIVE Online Training & Internship Program

EISYSTEMS SERVICES
FF-113, Express Greens Plaza, Sector 1
Vaishali, Ghaziabad (Delhi NCR), Uttar Pradesh -201010 - India
P: +91 9773976977 | E: info@eisystems.in | W: www.eisystems.in
About EISystems
EISystems Services is a leading Indian technology identity with operations in 16 states and
union territories of India. EISystems (We call it EISys) offers trainings in Machine Learning,
Internet of things, Deep Learning, Computer Forensics, Automobiles, Robotics, Electric Vehicles,
Data Science for professional and student community.

We have trained about 70000 students and impacted around 2 lakhs students through our
various outreach initiatives since our founding.

More on /company/eisystems-technologies

Our Clientale
Some of the colleges where we had already felt our presence are given below:-
1. Indian Institute of Science, Bangalore
2. Indian Institute of Technology, Bombay
3. Indian Institute of Technology, Delhi
4. Indian Institute of Technology, Madras
5. Indian Institute of Technology, Kanpur
6. Indian Institute of Technology, Roorkee
7. Indian Institute of Technology, Guwahati
8. Indian Institute of Technology (Banaras Hindu University), Varanasi
9. Indian Institute of Technology, Indore
10. Indian Institute of Technology, Bhubaneswar
11. Indian Institute of Technology, Jodhpur
12. Indian Institute of Technology, Hyderabad
13. National Institute of Technology, Tiruchirappalli
14. National Institute of Technology, Warangal
15. National Institute of Technology, Calicut
16. ational Institute of Technology, Patna
17. National Institute of Technology, Jalandhar
18. National Institute of Technology, Jaipur
19. National Institute of Technology, Durgapur
20. National Institute of Technology, Surat
21. National Institute of Technology, Allahabad
22. Indian Institute of Information Technology, Allahabad
23. ABV- Indian Institute of Information Technology & Management, Gwalior
24. PDP- Indian Institute of Information Technology & Management, Jabalpur
25. College of Engineering Guindy
26. Anna University, Chennai
27. PSG College of Technology, Coimbatore
28. JNTUH College of Engineering, Hyderabad
29. SRM University
and more than 100 other engineering colleges.

EISYSTEMS SERVICES
FF-113, Express Greens Plaza, Sector 1
Vaishali, Ghaziabad (Delhi NCR), Uttar Pradesh -201010 - India
P: +91 9773976977 | E: info@eisystems.in | W: www.eisystems.in
Who can join this program?
Students/Professionals from CSE/IT/MCA/BCA/BSc IT/ECE background are eligible to join this
program.

Infrastructural Requirements
We expect participant(s) to have
1. Laptop / Workstation with Microsoft Windows
2. Smartphone
3. Wifi / High Speed Internet Connectivity

To know more about complete requirements, visit support page at www.eisystems.in

Post Training Deliverables

Every participant will get under mentioned deliverables
1. Offer Letter
2. 65 hours of live online training by specialized trainer.
3. Hands on experience on various projects
4. Certificate of Internship from Eisystems Services & Technex IIT (BHU) Varanasi.
5. Lifetime Access of Classroom Notes
6. Guidance for Entrepreneurship in chosen field or placement support.

Course Flow
All of the sessions will be practical oriented and trainer will likely to follow undergiven flow
from start to end of training phase.

Data Science

Data Science - Introduction

Python Programming

Concepts & Practicals Projects on Python Programming

Machine Learning

Models & Working on Datasets Projects on Machine Learning

Statistics & Data Visualization using Tableau

Final Project

EISYSTEMS SERVICES
FF-113, Express Greens Plaza, Sector 1
Vaishali, Ghaziabad (Delhi NCR), Uttar Pradesh -201010 - India
P: +91 9773976977 | E: info@eisystems.in | W: www.eisystems.in
Content Outline
All of the sessions will be practical oriented, kindly look on the syllabus which we are going
to cover during training days.

Data Science Module

Session 1
Overview of this training.
Overview of Data Science
Terminologies in Data Science

Session 2
Types of Data
Introduction to Data Mining
KDD Process
Applications of Data Science

Python Programming Module

Session 1
Introduction
Why do we need Python?
How to Install Python?
Execution steps
Interactive Shell
User Interface or IDE
Creating Your First Python Program

Session 2
Memory Management and Garbage Collection
Object Creation and Deletion
Object Properties
Data Types and Operations
Numbers
String Operations

Session 3
List,Tuple
Dictionary
Other Core Types

Session 4
Statements and Syntax
Assignments, Expressions and prints
If tests and Syntax Rules
While and For Loops

EISYSTEMS SERVICES
FF-113, Express Greens Plaza, Sector 1
Vaishali, Ghaziabad (Delhi NCR), Uttar Pradesh -201010 - India
P: +91 9773976977 | E: info@eisystems.in | W: www.eisystems.in
Session 5
File Operations
Opening a file
Using Files
Other File tools
Python Check If File or Directory Exists
Python COPY and PASTE File using shutil.copy()
Python Rename File and Directory using os.rename()
Python ZIP file with Example

Session 6
Functions
Function Definition and Call
Function Scope
Function Arguments

Session 7
Modules and Packages
Module Creations and Usage
Types of package in Python
Package creation
Importing packages

Session 8
Classes
Classes and Instances
Classes method calls
Class methods
Instance methods
Static methods

