Data Science Projects for Beginners

If you are a complete beginner in Data Science, working on projects meant for a beginner can help you improve your skills step by step. So, if you are looking for Data Science projects to work on as a beginner, this article is for you. In this article, I’ll take you through a list of Data Science projects for absolute beginners solved and explained using Python that you should try.

25+ Data Science Projects for Beginners

Below is a list of 25+ Data Science projects for absolute beginners solved and explained using Python that you should try.

Data Cleaning & Manipulation

1. B2B Courier Charges Accuracy Analysis
2. Data Collection using APIs
3. Data Cleaning Pipeline with Pandas
4. Data Preprocessing Pipeline

Data Analytics

1. Exploratory Data Analysis
2. Screen Time Analysis
3. Impact of Inflation Analysis
4. Price Elasticity of Demand Analysis
5. Consumer Behaviour Analysis
6. Fitness Watch Data Analysis
7. User Engagement Analysis
8. Recession Analysis
9. Text Analysis
10. Financial Data Analysis
11. Store Sales & Profit Analysis
12. Customer Price Index Analysis
13. Customer Satisfaction Analysis

Machine Learning

1. End to End Chatbot
2. Spam Comments Detection
3. Loan Approval Prediction
4. Search Queries Anomaly Detection
5. House Rent Prediction
6. Online Payments Fraud Detection
7. Ads CTR Prediction
8. App User Segmentation
9. Automate Feature Selection

Many of these projects will require you to have a strong knowledge of Machine Learning algorithms. If you are learning ML Algorithms, my book will help you in your journey. Here are links to find the ebook and paperback versions:

1. Paperback on Amazon
2. Affordable Ebook on Google Play

Summary

So, if you are a complete beginner in Data Science, working on these projects meant for a beginner can help you improve your skills step by step. I hope you liked this article on Data Science Projects for absolute beginners. Feel free to ask valuable questions in the comments section below. You can follow me on Instagram for many more resources.