Udacity
Data Analyst Nanodegree
" Data Scientist was rated by Glassdoor as the # 1 Best Job in America for 2016. Join 1,606 other students in our Data Analyst Nanodegree!
We built this program with expert analysts and scientists at leading technology companies to ensure you master the exact skills necessary to build a career in data science.
Learn to clean up messy data, uncover patterns and insights, make predictions using machine learning, and clearly communicate critical findings. "
Co-Created by:
- mongoDB
- Zipfian Academy
Projects
Test a Perceptual Phenomenon
Use descriptive statistics and a statistical test to analyze the Stroop effect, a classic result of experimental psychology. Give your readers a good intuition for the data and use statistical inference to draw a conclusion based on the results.
Well done by showing the key test statistics correctly step by step. Conclusion drawn is well aligned wit the test result.
Investigate a Dataset
Choose one of Udacity's curated datasets and investigate it using NumPy and Pandas. Go through the entire data analysis process, starting by posing a question and finishing by sharing your findings.
You have postulated several meaningful questions and have provided a thoughtful investigation in turn. Asking the right questions is, arguably, the most important part in data analysis. Well done!
Truly outstanding work on the visualizations. The plots are varied and intuitively make sense with the idea being portrayed.
Wrangle OpenStreetMap Data
Choose any area of the world in OpenStreeMap and use data munging techniques, such as assessing the quality of the data for validity, accuracy, completeness, consistency and uniformity, to clean the OpenStreetMap data for a part of the world that you care about.
An outstanding work demonstrating a variety of auditing and cleaning procedures.
I must say, terrific work on the formatting and presentation of this project. The information is concisely provided and presented in an aesthetically pleasing manner without overwhelming the reader with large blocks of code and unnecessary detail.
Explore and Summarize Data
Use R and apply exploratory data analysis techniques to explore relationships in one variable to multiple variables and to explore a selected data set for distributions, outliers, and anomalies.
Awesome work! There isn't much I can suggest to improve this project further.
Identify Fraud from Enron Email
Play detective and put your machine learning skills to use by building an algorithm to identify Enron Employees who may have committed fraud based on the public Enron financial and email dataset.
Make Effective Data Visualization
Create a data visualization from a data set that tells a story or highlights trends or patterns in the data. Use either dimple.js or d3.js to create the visualization. Your work should be a reflection of the theory and practice of data visualization, such as visual encodings, design principles, and effective communication.
This is a very slick chart design. Nice job finding a way to concentrate a lot of information into a compact, clean and readable space. I really like the introductory information below the chart title as well as how the neighborhoods were sorted by housing population ratio. The neighborhood map also ads a nice exploratory element to the chart.
Design an A/B Test
Make design decisions for an A/B test, including which metrics to measure and how long the test should be run. Analyze the results of an A/B test that was run by Udacity and recommend whether or not to launch the change.