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50-Days 50-Projects: Data Science, Machine Learning Bootcamp (Udemy.com)

Build & Deploy Data Science, ML, Deep Learning Projects Course(Python, Flask, Django, AWS, Azure, GCP, Heruko Cloud)

Created by: Pianalytix

Last updated October 2025

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What you will learn

  • Make robust Machine Learning models
  • Understand the full product workflow for the machine learning lifecycle.
  • Real life case studies and projects to understand how things are done in the real world
  • Know which Machine Learning model to choose for each type of problem
  • Learn how to program in Python using the latest Python 3
  • Learn to pre process data, clean data, and analyze large data
  • Learn to use NumPy for Numerical Data
  • Learn to use Pandas for Data Analysis
  • Have a great intuition of many Machine Learning models

How it compares

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

  • Rating4.3 out of 5higher than 17% of them
  • Reviews131#390 of 462 by number of reviews
  • Length46.5 hourslonger than 94% of them
  • Last updatedOctober 2025earlier than 50% 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 can be defined as a blend of mathematics, business acumen, tools, algorithms, and machine learning techniques, all of which help us in finding out the hidden insights or patterns from raw data which can be of major use in the formation of big business decisions.

In data science, one deals with both structured and unstructured data. The algorithms also involve predictive analytics. Thus, data science is all about the present and future. That is, finding out the trends based on historical data which can be useful for present decisions, and finding patterns that can be modeled and can be used for predictions to see what things may look like in the future.

Data Science is an amalgamation of Statistics, Tools, and Business knowledge. So, it becomes imperative for a Data Scientist to have good knowledge and understanding of these.

With the amount of data that is being generated and the evolution in the field of Analytics, Data Science has turned out to be a necessity for companies. To make the most out of their data, companies from all domains, be it Finance, Marketing, Retail, IT or Bank. All are looking for Data Scientists. This has led to a huge demand for Data Scientists all over the globe. With the kind of salary that a company has to offer and IBM is declaring it as the trending job of the 21st century, it is a lucrative job for many. This field is such that anyone from any background can make a career as a Data Scientist.

In This Course, We Are Going To Work On 50 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: Sentiment Analysis Django App -Deploy On Heroku

Project-22: Attrition Rate Django Application

Project-23: Find Legendary Pokemon Django App -Deploy On Heroku

Project-24: Face Detection Streamlit App

Project-25: Cats Vs Dogs Classification Flask App

Project-26: Customer Revenue Prediction App -Deploy On Heroku

Project-27: Gender From Voice Prediction App -Deploy On Heroku

Project-28: Restaurant Recommendation System

Project-29: Happiness Ranking Django App -Deploy On Heroku

Project-30: Forest Fire Prediction Django App -Deploy On Heroku


Project-31: Build Car Prices Prediction App -Deploy On Heroku

Project-32: Build Affair Count Django App -Deploy On Heroku

Project-33: Build Shrooming Predictions App -Deploy On Heroku

Project-34: Google Play App Rating prediction With Deployment On Heroku

Project-35: Build Bank Customers Predictions Django App -Deploy On Heroku

Project-36: Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku

Project-37: Build Medical Cost Predictions Django App -Deploy On Heroku

Project-38: Phishing Webpages Classification Django App -Deploy On Heroku

Project-39: Clothing Fit-Size predictions Django App -Deploy On Heroku

Project-40: Build Similarity In-Text Django App -Deploy On Heroku


Project-41: Heart Attack Risk Prediction Using Eval ML (Auto ML)

Project-42: Credit Card Fraud Detection Using Pycaret (Auto ML)

Project-43: Flight Fare Prediction Using Auto SK Learn (Auto ML)

Project-44: Petrol Price Forecasting Using Auto Keras

Project-45: Bank Customer Churn Prediction Using H2O Auto ML

Project-46: Air Quality Index Predictor Using TPOT With End-To-End Deployment (Auto ML)

Project-47: Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)

Project-48: Pizza Price Prediction Using ML And EVALML(Auto ML)

Project-49: IPL Cricket Score Prediction Using TPOT (Auto ML)

Project-50: Predicting Bike Rentals Count Using ML And H2O Auto ML


Tip: Create A 50 Days Study Plan, Spend 1-2hrs Per Day, Build 50 Projects In 50 Days.


The Only Course You Need To Become A Data Scientist, Get Hired And Start A New Career


Note (Read This): This Course Is Worth Of Your Time And Money, Enroll Now Before Offer Expires.

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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

131 ratings on Udemy

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

By Joao Victor Barbosa on 9/4/2024

The accent is hard to understand

By Biswajit Gochhayat on 5/23/2023

as per your advertisement, i think you are going to give me an end to end project developments with proper explanation..so I am not satisfied with it.

By Ramya on 12/28/2022

each and everything is well explained..thankyou

By Ambrus Török on 9/2/2022

The course is inconsistent with detailing. Sometimes it explains tons of details, while sometimes it barely explains any. I do not need the whole theory background, but it would be good to know where one or two numbers came from. The questions are not answered.

By Oyewale Daniel Oyewola on 6/30/2022

The processes were well explained and can be understood even by beginners with little python knowledge

By Crispin Kalala Mukanya on 5/4/2022

It's a great experience to study from this instructor. The content is of high quality in deed.

By Malcolm marshall on 11/16/2021

Very easy to follow, felt very satisfying to build projects and solve any errors I encountered on the way. Definitely helped me improve my knowledge of data science, python programming!

By Safura Haneef on 10/27/2021

A very good learning curve for me as a beginner.

By Hahn Angie on 10/20/2021

I’ve put a lot of hours into this course and I’m still learning. Videos are easier to grasp than books or written lectures.

By Gloria Hadleigh on 10/13/2021

I made it through this incredible course. It was a great experience that gave me knowledge of data science projects but there's still plenty of work to do!

Showing all 10 reviews on CourseDuck

Read all 131 reviews on Udemy

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Overall Score : 86 / 100