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Python Online Training

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  • 45 hrs interactive session
  • Live Instructor
  • Virtual classroom
  • Study Materials
  • Resume & Interview preparation

Career Opportunities

A number one platform that provides tech skill and salary analytics is Python, one of the highest-paying programming language. According to 2019 research, the average salary of Python developer in the US is $110,021, increasing up to $123,743 per year according to Indeed.
With the advent of Information Technology and high demand-supply ratio, the career opportunities associated with python programming language have grown significantly. There are 25000+ job opportunities available out there for python professionals.
The top organizations using Python are NASA, Google, IBM, Quora, Facebook, Red Hat, SGI, Yahoo, etc. Python professionals are most demandable in the IT industry nowadays and get paid more compared to other language professionals
Python is popularly serving as the high level best programming language for application development, web development, automation, Data Science, big data, Data Analytics, Game development, system administration, scientific and numeric computing, GIS and Mapping, etc.


Section 1: Python Introduction
  • Understanding the Open source
  • Understanding Interpreters
  • Introduction to Scripting languages
  • Evolution of python
  • Installation of python
Section 2: Getting started with Python
  • Creating the first python program.
  • Understanding the .py extension.
  • How to run the PYTHON PROGRAM
Section 3: Python Scripts execution
  • Using the python command line
  • Using IDLE
  • Using IDEs
  • Using a regular command prompt
Section 4: Variables
Section 5: Various ways of printing
Section 6: Boolean functions
Section 7: Operators
  • Arithmetic
  • Relational
  • Logical
  • Assignment
  • Membership
  • Identity
  • Unary
Section 8: Type casting
Section 9: Type casting
Section 10: Comments
Section 11: Strings and its types
  • Single line
  • Multi line
  • Doc strings
Section 12: Accepting inputs
  • Raw inputs and normal inputs
Section 13: Control Statements:
  • Sequence control
  • Decision control
  • if-elif-else
Section 14: Loop control
  • for
  • while
  • for-else
  • while-else
Section 15: break, continue and pass keywords
Section 16: Indexing and slicing
Section 17: Special data types
Section 18: Lists
  • What are lists?
  • Mutable lists.
  • In operator.
  • Traversing a list.
  • List operations.
  • Converting a list to string.
  • Converting a string to list.
  • Aliasing in lists.
  • Functions in lists.
  • Range function
Section 19: Set
  • Properties
  • Various operations
  • Casting
  • Mathematical operations
Section 20: Tuples
  • What is tuples?
  • Indexing in tuples.
  • Slicing in tuples.
  • Immutable tuples.
  • Lists and tuples.
  • Functions in tuples.
Section 21: Dictionaries
  • Keys and values.
  • In operator.
  • Looping in dictionaries.
  • Lookups in dictionaries.
  • Dictionaries and tuples.
  • Functions in dictionaries.
  • Single key with multiple values
  • Dictionaries vs. sets.
Section 22: Functions
  • Without arguments
  • With normal arguments
  • With positional arguments
  • With named or keyword arguments
  • With default arguments
  • With variable length arguments
  • With dictionary arguments
  • Functions returning single and multiple values
  • Pass by reference
  • Pass by value
  • Anonymous functions
  • Understanding the doc strings
  • Lambda, map, filters
  • Understanding the return keyword
  • Global scope.
  • Local scope
Section 23: Modules
  • What are modules?
  • Understanding the namespaces
  • Various ways of importing.
  • Various ways of accessing
  • Aliasing
  • dir () function.
  • Installation of a module.
  • Properties of a module
  • Understanding the virtualenv.
Section 24: Packages
  • Packaging a module
  • Understanding init file
  • Establishing the relation between the modules and Packages
  • Sub packages
Section 25: Files
  • Reading and writing files
  • Methods of File Objects
  • Modes
  • Reading
  • Writing
  • Modify
  • Executing database queries using python scripts
  • File creation in the default and specific locationsv read(),readline() and readlines()
  • Merging
  • Files similar schema
  • Files different Schema
  • Flip Kart Example
  • Buffering in files.
Section 26: OOPS
  • OOPS Paradigm
  • Differences between Procedural and Object Oriented Programming
  • OOPS Approaches
  • OOPS Principles
  • Understanding the classes in python.
  • Employee class
  • Using the class statement
  • Creating the objects for classes
  • Methods in classes.
  • Differences between the methods inside the class and outside the class
  • self keyword
