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 data science tests within a glance. The candidate feedback module will ensure candidates have excellent experience with iMocha.

Data science aptitude test contains 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.

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

Data Visualization

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

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

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

Exploratory Data Analysis

The online Data Science online test gauges a 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

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

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 the spam detection dataset.

Using the 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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Setting difficulty level of test

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

Combining multiple skills into one test

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

Adding your own questions to the test

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

Requesting a tailor-made test

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

Rehana Nisar, Global Product & Services Recruitment Head, Gartner

“We realized that to acquire quality talent, our recruitment process was in dire need of automation. Too many of our technical team were simply wasting hours conducting interviews that did not yield the desired results. For us, the foremost criteria was to find a recruitment partner who could tick all the right boxes.”

Rehana Nisar, Global Product & Services Recruitment Head,
Gartner

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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.

Online Data Science & Analytics Test

12754+

132+