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Online Data Science & Analytics Test

Candidates Assessed

12754+

Organisations Served

132+

Our Online Data Science test is the preferred pre-employment test for recruiters and hiring managers to hire job-fit candidates for roles such as Data Scientist, Data Science Developer, Data Science Associate, Data Science Analyst, and Data Visualization Engineer. This Data Scientist test can reduce hiring time by 45% and improve the interview-to-selection ratio by 62%. 

About Online Data Science & Analytics Test

Data Science is an interdisciplinary field of processes and systems to extract knowledge or insights from data in various forms which includes data analysis fields such as statistics, machine learning, and predictive analysis. It is designed to check the analytics and data science methods. Data science includes methods and theories from different verticals like mathematics, information science, computer science & statistics.

Online Data Science tests help recruiters and hiring managers assess the ability to extract, analyze and interpret data to provide a solution to businesses or support decision making. Data science assessment is required applicants to solve questions on Data Visualization, Machine Learning Techniques, Analytics with R & other tools, Exploratory Data Analysis, Data Manipulation using R, and Regression Analysis

Are you a jobseeker looking to sharpen your skills?

Test Summary

Data scientist Assessment helps you to screen the traits below: 

 
- Excellent skills while handling R data manipulation 
- Analytics with R tools, python & machine learning techniques 
- Understanding linear and non-linear regression models 
- Strong knowledge of different statistical concepts 
- Doing the ad-hoc analysis and presenting results in a clear manner 
- Ability to perform exploratory data analysis & regression analysis  
- Data mining skills using state-of-the-art methods 
- Experience with data visualization tools 

 iMocha’s powerful reporting & intelligent analytics will help you overview the candidate’s performance in each section of the data science test within a glance. The candidate feedback module will ensure candidates have excellent experience with iMocha.

Data science assessments contain the latest & quality set of questions crafted by industry experts to cope with recent developments in technology. You can also create a customized test according to your job role. For example, if you need to assess only the data visualization skill of candidates then just send us an email and our support team will deliver the customized data visualization test within 3 days.

Recruiters & hiring managers can use intelligent & powerful data scientist test Insights that will help to identify job fit candidates more accurately with score distribution & section analysis features.

Test Duration: 35 minutes

No. of Questions: 12

Level of Expertise: Entry-level/Mid/Senior

Useful for hiring

  • Data Scientists
  • Data Science Engineer
  • Data Science Developer
  • Data Science Associate
  • Data Visualization Designer
  • Data Visualization Analyst
  • Data Analyst
  • Machine Learning Engineer

Topics Covered


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Data Visualization

The Data Scientist assessment test assesses candidates' skills to translate large data sets and metrics into charts, graphs, and other visuals

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Machine Learning Techniques

Our Data Science assessment Test evaluates knowledge of ML techniques and involves computers discovering how they can perform tasks without being explicitly programmed

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Analytics with R & other tools

 The iMocha’s Data Science technical assessment assesses the ability to work on data analytics using R programming language, an open-source language used for statistical computing or graphics

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Exploratory Data Analysis

The online Data Science online test gauges candidate’s understanding of Exploratory Data Analysis refers to performing initial investigations on data to discover patterns, to spot anomalies, test hypotheses, and check assumptions with the help of summary statistics and graphical representations

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Data Manipulation using R

The Data Scientist hiring test contains questions on steps to create small samples of data from a huge dataset. This is done as the entire data set cannot be analyzed at a time

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Regression Analysis

The Data Science readiness Assessment checks knowledge of Regression analysis for estimating the relationships between a dependent variable and one or more independent variables

Sample Questions

Choose from our 100,000+ question library or add your own questions to make powerful custom tests

Question types:

Multiple Option

Topic:

Machine Learning

Difficulty:

Hard


Q 1. You have been asked to train a Naïve Bayes model for spam detection dataset.

Using Python command, what will you add in the given code at XXXX to declare, fit and train your model for the given dataset?
 
import numpy as np
 
X = np.array([[-3, -2], [-1, -2], [2, 2], [3, 2]])
Y = np.array([1, 0, 0, 1 ])

XXXX
from sklearn.naive_bayes import GaussianNB
clf = GaussianNB()
clf.fit(X, Y)
from sklearn.naive_bayes import NB
clf = NB()
clf.fit(X, Y)
from numpy.naive_bayes import GaussianNB
clf = GaussianNB()
clf.fit(X, Y)
from pandas.naive_bayes import NB
clf = NB()
clf.fit(X, Y)

Question types:

Multiple Option

Topic:

Data Transformation

Difficulty:

Easy


Q 2. Let’s assume that you have a Pandas DataFrame(df) in the below table.

