Python Programming Online Training

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Mentors Pool Python certification course online is created by experienced professionals to match the current industry requirements and demands. Mentors Pool Python training is to help you master Python programming concepts such as Sequences and File Operations, Deep Dive Functions, OOPs, Modules and Handling Exceptions, NumPy, Pandas, Matplotlib, GUI Programming, Developing Web Maps, and Data Operations and more. This Python course online will help you work on real-time projects and become a certified developer.

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18 Hrs
Online Class
3 Hrs
13 Hrs

18 Hrs Instructor-led Training

Mock Interview Session

Project Work & Exercises

Flexible Schedule

24 x 7 Lifetime Support & Access

Certification and Job Assistance

Course Benefits

Python Programming Certification Training Course Overview

  1. Importance and introduction to Python and its installation
  2. OOP, expressions, data types, looping, etc.
  3. Functions, operations, and class defining
  4. Machine Learning algorithms in Python
  5. Skills to crack Python professional certification
  • BI Managers and Project Managers
  • Software Developers and ETL Professionals
  • Analytics Professionals
  • Big Data Professionals
  • Those who wish to have a career in Python

You don’t need any specific knowledge to learn Python. Some basic knowledge of programming can help you.

Mentors Pool follows a rigorous certification process. To become a Python Certified , you must fulfill the following criteria:

  • Online Instructor-led Course:
  1. Successful completion of all projects, which will be evaluated by trainers
  2. Scoring a minimum of 60 percent in the Python Certified quiz conducted by Mentors Pool

The StackOverflow’s developer survey of 2019 states that Python is the second most loved programming language in the world. Also, it is the most sought after programming language for Data Scientists, AI engineers, and Machine Learning engineers. Python developers earn around $115,000 per annum.

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IN: +91-8197658094

A Senior Python Developer with Python Certification earns an average salary of $109,280 per year, according to, Python is the preferred language for new technologies such as Data Science and Machine Learning.


Self Paced Training

Rs. 15000

Enrolment validity: Lifetime

  • 18 Hrs of Instructor-led Training
  • 1:1 Doubt Resolution Sessions
  • Attend as many batches for Lifetime
  • Flexible Schedule
3 April SAT - SUN 08:00 PM TO 11:00 PM IST (GMT +5:30)
11 April SAT - SUN 08:00 PM TO 11:00 PM IST (GMT +5:30)
17 April SAT - SUN 08:00 PM TO 11:00 PM IST (GMT +5:30)
20 April TUE - FRI 07:00 PM TO 9:00 PM IST (GMT +5:30)



25th Aug
1st Sept
20th Oct
27th Oct


Sat-Sun ( Weekend Class )
Sat-Sun ( Weekend Class )
Sat-Sun ( Weekend Class )
Sat-Sun ( Weekend Class )


7:00 PM – 10:00 PM IST (GMT +5:30)
7:00 PM – 10:00 PM IST (GMT +5:30)
7:00 PM – 10:00 PM IST (GMT +5:30)
7:00 PM – 10:00 PM IST (GMT +5:30)

Enrolment validity: Lifetime

EMI Option Available with different credit cards


Corporate Training

  • Customised Learning
  • Enterprise grade learning management system (LMS)
  • 24x7 Support
  • Enterprise grade reporting

Course Content

Python Programming Certification Training Course Content

Learning Objective: In this Python online course certification module, you will get to know about the basic concepts of Python.


  • Need for Programming
  • Advantages of Programming
  • Overview of Python
  • Organizations using Python
  • Python Applications in Various Domains
  • Python Installation
  • Variables
  • Operands and Expressions
  • Conditional Statements
  • Loops
  • Command Line Arguments
  • Creating the “Hello World” code
  • Numbers in Python
  • Demonstrating Conditional Statements
  • Demonstrating Loops

Learning Objective: Perform operations on Files and learn different types of sequence structures, their usage, and execute sequence operations.


