Course Description

Python Course Certification training

Python is a popular high-level, open source programming language with a wide range of applications in automation, big data, Data Science, Data Analytics development of games and web applications. It is a flexible, powerful object-oriented and interpreted language. Python is considered to be a programming language with the highest number of job opportunities
Researchers have named Python ‘the next big thing’ as it is being preferred by many young and experienced developers and is a highly paid skill among all the programming languages in the IT space
ExcelR offers a comprehensive Python Course training that will help you master fundamentals, advanced theoretical concepts like writing scripts, sequence and file operations in Python while getting hands-on practical experience with the functional applications as the training is blended with hands on assignments and live projects

With ExcelR’S Python Course You Will:

ExcelR’s Python course Training provides you with concepts of Python programming language ranging from beginners, intermediate and advanced levels and our Python Training curriculum is considered to be the best in the industry
With ExcelR’s Jumbo pass one can attend one limited number of classroom and instructor led-online sessions for one year
Life Access to recorded Python tutorials and recordings of the live instructor led online sessions
Faculty is our strength. All our Python trainers carry 10+ years industry rich experience, who have a passion for training and considered to be the best in the industry
All the sessions are blended with hands-on Python course assignments to ensure that participants gain practical experience towards Python programming
You will be market ready and be able to crack interviews for Python programmer jobs subsequent to the Python training
Understand the essential concepts of Python programming such as data types, Data Structures, tuples, lists, dicts, basic operators and functions, GUIs, Multi-threading, Exceptions, Regular Expressions, Networking, Lambda expressions and many more
Gain an in-depth understanding of Python OOPS concepts, Modules
Extensive coverage of Django Framework
Database Programming and connectivity to various Data Sources
80+ assignments and 3 real time projects to ensure hands on experience

Python Tutorials:

ExcelR offers python tutorial for beginners to advanced level, high quality self paced e-learning videos to learn at your own pace and convenience. Python online course is recorded by seasoned Python trainers with extensive training experience and considered to be the best in the industry. 80+ assignments and two Python projects will be provided alongside the Python Tutorial videos to ensure hands-on experience. Participants can watch the Python tutorials on our state-of-the-art Learning Management System (LMS) platform for a period of one year.

Who Should Do The Python Course?

The Python course is well suited for the participants at all levels of experience, by creating an increase in demand for skilled data scientists. This course is best suited for

Freshers who wants to master Python programming
Software Engineers
Big Data Professionals
Web Developers
Software programmers
Research Analysts
Data Scientists
IT Developers
Those who are interested in building their career in Python

Why ExcelR?

ExcelR helps individuals and organizations to empower by providing courses based on practical knowledge and theoretical concepts, by helping them advance their careers and create sustainable growth in their companies.

Faculty is our forte. All our Python trainers carry extensive experience, has passion for training and considered to be the best in the industry
Placement assistance with ExcelR’s dedicated placement cell
Internship to work on real time projects
80+ assignments and 3 live projects to ensure hands-on Python programming experience
Individual attention and post training support
Doubt clarification sessions through Whatsapp
Access to WhatsApp community of Python students and faculty
LMS access with E-learning and recorded sessions
Jumbo Pass where participants can attend unlimited number of batches for 1 year

Interview Preparation Sessions

Participants who have completed the Data Science course training and the projects will be put under our Placement Incubation Program. As part of this program, participants will undergo a thorough interview preparation process on Data Science. A huge repository of Data Science Interview questions with answers will be provided for the participants to prepare. A dedicated Data Science Subject Matter Expert (SME) will help in resume building, conduct mock interviews and evaluate each participant's knowledge, expertise and provide feedback. Our SMEs will do the necessary handholding on interview preparation process till the time the participant is placed. Guidance is also provided on Linkedin profile building and tricks of the trade to improve the marketability of the resume. - ExcelR Management

Course Curriculum

PYTHON

Module 1 - Introduction

Python Introduction - Programming Cycle of Python
Python IDE

Module 2 - Variables

Variables
Data type
Number
string
List
Tuple
Dictionary

Module 3 - Operator

Operator -Arithmetic
comparison
Assignment
Logical
Bitwise operator

Module 4 - Decision making - Loops

While loop, if loop and nested loop
Number type conversion - int(), long(). Float ()
Mathematical functions , Random function , Trigonometric function

Module 5 - String

Strings- Escape char, String special Operator , String formatting Operator
Build in string methods - center(), count()decode(), encode()

Module 6 - List

Python List - Accessing values in list, Delete list elements , Indexing slicing & Matrices
Built in Function - cmp(), len(), min(), max()

Module 7 - Tuples

Tuples - Accessing values in Tuples, Delete Tuples elements , Indexing slicing & Matrices
Built in tuples functions - cmp(), len ()

Module 8 - Dictionary

Dictionary - Accessing values from dictionary, Deleting and updating elements in Dict.
Properties of Dist. , Built in Dist functions & Methods.
Date & time -Time Tuple , calendar module and time module

Module 9 - Function

Function - Define function , Calling function
pass by reference as value , Function arguments , Anonymous functions , return statements
Scope of variables - local & global

Module 10 - Modules

Import statements , Locating modules - current directory , Pythonpath
Dir() function , global and location functions and reload () functions .
Packages in Python

Module 11 - Files

Files in Python- Reading keyboard input , input function
Opening and closing files . Syntax and list of modes
Files object attribute- open , close . Reading and writing files , file Position.
Renaming and deleting files