Course Overview

Course Duration : 3 Months

Python is one of the best and easiest programming languages that is used for data machine learning, artificial intelligence, data science, applications, and web development. The syntax used in the language is quite similar to English making it far easier to learn. Despite the simplicity, Python is used to create and develop the most complex of technologies. Through DigiAcharya’s specially curated python programming course, you can get python programming certification and start your career.

DigiAcharya’s python programming course is designed to take you from a beginner to an expert, and leverage your programming skills to work with many upcoming technologies and find the right career path. In the course, we teach Python 2 and Python 3. The course is also useful for those who know C++. So, if you are interested in getting on the right career path, and learning the advancement and popular programming languages, enrol today for DigiAcharya’s python programming course.

Our program is suitable for

To pursue python programming with DigiAcharya, all you need is to have qualified for your higher secondary education (12th) with at least 50%. Professionals looking to upskill can also pursue python programming with us. Python is one of the most useful languages to know in a tech-driven world, so you need to have the thirst and capacity to learn this important language.

Build fun and useful projects

Create websites for your business

Upskill and gain better opportunities

Course Module

Module 1 - Python Basics

Python Basics like Running Python, Comments Variables etc. After completing this module, students will be able to understand how Python works. Understand Python’s place in the world of programming languages and create simple modules.

Module 2: Functions and Modules

This module deals with defining Functions, Variable Scope Global Variables Function Parameters Returning Values Importing Modules etc. After completing this module, students will be able to define and call functions and Define parameters in the pass arguments to functions. They will also be able to create and import modules.

Module 3: Math

This module deals with Arithmetic Operators and Built-in Math Functions After completing this module, students will be able to do basic math in Python and use the math module for additional math operations. .

Module 4: Python Strings

This module deals with quotation Marks and Special Characters, String Indexing, Slicing Strings Concatenation and String Formatting. After completing this module, students will be able to work with strings. Escape special characters, work with multi-line strings like Index and slice strings. Use common string operators and methods and format strings all while using built-in string functions.

Module 5: Iterables: Sequences, Dictionaries, and Sets

This module deals with Sequences, Dictionaries, and Sets. After completing this module, students will be able to: Understand the different types of tables available in Python Create, modify, and work with lists. Create and work with typles. Create ranges. Create, modify, and work with dictionaries Create sets and to use sets to remove duplicates in lists Understand the *args and **kwargs parameters.

Module 6: Flow Control

This module deals with Conditional Statements Loops in Python break and continues. After completing this module, students will be able to: Work with if conditions in Python. Work with loops in Python. Create generator functions Work with list comprehensions.

Module 7: Virtual Environments

This module deals with Virtual Environment. After completing this module, students will be able to: Understand what a virtual environment is. Create a virtual environment. Activate and deactivate a virtual environment. Delete a virtual environment.

Module 8: Regular Expressions

This module deals with Regular Expression Syntax. It discusses Python’s Handling of Regular Expressions. After completing this module, students will be able to: Create regular expressions for pattern matching. Use regular expressions within Python.

Module 9: Unicode and Encoding

This module deals with Bits and Bytes. It talks about Hexadecimal Numbers Encoding. After completing this module, students will be able to: Understand binary and hexadecimal numbers. Convert numbers between number systems.

Module 10: File Processing

This module deals with Opening Files, Finding Text in a File Writing to FilesList Creator Read files on the operating system. It helps the student create and write files on the operating system. . After completing this module, students will be able to: Read files on the operating system. Create and write files on the operating system. Access and work with directories on the operating system. Work with the os and os.path modules.

Module 11: Handling

This module deals with Getting Information on Exceptions like The else Clause, The finally Clause, Using Exceptions for Flow Control, Raising your Own Exceptions, Exception Hierarchy etc. After completing this module, students will be able to: Handle exceptions in Python.

Module 12: Python Dates and Times

This module deals with Understanding Time. After completing this module, students will be able to: Work with the time module. Work with the datetime module.