  • Method of Accepting User Input and eval Function
  • Python – Files Input/Output Functions
  • Lists and Related Operations
  • Tuples and Related Operations
  • Strings and Related Operations
  • Sets and Related Operations
  • Dictionaries and Related Operations
  • File Handling
  • Tuple – Properties, Related Operations
  • List – Properties, Related Operations
  • Dictionary – Properties, Related Operations
  • Set – Properties, Related Operations
  • String – Properties, Related Operations

Learning Objective: In this Python online course module, you will learn about different types of Functions and various Object-Oriented concepts such as Abstraction, Inheritance, Polymorphism, Overloading, Constructor, and so on.


  • User-Defined Functions
  • Concept of Return Statement
  • Concept of __name__=” __main__”
  • Function Parameters
  • Different Types of Arguments
  • Global Variables
  • Global Keyword
  • Variable Scope and Returning Values
  • Lambda Functions
  • Various Built-In Functions
  • Introduction to Object-Oriented Concepts
  • Built-In Class Attributes
  • Public, Protected and Private Attributes, and Methods
  • Class Variable and Instance Variable
  • Constructor and Destructor
  • Decorator in Python
  • Core Object-Oriented Principles
  • Inheritance and Its Types
  • Method Resolution Order
  • Overloading
  • Overriding
  • Getter and Setter Methods
  • Inheritance-In-Class Case Study
  • Functions – Syntax, Arguments, Keyword Arguments, and Return Values
  • Lambda – Features, Syntax, Options
  • Built-In Functions
  • Python Object-Oriented Concepts Applications
  • Python Object-Oriented Core Principles and Its Applications
  • Inheritance Case Study

Learning Objective: Learn how to create generic python scripts, address errors/exceptions in code, and extract/filter content using regex.


  • Standard Libraries
  • Packages and Import Statements
  • Reload Function
  • Important Modules in Python
  • Sys Module
  • Os Module
  • Math Module
  • Date-Time Module
  • Random Module
  • JSON Module
  • Regular Expression
  • Exception Handling
  • Packages and Modules
  • Regular Expressions
  • Errors and Exceptions – Types of Issues, and Their Remediation

Learning Objective: Get familiar with the basics of Data Analysis using two essential libraries: NumPy and Pandas. You will also understand the concept of file handling using the NumPy library.

  • Basics of Data Analysis
  • NumPy – Arrays
  • Operations on Arrays
  • Indexing Slicing and Iterating
  • NumPy Array Attributes
  • Matrix Product
  • NumPy Functions
  • Functions
  • Array Manipulation
  • File Handling Using NumPy
  • Matrix Product and Aggregate Functions using Numpy
  • Array Creation and Logic Functions
  • File Handling Using Numpy

Learning Objective: In this Python Training module, you will gain in-depth knowledge about analyzing datasets and data manipulation using Pandas.


  • Introduction to pandas
  • Data structures in pandas
  • Series
  • Data Frames
  • Importing and Exporting Files in Python
  • Basic Functionalities of a Data Object
  • Merging of Data Objects
  • Concatenation of Data Objects
  • Types of Joins on Data Objects
  • Data Cleaning using pandas
  • Exploring Datasets
  • Functionality of Series
  • The Functionality of Data Frame
  • Combining Data from Dataset
  • Cleaning Data

Learning Objective: In this module, you will learn Data Visualization using Matplotlib.


  • Why Data Visualization?
  • Matplotlib Library
  • Line Plots
  • Multiline Plots
  • Bar Plot
  • Histogram
  • Pie Chart
  • Scatter Plot
  • Boxplot
  • Saving Charts
  • Customizing Visualizations
  • Saving Plots
  • Grids
  • Subplots
  • Plotting Different Types of Charts
  • Customizing Visualizations Using Matplotlib
  • Customizing Visualizations and Subplots

Learning Objective: In this Python online course certification module, you will learn GUI programming using ipywidgets package.


