Overview
What is Data Science?, Why Python for Data Science?, Introduction to Jupyter Notebooks, Variables, Data Types, and Operators, Control Flow: Conditionals and Loops, Working with Modules and Packages, Error Handling and Assertions, Introduction to Pandas: Series and DataFrames, Reading & Writing Data (CSV, Excel, JSON), Data Cleaning & Preprocessing, Handling Missing Values & Duplicates, Data Transformation & Feature Engineering, Creating, Indexing, and Slicing Arrays, Mathematical Operations with NumPy, Useful NumPy Functions for Data Science, Introduction to Data Visualization, Plotting with Matplotlib, Seaborn for Statistical Graphics, Advanced Charts: Heatmaps, Pairplots, and Violin Plots, Identifying Patterns, Outliers & Trends, Using Pandas Profiling & Sweetviz
Anyone who wants to work with data using Python, Students preparing for data science or analytics careers, Beginners who want to learn Python for Data Science, Professionals looking to switch into data analytics or data science
No prior data science experience needed
Python for Data Science is the most in-demand skill for data analysts, data scientists, and machine learning engineers. This course is a complete, beginner friendly, and practical guide to learning data science using Python — no prior experience required.
You’ll learn how to analyze data, clean datasets, visualize insights, and work with real-world data using the most popular Python libraries used by professionals in the industry.
This course focuses on hands-on learning, helping you build real data science skills you can apply immediately in projects, jobs, and interviews.
What You’ll Learn
By the end of this course, you will be able to:
Use Python for data science and data analysis
Work confidently with NumPy and Pandas
Clean, transform, and manipulate real world datasets
Perform Exploratory Data Analysis (EDA)
Visualize data using Matplotlib and Seaborn
Understand basic statistics for data science
Apply Python to solve real business and data problems
Build a strong foundation for machine learning and AI
Why This Course Works
Beginner friendly with step by step explanations
Hands-on coding exercises and practice datasets
Real world examples used by data professionals
Clear explanations without unnecessary complexity
Designed for career growth and job readiness
Why Learn Python for Data Science?
Python is the #1 programming language for data science, analytics, and machine learning. By mastering Python for data science, you open the door to high paying roles, data driven decision making, and advanced technologies like AI and machine learning.
Enroll now and start your journey into Python for Data Science 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