• mentor 10 +hrs. Self-Paced
  • session 30 +hrs. Assignments Hrs
  • code 3 + Industry cases
  • job 1 Real-Time Project
3 +
Industry cases
Real-Time Project
  • Android Studio
  • Gradle
  • XML
  • SQLite
  • 6 weeks Total Duration
  • 5 hrs/week Effort
6 weeks
Total Duration
200 (All inclusive)
Course Price
Android Studio
  • Python Programming Basics
  • Notebook Python basics
  • Objects Python basics
  • Number & Booleans
  • Strings
  • Container Objects
  • Mutability of Objects
  • Operators
  • Conditions
  • Loops
  • Break and Continue
  • Statements
  • Range Functions
The Python course starts with the basics. Learn about Python Programming, Notebook, objects, operators, loops, etc., in this module.
  • String Object
  • String Methods
  • Splitting and Joining Strings
  • String Format Functions
  • List Object
  • List Methods
  • List as Stack and Queues
  • List Comprehensions
  • Strings and lists - Python programming examples
Delve more deeply into strings and lists with this exclusive module that teach you everything you need to know about them.
  • Tuples
  • Sets
  • Dictionary Object Basics
  • Dictionary Object Methods
  • Dictionary View Objects
  • Functions Basics
  • Parameter Passing
  • Iterators
  • Generator Functions
  • Lambda Functions
  • Map
  • Reduce
  • Filter Functions
  • Tuples Python programming examples
In this module, learn how to use Python objects in sequence with Tuples and create small anonymous functions with Lambda.
  • OOPS Basic Concepts
  • Creating Classes and Objects
  • Inheritance
  • Multiple Inheritance
  • Working with Files
  • Reading and Writing Files
  • Buffered Read and Write
  • Other File Methods
Python is an object-oriented programming language. In this module, learn the basics of OPPs and explore what you can do with them. The module also teaches you how to work with files in Python.
  • Using Standard Module
  • Creating New Modules
  • Exceptions Handling with Try-Except
  • Creating
  • Inserting and Retrieving Table
  • Updating and Deleting Data
Finally, learn how to create and use standard modules on Python. This module also teaches you how to manage data, access data bases and handle exceptiosn with Try-Except.
Learn Python Programming

Apart from its uses in data science, there are other reasons to invest in Python training. Here are the top three why you should invest in a Python tutorial:

High-Paying Skill

According to PayScale, entry-Level Developers who know programming earn Rs 4,93,068 on average.

Most-Loved Language

According to Forbes, Python is a darling language of developers.

Great First Language

According to Popular Science, it is the best language to begin your programming journey.

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Transform your career with our courses

Python is a well-developed, stable, and fun programming language that is suitable for complex and simple development projects. It is a general-purpose programming language that was judged the best programming language of 2018 by TechNotification, and for good reason. It is fast becoming the most popular language among data scientists. Python lets you work fast, is flexible, and uses elegant syntax that is easy to learn. It also has an extensive library of codes that make it a superb tool for analytics and data science.

Computers are capable of learning more from data than us humans. They are more adept at recognizing underlying pattern in or recognizing trends in a data set that might be invisible to the human eye. Hence, they open possibilities in data science that would have otherwise laid dormant or unexplored. Due to this reason, machine learning is one of the hottest skills in the market. It’s why machine learning is important and Python certification is sought by professionals.

  • It is a major programming language.
  • It is versatile (can be extended to C++ and other languages, runs on Windows, Mac, Linux).
  • It is well-designed.
  • It has extensive libraries.
  • It uses simple, elegant syntax.
  • Python certification is best for aspiring Programmers, Data Scientists, Data Analysts, Business Analysts.

    Prior knowledge of or experience in Python programming is not required to join this Python certification or Python online course. Having said that, it would be a plus. Interest in programming and willingness to learn can make up any gap of knowledge you may have.

    The system requirements for the Python online course are as follows:

  • Microsoft® Windows® 7/8/10 (32- or 64-bit).
  • 4 GB RAM minimum, 8 GB RAM recommended.
  • i3 or higher processor.
  • Intel® VT-x (Virtualization Technology).
  • The Python online course will require 5 hours every week.

    No, since the Python online course is self-paced, you cannot. But our student support team will be with you 24*7.

    Yes, you may. Our training will enable you to create your own project. Our support staff is also committed to help you along the way. Alternately, you can work on one of the projects in our repertoire to implement what you learn.

    We will provide you with a guide to install and configure the software. Our support team will help you with any doubts and queries in the process.

    Yes, we grant all our students lifelong access to the course dashboard.

    The Python online course will prepare you for one the following careers: Python Programmer, Big Data Developer, Data Scientist. You will be eligible for these positions after receiving Python certification.

    Machine learning skills are in huge demand due to the value they offer. Computers offer new avenues of looking at or learning from data that are just humanly impossible. They allow organizations to benefit from insights that humans are not able to derive from the vast amounts of data that is available to them today. For this reason, organizations are rushing to hire professionals with machine learning skills. And with the huge demand, 6 out of 10 developers are also already learning or looking to learn machine learning skills.

    Entry-level Python programmers earn between Rs 3,00,000 and Rs 5,00,000 on average.

    Mail us at [email protected] with your mobile number and we will reach out to you.

    You can pay after registering for the course. We accept most credit and debit cards. You can also pay via net banking. Our payment portal has an EMI option if you wish to pay in installments.

    To request a refund, write to us at [email protected] You may apply for a refund in the first three days after paying the fees. No requests will be entertained after this initial period. The terms and conditions of Acadgild’s refund policy may be revised without prior notice. Please check the website for updates on this policy.

    You can write to us at [email protected] with your contact details. Our representatives generally respond to requests within 24 hours.

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