Python Programming Online Training Certification Course

Learn Python programming from scratch through ITS Python programming certification course. This Python Course will help you master important Python programming concepts such as data & file operations in Python, object-oriented concepts in Python & various Python libraries such as Pandas, Numpy, Matplotlib, and so on. This Python certification course is also a gateway towards your Data Science career.

Python live online classes – Instructor Led Training

Date Days Batch Seats
26th Jan Sat & Sun Timings : 08:30 AM – 12:30 PM (IST) Sold
09th Feb Sat & Sun Timings : 08:30 AM – 12:30 PM (IST) Filling Fast
02nd Mar Sat & Sun Timings : 08:30 AM – 12:30 PM (IST)  

Course Price:
₹11999 ₹ 14999
15% Off

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Course Curriculum

Introduction to Python

Goal: Give a brief idea of what Python is and touch on the basics.

Learning Objectives: At the end of this Module, you should be able to:
• Define Python
• Understand the need for Programming
• Know why to choose Python over other languages
• Setup Python environment
• Understand Various Python concepts – Variables, Data Types Operators, Conditional Statements and Loops
• Illustrate String formatting
• Understand Command Line Parameters and Flow control

• Overview of Python
• Companies using Python
• Other 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

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

Sequences and File Operations

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

Learning Objectives: At the end of this Module, you should be able to:
• Understand Operations performed on Files
• Learn what Sequences are
• Execute Sequence Operations
• Understand Types of Sequences in Python: Lists, Tuples, Strings, Sets, Dictionaries

• 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

• Tuple – properties, related operations, compared with a list
• List – properties, related operations
• Dictionary – properties, related operations
• Set – properties, related operations

Deep Dive – Functions and OOPs

Goal: In this Module, you will learn how to create user-defined functions and different Object Oriented Concepts like Inheritance, Polymorphism, Overloading etc.

Learning Objectives: At the end of this Module, you should be able to:
• Define and call Functions
• Understand why the return statement is used
• Understand and execute Object-Oriented Concepts

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

• Functions – syntax, arguments, keyword arguments, return values
• Lambda – features, syntax, options, compared with the functions

Working with Modules and Handling Exceptions

Goal: In this Module, you will learn how to create generic python scripts, how to address errors/exceptions in code and finally how to extract/filter content using regex.

Learning Objectives: At the end of this Module, you should be able to:
• Use Standard Libraries
• Use Modules
• Understand Exception Handling
• Create User Defined Exceptions

• Standard Libraries
• Modules Used in Python (OS, Sys, Date and Time etc.)
• The Import statements
• Module search path
• Package installation ways
• Errors and Exception Handling
• Handling multiple exceptions

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

Introduction to NumPy & Pandas

Goal: This Module helps you get familiar with the basics of statistics, different types of measures and probability distributions, and the supporting libraries in Python that assist in these operations.

Learning Objectives: At the end of this Module, you should be able to:
• Create arrays using NumPy
• Use NumPy to perform mathematical operations on arrays
• Read and write data from text/CSV files into arrays and vice-versa
• Understand Pandas and employ it for data manipulation
• Understand and use the data structures available in Pandas
• Read and write data between files and programs

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

• NumPy library- Installation, Creating NumPy array, operations performed on NumPy array
• Pandas library- Installation, creating series and data frames, Importing and exporting data

Data Visualisation

Goal: In this Module, you will learn in detail about data visualization.

Learning Objectives: At the end of this Module, you should be able to:
• Create simple plots like scatter plot, histogram, bar graph, pie chart using Matplotlib
• Add different styles to the plot
• Use the different forms of plots available in Matplotlib

• matplotlib library
• Grids, axes, plots
• Markers, colours, fonts and styling
• Types of plots – bar graphs, pie charts, histograms
• Contour plots

• Matplotlib – Installation, Using Scatterplot, histogram, bar graph, pie chart to show information, Styling of Plot

Data Manipulation

Goal: Through this Module, you will understand in detail about Data Manipulation.

Learning Objectives: At the end of this Module, you should be able to:
• Perform function manipulations on Data objects
• Perform Concatenation, Merging and Joining on DataFrames
• Iterate through DataFrames
• Explore Datasets and extract insights from it

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

• Pandas Function- Ndim(), axes(), values(), head(), tail(), sum(), std(), iteritems(), iterrows(), itertuples(), GroupBy operations, Aggregation, Concatenation, Merging and joining

GUI Programming

This module is a combination of Live Instructor-Led Training and Self-paced learning.

Goal: In this module, you will learn GUI programming using ipywidgets package.

