This course offers a beginner-friendly introduction to Python programming, data analysis, and machine learning basics. You'll learn Python syntax, data manipulation, and visualization using libraries like NumPy and pandas. No prior programming experience needed, just basic computer skills and internet access.
What Will You Learn?
- Foundational Python Knowledge
- Effective Problem Solving
- Data Analysis Competence
- Machine Learning Basics
- Real-World Project Experience
- Programming with Confidence
- Versatile Python Skills
- Real Life and Industry Grade Projects
Requirements
- No Prior Experience Needed
- Computer with Internet Access
- Commitment to Learning
- Curiosity and Problem-Solving Attitude
- Optional: Math and Statistics Background
Curriculum
-
Course Overview and Setting Up Python
Python Syntax and Variables
Basic Input and Output
Comments and Documentation
Conditional Statements (if, else if, else)
Loops (while, for)
Control Flow and Logical Operators
Exception Handling
Data Types (int, float, str, list)
Lists and Tuples
Functions and Parameters
Return Statements and Scope
Reading and Writing Files
Handling CSV and JSON Data
Practice Exercises
-
Introduction to Object-Oriented Programming
Classes and Objects
Inheritance and Polymorphism
Modules and Packages
Working with Dictionaries and Sets
Introduction to Libraries (e.g., NumPy, pandas)
Practice Exercises
-
Introduction to Data Analysis with Python
NumPy: Arrays and Data Manipulation
Data Cleaning and Preparation with pandas
Data Visualization with Matplotlib and Seaborn
Exploratory Data Analysis (EDA) with real-world datasets
Practice Exercises
-
Introduction to Basic Machine Learning
Types of Machine Learning
Supervised Learning Algorithms
Regression
Classification
Unsupervised Learning Algorithms
Clustering
K-Means Clustering
Model Evaluation and Validation
Recall
Precision
F1-Score
Accuracy
Practice Exercises
-
Weekly Quizzes and Assignments
Python projects
Data Analysis project
Machine Learning project
Your Instructor
Riffat Siddiqui
Software EngineerI'm a Cutting-Edge AI Alchemist with a Master's in the Art of Artificial Intelligence and a robust software engineering foundation. I've forged AI wonders that keep on giving, showcased my groundbreaking research on grand stages, and wield mastery over the enchanting tools of TensorFlow, Keras, and PyTorch.
My expertise straddles the realms of software sorcery and AI wizardry, weaving together ingenious solutions and crystal-clear communication. I proudly bear a Master's degree from the University of Essex, adorned with the distinction, and a prestigious silver medal for my Bachelor's in Software Engineering.