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Key Features



About The Program

  1. Importance and introduction to Python and its installation
  2. Study OOP, expressions, data types, looping, etc.
  3. functions, operations and class defining
  4. Get to know the Machine Learning algorithms in Python
  5. Course completion certificate from Deepneuron
  6. Be equipped for the 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. A basic knowledge of programming can help you.
Deepneuron follows a rigorous certification process. To become a certified Python Programmer,
you must fulfill the following criteria:

  • Online Instructor-led Course
  • Successful completion of all projects, which will be evaluated by trainers
  • Scoring a minimum of 60 percent in the Python quiz conducted by Deepneuron
  • Self-paced Course
  • Completing all the course videos in our LMS
  • Scoring a minimum of 60 percent in the Python quiz conducted by Deepneuron

Python Course Modules

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse.

Install and Setup
Python for Windows
Installing Anaconda Python for Windows
Navigation of Spyder
Stepping into the World of Python
Program Flow Control in Python
Lists, Ranges & Tuples in Python
The Binary number system explained
Python Dictionaries and Sets
Input and Output (I/O) in Python
Modules and Functions in Python
Object Oriented Python
Using Databases in Python
Generators, Comprehensions and Lambda Expressions
Operator Precedence
Our First Python Program
The str String Data Type
Printing in Python
Negative Indexing in Strings
Printing text
Printing the result of a calculation
Slicing with Negative Numbers
Strings in Python
Using a Step in a Slice
The Escape Character
Slicing Backwards
Printing tabs
Challenge Solution and Slicing Idiom
More on Escape Characters in Strings
String Operators
Variables and Types
String Replacement Fields
Python is a Strongly Typed Language
String Formatting
Numeric Data Types in Python
Numeric Operators
Python 2 String Interpolation
Section Summary
Integer division
Introduction to Blocks and Statements
if Statements
Using a Debugger in Spyder
More on if, elif and else
if, elif, and else in the Debugger
Using if with strings
Simple condition
Adding a Second Guess
Conditional Operators
Challenge Solution
Using and, or, in Conditions
Simplify Chained Comparison
Boolean Expression True and False
Truthy Values
in and not in
if Challenge
Solution to if Challenge
for loops
Stepping through a for loop
for loops Extracting Values from User Input
Extracting capitals
For loop
More About Ranges
For loop with step
Nested for loops
Initialising Variables and None
while loops
More on while loops
Break in a while loop
The Random Module and Import
Challenge Solution
Binary Search
Hi Lo Game
Pass Statement and Complete the Hi Lo Game
Testing the Hi Lo Game
Augmented Assignment
augmented assignment in a loop
Refactoring Code
else in a loop
else in the Hi Lo Game
Conditional Debugging
Another else Example
Section Challenge Solution
Changing the Condition
End of Remaster
Flow Control Quiz
Set, Arrays & Matrix in Python
Lists in Python
More about Lists
Challenge - Lists
Understanding Iterators
Understanding and using Ranges
More about Ranges
Ordered Sets with Tuples
More on Ordered Sets with Tuples
Lists, Ranges and Tuples
Dictionary and sets
system explained
Introduction to the Section
Binary Basics
What is binary
Hexadecimal and Octal and the Challenge
Dictionaries and Sets
Introduction to the Section
Python Dictionaries
Dictionaries Part 2
Dictionaries Part 3
Dictionaries Challenge
More on Dictionaries
The Second Dictionary Challenge
Python Sets Part 2 and Challenge
Search & find all
Find & replace
The dot metacharacter
Caret & dollar metacharacter
Regex Objects and Grouping
Optional Matching and Findall()
Character Classes and the Caret and Dollar Characters
Greedy and Non-Greedy Matching
Case-Insensitive Matching and Substitutions
Character class
Star metacharacter
Input and Output
(I/O) in Python
Introduction to the Section
Reading and writing text files
Writing Text Files
Appending to Files and Challenge
Writing Binary Files Manually
Using Pickle To Write Binary Files
Manipulating Data With Shelve
Updating With Shelve
Shelve Challenge
Challenge Continued
Introduction to the Section
Parabola - More on Functions
Modules and import
Scope in Functions
The standard Python library
Fix Function and Draw Circles
WebBrowser Module
Enhanced Circles and Challenge
Time and DateTime in Python
Time (Continued) and Challenge.
Global Variables
Global Keyword
Importing Techniques
Check Path In Windows
Underscores in Python code
Check Path on a Mac
Namespaces, more on Scope
and Recursion
Functions in Python
Recursion with OS Module and
Functions Part 2
Filesystem and Nonlocal keyword
Functions Part 3
Nonlocal keyword, Free and LEGB
File Handling In Python
Errors & exceptions in Python
Exception handling in Python
Finally block
File handling
Reading data from file
Adding data to the file
Appending to a file
Quiz for Section 4:
Coding challenge 5
Coding challenge 5 solution
Coding challenge 6
Coding challenge 6 solution
Web Scraping with BeautifulSoup
The Requests Module
Getting Started with BeautifulSoup
Attributes and Navigation
Accessing Attributes and Content
Siblings, Elements and Children
Object Orientated Programming
Remove Circular References
and Classes
Instances, Constructors, Self
Getters and Setters
and more
Data Attributes and Properties
Class Attributes
Alternate Syntax for Properties
Methods Part 1
Methods Part 2
Subclasses and Overloading
Non Public and Mangling
Calling Super Methods
DocStrings and Raw Literals
Changing Behavior of Methods
Album class and More on
Overriding Methods
Artist class and import Albums
Inheritance Challenge
Load data and Write Checkfile
Compare Files and Algorithm
Duck Test
Composition Continued
Implement Revised Load_Data
Test Code and Challenge
Write OOP Version
Getters and Propertie
Introduction to Databases
Rolling back Transactions
Database Terminology
Adding Database code to the Account Class
Sqlite3 Install on Windows
GUI Database Editing Overview
Sqlite3 Install on a Mac
Ultimate Edition Database View
SQLite3 Install on Ubuntu Linux
Community Edition Database Plugin
Introduction to SQLite
Update Deposit and Withdrawal Methods
More with SQL using SQLite
Displaying Time in Different Timezones
Querying data with Sqlite
SQLite3 strftime Function
Order by and Joins
Problems Storing Timezones
More complex Joins
Rolling Back Transactions
Wildcards and Views
Simple Database Browser
Housekeeping and the Challenge
SQL in Python
Star Args
Connections, Cursors and Transactions
SQL Injection Attacks
More on KWArgs
Placeholders and Parameter
Scrollable Listbox
Populating a Listbox from a Database
Show Songs from Album
Exceptions Challenge
The DataListbox Class Code
Exceptions Continued
Linking our DataListBoxes
Raising Exceptions
Linking our DataListBoxes Continued
More on Exceptions
DataListbox Challenge
Custom Exceptions
Section currently being added to regularly
Lambda Expressions
Nested Comprehensions
Generators and Yield
Nested Comprehensions Challenge
Next and Ranges
The timeit Module
Generator Examples - Fibonacci
More on timeit
numbers and Calculating Pi
timeit Continued and Challenge
The os.walk Generator
timeit Challenge
Searching the Filesystem
Map Intro
Reading Mp3 Tags
Map Challenge Completion
List Comprehensions
The Filter Function
List Comprehensions and Side-Effects
The Reduce Function
Challenge Solutions
any and all
Conditional Comprehensions
Named Tuples
Conditional Expressions
any and all with Comprehensions
Challenge 1 Solution
Virtual Environments
Challenge 2 Solution


