Understand the basics of Python programming and its syntax
Work with variables, data types, and operators
Write control flow statements using if
, else
, and elif
Use loops (for
, while
) to iterate over data
Create and use functions to write reusable code
Handle errors and exceptions in Python
Work with data structures: lists, tuples, sets, and dictionaries
Perform file input and output operations
Import and use Python libraries and modules
Understand the basics of Object-Oriented Programming (OOP)
Build small real-world Python applications
Gain confidence to pursue advanced Python topics like web dev, data science, or automation
Beginners with no programming experience
Students exploring computer science or software development
Professionals transitioning into tech or upskilling
Anyone interested in automating tasks or solving problems with code
Write clean, efficient Python code
Solve basic programming challenges
Build functional Python scripts and mini-projects
Be prepared to advance to intermediate Python or specialized tech courses
This lesson explores the individuals who would benefit the most from this course. It is mainly intended for individuals from differents background including non-tech individuals.
This lesson explores data science current trends in the market place
Opportunities available for data scientists
What exactly does data scientits do?
In this lesson we want to understand what is programming and different programmig languages
This lesson elaborates why python is the preferred language for Data Science and Data Analytics Projects
This lesson explores Jupyter Notebook environment an a coding environment for data scientists and data analysts
This lesson Google Colab as an advancement of Jupyter Notebook
Watch Class Recording
This video explores some of the essential components in any programming languages
This lessons what is a variable, its use cases and naming convensions.
This lesson explores what is python in a practical project
This lesson explores practically the first program written in python
This lesson reviews variables and their assignment operations
Copy and paste the source code below in a Jupyter Notebook code, the program sends inspirational quotes randomly every time you execute the code cell
Copy and Paste the code in your Jupyter Notebook Code cell then run the cell to play the game.
This lesson explores various types of data you can interact with in python
This lesson explores the signifiance of variables in data storage
This lesson explores numeric data types in python and some of their operations
This lesson explores the string data types and the operations associated to them
The lesson explores the list Data Type and some of the methods that can be used in a list data type
This lesson explores tuple as a sequence data type in python
This lesson explores sets data types and some of its operation like union, intersection, difference, disjoint etc.
This lesson explores dictonary data type where we store in key-value pair
This lesson examines python boolean data types and their significance in conditional and looping operations
This course is a prerequisite to Data Analytics & Data Science Courses.