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Develop an inventory management system for a retail business using OOP in Python.

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Step into a data engineers shoes and master data cleaning with PySpark on an e-commerce orders dataset!

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Use PySpark to build an e-commerce forecasting model!

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Use OpenAIs powerful API to enrich and summarize stock market data.

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Help the bank monitoring their fraud detection model and figuring out why its not performing as expected.

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Ready to analyze and visualize financial ratios? In this project, you will take on real-world challenges like evaluating the profitability and leverage of companies across industries.

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• 4.3+
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Apply your importing and cleaning data and data manipulation skills to explore New York City Airbnb data.

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Create custom Python functions to validate user input!

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Sharpen your debugging skills to enhance sales data accuracy.

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Exploring flight data from NYC using advanced data joining techniques in R.

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Query the VatComply API to gather exchange rate information and incorporate into a sales orders dataset!

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Examine flight delays & cancellations to uncover insights.

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Use a variety of data manipulation techniques to explore different aspects of Legos history.

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Analyze product data for an online sports retail company to optimize revenue.

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Chart electric vehicle charging trends to inform strategic planning.

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Automatically generate keywords for a search engine marketing campaign using Python to send website visitors to the right landing page.

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Build models predicting customer churn for Indian telecom customers.

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Use SQL to analyze a database containing information about Transport for London journeys over 12 years!

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Use logistic regression to determine which treatment procedure is more effective for kidney stone removal.

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Use joining techniques to discover the oldest businesses in the world.

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• MenengahTingkat Keterampilan
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Analyze online shopping habits: returning vs. new customers using statistics & probability techniques!

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Generate features from text and numeric variables to predict the popularity of books.

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Build an AI-powered inbox assistant to classify your emails using Llama.

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Train a simple reinforcement learning agent in stock trading simulation.