Plans & Pricing

Get immediate access to 50+ solved end-to-end Big Data and Data Science Projects. Videos + Code + Datasets.

Personal 6 Month

$  438 
$ 219 for 6 months ( 50% off - till Jan 17th )

Personal Annual

$  478 
$ 239 per year ( 50% off - till Jan 17th )

50+ Big Data & Data Science projects
Over 250+ hours of videos
Downloadable Code
New projects added every month
Learning Paths
Email Technical Support
50+ Big Data & Data Science projects
Over 250+ hours of videos
Downloadable Code
New projects added every month
Learning Paths
Email Technical Support

Customer Love :)

Shailesh Kurdekar

Solutions Architect at Capital One

I have worked for more than 15 years in Java and J2EE and have recently developed an interest in Big Data technologies and Machine learning due to a big need at my workspace. I was referred here by a... Read More

Nathan Elbert

Senior Data Scientist at Tiger Analytics

This was great. The use of Jupyter was great. Prior to learning Python I was a self taught SQL user with advanced skills. I hold a Bachelors in Finance and have 5 years of business experience.. I... Read More

Swati Patra

Systems Advisor , IBM

I have 11 years of experience and work with IBM. My domain is Travel, Hospitality and Banking - both sectors process lots of data. The way the projects were set up and the mentors' explanation was... Read More

Mike Vogt

Information Architect at Bank of America

I have had a very positive experience. The platform is very rich in resources, and the expert was thoroughly knowledgeable on the subject matter - real world hands-on experience. I wish I had this... Read More

Trusted by thousands of employees from

Bank of America
Goldman Sachs
JP Morgan


  • This is the only product in the world that provides pre-built, verified, end-to-end project recipes in Machine Learning and Big Data
  • Impress your boss by having on-demand access to pre-built, reusable project solutions using the latest frameworks like Tensorflow, PySpark, BERT etc
  • Get assigned to hot projects in Machine Learning and Big Data in your company and have the confidence to work on these projects with the help of our reusable solutions.
  • Impress your job interviewers with implementation knowledge on a variety of real world live projects.
  • Reduce the time you spend on your projects by 60% by reusing our verified code solutions.
  • Overcome your fear of getting stuck in a live project and no one to help you and having a tight delivery deadline. You will find reusable solutions to many common business problems in our library.
  • Each project is end-to-end all the way from data sourcing, ingestion, data analysis, visualisation and deployment.
  • With an easy enrolment option get the expertise of top Data Scientists and Big Data Engineers from companies such as Uber, Netflix, Yahoo, Paypal etc.
  • Stay updated in the latest Big Data and Machine Learning tools being launched every week. We launch 3-5 projects every month.

Frequently Asked Questions

How does the ProjectPro subscription work?
Once you subscribe, you will immediately have unlimited access to all projects and resources. There’s no limit on what you can learn and you can cancel at any time. You also get access to the new projects added to the library every month.
Is the fees only for a single stream big data or machine learning ?
No - the annual subscription gives you unlimited access to both the streams. You will get access to all our projects in both big data and machine learning
Can I get some more information about your company and team ?
Of course, please click here to read more about our team and what we believe in. Our contact information is here.
What do you mean by end-to-end machine learning projects ?
Every machine learning project of ours implements the full life cycle: Sourcing the data -> Exploratory data analysis (EDA) -> Data cleaning -> Data manipulation -> Modelling -> Hyper parameter tuning -> Testing -> Visualisation -> Deployment.
What do you mean by end-to-end big data projects ?
Every big data project of ours implements the full pipeline: Sourcing the data -> Ingestion (batch or streaming) -> Initial data analysis -> Moving to data store -> Complex data analysis -> Moving analysed data to storage -> Visualisation -> Deployment.
Who is implementing these projects ?
All our projects are implements by industry experts from companies such as Uber, JP Morgan, Paypal, Apple, Amazon etc. They implement projects similar to the live projects they have deployed in their work environments.
What is inside each project ?
  • Solution code that solves the business problem
  • Datasets
  • Videos explaining the solution
  • Detailed documentation to help you with the tools
Once I enrol, do I get access to all new projects that you add ?
Yes - every month we add 4-5 new projects. You don't have to pay anything extra for this. You can even tell us what kind of projects you would like us to add and we will use your feedback to prioritise our projects roadmap.
How does this help in my job interviews and current projects ?
  • Demonstrate that you can be useful immediately on live projects - Companies like to hire candidates who don't have to be trained much.
  • Convey your passion and enthusiasm for the domain - Companies like to hire candidates who do extra side projects.
  • Troubleshoot your live projects with our ready-to-use code.
What are the pre-requisites ?
We offer learning paths to guide you from basic to advanced projects. All our projects are self contained and come with all the pre-requisite materials needed. As long as you know coding in any language, these projects will work for you.
Do you provide technical support?
Yes our technical support team will answer you questions within 24 hours.
How are these projects better than doing a course?
Courses are mostly theoretical with a few projects. What we offer is 100% projects with a little bit of theory. No matter how many courses you take, you will get stuck in real industry projects. We solve that problem for you and give you confidence to face real industry projects.
Do you provide a lab environment?
All our users use the free tier offered by AWS and Azure for 6 months.
Can I cancel my plan?
Yes. You can cancel your plan anytime. Your subscription will remain active till end of your subscription period.
What happens when I cancel my plan?
Your membership will remain active till end of your subscription period. Once your subscription period ends, you will not be billed any further.
Do you store my credit card details?
ProjectPro does not store your credit card details. We partner with international payment gateway Stripe to offer this subscription service. All your payment details are stored on their secure servers. Once you cancel your subscription, we will not be billing you any further. If you wish to close your account and delete your payment information on Stripe - please send an email to

