Data Science Real World Projects in Python (Udemy.com)
Build Data Science Projects in Machine Learning , Deep Learning , NLP , Time Series to Become Job-Ready Data Scientist
Created by: Shan Singh
Last updated April 2026
What you will learn
- Work on Real-World Data Science Projects in Machine Learning , NLP , Time Series and Recommendation Systems
- Develop time series forecasting models to predict Prices of stocks
- Learn how to map your Problem into Data Science problem
- Learn best practices for real-world data sets - cleaning, merging, and visualizing
- Develop Machine Learning and Recommender System Projects that showcase your skills
How it compares
Against the other 461 rated Udemy courses in Data Science on CourseDuck:
- Rating4.2 out of 5higher than 9% of them
- Reviews1,570#109 of 462 by number of reviews
- Length16.3 hourslonger than 73% of them
- Last updatedApril 2026more recently than 70% of them
Course Description
Check out what Other says :
"He is an awesome instructor! Explained all concepts clearly with great teaching and execution. Thank you for this wonderful course."
— Aravindan R
"The practical utility of the learning experience has been well designed, making the course truly interesting and engaging."
— Sangita Bhadra
"Great course! I learned a lot and highly recommend it to anyone interested in machine learning. Extremely helpful and easy to follow."
— Adesan Orire Newman
Are you looking to land a top-paying job in Data Science or Machine Learning ?
Or are you a seasoned AI practitioner who want to take your Data Science career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence?
If the answer is yes to any of these questions, then this course is for you !
Why Data Science, Why Now ?
Data Science is one of the fastest-growing and highest-paying tech fields — full of global career opportunities
Learn Data Science Projects in Python — from Machine Learning Projects , Time Series projects and Recommender System Projects
Explore how real-world data is transforming industries like Banking, Healthcare, Airlines, Logistics & Technology
Build the skills, confidence, and portfolio needed to become a job-ready Data Scientist or ML Engineer
Projects You’ll Build
1.Task #1 @Airline Price Prediction — Predict airfare using Machine learning models
2.Task #2 @Building Alexa Voice Assistant — Build Alexa-like Voice Assistant using Deep learning models
3.Task #3 @Password Strength Checker — Classify passwords as Strong, Good, or Weak using Natural Langauge processing
4.Task #4 @Recommendation System — Suggest items based on user behavior using Recommender System
5.Task #5 @Stock Price Forecasting — Build Time Series models for stock prediction
Each project uses real-world data — messy, imperfect, and business-relevant — just like in industry.
What You’ll Learn in This Course :
This course will give you a full overview of the Data Science journey , Once u complete this course you will know:
Experience the real challenges every Data Scientist faces — messy, incomplete, and inconsistent data
How to collect , clean and prepare your data for analysis
How to Apply Machine Learning techniques and build real-world Data Science Projects step by step
How to perform curve fitting, data modeling, and prediction for practical business use cases
Build Recommender System Projects, Deep Learning Projects, ML Projects, and Time Series Forecasting Models
And finally, how to present your findings and wow the audience
Why should you take this Course?
Learn through real Data Science Projects — not toy datasets — to gain true industry-level experience like how Data Scientist or ML Engineer works !
Work on Machine Learning Projects, Deep Learning Project , Recommender System Projects, NLP, and Time Series — all using Python
Master the end-to-end Data Science process — from cleaning real-world data to building ML, NLP & Time Series projects.
Gain both technical coding skills and business acumen — understand not just how to code, but why decisions matter
Build a portfolio of Data Science Projects in Python that showcases your practical expertise
Guaranteed Satisfaction: Otherwise, get your money back with 30-Days-Money-Back-Guarantee..
Your Portfolio After Completing This Course :
You will graduate with 5 fully completed real-world projects, making your resume stand out:
Machine Learning Project
Deep Learning Project
NLP Project
Recommendation system Project
Time Series Forecasting Project
This greatly improves your chances in interviews and job applications.
Instructor Details
- 4.2 Rating
1,570 Reviews
Shan Singh
Great courses for beginners/working Professionals
If anyone has questions about which course may work best for them, please feel free to contact or message me..
I will teach you the real-world skills necessary to stand out from the crowd. Whether it’s a Data Science , Data Analysis , Machine Learning , Time Series or Natural Language Processing skills and more here..
Query resolution 24*7
One-on-one support from experts that truly want to help you
Query resolution (QnA) - Within 2-3 hours in day time
Hardly it can be 8-10 hours..
learn by doing
Step-by-step tutorials and project-based learning.
more about Shan
Professionally, I am a Data Scientist having experience of 7 years in finance, E-commerce, retail and transport. From my courses you will straight away notice how I combine my real-world experience to deliver content in a easiest fashion. To sum up, I am absolutely passionate about Data Analytics and I am looking forward to sharing my own knowledge with you!
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Reviews
By Tien Le on 6/27/2026
On the Stock Forcasting, it's actually doing very bad job. He only evaluated the model by calculating RMSE, but, he doesn't compare that number to what. Says, if he compare to a trivial guess, which guess the tomorrow price = today price, his model would lose to a trivial guess. The materials he taught was so low level that I started learned ML for 2 months and already saw this is a joke.
By Shiv kumar shah on 5/9/2026
I really appreciate the way he is teaching me here. Its like providing me psychological strength that i can do and become a ML Engineer or NPL. I know watching the vedios is not enough unless i practice more and more. But the way of teaching is great. Hatsoff.
By Rahul kumar on 5/7/2026
CONCEPTS ARE AWESOME! SPECIALLY THE WAY , ML & DL projects have been explained ! THEY are very well explained ! 100/100 ! SHAN SINGH is such a gem ! WAITING for more courses on Agentic & GenAI ! HIGHLY RECOMMENDED !
By Abhishek Jaiswal on 2/20/2026
Well designed real world projects created by the instructor. Learnt a lot while building the projects from model building to deployment on production. Thanks a lot.
By Benny Jabez on 3/12/2025
I understood a lot about DS and the life cycle in general, how it works, and how we can apply it to real-world applications. Being new to Data Science and working directly on the projects helped me even in the theory part of my subject. Overall, this course really helped me!!!!!!
By Rahul Nandi on 3/12/2023
Expected better oration of course module. Sometimes it becomes difficult to follow the course lecture. Second, expected proportionate hands on in python workbook vis-a-vis theory.
By Abbas Nadim on 9/6/2022
The class is very informative and brief. it would be nice if the theory and major points would be available in form of manuscripts in order to have fast review.
By Sujay Shrivastava on 1/15/2022
as i am a novice i'm facing some issues, also some issues when i'm exactlt doing the same thing. I have to find some explainations from the internet. apart from these issues i'm actually learning really well. This course has been really helpful in starting my journey in the field.
By maithali kulkarni on 8/8/2021
Liked the way of teaching very much also step by step execution and on time explanation help in understanding the concepts more efficiently. Thanks a lot for such a course.
By Aravindan R on 8/7/2021
He is very aweome!, He explanied very well all over the concepts and nice teaching and execution, thankyou so much for this aweomse course. Thanks a lot!
Quality Score
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Overall Score : 84 / 100