Section 28: Encapsulation
Section 29: Inheritance types
  • Single
  • Multilevel
  • Hierarchical
  • Multiple
  • Hybrid
  • Problems with multiple inheritances
  • Understanding the super method
Section 30: Abstraction
  • Abstract methods
  • Abstract classes
  • Decorative
  • ABC module
Section 31: Installing predefined modules
Section 32: Working with excel files
Section 33: OS Commands
Section 34: Constructors
  • Parameter less
  • Parameterized
  • Differences between the methods and constructors
  • Advantages
Section 35: Destructors
Section 36: Garbage collectors
Section 37: Exceptions
  • What are exceptions?
  • Various types of exceptions.
  • Exception handling - try,except,else,finally
  • Displaying predefined and user defined messages
  • Trapping errors.
  • Raising exceptions.
  • Customized exceptions
Section 38: Lambda, Map and Filter functions
Section 39: Command line arguments
Section 40: Database Connectivity
  • What is database and its purpose?
  • Types of databases
  • What is a query?
  • Working with oracle/MySQL databases.
  • How to install MySQL-server and oracle?
  • How to know what modules to install?
  • Operations
  • Creation of tables
  • Insertion
  • Data retrieval
  • Updation
  • Alterations
  • Deletions
Section 41: Python and MySQL
  • Connecting the python application with the database
  • Cursors
  • Running the queries
  • Fetching the required amount of data and the complete data
  • Loading the data from the database tables into excel file and text file
  • Concurrent programming
  • Creating and starting a thread
  • Thread module
  • Improving the performance using threading
  • join() function
  • Ways to implement threads
  • Several methods of thread class
  • Thread Synchronization
  • Locking mechanism
Section 43: Introduction to web framework
  • What is a server, HTTP Request and HTTP Response?
  • What is a web framework and web application?
  • Challenges in developing web application
  • Django overview and installation
  • Starting a Django powered project
Section 44: Django project architecture
Section 45: Understanding different .py
  • manage.py
  • settings.py
  • _init_.py
  • wsgi.py
  • urls.py
  • admin.py
  • models.py
  • views.py
Section 46: Starting your first web application
Section 47: Django project architecture
Section 48: Python regular expression
Section 49: Running Django development server
Section 50: Working with javascript & CSS files
Section 51: Templates
Section 52: Developing standard web template
Section 53: Developing standard web template
Section 54: Template tags
Section 55: Filters in Templates
Section 56: Template API
Section 57: Django Admin
  • Activating the Admin interface
  • Creating super use for Admin site
  • Using the Admin site
  • How to use the Admin site
  • The django.contrib package
Section 58: Models
Section 59: The MVC Development Pattern
Section 60: Defining Models using Python classes
Section 61: Defining Model data fields
Section 62: Initializing model using make-migrations
Section 63: Running model initialization using migrate
Section 64: Registering models in settings.py
Section 65: Registering models with Admin site
Section 66: Views and URLconfs
Section 67: Understanding the view layer
Section 68: Requesting a web page via URL
Section 69: Rendering web page via view function
Section 70: Render HTTP Response to templates
Section 71: Understanding context data and python dictionary type
Section 72: Forms
  • Form basics
  • GET and Post methods
  • Form validation
  • Rendering forms
  • ModelForm
Section 73: Working with static File
  • Creating static repository
  • Loading static files
  • Adding Image file to Template
  • Advance Models, Views, Forms and Admin
Section 74: Understanding model fields in depth, Database function, Model managers
  • Django ORM
  • Class based views
  • File submission
Section 75: Real-time project
  • Python project environment setup
  • Real-time Python project
  • Project demonstration
  • Expert evaluation and feedback
Section 76: You made it!!
  • Spark Databox Python certification
  • Interview preparation
  • Mock interviews
  • Resume preparation
  • Knowledge sharing with industry experts
  • Counselling to guide you to a right path in Python career

About course

The best Python online course is here. Our expert trainers at Spark Databox are here ready to guide you and launch your career. The course at Spark Databox covers the basic and fundamental knowledge of Python Language. As we advance in the course, industry applications and uses are also taught along with the topics. Any learner new to programming can also benefit from this course as we teach from the basics and to advance based on the participants’ experience. Post completion of the course the learner will gather expertise to build their own applications.