Learning Objectives: After completing this module, you should be able to:
• Learn ipywidgets package
• Understand different widgets like Numeric Widgets, Boolean Widgets, Selection Widgets, String Widgets, Date Picker, Color Picker and Container Widgets
• Create an application using ipywidgets package

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

• Create GUI

Self-paced Concept: Network Programming and Multithreading

Goal: In this module, you will learn how to connect your server with MySQL DB. In addition, learn about Socket programming.

Learning Objectives: After completing this module, you should be able to:
• Understand the concept of Database
• Access MySQL DB
• Create socket for sending short messages
• Learn Multithreading concepts

• MySQL DB access
• Network programming
• Multithreading

• Database Creation
• CRUD Operations
• Network Creation
• Multithreading

Developing Web Maps and Representing information using Plots (Self-paced)

This module is Self Paced

Goal: Throughout this Module, you will be designing Python Applications.

Learning Objectives: At the end of this Module, you should be able to:
• Design a Web Map using Folium and Pandas for displaying Volcanoes in USA and Population in different countries in a Single map Represent information from Dataset with the help of Plots

• Use of Folium Library
• Use of Pandas Library
• Flowchart of Web Map application
• Developing Web Map using Folium and Pandas
• Reading information from Dataset and represent it using Plots

Computer vision using OpenCV and Visualisation using Bokeh (Self-paced)

This module is Self Paced

Goal: Throughout this Module, you will be designing Python Applications.

Learning Objectives: At the end of this Module, you should be able to:
• Perform Web Scraping using Python
• Visualise Data on the browser using Bokeh
• Use OpenCV to create a motion detection software

• Beautiful Soup Library
• Requests Library
• Scrap all hyperlinks from a webpage, using Beautiful Soup & Requests
• Plotting charts using Bokeh
• Plotting scatterplots using Bokeh
• Image Editing using OpenCV
• Face detection using OpenCV
• Motion Detection and Capturing Video

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Course Description

About the Course

This Python Programming Certification Course will cover both basic and advance concepts of Python like writing python scripts, sequence and file operations, object-oriented concepts & web scraping. On this journey, you will go through some of the important and widely used Python libraries like pandas, numpy, matplotlib, etc.

Training Objectives

After completing this course, you will be able to:
• Write python scripts, unit test code
• Programmatically download and analyse data
• Learn techniques to deal with different types of data – ordinal, categorical, encoding
• Learn data visualization
• Using IPython notebooks, master the art of presenting step by step data analysis

Who Should go for this Course?

The Python Programming Certification Course is a good fit for the below professionals:
• Programmers, Developers, Technical Leads, Architects, Freshers
• Data Scientists, Data Analysts
• Statisticians and Analysts
• Business Analysts
• Project Managers
• Business Intelligence Managers

What are the pre-requisites of this course?

There are no hard pre-requisites. However, basic understanding of Computer Programming terminologies is beneficial.

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What are the system requirements for this Python Programming Training?

You don’t have to worry about the System Requirements as you will be doing your practical on a Cloud LAB environment. This environment already contains all the necessary software that will be required to execute your practicals.

How will I execute Practicals ?

You will do your Assignments/Case Studies using Jupyter Notebook that is already installed on your Cloud LAB environment whose access details will be available on your LMS. You will be accessing your Cloud LAB environment from a browser. For any doubt, the 24*7 support team will promptly assist you.

Be future ready. Start learning

Be future ready. Start learning

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Instructor-led Sessions

36 Hours of Online Live Instructor-Led Classes. Weekend Class : 12 sessions of 3 hours each.

Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of the various Azure concepts.


Each class will be followed by practical assignments which will aggregate to minimum 25 hours.

Lifetime Access

You get lifetime access to Learning Management System (LMS) where presentations, quizzes,
installation guide.

24 x 7 Expert Support

We have 24×7 online support team to resolve all your technical queries, through ticket based tracking system, for the lifetime.


Towards the end of the course, you will be working on a project. ITS certifies you as a Microsoft Azure Infrastructure expert based 


What if I miss a class?

“You will never miss a lecture at ITS 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.”

What if I have queries after I complete this course?

Your access to the Support Team is for lifetime and will be available 24/7. The team will help you in resolving queries, during and after the course.

How soon after Signing up would I get access to the Learning Content?

Post-enrolment, the LMS access will be instantly provided to you and will be available for lifetime. You will be able to access the complete set of previous class recordings, PPTs, PDFs, assignments. Moreover the access to our 24×7 support team will be granted instantly as well. You can start learning right away.

Is the course material accessible to the students even after the course training is over?

Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

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