Solved end-to-end Data Science projects

Solved
end-to-end
Data Science projects

Get ready to use coding projects for solving real-world business problems

explanation image

Videos

Each project comes with 2-5 hours of micro-videos explaining the solution.

ipython image

Code & Dataset

Get access to 50+ solved projects with iPython notebooks and datasets.

project experience

Project Experience

Add project experience to your Linkedin/Github profiles.

Apache Hadoop Projects

See All

In this Databricks Azure tutorial project, you will use Spark Sql to analyse the movielens dataset to provide movie recommendations. As part of this you will deploy Azure data factory, data pipelines and visualise the analysis.

In this big data project, we'll work through a real-world scenario using the Cortana Intelligence Suite tools, including the Microsoft Azure Portal, PowerShell, and Visual Studio.

In this project, we will evaluate and demonstrate how to handle unstructured data using Spark.

Apache Hive Projects

See All

In this hive project, you will design a data warehouse for e-commerce environments.

In this spark project, we will continue building the data warehouse from the previous project Yelp Data Processing Using Spark And Hive Part 1 and will do further data processing to develop diverse data products.

Learn to write a Hadoop Hive Program for real-time querying.

Apache Hbase Projects

See All

The goal of this IoT project is to build an argument for generalized streaming architecture for reactive data ingestion based on a microservice architecture. 

In this big data project, we will look at how to mine and make sense of connections in a simple way by building a Spark GraphX Algorithm and a Network Crawler.

In this big data project, we will be performing an OLAP cube design using AdventureWorks database. The deliverable for this session will be to design a cube, build and implement it using Kylin, query the cube and even connect familiar tools (like Excel) with our new cube.

Apache Pig Projects

See All

In this big data project, we will discover songs for those artists that are associated with the different cultures across the globe.

Hadoop Project- Perform basic big data analysis on airline dataset using big data tools -Pig, Hive and Impala.

Hadoop HDFS Projects

See All

In this hadoop project, we are going to be continuing the series on data engineering by discussing and implementing various ways to solve the hadoop small file problem.

Apache Oozie Projects

See All

In this hadoop project, you will be using a sample application log file from an application server to a demonstrated scaled-down server log processing pipeline.

In this spark streaming project, we are going to build the backend of a IT job ad website by streaming data from twitter for analysis in spark.

In this PySpark project, you will simulate a complex real-world data pipeline based on messaging. This project is deployed using the following tech stack - NiFi, PySpark, Hive, HDFS, Kafka, Airflow, Tableau and AWS QuickSight.

Apache Impala Projects

See All

In this hive project, you will design a data warehouse for e-commerce environments.

In this Apache Spark SQL project, we will go through provisioning data for retrieval using Spark SQL.

Explore hive usage efficiently in this hadoop hive project using various file formats such as JSON, CSV, ORC, AVRO and compare their relative performances

Apache Flume Projects

See All

In this spark streaming project, we are going to build the backend of a IT job ad website by streaming data from twitter for analysis in spark.

In this hadoop project, we are going to be continuing the series on data engineering by discussing and implementing various ways to solve the hadoop small file problem.

In this Spark project, we are going to bring processing to the speed layer of the lambda architecture which opens up capabilities to monitor application real time performance, measure real time comfort with applications and real time alert in case of security

Apache Sqoop Projects

See All

In this hadoop project, learn about the features in Hive that allow us to perform analytical queries over large datasets.

The goal of this Spark project is to analyze business reviews from Yelp dataset and ingest the final output of data processing in Elastic Search.Also, use the visualisation tool in the ELK stack to visualize various kinds of ad-hoc reports from the data.

Spark SQL Projects

See All

In this Databricks Azure project, you will use Spark & Parquet file formats to analyse the Yelp reviews dataset. As part of this you will deploy Azure data factory, data pipelines and visualise the analysis.

The goal of this spark project for students is to explore the features of Spark SQL in practice on the latest version of Spark i.e. Spark 2.0.

In this Databricks Azure tutorial project, you will use Spark Sql to analyse the movielens dataset to provide movie recommendations. As part of this you will deploy Azure data factory, data pipelines and visualise the analysis.

