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analyze-international-debt-statistics

It's not that we humans only take debts to manage our necessities. A country may also take debt to manage its economy. For example, infrastructure spending is one costly ingredient required for a country's citizens to lead comfortable lives. The World Bank is the organization that provides debt to countries. In this project, you are going to analyze international debt data collected by The World Bank. The dataset contains information about the amount of debt (in USD) owed by developing countries across several categories. You are going to find the answers to questions like: What is the total amount of debt that is owed by the countries listed in the dataset? Which country owns the maximum amount of debt and what does that amount look like? What is the average amount of debt owed by countries across different debt indicators? The data used in this project is provided by The World Bank. It contains both national and regional debt statistics for several countries across the globe as recorded from 1970 to 2015.

analyzing-tv-data

In this project, you will look at Super Bowl Data, generating insights into game outcomes, viewership, and even halftime shows. In the unguided variant of this project, you'll develop an informative plot that helps to visualize the viewership and quality of The Office throughout its nine seasons.

big-data

covid19-data-analysis-using-python

data-analysis-with-tableau

data-mining

data-mining-predictive-model-to-assess-credit-worthiness

database-and-sql-for-data-science

database-project-using-sql

dbms

google-big-query

marketing-analytics--segmentation-targeting-and-positioning

optimization-methods-for-analytics

portfolioprojects

predicting-credit-card-approvals

Commercial banks receive a lot of applications for credit cards. Many of them get rejected for many reasons, like high loan balances, low income levels, or too many inquiries on an individual's credit report, for example. Manually analyzing these applications is mundane, error-prone, and time-consuming (and time is money!). Luckily, this task can be automated with the power of machine learning and pretty much every commercial bank does so nowadays. In this project, you will build an automatic credit card approval predictor using machine learning techniques, just like the real banks do. The dataset used in this project is the Credit Card Approval dataset from the UCI Machine Learning Repository.

sql-queries

tableau-data-blending

time-series-forecasting

twitter_sentiment_analysis

zillow-housing-data-webscraping-and-analysis