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Familiarity with data types and data visualization.
Become fluent in basic SQL commands including SELECT, FROM, WHERE and corresponding logical operators.
Combine data tables using SQL joins to to answer more complex business questions.
Aggregate data in SQL including COUNT, SUM, MIN and MAX, and write CASE and DATE functions, as well as work with NULL values.
Use subqueries, also called CTEs, in a number of different situations, use window functions including RANK, NTILE, LAG, LEAD new functions along with partitions to complete complex tasks, and clean data, optimize queries and write advanced JOINs.
In this project, you will be provided a dataset reflecting data collected from an experiment. You’ll use statistical techniques to answer questions about the data and report your conclusions and recommendations in a report.
Data Scientist at Nerd Wallet
Josh has been sharing his passion for data for nearly a decade at all levels of university, and as Lead Data Science Instructor at Galvanize. He's used data science for work ranging from cancer research to process automation.
Dana is an electrical engineer with a Masters in Computer Science from Georgia Tech. Her work experience includes software development for embedded systems in the Automotive Group at Motorola, where she was awarded a patent for an onboard operating system.
Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.
CEO at Mode
Derek is the CEO of Mode Analytics. He developed an analytical foundation at Facebook and Yammer and is passionate about sharing it with future analysts. He authored SQL School and is a mentor at Insight Data Science.
Sam is the Product Lead for Udacity’s Data Analyst, Business Analyst, and Data Foundations programs. He’s worked as an analytics consultant on projects in several industries, and is passionate about helping others improve their data skills.
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