This program will prepare you for a data science career. Learn to use Python, R, SQL, and Tableau to uncover insights, communicate critical findings, and create data-driven solutions.
-
Investigate a Dataset
Posed a question about a dataset, then used NumPy and Pandas to answer that question based on the data and created a report to share the results. -
Wrangle OpenStreetMap Data
Chose a region and used data munging techniques to assess the quality of the data for validity, accuracy, completeness, consistency and uniformity. -
Explore and Summarize Data
Investigated a dataset using R and exploratory data analysis techniques, exploring both single variables and relationships between variables. -
Test a Perceptual Phenomenon
Analyzed the Stroop effect using descriptive statistics to provide an intuition about the data, and inferential statistics to draw a conclusion based on the results. -
Identify Fraud from Enron Email
Identified which Enron employees are more likely to have committed fraud using machine learning and public Enron financial and email data. -
Create a Tableau Story
Created a data visualization from a data set using Tableau to tell a story or highlight trends or patterns in the data.