What You'll Learn
- Understand the fundamentals of Matplotlib, NumPy, and Pandas for data analysis and visualization.
- Create professional bar charts, pie charts, scatter plots, and histograms using Matplotlib.
- Master essential NumPy operations including slicing, broadcasting, and filtering.
- Work confidently with multidimensional arrays and perform arithmetic and aggregate functions.
- Combine Pandas and Matplotlib to visualize real-world datasets effectively.
- Generate and manipulate random numbers using NumPy for AI and ML data simulations.
- Customize plots with labels, grid lines, and subplots for professional-quality presentations.
- Build a strong foundation in Python libraries essential for Artificial Intelligence and Machine Learning projects.
- Gain practical, hands-on experience with data visualization and computation tools used in real-world AI workflows.
Requirements
- A computer (Windows, macOS, or Linux) with internet access
- Basic understanding of Python programming (variables, loops, and functions).
- Eagerness to learn and explore AI and ML foundations.
- No prior experience with NumPy, Pandas, or Matplotlib required — everything is explained step by step.
Who This Course is For
- Complete beginners who want to start learning AI and Machine Learning from scratch
- Students interested in understanding the core subjects before taking advanced AI or Data Science courses
- Aspiring AI Engineers, Data Scientists, or ML Developers who want to master the foundations first
- Professionals from non-technical backgrounds who want to transition into tech or AI-related careers
- Programmers and developers who want to strengthen their math, Python, and data handling skills for AI
- Anyone curious about Artificial Intelligence and Machine Learning and eager to learn the right way
- It’s also ideal for data science students, programmers, or AI enthusiasts who want to master the essential Python libraries that form the foundation of modern AI workflows.
Your Instructor
Alexander Knox
Developer and Lead Instructor
0.0 Instructor Rating
-- Reviews
12,371 Students
3 Courses
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