Data Science is a combination of computer science and data mining. It is one of the highly paid jobs in the market today. If you are new to data science then it can be difficult to get your first data science job as this field has a lot of competition now. But working on some projects can give a great benefit as it shows that you have worked on some use cases. So to get your first data science job you have to start working on some beginner-level projects and then start working on some advanced use cases. In this article, I will take you through some of the best data science projects for beginners solved and explained using Python.
Data Science Projects for Beginners
Stock Price Prediction:
Predicting stock prices is the problem of regression. A dataset of stock prices can be used for a lot of data science tasks that is why it is one of the most popular use cases in the data science community. Almost every data science professional must have gone through any project based on the problem of predicting stock prices.
So what you can do is download stock price data from Yahoo Finance and start analyzing it to predict the future stock prices by using regression algorithms in machine learning. You can find a data science project on the stock price prediction solved and explained using Python from here.
Best Streaming Service Analysis:
There are so many streaming services today where you can watch your favourite content. We can use data science techniques to find which is the best streaming platform among streaming services like Amazon Prime and Netflix.
As a beginner you will find this use case very easy and unique as here you will be analyzing the type of content each streaming service provides rather than using Machine learning algorithms anywhere. You can find this data science project on the best streaming service analysis using Python from here.
Click-Through Rate Prediction Model:
Click-through rate prediction is an amazing use case of classification in machine learning. It sounds like a very interesting and very unique use case as a beginner. Here you have to predict which user will respond to advertisements and which user will not.
The task of click-through rate prediction helps an advertising company to understand what type of users are best for getting more profits. You can get this data science project on click-through rate prediction model using Python from here.
So these were some of the best data science projects for beginners that you can try to improve your problem-solving skills using your data science skills. All the three data science projects mentioned in this article are for beginners who have learnt the fundamentals of data science. After finishing these projects you can work on some more projects from here. I hope you liked this article on data science projects for beginners. Feel free to ask your valuable questions in the comments section below.