Description
“Python for Data Science – Jupyter, NumPy, Pandas, and Matplotlib” is a course published by the online academy Udemy. You will learn how to work with data, perform numerical computations, manipulate datasets, and create meaningful visualizations using some of the most widely used libraries in the Python ecosystem. You will explore how Jupyter Notebook facilitates interactive coding and experimentation, how NumPy simplifies numerical operations, and how Pandas assists in cleaning, transforming, analyzing, and organizing structured data. Furthermore, you will develop your visualization skills using Matplotlib by building graphs and charts that reveal hidden patterns, trends, and insights within datasets.
Through practical examples and hands-on exercises, you will strengthen your Python programming skills and gain a deeper understanding of the data analysis process. Whether you are a beginner, an aspiring data analyst, or a programmer interested in data-driven applications, this course provides a solid foundation for exploring data science with Python. Throughout the course, you will cover Python fundamentals—including variables, data types, strings, lists, tuples, sets, and dictionaries—work with conditional statements and loops, write functions, perform numerical calculations with NumPy, analyze and organize data with Pandas, and create visualizations with Matplotlib. This comprehensive, step-by-step journey offers a deep, practical understanding of how these concepts are applied in real-world scenarios, preparing you for data science work using Python.
What you will learn in Python for Data Science – Jupyter NumPy Pandas Matplotlib:
- Introduction of Python.
- Installation of Anaconda & Comments.
- Variables in Python.
- Python Outputs.
- Fundamental Data Types.
- and …
Course specifications
Publisher: Udemy
Instructors: Uday Academy
Language: English
Level: Introductory to Advanced
Number of Lessons: 32
Duration: 15 hours and 3 minutes
Course topics
Python for Data Science – Jupyter NumPy Pandas Matplotlib Prerequisites
No prior programming experience is required — this course starts from absolute basics.
A computer or laptop
Basic knowledge of using a computer and the internet.
Willingness to learn and practice Python programming.
Internet connection to install required software such as Python / Anaconda.
No prior knowledge of Data Science, NumPy, Pandas, or Matplotlib is needed.
Pictures
Python for Data Science – Jupyter NumPy Pandas Matplotlib introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
6.1 GB