Earn your certificate

Our Python program is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Differentiate yourself with a Python Certificate

The knowledge and Python skills you've gained working on projects, simulations, case studies will set you ahead of the competition.

Share your achievement

Talk about it on Linkedin, Twitter, Facebook, boost your resume, or frame it - tell your friends and colleagues about it.

Data Scientist

DeepNeuron Testimonials


  • What is the objective of our Python Regular Certification?

    The objective of the CKA training is to provide extensive coverage on the design and deployment of containers and orchestral tools for applications with special references to Python container orchestration tools. With Deepneuron Certified Python Administrator course, we ensure hands-on practical experience on creating containers files for Python which will help you to master Python with confidence.

  • Why should I learn Python from Deepneuron?

    Deepneuron Python certification is for freshers, experienced individuals who are ready to dive for a real-time case study based industry-specific carriculum specialized curated from professional subject matter experts (SMEs). At Deepneuron, you will explore live projects based on conceptual learnings with details explanations for each and every module for upscaling your current career statistics with advancement.

  • What can I expect after the Python Course accomplishment?

    After the completion of the Python online course, you will gain expert knowledge in Kubernetes and will be a proficient player to tap Pythontools at a depth level. Moreover, you will be part of the Deepneuron community to leverage the knowledge-base shared by the members around the globe. You will also earn an industry-recognized Python certification from Deepneuron.

  • Does Deepneuron offer job assistance?

    Deepneuron actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

  • Is it possible to switch from self-paced training to instructor-led training?

    You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

  • Does the job assistance program guarantee me a Job?

    Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

  • *For which all courses will I get certificates from IBM?

    Following are the list of courses for which you will get IBM certificates:

    • R Programming for Data Science
    • Python for Data Science

  • How do I earn the Master’s certificate?

    Upon completion of the following minimum requirements, you will be eligible to receive the Data Scientist Master’s certificate that will testify to your skills as an expert in Data Science.


    Course completion certificate

    Data Science and Statistics Fundamentals Required 85% of Online Self-paced completion
    Data Science with R Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in the course-end assessment, and successful evaluation in at least 1 project
    Data Science with SAS Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in the course-end assessment, and successful evaluation in at least 1 project
    Data Science with Python Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in course-end assessment and successful evaluation in at least 1 project
    Machine Learning and Tableau Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and successful evaluation in at least 1 project
    Big Data Hadoop and Spark Developer Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in the course-end assessment, and successful evaluation of at least 1 project
    Capstone Project Required Attendance of 1 Live Virtual Classroom and successful completion of the capstone project

  • How do I enroll for the Data Scientist course?

    You can enroll in this Data Science training on our website and make an online payment using any of the following options:

    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

    Once payment is received you will automatically receive a payment receipt and access information via email.

  • If I need to cancel my enrollment, can I get a refund?

    Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our Refund Policy.

  • I am not able to access the online Data Science courses. Who can help me?

    Yes, we do offer a money-back guarantee for many of our training programs. Refer to our Refund Policy and submit refund requests via our Help and Support. portal.

  • Who are the instructors and how are they selected?

    All of our highly qualified Data Science trainers are industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.

  • What is covered under the 24/7 Support promise?

    We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your course with us.

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