  • Ipywidgets Package
  • Numeric Widgets
  • Boolean Widgets
  • Selection Widgets
  • String Widgets
  • Date Picker
  • Color Picker
  • Container Widgets
  • Creating a GUI Application
  • Creating GUI Elements
  • Creating an application containing GUI elements

Learning Objective: In this Python online course, you will get to learn to design Python Applications.


  • Use of Folium Library
  • Use of Pandas Library
  • Flow Chart of Web Map Application
  • Developing Web Map Using Folium and Pandas
  • Reading Information from Titanic Dataset and Represent It Using Plots

Learning Objective: In this Python online course module, you will learn to design Python Applications.


  • Beautiful Soup Library
  • Requests Library
  • Scrap All Hyperlinks from a Webpage Using Beautiful Soup and Requests
  • Plotting Charts Using Bokeh
  • Plotting Scatterplots Using Bokeh
  • Image Editing Using OpenCV
  • Face Detection Using OpenCV
  • Motion Detection and Capturing Video

Free Career Counselling

Course Projects


FinBank is the latest entrant in the banking market of Thailand. For opening a bank account, verification was manual through the photocopy of the approved id card document till now. However, they have recently introduced a system where the customers’ fingerprint will be mapped with the newly introduced Unique Id for citizens of Thailand by the government of Thailand. FinBank should now verify customers against the fingerprint and Unique Id.


GoodsKart—largest e-commerce company in Indonesia with a revenue of $2B+ acquired another e-commerce company FairDeal. FairDeal has its own IT system to maintain records of a customer, sales, etc. For ease of maintenance and cost savings, GoodsKart is integrating customer databases of both the organizations; hence customer data of FairDeal has to be converted in GoodsKart Customer Format.

911 Calls

For this capstone project, we will be analyzing 911 call data from Kaggle. This data is from Montgomery County in the Pennsylvania State of USA. 911 is the most important social security feature in the USA. Citizens can call on 911 in case of any emergencies such as crime, medical, traffic, fire, etc. As a data analyst, you must analyze and visualize the data and answer the question in the section.

Course Certification

Listed below are some of the main reasons why you should learn Python Programming:

  • Popularity and potential for high salaries: Python is very popular among developers. As it is has been proven to be a truly universal language that can be used to meet various development needs, it offers a lot of options to programmers in general.Python experts draw among the highest salaries in the industry.
  • Extensible and portable: These two properties of the Python programming language allow a developer to seamlessly perform cross languages operations. Python is also supported by some of the leading platforms in the industry including Macintosh, Linux, PlayStation and Solaris, among several others.
  • Simple and Easy to learn: Python is a programming language that is very simple and easy to learn. It is very powerful, yet has syntax that resembles the English language very closely. The following are the contributors to the simplicity of Python:
    • Interpreted
    • High level
    • Large and active community of developers
    • Free and open source
  • Web Development: Python provides developers with a variety of frameworks in order to enable the development of websites. Since most frameworks on which websites are based are built on Python, Python code is, therefore, run faster and in a more stable manner.
  • Testing Framework: Python is a great platform for established companies to validate products or ideas. Python consists of a number of testing networks that are built in, including frameworks to test fastest workflows as well as debugging. Testing is usually a tedious task but is made easier with the use of Python.
  • Computer Graphics: Python is used in a variety of online as well as offline projects. The ‘Tkinter’ library in Python provides developers with an easy and a fast method to create applications. Python can also be made use of in order to develop a game with the ‘pygame’ module.
  • Scripting and Automation: During Scripting,
    • The code is written in the form of scripts, which are executable
    • The machine reads and interprets these scripts
    • Checking for errors is performed during Runtime

One of the best features of Python programming is that the Python programs can be moved from one platform to another and can be run without making any additional changes on almost all platforms including Windows, Linux, and Mac OS X. It has a simple syntax, which is quite similar to the English language. Moreover, its syntax allows developers to write programs with shorter or fewer lines as compared to other programming languages. Another major advantage with Python programming is that prototyping can be done very quickly, that is, a code can be executed as soon as it has been written.

