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Data Science Marathon: 120 Projects To Build Your Portfolio (Udemy.com)

Build 120 Projects in 120 Days- Data Science, Machine Learning, Deep Learning (Python, Flask, Django, AWS, Heruko Cloud)

Created by: Pianalytix

Last updated September 2025

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What you will learn

  • Real life case studies and projects to understand how things are done in the real world
  • Implement Machine Learning algorithms, Present Data Science projects to management
  • Use SciKit-Learn for Machine Learning Tasks
  • Explore how to deploy your machine learning models.
  • Have a great intuition of many Machine Learning models
  • Learn which Machine Learning model to choose for each type of problem
  • Learn best practices when it comes to Data Science Workflow
  • Learn to pre process data, clean data, and analyze large data
  • Learn to use NumPy for Numerical Data
  • Use Matplotlib to create fully customized data visualizations with Python.
  • Explore large datasets and wrangle data using Pandas
  • Learn to use Seaborn for statistical plots

How it compares

Against the other 461 rated Udemy courses in Data Science on CourseDuck:

  • Rating4.3 out of 5higher than 17% of them
  • Reviews243#320 of 462 by number of reviews
  • Length133.5 hourslonger than 99% of them
  • Last updatedSeptember 2025earlier than 51% of them

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Course Description

In This Course, Solve Business Problems Using Data Science Practically. Learn To Build & Deploy Machine Learning, Data Science, Artificial Intelligence, Auto Ml, Deep Learning, Natural Language Processing (Nlp) Web Applications Projects With Python (Flask, Django, Heroku, AWS, Azure, GCP, IBM Watson, Streamlit Cloud).

Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. Data science practitioners apply machine learning algorithms to numbers, text, images, video, audio, and more to produce artificial intelligence (AI) systems to perform tasks that ordinarily require human intelligence. In turn, these systems generate insights which analysts and business users can translate into tangible business value.

More and more companies are coming to realize the importance of data science, AI, and machine learning. Regardless of industry or size, organizations that wish to remain competitive in the age of big data need to efficiently develop and implement data science capabilities or risk being left behind.



In This Course, We Are Going To Work On 120 Real World Projects Listed Below:


