Jupyter Notebook overview for all Python developers

Anaconda Installation

Jupyter Notebook Introduction

Jupyter Notebook Interface Walkthrough

Cell Types & Modes

Shortcuts & Magic commands

Publishing & Sharing Jupyter Notebook


  • There are no requirements or prerequisites for this course


This course is designed for all python developers who are eager to learn different features and functions of Jupyter notebook. This course will provide you complete knowledge and understanding of frequently used Jupyter notebook features. With the help of this course, your productivity and coding skills will reach the next level.

This course is for all the developers from beginners to advance, if you are a new Python developer or an experienced one, you will definitely learn something new in this course.

We’ll start our course with an introduction to Anaconda and Jupyter notebook. After the introduction, Anaconda installation will be performed and I will show you how to start writing code in Jupyter Notebook. Our next step will be to go through Menu tabs and all options inside each tab to get familiar with their functions. We’ll also look at Cell types, Modes, Shortcuts and Magic Commands. At the end we’ll see how can we publish the Jupyter notebook file on a website or blog and how can we share it with other team members.

Who this course is for:

  • Python Developers
  • Data Scientists
  • Data Analysis

Course content

Lets Learn Python

Learn python basics.

What is python. Why do we use it

How to install Python(Anaconda vs direct install)

Write and execute your python code from Jupyter notebook, notepad and Spyder.

Python programming basics like working with strings, list, dictionaries etc.

Python Statements, IF ELIF ELSE, FOR Loops and WHILE loops

Methods and Functions in Python

Code your own mini game


  • A laptop or a PC.
  • Prior programming knowledge good to have but not a must.


This course has been designed for anyone who wants to learn the basics of python. You will learn:

  1. What is python ?
  2. What are various ways to install python on your PC or desktop
  3. How to deal with numbers and strings in python
  4. What are Data Structures in python
  5. What are python statements, IF ELIF ELSE, For Loop and While Loop
  6. What are Methods and Functions in python
  7. Create a mini game, Rock Paper and Scissors in python
  8. What next – what are various applications of python across industries.

Who this course is for:

  • Students who wants to learn python basics
  • One who want to understand fundamentals of python before taking deep dive in python or areas like machine learning.

Course content

Python Tutorials for Beginners

Introduction to Python, Anaconda 3 and Jupyter Notebook


  • No programming experience needed. You will learn everything you need to know


Today, we are all surrounded with full of data.

Data can be in the form of structured data(eg: Tables, and worksheets), or unstructured data (free text fields or comments from social media).

Data can also be in the form of a bi-product produced during day-to-day transactions.

For example, when we are buying something from supermarkets, we are issued a resit upon payment. The resit is a bi-product as our intention is not to collect the resit but to retrieve all the goods that we purchased from the supermarket. If we take a look at the receipt, it has sufficient data as evidence that we bought the specific product from the supermarket. It has all the required data to perform a return when the product bought has defects. It has the date purchased, the location of the store, and the list of products, unit cost, and quantities purchased.

The question is:

1. How can we further increase our revenue with the data that we have?

2. How can we predict customer purchasing behavior?

3. How can we know what all the necessary products the customer would buy if they had purchased a certain product?

Data is the core of an AI model, which utilizes data input for the model to train, test, and learn from the data.

The usage of Machine Learning has allowed computers to perform predictions and provides suggestions to humans based on the data input that has been fed into the machine.

The AI Model would predict what is the next purchase of the customer, based on the data that has been fed into the model.

Join now to know more about Python as a basic step toward Data Science. 

The Objective of the course:

To provide a very understanding of the basic functionality of Python.

Learning Outcomes:

1. How to install and configure Python.

2. Python Function and Class Objects.

3. Data Types – String and Numeric.

4. Python Data Structure – List and Data Dictionary.

Python Tutorials, Anaconda 3, Jupyter Notebook, Python 3

Who this course is for:

  • IT Fresh Graduates
  • Data Scientist Beginners

Course content

4 sections • 22 lectures • 1h 24m total length

Implementation of ML Algorithm Using Python

python programming


  • anaconda


we learn lots of dataset how to predict values using different machine learning algorithm. problem-solving oriented subject that learns to apply scientific techniques to practical problems. The course orients on practical classes and self-study during preparation of datasets and programming of data analysis tasks. This course takes you through all the important modules that you need to know about, including machine learning and programming languages.

Who this course is for:

  • Beginners Python developer

Course content