At Avid Python, it is our aim to enable students to obtain modern skills according to industry requirements that will help them succeed in their career.

In an era of recorded lectures, we believe in interactive live classes that focus on providing skill enhancement to students and young professionals. Understanding the latest technology and industry requirements, Avid Python focuses on skill building that will help students in placements preparation and career advancements.

We as a skill development startup not only provide skill development training, we also plan to develop a collaborative community that can help students find better jobs and career prospects.

Avid Python offers different courses in data analytics and Python programming to facilitate skill development in students. Currently, we are offering three courses, one each on Python programming, Data Analytics, and SQL.

About the Skill Enhancement Program

This skill enhancement cum certification program has been designed for students pursuing MBA, MCA, and B.Tech (Computer Science) , BCA and other related courses who have little or no knowledge about programming and data analytics. Professionals from academia and other domains are also invited to attend the course.

The main features of this program include:

  • Live Classes (Students will be provided recording of classes if they miss the class for any reason).
  • Bilingual Instruction Medium (English and Hindi).
  • Unlimited access to Course Material.
  • Doubt clearing sessions for all the students (Optional to attend).
  • Weekly Assignments and Practical based Evaluation.
  • Internship assistance for the rest of the students. 
  • 1:1 Dedicated mentorship for support to students.

Let us now have a detailed look at different courses offered in the program.

Python Programming ↗

Python is one of the most widely used programming languages. Due to a large number of frameworks and libraries, python almost makes every task a cakewalk. We, at Avid Python strive to provide high quality course content rich in concepts, examples and illustrations so that you can easily learn python programming in an interesting manner.

The Syllabus for the Python programming course includes the following topics.

  • Introduction and Installation
  • Data types in Python
  • Operators in Python
  • Conditional Statements
  • Loops in Python
  • Data Structures
  • Functions in Python
  • File Handling 
  • Error Handling in Programs
  • Project: Tic Tac Toe Game

Data Analysis With Python ↗

Before proposing remedies, you will need to break down the specifics systematically to understand the fundamental cause of business challenges. To improve your analytical and problem-solving skills, We are offering this data analytics course  so you can tackle business difficulties with ease.

The Syllabus for the Data Analytics with Python course  includes the following topics:-

  • Basics of Data Analysis
  • Data Cleaning
  • Basic Statistical Description of Data
  • Numpy Library
  • Pandas Library
  • Matplotlib Library
  • Manipulating Spreadsheets using Python
  • Text Manipulation in Python
  • Frequent Pattern Mining
  • Project: Market Basket Analysis

SQL ↗

The rate at which we produce and consume data is increasing every day. Organizations all over the world are recruiting data specialists like business analysts and data scientists to mine and discover insights from the massive treasure trove of data in order to make informed decisions based on data. One of the most crucial tools needed for this is SQL. We have designed the syllabus for this course in such a manner that you will find it easiest to learn.

The Syllabus for the SQL   includes the following topics:-

  • Database Installation and Overview
  • Fundamental Of SQL
  • Data Manipulation Language
  • Data Definition Language
  • Data Types and Constraints in MySQL
  • SQL for Data Query
  • Data Updation and Deletion
  • Use of SQL in the industry

Course Registration Form

For registration in this skill enhancement program, please fill out this form.

Contact Us:

For Queries, Contact us at: [email protected] or [email protected].