Want to land a data analytics job but donβt know how to showcase your skills? Your portfolio matters! π―
Employers love candidates who can demonstrate real-world data skills like cleaning, analyzing, visualizing, and predicting trends. These 5 hands-on projects will boost your resume and help you stand out!
π Why Projects Matter in Data Analytics?
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Prove Your Practical Skills β Show that you can work with real-world datasets.
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Stand Out from the Crowd β Go beyond theory and display applied knowledge.
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Master Essential Tools β Work with SQL, Python, Power BI, or Tableau.
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Get Noticed by Employers β Recruiters prefer portfolios with solid projects.
The best part? All these projects are FREE to access! π
π 5 Data Analytics Projects to Boost Your Portfolio
1οΈβ£ Predict Titanic Survivors π³
Skills Covered: Data cleaning, feature engineering, classification models
π‘ Why itβs great? A classic project to learn survival prediction using real-world historical data.
π Try it here
2οΈβ£ Analyze San Francisco Crime Data π
Skills Covered: Data visualization, trend analysis, time-series forecasting
π‘ Why itβs great? Understand crime patterns, create dashboards, and predict future trends.
π Try it here
3οΈβ£ Customer Satisfaction Prediction πΌ
Skills Covered: Supervised learning, data preprocessing, model evaluation
π‘ Why itβs great? A real-world business problem that helps in sentiment and behavior analysis.
π Try it here
4οΈβ£ Walmart Trip Type Classification π
Skills Covered: Clustering, classification, feature selection
π‘ Why itβs great? Learn how to analyze customer shopping patterns for better business decisions.
π Try it here
5οΈβ£ Categorize Cuisine Based on Ingredients π²
Skills Covered: Natural language processing (NLP), data preprocessing, classification models
π‘ Why itβs great? Use machine learning to classify different cuisines based on recipe ingredients.
π Try it here
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