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Python Online Training ( L081 )

4.5 + (25,859) Students Ratings

Learn Python Online Training from Python experts. This python training course will help you master the important concepts of python programming language concepts such as data and file operations, OOPs concepts in python and packages like SciPy, Matplotlib, Pandas, Numpy, etc In this course, you will learn to write Python code for Big data systems like Hadoop and spark. As a part of this Python certification course, you will learn all these concepts with real time projects and case studies.

Course Price :

₹18,418
₹20,464
10%
off
Available

Live Instructor

Self Paced

Think Bigger Advantage

Live Online Classes

All our Classes are Live Instrucotor led online sessions. You can attend at the comfort of your place and Login to our Classes.

LMS (Learning Management System)

LMS will help you to organize your all training material, session videos and review at later date. You can access LMS anytime and review your completed classes. If you miss any class, then you can review the missed class in LMS.

Flexible Schedule

For some reasons, you can not attend the Classes, we can enroll you in the next possible classes. we assure flexibility in class schdules.

Lifetime Access to Learning Platform

You will get Lifetime free access to LMS(Learning Mangement System) You can access all Videos, class room assignments, quizzes, Projects for Life time. You will also get free video sessions for Life time.

Highest Completion Rate

We have the highest course completion rate in the Industry. If you miss a class, you can opt for the missed class in different batch. We assure you the best training possible for you to succeed.

Certificate of Completion

We provide you the Industry recognized Certification of Course completion This certificate will sometimes helps you to get reimbursement of training expenses by your company.

Training Schedule
Batch Start Date Days of Training Weekday/ Weekend Timings
27-Mar-2020 Available SAT & SUN (4 WEEKS) Weekend Batch 09:30 PM - 12:30 PM (EST)
 
 
 
 
 

Course Curriculum

Python is an object-oriented, interpreted, high-level programming language with dynamic semantic rules. Its high-level built-in data structures, integration of dynamic binding with dynamic typing makes it really desirable for Rapid Application Development, in addition to this it can be used as a scripting language to associate existing components together.

Python Learning is so simple that the first time programming language learners can go for this. Its simple syntaxes and easy understandability make the python training simple and efficient. Python also supports packages and modules, which emboldens system modularity and code reusability.

Goal: Give a brief idea of what exactly Python is all about and introduction on the python basics

Learning Objectives: At the end of this Introduction to python module, you will be able to

  • Define Python
  • Understand the Programming need
  • Understand why to choose Python over other languages
  • Setup Python environment process
  • Understand Various Python concepts such as Variables, Data Types Operators, Conditional Statements and Loops
  • Illustrate String formatting
  • Understand Command Line Parameters 
  • Understand Flow control

Topics:

  • Python overview
  • Companies using Python
  • Applications in which python is used
  • Discuss Python Scripts on UNIX/Windows
  • Variables
  • Operands and Expressions
  • Conditional Statements
  • Loops
  • Command Line Arguments
  • Writing to the screen

 

Hands-on/Demo:

  • Creating the “Hello World” code
  • Variables
  • Demonstrating Conditional Statements and Loops

Goal: Learn different types of sequence structures and their related operations. Also learn different ways of opening, reading, and writing to files. 

Learning Objectives: At the end of this Sequence and File Operations Module, you should be able to:

  • Explain Operations performed on Files
  • Understand and Execute Sequence Operations
  • Understand Types of Sequences (Lists, Tuples, Strings, Sets, Dictionaries) in Python: 

Topics:

  • Python files I/O Functions
  • Lists and related operations
  • Tuples and related operations
  • Strings and related operations
  • Sets and related operations
  • Dictionaries and related operations

Hands-on/Demo:

  • Tuple - properties, related operations, 
  • Properties and related operations of List
  • Properties and related operations of Dictionaries

Goal: In this module, you will understand how to create user-defined functions and different OOPS Concepts like Inheritance, Polymorphism, Overloading etc. 