Project-1: Pan Card Tempering Detector App -Deploy On Heroku

Project-2: Dog breed prediction Flask App

Project-3: Image Watermarking App -Deploy On Heroku

Project-4: Traffic sign classification

Project-5: Text Extraction From Images Application

Project-6: Plant Disease Prediction Streamlit App

Project-7: Vehicle Detection And Counting Flask App

Project-8: Create A Face Swapping Flask App

Project-9: Bird Species Prediction Flask App

Project-10: Intel Image Classification Flask App


Project-11: Language Translator App Using IBM Cloud Service -Deploy On Heroku

Project-12: Predict Views On Advertisement Using IBM Watson -Deploy On Heroku

Project-13: Laptop Price Predictor -Deploy On Heroku

Project-14: WhatsApp Text Analyzer -Deploy On Heroku

Project-15: Course Recommendation System -Deploy On Heroku

Project-16: IPL Match Win Predictor -Deploy On Heroku

Project-17: Body Fat Estimator App -Deploy On Microsoft Azure

Project-18: Campus Placement Predictor App -Deploy On Microsoft Azure

Project-19: Car Acceptability Predictor -Deploy On Google Cloud

Project-20: Book Genre Classification App -Deploy On Amazon Web Services


Project 21 : DNA classification for finding E.Coli - Deploy On AWS

Project 22 : Predict the next word in a sentence. - AWS - Deploy On AWS

Project 23 : Predict Next Sequence of numbers using LSTM - Deploy On AWS

Project 24 : Keyword Extraction from text using NLP - Deploy On Azure

Project 25 : Correcting wrong spellings - Deploy On Azure

Project 26 : Music popularity classification - Deploy On Google App Engine

Project 27 : Advertisement Classification - Deploy On Google App Engine

Project 28 : Image Digit Classification - Deploy On AWS

Project 29 : Emotion Recognition using Neural Network - Deploy On AWS

Project 30 : Breast cancer Classification - Deploy On AWS


Project-31: Sentiment Analysis Django App -Deploy On Heroku

Project-32: Attrition Rate Django Application

Project-33: Find Legendary Pokemon Django App -Deploy On Heroku

Project-34: Face Detection Streamlit App

Project-35: Cats Vs Dogs Classification Flask App

Project-36: Customer Revenue Prediction App -Deploy On Heroku

Project-37: Gender From Voice Prediction App -Deploy On Heroku

Project-38: Restaurant Recommendation System

Project-39: Happiness Ranking Django App -Deploy On Heroku

Project-40: Forest Fire Prediction Django App -Deploy On Heroku


Project-41: Build Car Prices Prediction App -Deploy On Heroku

Project-42: Build Affair Count Django App -Deploy On Heroku

Project-43: Build Shrooming Predictions App -Deploy On Heroku

Project-44: Google Play App Rating prediction With Deployment On Heroku

Project-45: Build Bank Customers Predictions Django App -Deploy On Heroku

Project-46: Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku

Project-47: Build Medical Cost Predictions Django App -Deploy On Heroku

Project-48: Phishing Webpages Classification Django App -Deploy On Heroku

Project-49: Clothing Fit-Size predictions Django App -Deploy On Heroku

Project-50: Build Similarity In-Text Django App -Deploy On Heroku


Project-51: Black Friday Sale Project

Project-52: Sentiment Analysis Project

Project-53: Parkinson’s Disease Prediction Project

Project-54: Fake News Classifier Project

Project-55: Toxic Comment Classifier Project

Project-56: IMDB Movie Ratings Prediction

Project-57: Indian Air Quality Prediction

Project-58: Covid-19 Case Analysis

Project-59: Customer Churning Prediction

Project-60: Create A ChatBot


Project-61: Video Game sales Analysis

Project-62: Zomato Restaurant Analysis

Project-63: Walmart Sales Forecasting

Project-64 : Sonic wave velocity prediction using Signal Processing Techniques

Project-65 : Estimation of Pore Pressure using Machine Learning

Project-66 : Audio processing using ML

Project-67 : Text characterisation using Speech recognition

Project-68 : Audio classification using Neural networks

Project-69 : Developing a voice assistant

Project-70 : Customer segmentation


Project-71 : FIFA 2019 Analysis

Project-72 : Sentiment analysis of web scrapped data

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Instructor Details

Pianalytix

At Pianalytix Edutech Pvt Ltd, we are dedicated to revolutionizing education through innovative methodologies. With a reach spanning over 97,000 students, we're committed to providing an immersive learning experience that goes beyond traditional teaching approaches. Our real-world project-oriented methodology ensures that students not only understand theoretical concepts but also gain practical skills that are directly applicable in the workplace.

By combining cutting-edge technology with project-based learning, we empower individuals to master Data Science, Machine Learning, Python, Power BI, Tableau, Data Engineering, and more. Our goal is to add value to the lives of 1 million students by equipping them with the knowledge and skills needed to succeed in today's competitive job market.

Moreover, we extend our expertise to businesses, leveraging the power of Artificial Intelligence to optimize processes, enhance efficiency, and drive profitability. Join us at Pianalytix Edutech Pvt Ltd as we redefine education and empower individuals and businesses to thrive in the digital age.

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Reviews

4.3

243 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Sujal Pagere on 3/18/2025

Running very fast , not explaining properly in deep and just scrolling the notebook

By Nicole Martin on 3/10/2025

I really liked this course! It has a great collection of projects that cover a lot of different topics in data science.

By Nikhila on 1/19/2023

the data analysis part was like just going through the code, it was not based on any reasoning , and there were no insights given

By Darshan Ramesh Bhiwapurkar on 12/14/2022

The explanation was good and satisfactory. Gives us the overall idea so that we can present this explanation to the interviewer as well. Thank you

By Ramesh Khanna on 11/17/2022

He is an excellent instructor, he covers every topic thoroughly and provides in depth labs that help cement the material you learn in each section as well as build upon knowledge learned from previous sections.

By Jasminder Singh on 11/12/2022

You do get a high level overview of the mathematics of each machine learning technique, which I think will be sufficient for most people. There are lots of projects within the course, which really help you learn and understand the content.

By Mohammed Waseem on 11/8/2022

This course give you the tools and resources to understand how data science and machine learning can be used to gain a further knowledge about data that we want to explore deeply.

By Charles Parker on 10/23/2022

I`m having a very good experience, though it was hard to understand his accent at the beginning, now I'm completely used to it.

By William Smith on 10/17/2022

I would recommend anyone who is looking to start a career on machine learning to sign up for this course.

By Rashel Sheikh on 10/14/2022

It was an outstanding experience with this real-time project, I've leaned so many things with this project. Thank you!

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Overall Score : 86 / 100