Python-Introduction to Data Science and Machine learning A-Z

Python basics Learn Python for Data Science Python For Machine learning and Python Tips and tricks

4.35 (3680 reviews)

Udemy

platform

English

language

Data Science

What you will learn

Uderstand the basics of python programming

learning all the basic mathematical concepts

Understand the basics of Data science and how to perform it using Python

Learn to use different python tools specialisez for data science

Improve your python programming by integrating new concepts

Learning the basics of Machine learning

Perform various analysis with sklearn

Finish the course with a complete understand of all the core concepts of Data science and all the required tools to perform it with python

Course Gallery

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Python-Introduction to Data Science and Machine learning A-Z – Screenshot 3 — Screenshot 3 – Python-Introduction to Data Science and Machine learning A-Z

Python-Introduction to Data Science and Machine learning A-Z – Screenshot 4 — Screenshot 4 – Python-Introduction to Data Science and Machine learning A-Z

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Comidoc Review

Our Verdict

This course offers a wide-ranging introduction to Python programming for data science and machine learning. While providing valuable insights across various topics, the delivery of some lessons can be improved by ensuring clearer explanations, more consistent terminology, and higher video resolution for better visibility. Nonetheless, learners seeking an initial overview and practical experience may find it helpful to start their journey here, complemented by further self-directed research as needed.

What We Liked

Covers a wide range of topics from Python basics, data science, and machine learning, providing a comprehensive overview
Includes practical exercises that can help learners better understand the concepts taught in the course
The instructor provides clear explanations on how to install necessary Python libraries through PyCharm
Provides a good starting point for those who want to get into data science and machine learning using Python

Potential Drawbacks

Some lessons can be difficult to follow due to the lack of transcripts or clear explanations, making it hard for learners to take notes or try out coding examples
Instructor's terminology may sometimes be unclear and inconsistent, causing confusion among learners
Important concepts are not always clearly explained and demonstrated, leaving some learners searching for additional information online
The video resolution is quite low (720p), which can make it challenging to see the code in the videos