Our main areas of focus will be:

Write python scripts, unit code
Understanding the OOPS concept
Learning to code in Python Language
Built-in libraries and third-party tools
OOPS Concept
Automating tasks
Own project (Developing an application) Data principles, Machine learning, data visualization, working with real-time data, and programming and analyzing data will be covered in the course. Encoding, categorical data and ordinal data, time series and its concepts are also part of the course. All relevant skills will be taught at SparkDatabox. Give your career a jump by applying now!
Data Scientists will benefit from the course as they learn to create and applying Machine Learning skills. There is a huge reduction in development time and the language features easy to understand syntax and simple compilation. During the course, the participants will also learn to execute basic tasks, automation and data mining from a real-world project. We would also provide training and placement assistance! Jumpstart your career by opting this course.
Spark Databox has designed this course to cater to all types of working professionals as well as new learners. We provide job oriented training. Many businesses are now using Machine learning hence it is also beneficial for business analysts.

Technical Leads
Data Scientists
Data Analysts
Statisticians and Analysts
Business Analysts
Project Managers
Business Intelligence Managers
Spark Databox’s Python online course certification covers every topic right from the start, so anyone from beginner to intermediate level candidates can take up this course without any fear.
Python is the 3rd trendiest programming language for the data scientists. Numerous multinationals are using Python. This online course at Spark Databox can help you build a professional career with high pay compensations. AI/Data Science, web testing, web development and frameworks, smart devices, and game development are some of the areas where the learners will be able to find their jobs. The simplistic and diverse nature of Python had made its own pace in the top most successful programming language of 2019, providing excellent career opportunities for freshers.

Opting for Python will provide you with various job offers and productive job profiles.
Python is dynamic and promotes various open-source platforms like XWeb testing, big data, Django, AI, and smart devices.
Top organizations like Google, Facebook, IBM, Netflix, are using Python language for scripting its codes. Therefore you have extensive opportunities to get placed in top MNCs with the assistance of efficient python skills.
Hadoop deployment with MapReduce, SQLite IN Python, class-defining, and operations, file sequence functions in Python, and data types will be easily understood by learners post completion of this course. Machine Learning algorithms, Hadoop projects, and writing and deploying Hive UDF and Pig UDF will also be part of the course. Our team of experts will make sure you get the best.
Anyone wanting a career jump can opt for this course. Basics of Mathematics and English will be more than sufficient for software programming. Others include

Students or fresh graduates
Testing job profile
Professionals Prior knowledge of programming will ease learning for new participants and basic knowledge of Data analysis tools is also helpful.
The simple and open source Python programming language is a great career transition for someone who is not a proficient programmer.

Complete hands-on and real-world project training
40+ hours of course duration
10 to 15 years of Industry expert faculties
100 percent career-oriented training
Certification supervision
Own training course materials
Resume building
Placement Support
Affordable fees structure

Introduction to Python

Python is a programming language created by Guido van Rossum in 1991. It is used for various reasons mainly,

  • Web development
  • Software development
  • Mathematics
  • System scripting

Python is a functional programming language can be used in small as well as bigger projects. Python online course at SparkDatabox will cover major platforms, by means of GUI frameworks and tools such as PyGUI, PyQT, Kivy, WxPython, and PyGTK, in web services and other functions and tasks.