Spark GraphX Projects

See All

The goal of this spark project is to analyse the level and strength of interactions across areas of coverage of a telecom provider between different areas in the city of Milan.

In this Neo4j project, you will do network analysis using a graph database to find patterns on how a social network affects business reviews and ratings.

In this big data project, we will look at how to mine and make sense of connections in a simple way by building a Spark GraphX Algorithm and a Network Crawler.

Spark Streaming Projects

See All

The goal of this hadoop project is to apply some data engineering principles to Yelp Dataset in the areas of processing, storage, and retrieval.

Spark Project - Discuss real-time monitoring of taxis in a city. The real-time data streaming will be simulated using Flume. The ingestion will be done using Spark Streaming.

The goal of this IoT project is to build an argument for generalized streaming architecture for reactive data ingestion based on a microservice architecture. 

Spark MLlib Projects

See All

Learn to perform 1) Twitter Sentiment Analysis using Spark Streaming, NiFi and Kafka, and 2) Build an Interactive Data Visualization for the analysis using Python Plotly.

In this Hackerday, we will go through the basis of statistics and see how Spark enables us to perform statistical operations like descriptive and inferential statistics over the very large dataset.

Apache Spark Projects

See All

In this hive project, you will design a data warehouse for e-commerce environments.

In this PySpark project, you will simulate a complex real-world data pipeline based on messaging. This project is deployed using the following tech stack - NiFi, PySpark, Hive, HDFS, Kafka, Airflow, Tableau and AWS QuickSight.

In this project, we will evaluate and demonstrate how to handle unstructured data using Spark.

PySpark Projects

See All

PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.

In this project, we are going to talk about insurance forecast by using regression techniques.

This Elasticsearch example deploys the AWS ELK stack to analyse streaming event data. Tools used include Nifi, PySpark, Elasticsearch, Logstash and Kibana for visualisation.

Apache Zepellin Projects

See All

In this big data project, we'll work with Apache Airflow and write scheduled workflow, which will download data from Wikipedia archives, upload to S3, process them in HIVE and finally analyze on Zeppelin Notebooks.

In this big data project, we will talk about Apache Zeppelin. We will write code, write notes, build charts and share all in one single data analytics environment using Hive, Spark and Pig.

Apache Kafka Projects

See All

Hadoop Projects for Beginners -Learn data ingestion from a source using Apache Flume and Kafka to make a real-time decision on incoming data.

In this Spark project, we are going to bring processing to the speed layer of the lambda architecture which opens up capabilities to monitor application real time performance, measure real time comfort with applications and real time alert in case of security

In this big data project, we will see how data ingestion and loading is done with Kafka connect APIs while transformation will be done with Kafka Streaming API.

Neo4j Projects

See All

In this big data project using Neo4j, we will be remodelling the movielens dataset in a graph structure and using that structures to answer questions in different ways.

In this Neo4j project, you will do network analysis using a graph database to find patterns on how a social network affects business reviews and ratings.

Redis Projects

See All

Spark Project - Discuss real-time monitoring of taxis in a city. The real-time data streaming will be simulated using Flume. The ingestion will be done using Spark Streaming.

Use the RACE dataset to extract a dominant topic from each document and perform LDA topic modeling in python.

Given big data at taxi service (ride-hailing) i.e. OLA, you will learn multi-step time series forecasting and clustering with Mini-Batch K-means Algorithm on geospatial data to predict future ride requests for a particular region at a given time.

Microsoft Azure Projects

See All

In this Databricks Azure project, you will use Spark & Parquet file formats to analyse the Yelp reviews dataset. As part of this you will deploy Azure data factory, data pipelines and visualise the analysis.

In this Databricks Azure tutorial project, you will use Spark Sql to analyse the movielens dataset to provide movie recommendations. As part of this you will deploy Azure data factory, data pipelines and visualise the analysis.

Google Cloud Projects GCP

See All

In this GCP Project, you will learn to build a data processing pipeline With Apache Beam, Dataflow & BigQuery on GCP using Yelp Dataset.

AWS Projects

See All

In this AWS Project, you will build an end-to-end log analytics solution to collect, ingest and process data. The processed data can be analysed to monitor the health of production systems on AWS.

Big Data Projects with Source Code

Every year, people looking to begin their big data career run into a familiar conundrum - 

"How can I land a big data job with limited experience in this field?".