Learning Objectives: At the end of these Functions and OOPS Module, you should be able to:

  • Define and call Functions
  • Understand why the return statement is used
  • Understand and execute Object-Oriented Concepts

Topics:

  • Functions
  • Function Parameters
  • Global variables
  • Variable scope and Returning Values
  • Functions of Lambda
  • Object-Oriented Concepts

Hands-on/Demo:

  • Functions - syntax, arguments, keyword arguments, return values
  • Features, syntax, and options of Lamda

Goal: In this module, you will understand how to create generic python scripts. You will also understand how to address errors/exceptions in code and how to extract/filter content using regex. 

Learning Objectives: At the end of this EH Module, you should be able to:

  • Understand how to Use Standard Libraries and Modules
  • Understand how to handle Exceptions
  • Create User- Defined Exceptions

Topics:

  • Standard Libraries
  • Different Modules Used in Python
  • The Import statements
  • Module search path
  • Package installation ways
  • Errors and Handling multiple exceptions

Hands-on/Demo:

  • Errors and exceptions - types of issues, remediation
  • Packages and module -import options, sys path

Goal: This module deals with the basics of statistics, measure types, probability distributions, and the supporting libraries in Python

Learning Objectives: At the end of this Introduction of NumPy and Pandas module, you should be able to 

  • Create arrays using NumPy
  • Use NumPy to perform various mathematical operations on arrays
  • Read and also write data from text/CSV files into arrays and from arrays to text/CSV files
  • Understand Pandas and employ it for manipulation of data
  • Use the data structures that are available in Pandas
  • Read data between files and programs
  • Write data between files and programs

Topics:

  • NumPy - arrays
  • Operations on arrays
  • Indexing, slicing and iterating
  • Reading and writing arrays on files
  • Data structures & index operations of Pandas
  • Reading and also Writing data from Excel/CSV formats into Pandas

Hands-on/Demo:

  • NumPy library ( Installation process, NumPy array creation, operations that are performed on NumPy array)
  • Pandas library (Installation process, series and data frames creation, Importing and exporting data)

Goal: In this module, you will understand in detail about data visualization. 

Learning Objectives: At the end of this Data visualization module, you should be able to:

  • Create simple plots like scatter plot, bar graph, histogram, pie chart using Matplotlib
  • Add different styles to the plot
  • Use the different forms of plots that are available in Matplotlib

Topics:

  • matplotlib library
  • Grids, axes, plots
  • Markers, colors, fonts and styling
  • Types of plots
  • Contour plots

Goal: This modue deals in detail about Data Manipulation. 

Learning Objectives: At the end of this Data Manipulation module, you should be able to:

  • Perform manipulation of functions on Data objects
  • Perform Concatenation and Merging on DataFrames
  • Perform Joining on DataFrames
  • Iterate through DataFrames
  • Extract insights of DataSet

Topics:

  • Basic Functionalities of a data object
  • Merging and concatenation of Data objects
  • Types of Joins on data objects
  • Exploring and Analyzing a Dataset

 

 

Goal: In this module, you will understand the programming of GUI programming by using ipywidgets package. 

Learning Objectives: After completing this GUI Programming module, you should be able to:

  • Understand ipywidgets package
  • Understand different widgets like Numeric, Boolean, Selection, String and Container Widgets
  • Create an application using ipywidgets package

Topics:

  • Ipywidgets package
  • Numeric Widgets
  • Boolean Widgets
  • Selection Widgets
  • String Widgets
  • Date Picker
  • Color Picker
  • Container Widgets
  • Creating a GUI Application

Hands-on/Demo:

  • Create GUI

Goal: In this self-paced module, you will understand how to connect your server with MySQL DB. In addition, you will understand about socket programming

Learning Objectives: After completing this Network Programming and Multi-threading module, you should be able to:

  • Understand the concept of Database
  • Access MySQL DB
  • Create a socket for sending short messages
  • Learn Multithreading concepts

Topics:

  • MySQL DB access
  • Network programming
  • Multithreading

Hands-on/Demo:

  • Database, CRUD, Network Creation
  • Multithreading

Goal: In this self paced module, you will be able to design Python Applications.   