Get Access to All 62 Projects

Data Science Projects
  • Walmart Sales Forecasting Data Science Project
  • Predict Credit Default | Give Me Some Credit Kaggle
  • Predict Employee Computer Access Needs in Python
  • Data Science Project in Python on BigMart Sales Prediction
  • Forecast Inventory demand using historical sales data in R
  • Ensemble Machine Learning Project - All State Insurance Claims Severity Prediction
  • Predict Macro Economic Trends using Kaggle Financial Dataset
  • Credit Card Fraud Detection as a Classification Problem
  • Time Series Forecasting with LSTM Neural Network Python
  • Zillow’s Home Value Prediction (Zestimate)
  • Data Science Project - Instacart Market Basket Analysis
  • Machine Learning or Predictive Models in IoT - Energy Prediction Use Case
  • Choosing the right Time Series Forecasting Methods
  • Music Recommendation System Project using Python and R
  • Predict Churn for a Telecom company using Logistic Regression
  • Mercari Price Suggestion Challenge Data Science Project
  • Data Science Project on Wine Quality Prediction in R
  • Human Activity Recognition Using Smartphones Data Set
  • Deep Learning with Keras in R to Predict Customer Churn
  • German Credit Dataset Analysis to Classify Loan Applications
  • Build an Image Classifier for Plant Species Identification
  • Learn to prepare data for your next machine learning project
  • Solving Multiple Classification use cases Using H2O
  • Perform Time series modelling using Facebook Prophet
  • Predict Census Income using Deep Learning Models
  • Sequence Classification with LSTM RNN in Python with Keras
  • Data Science Project-TalkingData AdTracking Fraud Detection
  • Identifying Product Bundles from Sales Data Using R Language
  • Ecommerce product reviews - Pairwise ranking and sentiment analysis
  • Loan Eligibility Prediction using Gradient Boosting Classifier
  • Machine Learning project for Retail Price Optimization
  • Customer Churn Prediction Analysis using Ensemble Techniques
  • Natural language processing Chatbot application using NLTK for text classification
  • Resume parsing with Machine learning - NLP with Python OCR and Spacy
  • Customer Market Basket Analysis using Apriori and Fpgrowth algorithms
Big Data Projects
  • Analyse Yelp Dataset with Spark & Parquet Format on Azure Databricks
  • Hive Project - Visualising Website Clickstream Data with Apache Hadoop
  • Movielens dataset analysis for movie recommendations using Spark in Azure
  • Web Server Log Processing using Hadoop
  • Hadoop Project-Analysis of Yelp Dataset using Hadoop Hive
  • Airline Dataset Analysis using Hadoop, Hive, Pig and Impala
  • Real-time Auto Tracking with Spark-Redis
  • Data Warehouse Design for E-commerce Environments
  • Online Hadoop Projects -Solving small file problem in Hadoop
  • Analysing Big Data with Twitter Sentiments using Spark Streaming
  • Data processing with Spark SQL
  • Spark Project -Real-time data collection and Spark Streaming Aggregation
  • Yelp Data Processing Using Spark And Hive Part 1
  • PySpark Tutorial - Learn to use Apache Spark with Python
  • Yelp Data Processing using Spark and Hive Part 2
  • Hadoop Project for Beginners-SQL Analytics with Hive
  • Real-Time Log Processing using Spark Streaming Architecture
  • Real-Time Log Processing in Kafka for Streaming Architecture
  • Explore features of Spark SQL in practice on Spark 2.0
  • Tough engineering choices with large datasets in Hive Part - 1
  • Tough engineering choices with large datasets in Hive Part - 2
  • Implementing Slow Changing Dimensions in a Data Warehouse using Hive and Spark
  • Finding Unique URL's using Hadoop Hive
  • Design a Hadoop Architecture
  • Create A Data Pipeline Based On Messaging Using PySpark And Hive - Covid-19 Analysis
  • Spark Project-Analysis and Visualization on Yelp Dataset
  • Event Data Analysis using AWS ELK Stack