Python Python with OOPs Concepts and Data Analysis 0.0 Sounak Basak Coming Soon All Level English Available Batches: 0
Interactive Live Learning
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Knowledge & tools are required

  • There are Many development tools and software of python like Jupyter Notebook, Spyder, Pycharm, etc!
  • However, it is not enough to just master the language itself. Surprisingly, that might be the easiest step in becoming a Python developer.!
  • Mostly due to the fact that Python became a solution in many different areas from web applications to data science and machine learning.!
  • Python developers are in high demand - not only because the language is so popular and widely used.!

Who should take this course

  • Anyone wants to choose their career in computer engineering, Machine Learning, Artificial Intelligence, IoT, Data Science, etc.!
  • Anyone above 10 years of age, School students and college students who like to do programming and fond of computer technology.!


  • The course will help students to understand the optimal logic and train them to convert that logic into efficient code.!
  • By the end of the course, students will be well-versed with the concepts of Data Science and Algorithms; become an expert in Problem Solving.!
  • This course will make students eligible for the different job roles like Software Engineer, Python Developer, Research Analyst, Data Analyst, Data Scientist.!

Skills you gain

  • Data Analysis
  • Basic Python
  • Python
  • Object Oriented Concepts
  • Data Handling
  • Statistics


Python is a language with a simple syntax and a powerful set of libraries. It is an interpreted language, with a rich programming environment, including a robust debugger and profiler. While it is easy for beginners to learn, it is widely used in many scientific areas for data exploration. 

This course is an introduction to the Python programming language for students without prior programming experience. We cover data types, control flow, object-oriented programming, and graphical user interface-driven applications.

 The examples and problems used in this course are drawn from diverse areas such as text processing, simple graphics creation, and image manipulation, HTML and web programming, and genomics.


31 Aug Python Introduction
data types, variables, User input

03 Sep Python Basics
tuples, dictionaries, sets

07 Sep Control flow Statement
if, else, elif

10 Sep Python Loops I
for loop

14 Sep Python Loops II
while loop, break and continue

17 Sep Function
Lambda Function

21 Sep Python Arrays
access elements in arrays and loops in arrays

24 Sep Object-oriented programming concepts
Class and Objects

28 Sep Python modules I

01 Oct Python modules II

05 Oct Python Inheritance
Concept of Parent and Child class

08 Oct Python Exception Handling
Exception handling through keywords

12 Oct Python Pandas
Introduction of Pandas

15 Oct Python Numpy
Introduction of Numpy

19 Oct Numpy Data Types
Data types of numpy

22 Oct Numpy Arrays
creating of array elements in numpy

26 Oct Numpy Arrays II
Array Indexing

29 Oct Numpy Arrays III
Array Slicing

02 Nov Numpy Arrays IV
Array Shaping and Reshaping

05 Nov Numpy Arrays V
Array sorting and Filtering

Instructor Details

Robotics And Stem Instructor And Former Software Developer
Courses Published

Experienced as a Robotics Engineer and STEM Instructor with knowledge of EV3 Robotics, LEGO Robotics, Arduino, Python, IoT, Scratch Programming, App development, and Technology and also experienced as a Software Developer(Full-Stack) with knowledge of ASP.NET, Entity Framework, MVC, C#, and Angular JS. Since I have both teaching and industrial experience, I can handle both theory and programming subjects with ease. And I have hands-on knowledge in programming and hence easy to solve the problems in any programming language.


12 Sep - 20 Jan
Timings : 07:30 PM - 08:10 PM

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Discussion Forum

Om Thakur
2022-01-18 12:37:50


Rahul Gupta
2021-11-03 12:36:12
Interactive Live Learning
Certificate of Completion
Full Life time access to materials