Learning Objectives: At the end of this self paced module, you should be able to:

  • Design a Web Map using Folium and Pandas
  • Represent information from the Dataset with the help of plots. 

Topics:

  • Use of Folium and Pandas Library
  • Flowchart of Web Map application
  • Web Map development using Folium and Pandas
  • Reading information from Dataset 
  • Representing Dataset using Plots

Goal: In this self paced module, you will learn how to design Python Applications. 

Learning Objectives: At the end of this computer vision using OpenCV and Visualization  module, you should be able to:

  • Perform Web Scraping by using Python
  • Visualize Data on the browser using Bokeh
  • Use OpenCV  for creating a motion detection software

Topics:

  • Beautiful Soup and Requests Library
  • Hyperlinks scrapping from a webpage by using Beautiful Soup & Requests
  • Plotting charts and Scatterplots using Bokeh
  • Image Editing and Face detection using OpenCV
  • Motion Detection and Capturing Video
Like the course? Enroll Now

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Course Details

After completion of all the modules in this Python course, you will be able to 

  • Write python scripts
  • Programmatically download and analyse data
  • Learn techniques to deal with different types of data such as ordinal, categorical, encoding
  • Learn data visualization
  • Master the art of presenting step by step data analysis by using IPython notebooks

The Python online Course is best opt for following professionals

  • Programmers, 
  • Developers, 
  • Technical Leads, 
  • Architects, 
  • Freshers
  • Data Scientists, 
  • Data Analysts
  • Statisticians and 
  • Business Analysts
  • Project Managers and Business Intelligence Managers

There are prerequisites for this course. However, a basic understanding of Computer programming language is beneficial.

Python Online Training Ceritficate

Python Online Training Reviews

25,859

Total number of reviews

4.5

Aggregate review score

80%

Course completion rate

Python Online Training Features

Live Online Classes

All our Classes are Live Instructor led online sessions. You can attend at the comfort of your place and Login to our Classes.

LMS (Learning Management System)

LMS will help you to organize your all training material, session videos and review at later date. You can access LMS anytime and review your completed classes. If you miss any class, then you can review the missed class in LMS.

Flexible Schedule

For some reasons, you can not attend the Classes, we can enroll you in the next possible classes. we assure flexibility in class schedules.

Lifetime Access to Learning Platform

You will get Lifetime free access to LMS(Learning Mangement System) You can access all Videos, class room assignments, quizzes, Projects for Life time. You will also get free video sessions for Life time.

Highest Course Completion Rate

We have the highest course completion rate in the Industry. If you miss a class, you can opt for the missed class in different batch. We assure you the best training possible for you to succeed.

Certificate of completion

We provide you the Industry recognized Certification of Course completion This certificate will sometimes helps you to get reimbursement of training expenses by your company.

Like the course? Enroll Now

Structure your learning and get a certificate to prove it.

Python Online Training FAQs

You will never miss a class at IQ Online Training! You can choose either of the two options:

  1. View the recorded session of the class available in your LMS or
  2. You can attend the missed session in any other live batch.

After the enrolment, the LMS access will be instantly provided to you able to access for lifetime which includes complete set of previous class recordings/PPTs/PDFs/assignments. You can start learning right away.

Your access to the Support Team is for lifetime. Our team will help you in resolving queries, during and after the course.

Yes, once enrollment has done for course. Access to the course material will be available for lifetime.

You can Call our support numbers listed in site OR Email us at info@iqtrainings.com.

You can view in-depth class sample recordings before the enrollment. Experience the complete learning instead of a demo session with our expertise.

All the instructors are Industry experts with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are well trained for providing an awesome learning experience to the participants.

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