Python has emerged as the most favoured language for Data Analytics. It easily integrates with other technologies and offers greater stability, leading to higher programming productivity especially in complex Agile projects. Python reduces development time by nearly half due to it’s easy to read syntax and simple compilation function. Python has a built-in debugger, making the process of debugging programs a straightforward task. Since a long time, the use of Python was restricted to scientific computing and highly quantitative domains such as finance, physics, oil and gas, and signal processing, but it is now finding increasing acceptance across all domains, especially in the field of Data Science.

Being a user-friendly language, Python is used in various domains. Below mentioned are a few applications of Python language:

  1. Web and Internet Development:

Python has libraries for internet protocols like HTML and XML, JSON, etc. as well as an easy-to-use socket interface, making the process of web development hassle free.

  1. GUI Based Desktop Application:

With numerous GUI toolkits available, like wxPython, PyQt or PyGtk, developers can create highly functional Graphical User Interfaces (GUI).

  1. Operating Systems:

Python has developed to become an integral part of Linux distributions. For example, Ubiquity Installer of Ubuntu has been developed in Python.

  1. Science and Numeric Applications:

Python has become an integral part of the application of computation and processing of scientific data due to its productivity, availability of tools and higher speed. To name a few tools: SciPy, Pandas, IPython, etc.

  1. Software Development Applications:

Python is used as a support language by Software developers for build-control and management, testing, etc.

  1. Application of Python in Education:

Python has paved its way to becoming an amazing language for teaching programs, both at introductory as well as advanced level. Example: Scons, Buildbot, Apache Gump, etc.

  1. Application of Python in Business:

Python is widely used to build ERPs and e-commerce systems. Example: Tryton, Odoo.

  1. Database Access:

Customize different databases like MySQL, Microsoft SQL Server, Oracle, etc. with the help of Python.

  1. Games and 3D Graphics:

With the help of various modules, libraries, and platforms that support the development of games, one can develop games with Python.

  1. Other Applications of Python:

Python is further used in the following applications

  • Applications for Images
  • Video or Audio based applications
  • 3D CAD Applications
  • Machine learning
  • Robotics
  • Artificial Intelligence
  • Web Scraping
  • Scripting
  • Enterprise Applications

It has a simple as well as an easy-to-use syntax, making it a perfect language to learn for a fresher who is trying to learn a programming language for the first time.

Python has widespread use in the domains of web development, application development, developing games, etc. It has been described as one of the most organized languages and standard languages by its users.  With the increase in popularity of Python language, it is expected to grow tremendously in the fields of Artificial Intelligence, Networking and Big Data in the near future.

Artificial Intelligence: Various frameworks, tools, and libraries are being developed to direct artificial intelligence to reduce human efforts and increase the accuracy and efficiency for development purposes.

Networking: Python performs various networking automation tasks such as reading, writing, and configuring routers and switches in a cost-effective and secure way with the help of various tools and libraries such as Ansible, Netmiko, etc.

Big Data: Python programming language has helped the big data technology to grow. Thanks to its high-performance libraries and toolkits, Python continues to successfully contribute to the analysis of a large number of data sets. To name a few python libraries and toolkits for Data Analysis: Pandas, Scikit-Learn, NumPy, Dask, etc.

If you want to advance your career and get better jobs, a certification in Python might be worth looking into. It’s a popular programming language and is growing rapidly. It is simple, flexible, easy to use, and complete all at once. Python is an excellent choice for data visualization, machine learning, and analysis. If you are looking to get into data science, getting a certification of Python should be your first goal.