Session 9
OOPs concept
Abstraction
Encapsulation
Polymorphism
Types of Polymorphism
Inheritance
Types of inheritance

EISYSTEMS SERVICES
FF-113, Express Greens Plaza, Sector 1
Vaishali, Ghaziabad (Delhi NCR), Uttar Pradesh -201010 - India
P: +91 9773976977 | E: info@eisystems.in | W: www.eisystems.in
Session 10
Exception Handling
Default Exception Handler
Except Exceptions
Raise an exception
User defined exception

Session 11
Accessing Internet Data with Python
Manipulating XML with Python

Project & Activities

Installing different libraries of Python
Random Password Generator
QR Code Generator
Alphabetical Letter Pattern creation
Sending Email or Whatsapp messages via Python code
Speech Recognition
Major Project Discussion

Machine Learning Module

Session 1
Introduction to Machine Learning
What is Machine Learning?
Types of Machine Learning
How Machine Learning works?
Usage of Machine Learning.

Session 2
Function & Packages
Function
Packages
Installing different packages of Python

Session 3
Working on Various Python Libraries
NumPy
Pandas
Matplotlib
Scikit-learn

EISYSTEMS SERVICES
FF-113, Express Greens Plaza, Sector 1
Vaishali, Ghaziabad (Delhi NCR), Uttar Pradesh -201010 - India
P: +91 9773976977 | E: info@eisystems.in | W: www.eisystems.in
Session 4
Working on NumPy
Introduction to Numpy Array
Creating arrays of different Dimensions
Indexing
Data processing using Array

Session 5
Data Analysis using Pandas
Introduction to Pandas
Data Type of Pandas
Creating Dataframe using Pandas
Importing Dataset using Pandas
Various operations on data using Pandas tools

Session 6
Data visualization using Matplotlib
Plotting data using Matplotlib library
Using various tools of Matplotlib
Types of Graph
Implementation of different types of Graphs

Session 7
Applying Algorithms on Dataset using Scikit-learn
Data splitting
Using different algorithms for dataset
Prediction
Score check
K-Fold Technique
Cross Validation
Hyper Parameter Tuning

Session 8
Machine Learning Algorithms
Regression analysis
Simple linear regression
Multi linear regression
Classification
Binary class classification
Multi class classification
Support Vector Machine
KNN algorithm
Decision Tree

EISYSTEMS SERVICES
FF-113, Express Greens Plaza, Sector 1
Vaishali, Ghaziabad (Delhi NCR), Uttar Pradesh -201010 - India
P: +91 9773976977 | E: info@eisystems.in | W: www.eisystems.in
Projects
Salary Prediction Project
Gender Classification Project
House Price Prediction Project
Iris Flower Species Classification Project
Digit Recognition Project
Survival Prediction on Titanic Project
Object Recognition Project
Insurance Purchase Prediction Project

Major Datasets Covered

IRIS Dataset
BMI Male Female Dataset
MNIST Dataset
DIGIT Dataset
Titanic Dataset
CIFAR Dataset

Statistics & Data Visualization Module

Session 1
Introduction to Statistics
Measures of Central Tendency
Understanding the spread of data
Data Distribution
Introduction to Probability
Probabilities of Discreet and Continuous Variables
Normal Distribution
Introduction to Inferential Statistics
Understanding the concept of Correlation

Session 2
Introduction to Tableau
Connecting to data
Loading Data & Workbooks
Navigating Tableau
Dimensions & Measures
Starting with Visualization
Working on different datasets
Project on Data Visualization

DISCUSSION ON FINAL PROJECT

Final project & report of the same will be made by participant(s) only.

EISYSTEMS SERVICES
FF-113, Express Greens Plaza, Sector 1
Vaishali, Ghaziabad (Delhi NCR), Uttar Pradesh -201010 - India
P: +91 9773976977 | E: info@eisystems.in | W: www.eisystems.in
Disclaimer
Please makesure that IIT (BHU) Varanasi is nowhere charging any amount from any participant and this training/internship will be organised
by Eisystems Services in association with Technex, an annual techno-management festival of IIT BHU Varanasi, it is to note that Technex is
only responsible for providing certification to attending students and rest of the matters like marketing, operations, publicity, scheduling,
payment processing, content development etc. will be taken care by Eisystems Services. Fees once paid is non refundable however for all
other terms and conditions visit www.eisystems.in/onlinetraining/tnc.php

All of the matters/disputes related to internship/training needs to be addressed to EISystems Services only. See our terms and co nditions on
www.eisystems.in/tnc.php and fees once paid is non refundable and non transferrable. Company reserves fuil right to wi thdraw any offer
anytime without any prior notification, Also it is important to understand that center of internship in Varanasi will not be IIT (BHU) Varanasi
and it will be at some other place in Varanasi itself.

Trainer may modify order of session delivery or even add or delete session(s) on his/her will considering response from batch or in benefits of
the participants, a session does not typically means that it will be delivered in one day/delivery session , it may take more or less than one
delivery session/day to complete the same. All of the trademarks / wordmarks used in this document are the properties of their respective
owners and in case of any dispute the owner may send an email to eisystemsonline@gmail.com and we will remove their trademark /
wordmark.

EISYSTEMS SERVICES
FF-113, Express Greens Plaza, Sector 1
Vaishali, Ghaziabad (Delhi NCR), Uttar Pradesh -201010 - India
P: +91 9773976977 | E: info@eisystems.in | W: www.eisystems.in