( 3 Reviews )

Hands on with Python: For Absolute Beginners


( 3 Reviews )

Course Level

All Levels

Total Hour


Video Tutorials


Course content



Course Introduction

Course Contents


About Course

Python is incredibly versatile. It has applications in a variety of fields, from its more well-known ones in data science and software engineering to ones like mobile app development, artificial intelligence, and machine learning.

What can you do with python?

Some things include:

  • Data analysis and machine learning
  • Web development
  • Automation or scripting
  • Software testing and prototyping
  • Everyday tasks

Machine learning and data analysis

Python has established itself as a mainstay in data science, enabling data analysts and other experts to utilize the language to perform intricate statistical computations, design machine learning algorithms, handle and analyze data, and perform other data-related tasks. Python can create a wide variety of data visualizations, including line and bar graphs, pie charts, histograms, and three-dimensional plots.

Website development

The components of a website or program that users don’t see—the back end—are frequently developed using Python. Sending data to and from servers, processing data and interacting with databases, URL routing, and maintaining security are all possible uses of Python in web development. Python provides a number of web development frameworks. Django and Flask are examples of frequently used ones. Back-end engineers, full-stack engineers, Python developers, software engineers, and DevOps engineers are a few web development positions that employ Python. Scripting or automation is the process of creating computer code for these automated procedures. Even absolute beginners can use Python to automate straightforward computer chores like renaming files, locating and downloading internet information, or sending emails or SMS on a schedule.

After completing this course you will –

  • Have a fundamental understanding of the Python programming language.
  • Have the skills and understanding of Python to applying for Python programming jobs confidently.
  • Acquire the pre-requisite Python skills to move into specific branches – Machine Learning, Data Science, etc.
  • Understand how to create your own Python programs.
  • Learn Python from experienced professional software developers.

You may have a look at  –

How to prepare for studying online

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What to learn?

How to write and execute python code on google colab. How to declare a variable. Datatypes of Python. List, Tuples, Dictionary, and sets. Conditional Operator. Loops. Some frequently used pre-define functions.


  • People new to programming
  • Who is interested in Machine Learning, data science, or web programming.


3.67 /5

1 Courses

Student Ratings & Reviews

Total 3 Ratings
Not good
11 months ago
It was very interactive course.
Md. Shahriar Shakil
11 months ago
Excellent Course.
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