Python Program with Analytics

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Python Program with
Analytics

Python Program with Analytics course is aimed at guiding participants on how to program with Python and kick-start the path towards Data Science. In this course, participants will learn to analyze data, create interactive and useful data visualizations. Additionally, this course curriculum empowers participants on learning to use powerful Machine Learning algorithms as an essential foundation for Data Science.
Learn popular Python toolkits such as pandas, matplotlib, scikit-learn, nltk to convert statistical data into readable insights, upscale Web Development and project deployment skills with Django framework. Master skills with our comprehensive course & real lab experience and get a globally recognized certification.

Mode: IN-class and Online
Project and Internships for Students.

Home > Courses > Python Program with Analytics

Python Program with Analytics

Python Program with Analytics course is aimed at guiding participants on how to program with Python and kick-start the path towards Data Science. In this course, participants will learn to analyze data, create interactive and useful data visualizations. Additionally, this course curriculum empowers participants on learning to use powerful Machine Learning algorithms as an essential foundation for Data Science.
Learn popular Python toolkits such as pandas, matplotlib, scikit-learn, nltk to convert statistical data into readable insights, upscale Web Development and project deployment skills with Django framework. Master skills with our comprehensive course & real lab experience and get a globally recognized certification.

Mode: IN-class and Online
Project and Internships for Students.

Key Highlights

Mini projects.
100% hands-on practical training.
Coding exercises.
Scenario-based learning.
Experienced mentor with more than 10 years in the industry.
Certification guidance and awareness.
Career support.

Course Includes

Python Programming

Introduction to python
• Python History
• Python History
• Python Applications

Installation Setup and Testing
• Python Install
• Python Path
• Python Example
• Execute Python

Datatypes, declarations and comments
• Python Variables
• Python Data Types
• Python Keywords
• Python Literals
• Python Comments

Operators in Python
• Arithmetical Operators
• Relational Operators
• Logical Operators
• Assignment operators

Conditional Statements
• Simple IF
• If and Else
• Nested If

Python Loops
• Python for loop
• Python while loop
• Python break
• Python continue
• Python pass

Python String handling and functions
• capitalize()
• center()
• count()
• endswith()
• format()
• rjust()
• ljust()
• len()
• replace()
• upper()
• lower()
• split()

Number functions
• abs(), ceil(), floor(), cmp(), exp()
• log(), log10(), min(), max(), power()
• round(), sqrt()

Date Functions
• import datetime module
• now()
• datetime()
• import calendar
• calender.month()
• calendar.prcal(2019)
• import time
• time.time() and more functions followed

Python Collections
• Python Lists
• Python Tuples
• Python Sets
• Python Dictionary

Python user define Functions
• Using def keyword to define function
• Function with return keyword
• Function with argument
• Python Lambda Functions

Advance Python Programming

File Handling in Python
• Python Files I/O
• create file using “r”, “w” ,”a” modes
• Python Modules

Python Exceptions
• Types of Exceptions in python
• using try, except keyword
• else usage in exception handling
• usage of the final keyword
• user-defined exceptions

Python OOPs

Python OOPs
• Python OOPs Concepts
• Python Class designing
• Object creation and handling class properties through the object
• Python Constructors and overloading of a constructor
• Method overloading in class
• Python Inheritance with single multi-level and Hierarchy
• Python interfaces and implementation Python with database
• configure database
• connecting to Oracle
• connecting to Mysql
• adding mandatory plugins
• CRUD operations in Python with Database

Python OS module
• create folder
• remove folder
• rename file
• host os command

Python network concept
• Client socket
• Server socket

Threading program in Python
• What is threading
• Activation of thread
• Life cycle of thread
• Thread processing in python

Django for Web Development with Python

Django Introduction
• Django Features
• Rapid Development
• Secure
• Scalable
• Fully loaded
• Versatile
• Open Source
• Vast and Supported Community

Django Installation
• Install Django using pip command
• Verify installation using import django over shell

Django Project
• Creation of django project
• Locate project
• Run django project
• Apache Configuration
• Virtual Environment Setup
• Admin Interface
• Django App

Django MVT
• Django Model
• Django View
• Django Template
• URL Mapping
• Static Files Handling

Form handling
• Model Forms
• Django Forms
• Form Validation
• File Upload Database with Django
• Database Connectivity
• Database Migrations
• Django Middleware
• Request and Response
• Django Exceptions

Session Tracking
• Django Session
• Django Cookie

External File Output creation using Django
• Django CSV Output
• Django PDF Output
• Django and Bootstrap

Additional Features of Django
• Deploy on Github
• Django Mail Setup
• Django Default CRUD
• CRUD Application

Flask
Statistical programming with Python Numpy, Pandas, Scikit and Dataframes
Introduction to Machine Learning

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Testimonials

I took the training for python at skill sigma. The training was really good with experienced faculty. Had a great learning experience at skill sigma.

– Mamatha Reddy Annepu

I have attended python and machine learning courses in Skill Sigma. It is a very good experience.The faculty is awesome. She used to explain each and every concept clearly. Overall it is a great experience.

– Sai Madhurya

I have a good experience in Skills sigma with Python batch.I learn how to design any website using python django. Thank you.

– Naveen Intel

It’s very good to learn in Skill sigma. I came from Coimbatore to Hyderabad for learning Python & Angular. I am really very happy & understood the concepts very well. Swetha madam teaching is awesome.

– Santosh STR

Additional information

Mode of Training

In-Class, Self Paced

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