Below is a synopsis of the weekly homework assignments for this course. Click on the blue links to see the code for each assignment.
In this challenge, you are tasked with creating a Python script for analyzing the financial records of your company.
In this challenge, you are tasked with helping a small, rural town modernize its vote-counting process.
Congratulations! After a lot of hard work in the data munging mines, you’ve landed a job as Lead Analyst for an independent gaming company. You’ve been assigned the task of analyzing the data for their most recent fantasy game Heroes of Pymoli.
Like many others in its genre, the game is free-to-play, but players are encouraged to purchase optional items that enhance their playing experience. As a first task, the company would like you to generate a report that breaks down the game’s purchasing data into meaningful insights.
While your data companions rushed off to jobs in finance and government, you remained adamant that science was the way for you. Staying true to your mission, you’ve joined Pymaceuticals Inc., a burgeoning pharmaceutical company based out of San Diego. Pymaceuticals specializes in anti-cancer pharmaceuticals. In its most recent efforts, it began screening for potential treatments for squamous cell carcinoma (SCC), a commonly occurring form of skin cancer.
As a senior data analyst at the company, you’ve been given access to the complete data from their most recent animal study. In this study, 249 mice identified with SCC tumor growth were treated through a variety of drug regimens. Over the course of 45 days, tumor development was observed and measured. The purpose of this study was to compare the performance of Pymaceuticals’ drug of interest, Capomulin, versus the other treatment regimens. You have been tasked by the executive team to generate all of the tables and figures needed for the technical report of the study. The executive team also has asked for a top-level summary of the study results.
In this example, you’ll be creating a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator. To accomplish this, you’ll be utilizing a simple Python library, the OpenWeatherMap API, and a little common sense to create a representative model of weather across world cities.
Now let’s use your skills in working with weather data to plan future vacations. Use jupyter-gmaps and the Google Places API for this part of the assignment.
It is a beautiful spring day, and it is two weeks since you have been hired as a new data engineer at Pewlett Hackard. Your first major task is a research project on employees of the corporation from the 1980s and 1990s. All that remain of the database of employees from that period are six CSV files.
In this assignment, you will design the tables to hold data in the CSVs, import the CSVs into a SQL database, and answer questions about the data. In other words, you will perform:
- Data Engineering
- Data Analysis
To begin, use Python and SQLAlchemy to do basic climate analysis and data exploration of your climate database. All of the following analysis should be completed using SQLAlchemy ORM queries, Pandas, and Matplotlib. Now that you have completed your initial analysis, design a Flask API based on the queries that you have just developed.
For this homework we’ll be creating a visualization dashboard website using visualizations we’ve created in a past assignment. Specifically, we’ll be plotting weather data.
In building this dashboard, we’ll create individual pages for each plot and a means by which we can navigate between them. These pages will contain the visualizations and their corresponding explanations. We’ll also have a landing page, a page where we can see a comparison of all of the plots, and another page where we can view the data used to build them.
Complete your initial scraping using Jupyter Notebook, BeautifulSoup, Pandas, and Requests/Splinter. Use MongoDB with Flask templating to create a new HTML page that displays all of the information that was scraped from the URLs above.
Welcome to the newsroom! You’ve just accepted a data visualization position for a major metro paper. You’re tasked with analyzing the current trends shaping people’s lives, as well as creating charts, graphs, and interactive elements to help readers understand your findings.
The editor wants to run a series of feature stories about the health risks facing particular demographics. She’s counting on you to sniff out the first story idea by sifting through information from the U.S. Census Bureau and the Behavioral Risk Factor Surveillance System.
Welcome to the United States Geological Survey, or USGS for short! The USGS is responsible for providing scientific data about natural hazards, the health of our ecosystems and environment; and the impacts of climate and land-use change. Their scientists develop new methods and tools to supply timely, relevant, and useful information about the Earth and its processes. As a new hire, you will be helping them out with an exciting new project!
The USGS is interested in building a new set of tools that will allow them visualize their earthquake data. They collect a massive amount of data from all over the world each day, but they lack a meaningful way of displaying it. Their hope is that being able to visualize their data will allow them to better educate the public and other government organizations (and hopefully secure more funding..) on issues facing our planet.
Congratulations on your new job! As the new lead analyst for the New York Citi Bike Program, you are now responsible for overseeing the largest bike sharing program in the United States. In your new role, you will be expected to generate regular reports for city officials looking to publicize and improve the city program.
Since 2013, the Citi Bike Program has implemented a robust infrastructure for collecting data on the program’s utilization. Through the team’s efforts, each month bike data is collected, organized, and made public on the Citi Bike Data webpage.
However, while the data has been regularly updated, the team has yet to implement a dashboard or sophisticated reporting process. City officials have a number of questions on the program, so your first task on the job is to build a set of data reports to provide the answers.