Data Science is becoming the sexiest job at this century. In this article you will find some of the top data science projects at 2020.
Data Science Projects
1.CRIME ANALYSIS AND PREDICTION
In crime analysis, it is always about reconnecting data and joining the dots. Law enforcement sometimes is challenging when a collection of data sources is lost or cannot be retrieved. Today as we speak technology is being used in crime analysis through data analytics softwares. It comes in handier as more data can be processed at a given time. A great example is keeping call records where criminals’ conversations can be obtained hence aiding in criminal activities analysis. One major problem when it comes to crime analysis is cybercriminals. Data can be obtained and interfered with by criminals. How about you also take up the task to eradicate this major crisis.
2.FAKE NEWS DETECTION
The online and digital platform have opened up opportunities for people to share information. Most people easily access news online. Manual detection of fake news is quite inefficient. By use of AI to automatically detect fake news is quite a task. One of the approaches used is to determine whether a source is malicious by tracing news back from the source. One challenge that pops up is the ability to differentiate fake and real news.
This involves categorizing customers according to their needs. In data science, clustering is used in various case studies. Companies have to meet the customers needs that are variant according to their needs. Creating a survey among customers in order to determine their satisfaction and experience can be a great project.
Most of the data scientists spend most of their time analyzing and collecting data. Whenever data seems to be irrelevant, it has to be cleaned. One has to pick a data science tool to create an algorithm that cleans messy data. Today the internet is filled with messy data such as opening a website that has no content in it and fake news.
With the above-shortlisted project ideas, one can come up with projects that tackle different problems revolving around them. Data science is all about playing with data. In simple terms, it involves visualizing and analyzing data. By the end of each career course, one has to present a project and sometimes we opt to do personal projects. Doing as many projects as possible creates one good portfolio and resume and aids in one’s career growth.