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analyze-international-debt-statistics

Project Description 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-american-baby-name-trends

How have American baby name tastes changed since 1920? Which names have remained popular for over 100 years, and how do those names compare to more recent top baby names? These are considerations for many new parents, but the skills we'll practice while answering these queries are broadly applicable. After all, understanding trends and popularity is important for many businesses, too! We'll be working with data provided by the United States Social Security Administration, which lists first names along with the number and sex of babies they were given to in each year. For processing speed purposes, we've limited the dataset to first names which were given to over 5,000 American babies in a given year. Our data spans 101 years, from 1920 through 2020.

analyzing-nyc-public-school-test-result-scores

Every year, American high school students take SATs, which are standardized tests intended to measure literacy, numeracy, and writing skills. There are three sections - reading, math, and writing, each with a maximum score of 800 points. These tests are extremely important for students and colleges, as they play a pivotal role in the admissions process. Analyzing the performance of schools is important for a variety of stakeholders, including policy and education professionals, researchers, government, and even parents considering which school their children should attend. In this notebook, we will take a look at data on SATs across public schools in New York City. Our database contains a single table

data-analysis

dr.-semmelweis-and-the-discovery-of-handwashing

In 1847, the Hungarian physician Ignaz Semmelweis made a breakthough discovery: he discovers handwashing. Contaminated hands was a major cause of childbed fever and by enforcing handwashing at his hospital he saved hundreds of lives.

investigating-netflix-movies-and-guest-stars-in-the-office

Netflix! What started in 1997 as a DVD rental service has since exploded into the largest entertainment/media company by market capitalization, boasting over 200 million subscribers as of January 2021. Given the large number of movies and series available on the platform, it is a perfect opportunity to flex our data manipulation skills and dive into the entertainment industry. Our friend has also been brushing up on their Python skills and has taken a first crack at a CSV file containing Netflix data. For their first order of business, they have been performing some analyses, and they believe that the average duration of movies has been declining. As evidence of this, they have provided us with the following information. For the years from 2011 to 2020, the average movie durations are 103, 101, 99, 100, 100, 95, 95, 96, 93, and 90, respectively. If we're going to be working with this data, we know a good place to start would be to probably start working with pandas. But first we'll need to create a DataFrame from scratch. Let's start by creating a Python object covered in Intermediate Python: a dictionary!

optimizing-online-sports-retail-revenue

Sports clothing and athleisure attire is a huge industry, worth approximately $193 billion in 2021 with a strong growth forecast over the next decade! In this notebook, we play the role of a product analyst for an online sports clothing company. The company is specifically interested in how it can improve revenue. We will dive into product data such as pricing, reviews, descriptions, and ratings, as well as revenue and website traffic, to produce recommendations for its marketing and sales teams. The database provided to us, sports, contains five tables, with product_id being the primary key for all of them

what-and-where-are-the-world-s-oldest-businesses

An important part of business is planning for the future and ensuring that the business survives changing market conditions. Some businesses do this remarkably well and last for hundreds of years. In this project, you'll explore data from BusinessFinancing.co.uk on the world's oldest businesses: when were they founded, and which industries do they belong to? Like many business problems, the data we'll explore is contained in several different datasets. In order to understand the world's oldest businesses, we will first need to use joining techniques to merge our data. From there, we can use manipulation tools such as grouping and filtering to answer questions about these historic businesses.

when-was-the-golden-age-of-video-games-

In this project, you'll analyze video game critic and user scores as well as sales data for the top 400 video games released since 1977. You'll search for a golden age of video games by identifying release years that users and critics liked best, and you'll explore the business side of gaming by looking at game sales data. Your search will involve joining datasets and comparing results with set theory. You'll also filter, group, and order data. Make sure you brush up on these skills before trying this project!