It is a widely used Open Source scripting language
Python is an Interpreted, high-level programming languages
Supported by massive developer communities
Easy to learn compared to C++, Java
Easy to extend in C++, C, and Java
Python works on Windows, Linux/Unix, Mac OS, and ported to the Java and .NET virtual machines support for a fickle number of function arguments.
Python is used for both scripting and general programming.

Applications are written as text files, and with the .py extension
Every module has its private namespace
Namespace found within a module is intercontinental
.py data accomplished directly are applications or scripts
.py data sourced by import report are modules
Variables are not required for introduction
Indentation works a significant role in python
Python is an open-source platform and there’s time reduction in creating applications. As the language is embeddable and high-level object-oriented, one can find it’s applications in many editors.
With prior programming knowledge, the learner can grasp the syntax within 5 days. Our experts and professional team would help you with the coursework and the learner can be trained and grasp the concepts with ease.
Many multinational companies make use of Python for their works Quora, Netflix, Amazon, Google, and Reddit are some of the companies you can land your job with post completion of our training certificate.
Our course would cover teaching the learner to make 2D games by using different frameworks like PyOpenGL and Pygame.
The major agenda is to teach learners to develop web and desktop applications. Various uses in scientific and numeric applications can be found, this is well-understood post completion of this course. Data visualization also becomes easier.
Python although taking more time to run than Java is shorter in many applications. The expert team will guide you through the course, and also would showcase the productivity of Python in a dynamic choice for scripting application development.
Integrated Real-event-tie-loop is a major characteristic in Python. Python is easier to read than Javascript. Python runs for server-side programming unlike JavaScript running both on the browser and server-side programming.

Python Exams & Certification

Python Online Training can help the learner make a career in data science. The live project assigned will help the learner in using all concepts into an application. At the end of our Python Online course, you will be assigned to work on a real-time project. The certificate is issued subject to the learner meeting minimum criteria. The learner will also have the option to reattempt the exam.

After completing real training and completing the real-time project, the learner will earn a Spark Databox Python Certificate. Python online training helps you find the perfect match for your career. Python, fundamentals of OOP, utilization of loops, are all part of the course. Opt now at Spark Databox.
After completing real training and completing the real-time project, the learner will earn a Spark Databox Python Certificate. Python online training helps you find the perfect match for your career. Python, fundamentals of OOP, utilization of loops, are all part of the course. Opt now at Spark Databox.
The learner can attempt the exams as many times as they want. Our team of experts will provide all assistance and support through the process. The learner is expected to achieve the minimum requirements and our team will guide throughout the process.
In case you fail the exam, the learner can reattempt after 15 days. Our team at Spark Databox will help and guide you through the process and help your reattempt.

Spark Databox Placement assistance

Selenium Certification Online Training is designed in a way that is placement oriented. There is the relevance of Selenium suite, you will get a suitable route for placements. Spark Databox trainers will accompany you here. Our Placement Oriented Training is one of the most important elements of Selenium Online Course.

At Spark Databox, we have a dedicated team possessing extensive network connections with top companies all over India and in US. You will be provided placement and resume building assistance in Spark Databox. Upon successful completion of the course, candidates will be awarded a course completion certificate along with the certificate of practical training Achievement from Spark Databox. With industry partners on-board, we will assure you have all the support you require to secure a job.
Yes, Spark Databox will guide you through in preparing your resume. With the team of experts, your resume will be powerfully written which will offer you a significant advantage over other job applicants. At Spark Databox we know how companies will look at your resume.
Spark Databox’s Python certificate is widely recognized by companies all over India. Acquiring a certificate from Spark Databox will give you an unprecedented advantage over other job applicants.

Upcoming Batches

Start Date End Date Time (EST) (UTC - 5) Day
13-Dec-19 10-Jan-20 (09:30 PM - 12:00 AM) Fri-Sat
14-Dec-19 11-Jan-20 (09:30 PM - 12:00 AM) Sat-Sun
16-Dec-19 13-Jan-20 (09:30 PM - 11:00 PM) Mon-Fri
17-Dec-19 14-Jan-20 (09:30 PM - 11:00 PM) Tue-Sat
20-Dec-19 17-Jan-20 (09:30 PM - 12:00 AM) Fri-Sat

Note : We can arrange classes on different timings up on customer request. Please call us to schedule classes as per your convenient timings. We can arrange one to one training up on customer request.