For an emerging field like big data, finding internships or full-time big data jobs requires you to showcase relevant achievements working with popular open-source big data tools like Hadoop, Spark, Kafka, Pig, Hive, and more. Big data and project-based learning are a perfect fit. The best way to get started is to begin working on diverse big data project titles under the mentorship of industry experts. Professionals will love working on these big data projects because it's like a secret. There is so much practical learning involved you don't realize it. ProjectPro's big data projects are perfect for beginners, college students, engineering students, professionals wanting to make a career switch, and anyone who wants to master big data skills with hands-on experience. 

Big Data Projects for Beginners

If you have a graduate degree in analytics or a relevant field from a top-tier college, it is easy for you to get a big data job. Employers believe that you will be able to add value to their business because of the prestige of the college that has awarded you the degree, and the reality that it is in a subject that is relevant to the kind of skills they are looking for. If you do not have an analytics degree from a top-tier college then you need to build that trust yourself that you have the big data skills that the employer is looking for. The best way to build trust with the hiring manager is to work on interesting big data project ideas and build a portfolio of multiple big data projects - Hadoop projects, spark projects, hive projects, Kafka projects, impala projects, and more. The more "real-world" the big data projects are, the more the hiring manager will trust that you will be an asset to their organization, and the greater are your chances of landing the big data job. The best thing about big data careers is that the work you do on building diverse big data projects often looks exactly similar to the work you will do once you are hired.

For IT professionals or anybody with basic big data knowledge, Dezyre's mini projects on big data will help them take responsibility in solving challenging data problems, and help gain expertise on the popular big data tools like Hadoop, Spark, Hive, Pig,

Big Data Projects for Engineering Students

The good news for people in search of big data projects for CSE students is that there are a couple of websites that have big data projects with source code. If you google for search terms like "big data projects GitHub" or "big data projects Quora", you might find suggestions on multiple big data project titles, however, for students on the hunt for big data final year projects, titles and source code is not what all they need for learning. Students need industry expert guidance for deeper understanding and greater retention of knowledge so that they can apply what they know to new real-world big data problems. ProjectPro has an excellent project-based learning platform where students will enjoy using a spectrum of big data tools under expert guidance.

Here are some popular big data project titles among the college students-

IT professionals and college students rate our big data projects as exceptional. Whether you are looking to upgrade your skills or you are looking to learn about the complete end-to-end implementation of various big data tools like Hadoop, spark, pig, hive, Kafka, and more, Dezyre's mini projects on big data are just what you want.

Commonly Asked FAQs for Big Data Projects

Why is now the time to hone big data skills?

More data is created every hour today than in an entire year just 20 years ago, according to the Seagate Rethink Data Survey by IDC, which was released in January 2020.  Today’s tech market is dominated by technologies like big data, data science, machine learning, and cloud computing - the areas that usually go hand-in-hand and see a crossover in skillsets for diverse data job roles like data analyst, data engineer, data architect, and data scientist to name a few. According to Forbes, over 90% of companies state that they are still facing the need to manage unstructured data. Demand for data skills is growing and there is a huge shortage of skilled talent and honing these skills with the know-how of the latest tools and technologies will definitely make you stand out from the crowd of job applicants.ProjectPro helps you hone the most in-demand big data skills through real-time big data projects that have been vetted and created along with industry experts from Uber, JPMorgan, Paypal. This ensures relevance in the big data industry and provides you with the skills that matter the most at any given point in time in your career.

Why should I practice big data skills by building big data projects?

One of the hardest things to do when beginning a big data or data science career is to create a project portfolio of real-time big data projects. Whether you’re taking the first steps in your big data career or just want to brush up on your big data skills, the most important thing to have on your resume is hands-on projects. Most students or beginners do not have any substantial work experience and the big data courses they do might not just be enough in putting up a worthy portfolio to showcase to the hiring managers. ProjectPro’s big data projects have been vetted and created along with industry experts from Uber, JPMorgan, Paypal. This ensures relevance in the big data industry and providing you with the content that is industry-standard and matters the most. We have simple big data projects for practice and also advanced big data projects with source code that will test your data skills and help you build a well-rounded analytics portfolio that a hiring manager will definitely take a notice of. Included in each big data project with source code is –

What will you get when you enroll for ProjectPros Big Data projects?

