35 Data Science Projects for Absolute Beginners

As a beginner in Data Science, you should work more on your data wrangling, data cleaning, data preprocessing, and analytical skills rather than focusing on advanced concepts like Deep Learning and Generative AI. So, if you are an absolute beginner in Data Science, this is for you. In this article, I’ll take you through a list of 35 Data Science projects for absolute beginners solved & explained using Python, that you should try.

35 Data Science Projects for Absolute Beginners

Below is a list of 35 Data Science projects for absolute beginners solved & explained using Python, that you should try.

Data Wrangling, Cleaning and Preprocessing

  1. B2B Courier Charges Accuracy Analysis
  2. Data Collection using APIs
  3. Web Data ETL Pipeline
  4. Data Preprocessing Pipeline
  5. Text Analysis
  6. ETL Pipeline using PySpark
  7. Audio Data Processing and Analysis

Data Analytics (beginner level)

  1. Impact of Inflation Analysis
  2. Customer Price Index Analysis
  3. Fitness Watch Data Analysis
  4. Price Elasticity of Demand Analysis
  5. Search Queries Anomaly Detection
  6. Cohort Analysis
  7. Quantitative Analysis of Stock Market
  8. Analyzing Screen Time
  9. Customer Lifetime Value Analysis
  10. Store Sales & Profit Analysis
  11. Customer Satisfaction Analysis
  12. Hypothesis Testing
  13. A/B Testing of Themes
  14. Stock Market Comparison Analysis
  15. Financial Data Analysis with Python

Machine Learning (beginner level)

  1. Classification on Highly Imbalanced Data
  2. Multivariate Time Series Forecasting
  3. Compare Multiple ML Models
  4. End to End Predictive Model
  5. End-to-End Chatbot
  6. Instagram Reach Analysis & Forecasting
  7. Netflix Subscriptions Forecasting
  8. Credit Scoring & Segmentation
  9. Real Estate Price Prediction
  10. Loan Approval Prediction
  11. Car Insurance Modelling
  12. Packaging Machine Learning Models
  13. Testing and Using a Machine Learning Model

Working on these projects will help you improve your Data Science skills as a beginner.

Summary

So, if you are an absolute beginner in Data Science, you should work on these projects to improve your data wrangling, data cleaning, data preprocessing, and analytical skills. I hope you liked this article on 35 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.

Aman Kharwal
Aman Kharwal

AI/ML Engineer | Published Author. My aim is to decode data science for the real world in the most simple words.

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