Overview
Introduction to Python, Data Types and Variables, Operators and Expressions, Control Flow (if/else, loops), Functions and Modules, Introduction to Pandas, Data Loading and Cleaning, Data Filtering and Selection, Introduction to Matplotlib, Creating Basic Plots, Working with Subplots, Introduction to Seaborn, Exploratory Data Analysis with Seaborn, Introduction to NumPy Arrays, Array Operations and Broadcasting, Linear Algebra with NumPy, Machine Learning Concepts, Supervised Learning Algorithms, Model Evaluation and Selection, Introduction to APIs, Making API Requests, Web Scraping Techniques
Beginners who want to get started with Python data analysis, Students and professionals looking to strengthen analytical skills, Business analysts, researchers, and engineers working with data, Anyone who wants to visualize and understand data more effectively
Basic Python knowledge is helpful but not required, No prior experience with data analysis or visualization needed
Python Data Analysis – Matplotlib, Seaborn, Pandas & NumPy
Unlock the power of data with Python Data Analysis – Matplotlib, Seaborn, Pandas & NumPy, a practical, hands-on course designed to help you analyze, visualize, and understand data like a professional data analyst.
In this course, you’ll learn how to use Python’s most popular data analysis and visualization libraries to turn raw data into meaningful insights. Whether you’re working with business data, research datasets, or real-world CSV files, you’ll gain the skills needed to clean, analyze, and present data effectively.
I start from the fundamentals and gradually move to advanced techniques, ensuring you build confidence at every step. By the end of the course, you’ll be able to perform complete data analysis workflows and create professional quality visualizations.
What You’ll Learn
Understand the fundamentals of Python for data analysis
Work efficiently with data using NumPy arrays
Clean, manipulate, and analyze datasets with Pandas
Perform descriptive statistics and exploratory data analysis
Create clear and insightful visualizations using Matplotlib
Build advanced, beautiful statistical plots with Seaborn
Analyze real-world datasets and extract actionable insights
Combine Pandas, NumPy, Matplotlib, and Seaborn into a complete data analysis workflow
Why Take This Course?
Beginner friendly with step-by-step explanations
Real-world examples and practical exercises
Focused on in-demand skills used by data analysts and data scientists
Perfect balance of theory and hands-on coding
Ideal foundation for careers in data science, analytics, and machine learning
By enrolling in Python Data Analysis – Matplotlib, Seaborn, Pandas & NumPy, you’ll gain practical, job ready skills that you can apply immediately to real projects.
Start your data analysis journey today and turn data into insights with confidence.
Muhammad Riaz Uddin
Hi, I’m Muhammad Riaz Uddin
I have 6 years of experience working in Artificial Intelligence, Data Analysis, Web Development, and Web Design. Over the years, I’ve worked on real-world projects that blend problem-solving, creativity, and practical implementation.
My teaching style focuses on simplifying complex concepts and explaining them in a way that’s easy to understand, even for complete beginners. I believe the best way to learn is by doing, so my courses emphasize practical examples, step-by-step guidance, and real-world projects.
On Udemy, my goal is to help students build strong technical foundations, gain confidence in their skills, and apply what they learn to real scenarios—whether they’re just starting out or looking to level up their expertise.
Let’s learn, build, and grow together