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Python for Data Science From Basics to Machine Learning

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Free Download Python for Data Science From Basics to Machine Learning
Published 2/2026
Created by IEM Learning
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 14 Lectures ( 4h 38m ) | Size: 3.43 GB


Learn NumPy, Pandas, visualization, and machine learning with hands on projects and real world datasets.

What you'll learn


✓ Understand Python fundamentals and use core libraries like NumPy and Pandas for data analysis.
✓ Clean, manipulate, and explore datasets using real-world data science techniques.
✓ Create meaningful data visualizations using Matplotlib and Seaborn.
✓ Apply basic statistical concepts and exploratory data analysis to uncover insights.
✓ Build and evaluate simple machine learning models using scikit-learn.

Requirements


● No

Requirements

or prerequisites needed

Description


Welcome to the Python for Data Science Course, your complete step by step guide to learning Python for data analysis, visualization, and machine learning. This course is designed especially for beginners and aspiring data professionals who want a practical and easy way to understand data science and apply it to real world problems with confidence.
You will begin with the fundamentals of Python, including installation, basic syntax, and working with tools like Jupyter Notebook and VS Code. Once you are comfortable with the basics, you will explore powerful libraries such as NumPy, Pandas, and Matplotlib. These tools will help you clean data, perform analysis, and create clear and meaningful visualizations.
As you progress, you will be introduced to machine learning concepts using scikit learn. You will build simple models for regression and classification and understand how to evaluate their performance through guided examples.
The course includes quizzes, coding exercises, mini projects, and hands on assignments that strengthen your problem solving skills. You will also learn how to write clean code, work responsibly with datasets, and interpret results correctly.
By the end of the course, you will be able to analyze data, create visual stories, and build basic machine learning models using Python, giving you a strong foundation for further study or a career in data science.

Who this course is for


■ Students, professionals, and anyone who wants to build a strong foundation in Python for Data Science , career-transforming skill.

Homepage


https://www.udemy.com/course/python-for-data-science-basics


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