Module 13: Running Python Scripts from the Command Line

This module deals with Migrating Settings by using Windows Easy Transfer. After completing this module, students will be able to: Run Python scripts from the command line.

Module 14: Advanced Python Concepts

This module deals with Lambda Functions, Advanced List Comprehensions Collections Module Mapping and Filtering Mutable and more. After completing this module, students will be able to: Work with lambda functions. Write more advanced list comprehensions. Create modules and packages.

Module 15: Working with Data

This module deals with Relational Databases and Using JSON to Print Course Data. After completing this module, students will be able to: Access and work with data stored in a relational database. Access and work with data stored in a CSV file. Get data from a web page. Access and work with data stored as HTML and XML. Access an API. Access and work with data stored as JSON.

Module 16: Classes and Objects

This module deals with Attributes Behaviors Classes vs. Objects Attributes and Methods. After completing this module, students will be able to: Create classes and objects in Python. Write instance methods, class methods, and static methods. Define properties. Create subclasses using inheritance. Create abstract classes. Appropriately document Python classes. Understand how decorators work.

Module 17: Testing and Debugging

This module deals with Testing for Performance. After completing this module, students will be able to: Test performance with timers and use the time it module. To write unit tests using the unit test module.

PLATFORMS AND TOOLS

Python tools can be convenient for many different purposes if you know how to use them right.

Scikit-Learn

SciPy. Automation Testing Python tools.

Keras

Selenium

Theano

Robot Framework

What skills you will gain

Functions

Understand how Python functions and what it’s useful for Understand Python’s place in the realm of programming dialects Work with and control strings in Python

Python Maths

Perform math tasks with Python Work with Python arrangements: records, clusters, word references, and sets Collect client info and yield results Perform stream control preparing in Python

Write to and read Python

Write works in Python Handle special cases in Python Work with dates and times in Python Work with the Collections module.

Mapping

Understand mapping and filtering and lambda functions. Perform advanced sorting. Work with regular expressions in Python.

Databases

Work with databases, CSV files, JSON, and XML. Write object-oriented code in Python. Understand Unicode and text encoding. Test and debug your Python code.

Functions

Functions

Understand how Python functions and what it’s useful for Understand Python’s place in the realm of programming dialects Work with and control strings in Python

Python Maths

Python Maths

Perform math tasks with Python Work with Python arrangements: records, clusters, word references, and sets Collect client info and yield results Perform stream control preparing in Python

Write to and read Python

Write to and read Python

Write works in Python Handle special cases in Python Work with dates and times in Python Work with the Collections module.

Mapping

Mapping

Understand mapping and filtering and lambda functions. Perform advanced sorting. Work with regular expressions in Python.

Databases

Databases

Work with databases, CSV files, JSON, and XML. Write object-oriented code in Python. Understand Unicode and text encoding. Test and debug your Python code.

Career Roles

Python Programming Course from Digi Acharya allows the candidates to explore a new world of enormous opportunities. With this course, one can keep upskilling and aim at the top-most government or private institutions worldwide.

Choose a job as a Web Developer in a renowned institution

Be a Python Developer for a business chain

Get ready to be a Software Engineer with public or private sectors

Opt for a data analyst job under the IT sector of banks

Enrol Now to become a certified Python Programmer and broaden your resume!

Enrol Now to become a certified Python Programmer and broaden your resume!

FAQ's

Time to completion can vary based on your schedule and experience level, but most learners are able to complete the Specialization in about 8 months.

This Specialization is designed to serve as an on-ramp for programming and has no pre-requisites. The pace of the course is aimed at those with no programming experience at all.

Octave and MATLAB, step aside. Python isn’t just for casual programming—it’s being used by leading companies in a variety of fintech fields. For example, Bank of America’s Quartz and J.P. Morgan’s ATHENA platforms both use Python, and big companies like Google, Facebook, Instagram, and Spotify also use Python in their development. Many other companies like Citigroup also now require their data analysts to master Python and take training classes for the language.