Data Science Course with Python Programming

Definition of Python Python, its History and Growing Popularity Features of Python & Functionality Python 2 and Python 3 Python Environment for Development Setup Steps to Python Installation IDEs: IDLE, Enthought Canopy and Pscharm Running a Python Script How to write a Python Program? Python Scripts on UNIX Python Scripts on Windows Install python on Ubuntu-based Machines Interactive Shell Programming Identifiers and Keywords of Python Dent in Python Comments and Writing for Screen Flow Control and Command Line Arguments Input of user Branching Programs Control Structures Iteration

Understanding Python Data Types
Core Objects of Python
Functions, Scoping & Abstraction
Built-in Functions Definition
Global Variables
String Variables
Numeric Types
Boolean Variables
Structured Types
Mutability & Higher-Order Functions
Object and None Object of Boolean
Object and Operations of Tuple
Dictionary Object and Operations
Types of Variables and Dictionary
Variables Comparison
Methods of Dictionary and Manipulations
Operators
Logical Operators
Data Structures and Data Processing
Arithmetic Operations & Numeric Values
Operators and Keywords for Sequences

What are Conditional Statements?
Continue Statements and Break Statements
Defining if & else block using Indentations
Python Loops
Demo-Create, While, Nested Loops
Controlling Loops
Objects: Sequence and Iterable
UDF Functions
Objectives & Types of Functions
UDF Functions & their Parameters
Named and unnamed Parameters
Creating and Calling Functions
Python user Defined Functions
Functions of Python packages
Anonymous Lambda Function
String Object Functions
Functions: List and Tuple Object
Functions: Dictionary Object
Tuple Unpacking

Python Inbuilt Modules
Types of Modules
Random, os, time, sys, date time, zip modules
Creating Python User Defined Modules
Studying Python path
Python Packages
Initialization of init File and Package
File Handling with Python
Processing Text Files using Python
Appending File Objects & Read/Write
Test Operations & os.path

Object-Oriented Programming
Classes, Objects, and Initializers
Built-In Class Attributes
Destroying Objects
Studying Methods
Instance, Class, Static, Private methods, and Inheritance
What is Data Hiding?
Reloading modules and Module Aliases
Handling of Python Exceptions
Standard Exception Hierarchy
.. except…else & .. finally…clause
Self-Exception Class
User-defined Exceptions

Debugging Errors & Unit Tests
Skeleton of Project
Creation and Use of Skeleton
Using pdb debugger
How to use Pycharm Debugger?
Asserting Statement for Debugging
How to use UnitTest Framework for Testing?
Black Box and Glass Box
Regular Expressions
Match Function VS Search Function
Match and Search, Compile and Match
Search and Replace
Extended Regular Expressions
What are Wildcard Characters?

Creating Database using SQLite
CRUD Operations
Python MySQL Database Access
Operations
Create, Insert, Read, Update, Delete
DML and DDL
Performing the Transactions
Handling the Database Errors
Examining Disconnecting Database

Learning of machine with Python
What is Machine Learning?
Implementing Machine Learning
Algorithms
Studying NumPy and Scipy
Study of Supervised or Unsupervised Learning & Classification
Classification and k-Nearest Neighbours (kNN)
Building & Testing Classifier
Performance of the Classifier
Clustering Problem & k-Means Clustering

What is Panda in Python?
Creating and Manipulating Data of pandas
Creating the Data Frames
Grouping, Sorting, Plotting Data
Understanding Scikit-Learn
Scikit-Learn Algorithms
Learning Parallelism
Defining Multithreading in Python
Creating threads with Parameters
Demon & Non-Demon Processes
Multiprocessing in Python

Defining terminal apps
Why to write terminal apps?
Greeter – A simple terminal app
Screen Clearing
Exercises
A Persistent Title Bar
The sleep() function
A slowly disappearing title bar
Reducing repeated code
Building Greeter
Basic Pickling Exercises
Pickling in Greeter
Overall Exercises
Overall Challenges

CGI: Introduction & Architecture
CGI Environment Variable
GET & POST Methods
Cookies & File Upload
Database: Introduction & Connections
How to execute Queries?
Transactions & Error Handling
Networking: Socket & Socket Module
Methods: Client & Server
Internet Modules
Res and Python
Plotting using PyLab

Defining Thread
Starting a Thread
Defining Threading Module
How to Synchronize Threads
Threads & Processes
Chat Application
Multithreaded Priority Queue
Security: Encryption & Decryption
Classical Cyphers
GUI Programming Essentials
Drawing Using Turtle
Tkinter Programming & Widgets
Python & other GUIs

Python is one of the best programming languages and our python training program will give you hands-on experience in mastering all basic as well as advanced concepts of Python programming such as MapReduce, machine learning, Scikit and scipy python packages and more. Our curriculum is designed by industry experts and you will be working on real time python projects as well as assignments. Upon course completion, you will be given the course completion certificate and you will be confident enough to apply for the best jobs in the industry with top salary packages.

You can attend a demo session to understand the subject, see the quality of training and interact with the trainer regarding queries to decide your career path. We at Ad2Brand ensure to give you the best training experience with top content and trainers, we also prepare you for interviews and resume preparation and equip you with the best skills in the subject of learning. However, getting the job will depend upon your presentation of skills at the time of interview.

Doubt clearance and resolution of queries is given utmost importance at Ad2Brand. You can raise n number of queries until you get a clear answers for your questions. Our trainers make sure to give individual attention to all students and one-on-one sessions can be arranged with trainers during as well as after completion of the training to get help on the needed topic. Also we make sure to maintain a limited number of students per class to maintain the quality of training and knowledge imparted.

We have reliable and knowledgeable trainers who are the best in the industry qualified with indepth skills, certifications and experience, conducting the python training program.

The python training duration is of 2 months.

Upon dedicatedly learning all the course material and hands-on practice, you will gain expertise and knowledge in advanced concepts of Python Automation as well as Data Science with Python and feel confident enough to crack python interviews to get expected jobs in data science industry.