How will you build these big data projects?

How many big data projects with source code do you have? 

The number of big data projects available at any point in time cannot be pinned at an exact number because we keep actively building up our project repository every month. The repository of real-time big data projects is updated every month with new projects based on the most in-demand and novel big data tools and technologies, some of which consists of big data tools like Hadoop, Spark, Redis, Kafka, Kylin, Redis, to name a few and popular cloud platforms like AWS, Azure, and GCP.  We have projects right from beginner level to the advanced level so there are big data projects for beginners, big data projects for students, and big data projects for professionals willing to upskill. The independent projects available will help you showcase your versatile big data skills to employers making them a great fit for winning the big data job that you have dreamed of.

What kinds of datasets are used in these big data projects and what is their source?

We understand that while working on big data projects, one of the toughest challenges is having access to large datasets. If you have been struggling to find the right dataset for your project, then these big data projects can come to your rescue. All our big data projects provide downloadable datasets so right from the dataset to the source code to video explanations of the source code- these have everything you need to deploy a project in production. Our projects are developed using popular big datasets from online repositories like Kaggle, UCI Machine Learning Repositories, Data.Gov, Google Public Datasets, AWS Public Datasets, and by scraping data from other sources.. Irrespective of whether you require a dataset to start working on a specific big data or data science project, or whether you need it to just practice your big data skills, you need not waste time browsing the internet for the required datasets. We’ve got all sorts of datasets covered to help you meet your project goal.

Can I get a trial period for a week to practice these sample big data projects?

No, we do not provide any free trial. However,  you can avail a free demo on the real-time big data projects that are available on the site. You can drop an email to binny@dezyre.com to schedule a free demo with one of our Project Advisors.

Can we download the videos for every big data project?

No, the video lectures for the big data projects are not available for download on your device. However, the all-access annual subscription plan gives you unlimited access to the videos, reusable solution code, datasets, and documentation. They can be accessed 24x7, 365 days a year. All you need is your login credentials and a good internet connection.

How do I start a big data analytics project?

With so many mini-projects on big data out there on the platform, users might sometimes be confused about where should I begin with. We have curated learning paths for students, beginners, and big data professionals that will take away the time and effort on making a decision as to which real-time big data project to get started with learning big data. The big data learning path has been curated to bring forward the best big data based projects using Hadoop, Spark, and other big data tools to streamline the way you master big data skills. However, you can also explore any big data project with the source code that is available in our repository and start any of the big data apache projects that appeal to you. You can go through the solution methodology document of each big data based mini-project to understand the scope before you get started with any real-time project of your choice.

Subscribe today and get started on your big data learning journey through hands-on big data projects for practice.

What are the big data projects using Hadoop for practice?

If you are looking for big data project ideas for your final year project or to test your big data skills as a professional, all our big data projects for practice are categorized based on the specific big data tools they use.  Whether you are looking for Hadoop projects for practice or Hadoop projects for beginners or you’re a student looking for a final year Hadoop project- we’ve got you covered with an all-exclusive repository of  Hadoop projects with source code

What are the big data projects using spark for practice?

Whether you are looking for spark projects for practice or Apache Spark projects for beginners or you’re a student looking for a sample spark project to learn big data - we’ve got you covered with an all-exclusive repository of apache spark real-time projects with source code.

What are the pre-requisites to get started working on big data analytics projects?

The project repository of real-time big data analytics projects offers incredible opportunities to find your way into the big data world no matter your previous knowledge and experience. There is no strict prerequisite to get started working on these real-time mini projects on big data.

Does the subscription of big data analytics projects with source code guarantee placements? 

We currently do not provide any placements. However, all the big data mini projects with source code are designed using the latest big data tools and technologies that will help you land a top gig as a big data professional making you ready to transition into big data job roles like data engineer, data analyst, business analyst, Hadoop developer, spark developer, Hadoop architect, data architect, and other. Each end-to-end big data project will help you gain some hands-on experience with a novel big data tool making it a worthy mention in your project portfolio. Through these projects, you will be able to maximize your potential and build up your skillset to increase your chances of landing a top big data job.