Курс Uber Analytics Test
Over 5500 students enrolled
Updated for latest CodeSignal Version of the Test
Added two more CSV files from latest test attempt
COURSE COMPLETED UPDATED TO INCLUDE NEW QUESTIONS FROM VERSION 3.1 OF THE TEST
NOW with 3 CSVs and 20 additional questions and answers for Version 3.1 of the test
The Uber Analytics Test is the second test in the entire interview for General Manager, Associate General Manager, Operations and Logistics Manager and Marketing Manager positions at Uber.
If you pass the recruiter screen, the next step is to do this 2 hour timed online analytics test.
As part of this course, we will walk you step by step on how to ace this exam through a bunch of course materials and video content.
Course Outline
What You'll Get
Course Details
- Review the different Uber positions covered in this video, including: Operations and Logistics, Marketing Manager, General Manager, Associate General Manger, Marketing Manager
- Discuss Surge Pricing - an extremely important concept on the exam.
- Discuss Uber metrics and terms, including:
- Completed Trips
- Demand
- Dispatch
- Driver
- Driver Supply
- ETA
- Eyeballs
- Fare
- Idle Time
- Peak Hours
- Requests
- Rider
- Surge Pricing
- Working Shifts
- Zeros
- Covers many many multiple choice questions found in the Uber Excel analytics test, including:
- Between the 1st and the 5th of February, which date has the most completed trips?
- What hour of the day had the most completed trips on February 11th?
- What hour of the day from the 15 day period in February had the least number of requests?
- What is the percentage of all of the eyeballs that occurred on Fridays?
- What is the weighted average of requests per driver for the 15 day data set?
- Drivers' schedules are drafted in 4 hour shifts, and Uber wants to change this to 8 hour shifts. Calculate which shift has the highest request for the 15 day data set.
- When the number of unique drivers increases so does the number of eyeballs?
- On which day is the ratio the highest for the number of completed trips to requests?
- If you had 10 drivers to add to one hour throughout the 15 day data set, which hour would you add them to?
- How many hours of data are in this data set?
- Use the data to determine when the best end-of-day is for drivers.
- Sample of short and long answer questions and an approach to answer them:
- What is surge-pricing is and the main reasons behind why it's a good choice for Uber.
- Convince a non Uber driver to switch to become an Uber driver.
- Write a letter aimed at Uber drivers to encourage them to accept more requests.
- 10 additional practice problems, including:
- What is the probability of an Uber driver accepting your request?
- How many years will it take for UberBlack drivers to outnumber UberX drivers?
- What will be the change in Uber revenue after a fare increase?
- If Uber starts a promo, what is the maximum amount of fare reduction before loss of revenue?
- What is the maximum number of possible Uber candidates, given Uber’s eligible driver policy?
- What is the minimum number of possible Uber candidates, given Uber’s eligible driver policy?
- What is the probability of a Uber passenger getting to choose their seat first?
- Would an UberBlack vehicle beat Usain Bolt at the 100 meter sprint?
- What is the individual bill of an Uber trip split proportionally by trip distance?
- How many license plates in New York do not have any repeating numbers?
- 10 additional questions covering Version 3.1 of the test
- Know how to use excel
- Ace the Uber Analytics Test with flying colors
- Understand the format, structure and types of questions you will get on the exam
- Practice with over 50 questions

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Whether you are a student looking to start your career or an experienced professional looking to switch jobs, whether outside or within your current organization, we have something for you at coursetake.
Our instructors have interviewed for more than 10 years in the industry. They have worked at large companies like Microsoft, Groupon and a number of smaller startups as hiring managers. They have worked across the industry in technology, financial services, retail etc. They've got degrees in Business, Computer Science and Engineering.
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