Numeric text

When the following command is executed, what happens to the DataFrame?

df = df.fillna(‘’)
df = df.code.apply(lambda x: x[:-3])
  code   open   high
0 AAPL   198.77  200.74
1 ATVI   NaN   47.96
2 ADBE   269.47  272.16
3    27.46  28.12
4 ALXN   138.02  NaN
  code   open   high
0 AAPL   198.77  200.74
1 ATVI   NaN  47.96
2 ADBE   269.47  272.16
4 ALXN   138.02  NaN
It gives an error because of the third row which has an empty string.
 
None of these
 

Sample Report

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Skill wise performance report by iMocha

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You can customize this test by

difficulty level
Setting difficulty level of test      

Choose easy, medium or hard questions from our skill libraries to assess candidates of different experience levels.                       

multiple skills
Combining multiple skills into one test

Add multiple skills in a single test to create an effective assessment. Assess multiple skills together.                                              

adding own skill
Adding your own questions to the test

Add, edit or bulk upload your own coding questions, MCQ, whiteboarding questions & more.                       

tailor made test
Requesting a tailor-made test                  

Get a tailored assessment created with the help of our subject matter experts to ensure effective screening.

Trusted By

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“As a Talent Acquisition Manager, I observed that my team spent too much time in interviewing irrelevant candidates. So our team created an Aptitude evaluation test called Uneecops Common Aptitude Test (UCAT) with the help of iMocha. Now, we share the test with the candidates & based on the assessment report we were able to filter 170 good candidates from the pool of 300.”

Nisha Chandila, Talent Acquisition Manager, UNEECOPS

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Frequently Asked Questions

What is Data Science?

Data Science is a combination of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data. This raw data is further analysed and used to make decisions and predictions making use of predictive causal analytics, prescriptive analytics, machine learning patterns for discovery, etc. These responsibilities of analysing the data is carried out by the Data Scientist who work with statisticians and mathematicians to crack the complex data problems.

Why use iMocha’s online data science test?

iMochs's online data science test is used by top tech companies to vet data scientists and hire the best data scientists. iMocha's data science assessment will help you to:

  • Reduce time-to-hire by 40% with ready-to-use assessments
  • Minimize dependency on technical evaluation team by 50% with in depth skill-wise reports
  • Assess candidates faster with AI-LogicBox questions (an AI-based pseudo coding platform)

What are the key skills that recruiter should look for while hiring a Data Scientist?

You can consider below technical as well as soft skills while hiring great data scientists-

Technical Skills:

  • Fundamentals of Data Science
  • Statistics
  • Programming knowledge
  • Data Manipulation and Analysis
  • Data Visualization
  • Machine Learning
  • Deep Learning
  • Big Data

Soft Skills:

  • Communication Skills
  • Storytelling Skills
  • Structured Thinking
  • Curiosity

What are few interview questions that recruiter/hiring manager should ask while hiring a data scientist?

Here are few important questions that you can ask to data scientists & predict their technical proficiency:

  • Which technique will you use to predict categorical responses?
  • Can you use machine learning for time series analysis?
  • Explain what precision and recall are. How do they relate to the ROC curve?
  • What are the similarities and differences between R and Python?
  • How is logistic regression done?
  • Do you know how to make an R decision tree?
  • How do you build a random forest model?
  • What are your favorite data visualization tools?
  • How do clean up and organize big data sets?
  • What were the business outcomes or decisions for the projects you worked on?

How do you assess the data scientists?

Assessing and hiring great data scientists is a challenging job. iMocha offers a ready-to-use online data science assessment which helps to quantify data science skills and select the most relevant candidate.

This assessment covers the most critical topics of data science like data science with Python programming, data science with R programming, Linear algebra, Machine learning algorithms, data mining, data wrangling and many more. The questions based on these topics are either MCQ’s or LogicBox. Our AI-LogicBox is an artificial intelligence based innovative pseudo coding platform for assessing skills for languages where online coding compilers are not available. Recruiters get comprehensive coding competency report with useful insights so that they can select relevant developers.