I would say Spark Databox is one of the best institutions for online training courses especially for Python online training. After completing my Python training with Spark Databox, I got placed in Software company. Lot of training materials and hands-on are provided while training which is very helpful. Thanks to my trainer and Spark Databox for all your support.

Data engineer

Hi, this is Hema from Hyderabad. I get to know Spark Databox from one of my friend who had taken Big Data training from Spark Databox online training institution. With his suggestion, I joined Spark Databox for Python online training. I recommend Spark Databox to my friends as well. Thanks for Spark Databox and team.

Associate Software Engineer

I got trained from Spark Databox online training institute for Python course. My trainer is very unique and talented person. He took class very innovatively with real-time examples. Thanks to Spark Databox and special thanks to my trainer.

Software Engineer

After my college, I had no hope to get placed to a Software company. That time, I reached Spark Databox and with an expert advice I joined Python Online training with Spark Databox. During the training period with the sincere preparation, I got a software job within a short span. Thanks to Spark Databox online training institute.

Software Developer

I learnt Python from Spark Databox. As I was looking for a job change, I decided to learn Python online. Spark Databox is the best institution for online training courses. The trainer is very friendly and helpful throughout the training. He solved all my doubts and very helpful. Thank you.

Senior Software Developer

Hi, I am Nirmal from Kolkata. I am working as Big Data Developer in top MNC. As we are migrating from Java to Python in our project, I was asked to learn Python in short span. I decided online training would be the best. Through Facebook, I come to know Spark Databox online training institute. I learnt Python from Spark Databox. They have a qualified trainer and very helpful. Thanks Spark Databox for all your support.within a month after the training. Really, I thank to Spark Databox for the support and building the confidence in me.

Big Data Developer

Before joining Spark Databox for Python online training, I would like to know the reviews from someone who had already joined Spark Databox. From all the reviews from various people, I come to know that Spark Databox is one of the best online training institutions. After joining Python online course, I got a clear idea and knowledge about the concepts. Thanks to Spark Databox.

Software Engineer

Thanks! Thanks! Thanks! for the online Python training. Spark Databox online training institute has changed my life and helped me to get my desired job. My trainer helped me to understand all the concepts. Spark Databox is a best training institute which conduct trainings in well organized manner.


I learnt Python course from Spark Databox online training institute. Trainer is very flexible and helpful. I strongly recommend Spark Databox for best online trainings.

Software Developer

Hello, this is Gokul. After completing my Engineering degree, I took Python training from Spark Databox. I learnt Python with lot of hands-on examples which helped me to solve problems very efficiently. I got placed in top MNC as a Software Development Engineer. Thanks Spark Databox.

Software Development Engineer


These are the four main implementations:
Cpython ( c )
PyPy (python)
JyThon (Java)
All of our profoundly qualified trainers are industry experts with at least 15 years of consistent teaching experience. Each of our mentors has gone through a meticulous selection method, which includes profile screening, professional evaluation, and a training class demo before they are approved to the training session. We also assure that only those trainers with high alumni rank continue to train candidates.
SparkDatabox provides 50 hours course plan for all type of course with real-time information and explanations provided by our experts. However, the course duration may vary as per the learners need.
You will receive Spark Databox globally certified Python online course completion certification.
The knowledge, professional certificate, workshop, internship, real-time project, and the constant support for placement from Spark Databox will help the candidates to join leading companies and create the best products or services to the software world. With industry partners on-board, we will assure you have all the support you require to secure a job.
Every training session will be recorded, and access will be provided to all the videos on Spark Databox’s state-of-the-art course training system. You can watch the recorded sessions at your own time and convenience. Or you can attend the missed session in any other live batch.
Top organizations are looking for professionals with excellent basic and advanced python skills. The job profile includes Python Developer, Software Engineer, Senior Software Engineer, Software Developer, DevOps Engineer, and Data Scientist.