data science projects

Data Science helps in solving real-world problems by making proper use of the relevant data. In this day and age, companies are using the information procured by data science professionals to understand customer’s behaviour, project sales, and estimate the future of the product in the market it is being launched. This is the reason why a Data Science Certification from a reputed university with a curriculum designed to build industry-valued skills is preferred by companies that are on the lookout for data science professionals.

In order to make sure that your resume stands out from the rest, it is imperative that it contains some crisp and fresh data science projects. In this article, we have collected 6 data science projects that can help you build a strong profile.

So, here are the top 6 data science projects that can increase your chances of getting hired in 2021:

1. Sentiment Analysis

Sentiment analysis is a method that is used to analyse the opinion of targeted customers on a specific product or service offered by the company. It is used in companies to perform a testing of the likeability of their products or services. The main goal of this is to figure out the WHYs behind not achieving the target sales or a product/service not being liked by the customer base

Additionally, it also helps in figuring out the reforms to be made to make the brand’s offering more acceptable by its customer base. This data science project would require you to make use of NLP, computational linguistics, text analysis, and biometrics to derive rich insights from the data provided. The basic task in sentiment analysis is to classify the polarity of the opinion of the service/product being offered. The ranges of responses can be positive, negative, or at times included with multiple options like happy, sad, neutral, excited, and so on. This is a popular data science project idea that you can customize as per your need to make the project simpler or complex.

2. Detection of the Parkinson Disease

Parkinson’s disease is an old-age related problem wherein the person loses control of his/her body parts. Its symptoms begin from tremors in hands, the rigidity of the body, to even shuffling of steps. This disease has 5 stages with stage 1 being comparatively non-interfering with daily activities and stage 5 being severely limited in terms of day-to-day activities. Most people suffer more due to late detection of the disease.

This is where data science steps in. You can use Python as the coding language in detecting Parkinson’s disease with XGBoost. XGBoost is an open-source software library that supports multiple libraries that include C++, R, Python, Java, Julia, etc. Using this data science project, early prediction of Parkinson’s disease can be made. The patients who are prone to getting the disease or show signs of getting affected by Parkinson’s disease in the future can be notified and this way an improved health service can be given to a patient.

3. Detection of Fake News

Recognizing fake news is not easy. There are multiple platforms and channels where information is distributed – but is it correct or not? This is a topic of grave concern as fake news can ignite miscommunication which can cause huge damage around the world. 

With this data science project idea, you can create a project using Python. This model will have two classifiers – TfidfVectorizer and a PassiveAggressiveClassifier to segment the news as Real or Fake. You can make the use of JupyterLab, a web based user interface that enables you to work with documents and activities such as Jupyter notebooks, text editors, terminals, and custom components in an integrated, and extensible manner. A data set with dimensions of 7796*4 will prove to be highly supportive in this case.

4. Prediction Of Next Word

A distinctive aspect of working on data science projects is that you get the freedom to create predictive type models. You must have noticed this while using Google Docs, WhatsApp or even the Google search bar: all of these use the technique of predicting the next word by suggesting a new word after each new word you type.

This project is a great choice for someone who wants to transition to advanced-level projects. It requires the knowledge of NLP or deep learning to uncover the next word. The LTSM (Long short-term memory) model is the ideal choice for this as it makes use of deep learning with a network of artificial cells that manage the entire memory. This makes them better suited for predicting the next word.

5. Movie Recommender 

This is one of the data science projects that will surely grab a lot of eyeballs! After all, who doesn’t like to be recommended movies or series on YoutTube or Netflix, that too in the area of your interest! To execute this project you can collect inputs from viewers who saw a movie first and classify their responses.

You can make use of the R programming language to create this movie recommender system. The right choice of dataset for this project will be MovieLens. It covers 58k movies and you can also avail packages like reshape2, ggplot2, and data.table.

6. Customer Segmentation

Businesses are always in the process of devising methods to segment their customers. The segmentation process ensures that the business can create consumer-specific strategies and create a product or service that suits their needs. This is a MUST-DO activity before running any online marketing campaign. 

Customer Segmentation is a popular application of unsupervised learning. In this, clusters are used by the company to define and place its customers in different groups which are categorized on the basis of region, gender, age, preferences, and so on. This project is also useful to identify the inputs of annual incomes and spending trends of the customers to create a strategy for that segment.

Bottom Line

If you have adequate knowledge about the right tools and techniques, no data science project is difficult. In fact, the practical application of any technology is best tested by working on a number of projects. It gives you the right amount of exposure and increases your problem-solving skills.

This was our list of 6 top data science projects that can get you hired in 2021.
You can choose to enroll in The Post Graduate Program in Data Science & Business Analytics program by McCombs School of Business at The University of Texas at Austin which carries 8+ industry projects, real-life projects, mentorship by industry experts and Program Manager support throughout the program.

To enroll, click here.

Applied Data Science Program is a 12-week program by MIT Professional Education that will help you become a data-driven decision maker with live virtual teaching from MIT faculty, hands-on projects, and mentorship from industry practitioners. Click here to download the program brochure.

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