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Big Data and Analytics
25 Hours
25 Hours
2 Years
Python Training
Date : 20 December 2017
Time : 1:30 AM
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Instructor-LedSelf-Paced





Python training at SMC helps you gain expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers by transforming your career into Data Scientist role. Our team of well-qualified and certified trainers would be demonstrating numerous small examples which will help you understand and acquire both practial and theoretical knowledge in python to solve real-world problems. Our curriculum is an ideal way to begin, whether you’re new to programming or a professional developer

Who all Can Benefit from Python Training
  • Programmers, Developers, Technical Leads, Architects
  • Data Scientists & Data Analyst
  • Business Analysts
  • Business Intelligence Manager
  • Statisticians and Analysts
  • Project Managers

Detailed Course Content for Python Training

1. Introduction to Python

  • Origin and Goals of Python
  • Overview of Python Features
  • Getting and Installing Python
  • Accessing Python Documentation: Python Enhancement
  • Proposals (PEP)
  • Python’s Strengths
  • Using Python with Other Programming Languages

2. Language Fundamentals

  • Python’s Lexical Analyzer
  • Using Whitespace to Structure Programs
  • Identifiers and Keywords
  • Python’s Execution Model
  • Naming Objects and Binding
  • Python’s Data Model
  • Immutable and Mutable Objects
  • Values
  • Types
  • Creating and Using Variables

3. Expressions

  • Unary and Binary Arithmetic Operations
  • Comparison and Boolean Operations
  • Conditional Expressions
  • Lambda Expressions
  • Order of Operations and Operator Evaluation
  • Expression Lists
  • Assignment Operations

4. Using the String Object

  • Using ASCII and Unicode Strings
  • Manipulating Strings with String Methods
  • Using the format() Function to Format Strings
  • Using Escape Sequences
  • Working with Raw Strings

5. Arrays, Collections and Dictionaries

  • Sequenced Data Structures
  • Arrays
  • Collections
  • Dictionaries
  • Creating and Accessing Lists
  • Manipulating Lists
  • Creating and Accessing Tuples
  • Understanding the Differences Between Lists and Tuples
  • Using Dictionaries to Create Data Records
  • Manipulating Dictionaries Using Dictionary Methods
  • Creating Sets
  • Performing Set Operations
  • Union
  • Intersect
  • Difference
  • Differences Between Sets and Dictionaries
  • Using Generators to Return Iterators

6. Object Oriented Programming Concepts

  • The Object Oriented Programming Paradigm
  • Encapsulating Information
  • Classes vs. Instances of Objects
  • Built-in Class Attributes
  • Implementing Class Inheritance
  • Using Objects in Code

6. Data Management

  • Embedding SQLite Databases in Applications
  • Best Practices for Data Management
  • Storing Data in Local Databases
  • Discussing and Understanding the DB API
  • Understanding and Using Common SQL Statements
  • Connecting to a SQLite Database
  • Using Cursors to interact with Data from a Database
  • Implementing Error Handling with Database Connections

7. Using Python

  • Executing Python Programs from the Command Line
  • Python Command Line Options
  • Environment Variables that Influence Python
  • Creating Python GUI Applications
  • Standalone vs. Web-Enabled Interfaces
  • The Python Standard Library

8. Flow Control Constructs

  • if/elif/else Statements
  • Creating Loops with while and for
  • Understanding Iterators
  • Returning Values with return Statements
  • Loop Modification with break and continue
  • Returning Generator Iterators with the yield Statement
  • Retrieving Iterators with next()

9. Exception Handling

  • Types of Python Exceptions
  • Handling Exceptions with try/except/finally
  • Triggering Exceptions with raise
  • Defining New Exception Types
  • Implementing Exception Handling in Functions, Methods and Classes
  • Working with the Regular Expression Error Exception

10. Organizing Code

  • Defining Functions
  • Calling Functions
  • Creating Anonymous Functions
  • Altering Function Functionality with Decorator Functions
  • Creating Classes with the class Statement
  • Creating Objects as Class Instances
  • Using Preexisting Classes as the Basis of a New Class
  • Using Modules to Group Related Functions, Classes and Variables
  • Locating and Importing Modules
  • Using Packages to Group Modules Together

11. Working with Arguments

  • Passing Arguments to Functions by Reference and by Value
  • Defining Functions with Required Arguments
  • Defining Functions with Default Arguments
  • Defining Flexible Functions that Take Variable Length Arguments

12. Regular Expressions

  • Regular Expression Syntax
  • Using Regular Expressions in Python
  • Altering Regular Expression Processing with Regular Expression Modifiers
  • Using Regular Expression Operators
  • Scanning Through Strings Using the search() and match() Methods
  • Creating Reusable Patterns by Using the compile() Method

13. I/O Handling

  • Sending Output to STDOUT Using the print() Method
  • Reading Input with the input() Method
  • Creating File Objects with the open() Method
  • Controlling File Access Modes
  • Working with File Object Attributes
  • Closing File Objects with the close() Method
  • Reading and Writing to File Objects with read() and write()
  • Using File Processing Functions from the OS Module

Certification Process

  • Once you are successfully through the project, you will be awarded with SM Consultant's Python Training Completion Certificate.
  • SM Consultant certification has industry recognition and we are the preferred training partner for many organization's.

Frequently asked questions (FAQ'S)

You will never lose any lecture. You can choose either of the two options:
  • View the recorded session of the class available in your LMS.
  • You can attend the missed session, in any other live batch.
SM Consultant is committed to provide you an awesome learning experience through world-class content and best-in-class instructors for Python Training. We will create an ecosystem through this training, that will enable you to convert opportunities into job offers by presenting your skills at the time of an interview. We can assist you in resume building and also share important interview questions once you are done with the training. However, please understand that we are not into job placements.
We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrolment is not possible. However, you can go through the sample class recording or scheduled demo sessions and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in the class.
At SM Consultant, we pride ourselves on hiring and retaining the most qualified and experienced instructors in the industry. All of our instructors are certified professionals in their respective subjects. Our instructors typically have 15 or more years of real-world experience working for leading companies, allowing them to apply current trends and relevant examples to help students relate to the course material and retain more information.
You can Call us at our US Number +1.650.585.2312 OR India Number +91.8019490782 OR Email us at contact@smconsultant.com . We shall be happy to assist you.

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Robert rated Python Training : 5 Stars out of 5 Stars on Dec 26, 2012
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Python Training

Comments: Training material and trainer quality was very good. But i feel more stress should be given on examples. More simple and small examples should be covered in the training sessions. Overall i will rate it as \'Excellent\'.
Thanks, Robert

service 0.3

5.0 5.0 1 1 Training material and trainer quality was very good. But i feel more stress should be given on examples. More simple and small examples should be covered in the training sessions. Python Training
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