Data Science Online Test
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The Data Science online test assesses the ability to use tools and techniques to analyze large sets of data, extract information, suggest conclusions, and support decision-making.
The assessment includes work-sample tasks such as:
- Applying a linear regression to a set of data.
- Using Bayes' Theorem to determine the probability of an event.
- Building machine learning models.
A good data scientist or data analyst needs to be able to extract knowledge and insights from data in order to support the decision-making process.
Sample public questions
Each day during 2019 an agency asked a hundred randomly selected people which party they would vote for if elections were held that day. Results of the poll were recorded in the following file. The Workers' Party asked for the report which they plan to use to improve their strategy for upcoming elections.
Fill in the missing values in the report for 2019:
- The arithmetic mean of votes for the Workers' Party is: __ (rounded to one decimal place)
- The median of votes for the Workers' party is: __ (rounded to closest integer)
- The standard deviation of votes for the Workers' party is: __ (rounded to one decimal place)
- The difference between the largest and the smallest number of votes for the Workers' party for March is: __
- The largest number of votes that any party received on any day is: __ votes.
That maximum was achieved on 2019-__-__ by __. - The party with the largest difference between the maximum and minimum number of votes is _______. That difference is __ votes.
Two bacteria cultures, A and B, were set up in two different dishes, each covering 50% of its dish. Over 20 days, bacteria A's percentage of coverage increased to 70% and bacteria B's percentage of coverage reduced to 40%:
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13 more premium Data Science questions
Cheating Indicator, Distribution of Answers, Credit Wizard, Subscribers, CTR, Bank Loan, Patient Classification, Bacterial Growth, Wine Quality, Rain, Age and Earnings, Hiring Process, Billiard Club Occupancy.
Skills and topics tested
- Data Science
- Bayes' Theorem
- Probability
- Probability Distributions
- Decision Tree
- Poisson Distribution
- Binomial Distribution
- P-Value
- Classification
- Machine Learning
- Decision Boundary
- Curve Fitting
- Correlation
- Multicollinearity
- ROC
- Linear Regression
- Outliers
For job roles
- Data Analyst
- Data Scientist
Sample candidate report
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What others say
Simple, straight-forward technical testing
TestDome is simple, provides a reasonable (though not extensive) battery of tests to choose from, and doesn't take the candidate an inordinate amount of time. It also simulates working pressure with the time limits.
Jan Opperman, Grindrod Bank
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