Machine Learning & Data Science A-Z: Hands-on Python (Udemy.com)
Learn NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, Scipy and develop Machine Learning Models in Python
Created by: Navid Shirzadi
Last updated July 2026
What you will learn
- Understanding the basic concepts
- Complete tutorial about basic packages like Numpy and Pandas
- Data Visualization
- Data Preprocessing
- Understanding the concept behind the algorithms
- Developing different kinds of Machine Learning models
- Knowing how to optimize your models' hyperparameters
- Learn how to develop models based on the requirement of your future business
How it compares
Against the other 155 rated Udemy courses in Machine Learning on CourseDuck:
- Rating4.2 out of 5higher than 28% of them
- Reviews1,256#54 of 156 by number of reviews
- Length14.5 hourslonger than 72% of them
- Last updatedJuly 2026more recently than 89% of them
Course Description
Are you interested in data science and machine learning, but you don't have any background, and you find the concepts confusing?
Are you interested in programming in Python, but you always afraid of coding?
I think this course is for you!
Even if you are familiar with machine learning, this course can help you to review all the techniques and understand the concept behind each term.
This course is completely categorized, and we don't start from the middle! We actually start from the concept of every term, and then we try to implement it in Python step by step. The structure of the course is as follows:
Chapter1: Introduction and all required installations
Chapter2: Useful Machine Learning libraries (NumPy, Pandas & Matplotlib)
Chapter3: Preprocessing
Chapter4: Machine Learning Types
Chapter5: Supervised Learning: Classification
Chapter6: Supervised Learning: Regression
Chapter7: Unsupervised Learning: Clustering
Chapter8: Model Tuning
Furthermore, you learn how to work with different real datasets and use them for developing your models. All the Python code templates that we write during the course together are available, and you can download them with the resource button of each section.
Remember! That this course is created for you with any background as all the concepts will be explained from the basics! Also, the programming in Python will be explained from the basic coding, and you just need to know the syntax of Python.
Instructor Details
- 4.2 Rating
1,256 Reviews
Navid Shirzadi
Welcome! I'm Navid Shirzadi, and I'm thrilled that you've taken the time to visit my profile.
As a research scientist, I hold a doctoral degree in engineering and boast over ten years of invaluable experience in the fascinating realm of controlling integrated energy systems. My expertise lies in employing mathematical optimization strategies to tackle complex challenges within this field.
I am well-versed in Python programming and proficient in developing cutting-edge machine learning and deep learning models for various applications. My contributions to the field have been recognized through numerous publications centered around the design and implementation of intelligent control strategies for energy systems, utilizing the power of machine learning, deep learning, and artificial intelligence.
In essence, my passion lies in the realm of Data Science and Machine Learning, and I find immense satisfaction in applying optimization techniques to solve real-world problems. I genuinely look forward to sharing my knowledge and experiences with you!
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Reviews
By Anonymized User on 5/8/2026
Tutorials are practical and good examples of applying concepts. The theory behind concepts is often at times lacking or not explained fully
By Teimuraz Jalayev on 5/28/2022
It is not a bad introduction to DS and ML field but it feels somewhat superficial. All the concepts can be learned on one's own and similar free lectures can be found on Youtube. That said if you can grab this course with a gift coupon or high discount, it may be worth it, though I wouldn't call the course A-Z.
By Nazar Stakhovskyi on 12/10/2021
The tutor does a good job explaining the concepts before showing how to develop the solutions, which sometimes proves crucial for understanding what's going on. Some issues are sometimes left with very little explanation (if any), but those are infrequent. Also, be sure that you have covered python basics before approaching this course - otherwise you might be stuck understanding the syntax of all the functions and methods. Overall, it's a decent course that I would gladly recommend!
By Ankur Kuldeep on 7/4/2021
course is almost complete but that much detailed because i have done some assignments with real life data and there are so many things which we have to do and apart from that visualization techniques are also very limited here although in real life we have to visualize so many things ..otherwise its ok for beginners .
By Chaital D. Magade on 6/17/2021
This courses is very easy to understand the machine learning concepts with practical implementation. It has helped me to clear my concepts for when to use the algorithm for classification, regression and cluster. Thank you for making such wonderful content.
By Aayush Ojha on 5/26/2021
I actually belong to a biology background, having a very limited knowledge of Python and Maching Learning. However, the course helped me understand evrything very easily. I was kind of lost at some mathematics part of the models because of very little explanations about them ( in MLR, PLR and SVR). Overall, I thoroughly enjoyed the course.
By Shubhajit Chakraborty on 5/17/2021
It could have been better if you could clearly made us understand a few concepts . for eg. in first video of Supervised learning why do we use the iloc[:,n].
By Harsh Vora on 4/14/2021
This course covers major concepts required to start your journey in Data Science using Python right from the basics. I enjoyed this course, and I didn't feel compelled to complete it, the pace and flow was perfect. Kudos to Mr. Shirzadi.
By Adedayo Okubanjo on 4/5/2021
I really enjoyed taking this course. The facilitator took a lot of time to explain and simplify every concept before doing the hands on which was very helpful. A huge thank you to the facilitator for creating such an amazing course that simplifies a complex topic like Machine Learning.
By Hooman Shirzadi on 2/19/2021
Was a perfect course so far. The instructor has started from the scratch and covered basics and detail information so that everybody including students with zero experience in coding could understand the course thoroughly.
Quality Score
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Overall Score : 84 / 100











![[2026] Machine Learning: Natural Language Processing (V2)](/programming/machine-learning/images/4294434_daf2_5.jpg?v=1789268237)
