Master Data Analysis with Python: Visualize Data, Clean Datasets, Analysis Using Matplotlib, Seaborn, Pandas and NumPy
Python Data Analysis – Matplotlib, Seaborn, Pandas & NumPy
What you’ll learn
- 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.
Course Content
- Python Fundamentals –> 6 lectures • 32min.
- Data Manipulation with Pandas –> 6 lectures • 38min.
- Data Visualization with Matplotlib & Seaborn –> 6 lectures • 35min.
- Data Analysis with NumPy –> 4 lectures • 26min.
- Introduction to Machine Learning –> 4 lectures • 30min.
- Working with APIs and Web Data –> 4 lectures • 21min.
Requirements
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.