A Python program can be run in the following two ways:

  • Running a Python program in a Python shell
    • Fire up your IDLE (Python GUI) file
    • Simply type in your Python script and press enter
    • Your program will start running
  • Running a Python program stored in a fileIn order to run a Python program stored as a Python script in a file, follow the given steps:
  • Write your script in an independent file
  • Save the file with a ‘.py’ extension, thus indicating to the system that the file is a Python program.
  • Initialise the terminal on your system.
  • Navigate to the directory where you have stored your file with the .py extension by typing the following command in the terminal:
    • Cd directoryName.
    • Now press enter
  • Type the command
    • Chmod a+x in order to inform your system that the said file is an executable program.
  • Next, type ./ in order to run your program.
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Certification Course Reviews

passport pic - Bhavya Nukala

Very interactive session, It was a very interesting session. There was a lot of stuff to learn, analyze and implement in our career. I want to give 10/10 to a mentor pool for their experts.

DSC_0489 copy - Shakti Annam

Very good,wonderful explanation by trainer, They did handsOn based on real time scenarios Improved my skills Highly recommended. The most important thing in training is hand-on and the training was 80- 85 % handson that's the plus point of Mentors Pool

img057 - sai chaitanya

Trainer explains each and every concept with perfect real time examples, which makes it really easy to understand. I gained more knowledge through him. The way of explaining is awesome.

IMG_20200925_132927 - Amarjeet Singh

The way the trainer explained to me is very interactive, he solved all my queries with perfect examples. Helped me in cracking the TCS interview. I am very grateful that I came across Mentors Pool

Certification Course FAQs

Python is a widely used programming language that can be used for small and large-scale projects. Python allows you to seamlessly integrate web development with data analysis. Python’s wide adoption is due in part to its standard library, accessibility, and support for multiple paradigms, such as procedural, functional and object-oriented programming styles. Python modules can interact with many databases making it an excellent choice to learn data science and machine-learning. You’ve found the right place if you are looking for the best python course online to improve your career.

If you are deciding which certification to go for or to know what best certifications you can have with Python, then this is the right place for you. Following are the various best Python certification course you can go for:

  • ●PCEP (Certified Entry-Level Python Programmer)
  • ●PCAP (Certified Associate in Python Programming)
  • ●PCPP1 (Certified Professional in Python Programming 1)
  • ●PCPP2 (Certified Professional in Python Programming 2)
  • ●CEPP – Certified Expert in Python Programming
  • Microsoft Exam 98-381 (Introduction to Programming Using Python)

Software development, data analysis and back-end Web applications are some of the most common careers for Python experts after getting Python online certification. These fields may require you to use Python to create, edit or manage software. With python, it is possible to test and debug code or build websites. After learning Python, some people might choose to work in finance, education, project management, computation, or financial services. You can use your Python skills to analyze and compute large data sets, or to teach others how to use it.

Java and Python are two of the most popular programming languages in the world. The reasons for the raging popularity of Java and Python are the efficiency, automation capabilities and the versatility that the two programming languages offer.

  • The main difference between Java and Python is that while Python is a dynamically typed language, Java is statistically typed. This means that while Java performs type checking at the time of compilation and does not compile a script that has errors, Python actually compiles the programs even if the scripts contain errors that prevent the script from running properly.
  • Python, however, is ranked slightly better compared to Java in terms of efficiency, performance, ease of understanding and readability.
  • Python is also ranked as the top language preferred by beginners, majorly owing to the fact that it is easy to understand and write. It reads almost like the English language and is more intuitive from a syntactical standpoint.
  • Another reason for the popularity of Python over Java is that Python is a general purpose programming language and has multiple applications from website designing, game development, artificial intelligence and data science to scientific computation and desktop applications. Thus, learning Python allows a developer to expand his/her horizons and focus on varying areas of technological advancements.

All in all, while Java has its benefits, learning Python makes more sense as it is more intuitive, flexible and creates a more enjoyable experience for the developer.

Here is what it takes to install Python:

  • A system with an Intel i3 processor or above
  • A minimum of 3GB RAM (4GB or above recommended for faster processing)
  • Operating system: 32bit or 64 bits

The cost of becoming a Python certified, varies widely from country to country and course by course. At the Python Institute, it costs $195 to take the PCPP1 and PCPP2 exams; $295 for the PCAP exam; and $59 to take the PCEP exam.

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