Data
Analytics
Test
The coming decade is one of immense opportunity for India with the
majority of our population under the age of 35 and growing proliferation
of global technology.
For a long time, India was known as the land of outsourced
opportunities. The past decade however has shown that Indians can
build global products and businesses. This is expected to grow manifold
in the coming years provided we solve for one crucial element - skilled
talent.
Today, there is a massive divide between aspirants looking for the right
opportunities on one side, and companies vying for the best talent on
the other. Historically exposure to opportunities have been defined by
one’s college, their degree or who they already knew in the industry. The
events over the last year have only made the situation worse.
We believe it is high time that this changes for good! We believe that
hiring should depend only on your capabilities and skills, not your
college degree.
Being India’s Largest Learning Platform, democratising knowledge and
access is a core tenet of the Unacademy Group. We are now extending
that to opportunities through Relevel by levelling the playing field for
millions of Indians. We imagine a future where candidates have a
transparent path to the career of their dreams.
At Relevel, we believe your history doesn’t matter. Your skills do. Your
network doesn’t matter. You do!
All the best. We know you can crack it!
What do I need to do?
The Data Analytics test consists of a series of 5 rounds, conducted on a
single day. Candidates who score above 200 after Rounds 1 and 2
qualify for the subsequent rounds.
Achieve a Relevel score above 500 and be prepared to receive offers
from multiple companies. Here’s how it works:
Rounds 1 & 2 10:00 AM - 12:15 PM
Back to Basics
Analytical Tools Test
Rounds 3 & 4 2:00 PM - 4:15 PM
Structured Querying Tes
Python Programming Test
Round 5 5:00 PM Onwards
Face the Interview
Result Declaration within 5 working days after the test
Company Placements Continuous
Is this for me?
If you are looking to kickstart your career in Data Analytics and you
Are a fresher or working professional
Are actively looking for your first or next job
Should be above 18 years of age
This is the right test for you!
How do I apply?
Candidates can now register and take the test in three simple steps
Login to relevel.com
Book your slot and choose the day you wish to take the
exam
Back to Basics Duration: 60 mins Max Marks - 200
This round consists of 50 questions that will test the candidate on their
knowledge of quantitative aptitude, logical reasoning, and data
interpretation skills.
Note: There will be negative marking for each question in this round.
For each wrong answer, a penalty of 50% negative marking will be
applied.
Analytical Tools Test Duration: 60 min Max Marks - 200
In this round, the candidate will be tested on their understanding of basic
analytical tools and concepts. The round is further divided into four
segments: Excel, SQL, Python and Statistics.
Note: There will be negative marking for each question in this round.
For each wrong answer, a penalty of 50% negative marking will be
applied.
Structured Querying Test Duration: 60 mins Max Marks - 165
In this round, the candidate will be given a case study on SQL to solve.
The candidate will be given a dataset, pertaining to which they will have
to solve 3 objective-type questions and 2 subjective-type questions.
Python Programming Test
Duration: 60 mins Max Marks - 165
In this round, the candidate will be expected to write a Python code.
They will have to run the code and derive definite answers. The
candidate will be tested based on their familiarity with various functions
in Python and how efficiently they are able to interpret the Python code.
In this round, the candidate is expected to submit the coded solution and
provide a screen-based presentation explaining what they have done.
Face the Interview Duration: 45 mins Max Marks - 270
In this 45 min interview, A senior business leader will test the candidate's
understanding of data analyst roles and ability to find solutions to business
problems using data.
How am I shortlisted?
Qualification Criteria
Candidates who score more than 200 in Rounds 1 and 2 qualify for subsequent round
Candidates who score more than 500 in total qualify the Relevel Test
Candidates will be called for interviews by companies based on their overall Relevel Score.
Note: In case you score 0 in any of the individual skills, you will not be considered qualified
for the Relevel Test despite score of 500+
Which Companies
will I be hired at?
We have close to 350+ jobs with CTC’s upto 15 LPA
that are waiting for you
What does my result look like?
Each round is used to assess key competencies needed to perform in a
Data Analyst role. All candidates who clear the test will receive a
personalised profile as shown below:
Bravo, you’ve completed the test!
Here are your results statistics for the test on June 21st 2021
Create Profile
970 Share feedback to
Get your Relevel Profile verified
/1000 unlock Breakdown
and get your dream job
Qualified Share Feedback Create
Skills and Areas of Knowledge
SQL 44.3/200
Data Interpretation and Analysis
44.3/200
Python 44.3/200
Data Handling
44.3/200
Communication
44.3/200
Roundwise Results
Round 1 Round 2 Round 3 Round 4 Round 5
Prove your aptitude
Correct General Ap titude 90%
Incorr 24%
ect
Incorrect Top Score 98%
Unattempted Avg. Score 76%
Syllabus
Statistics
Suggested Reading Materials
Regressio Satistics for management by K P
Central Tendenc Singh
Dispersion Measure
Estimatio
Hypothesis Testing
Populatio
Scatter Plo
Forecasting
Data interpretation
Suggested Reading Materials
Reading representations Logical Reasoning and Data
Interpretation for CAT by Nishit
Understanding relations
K. Sinha
Quants Suggested Reading Materials
Inequalities How to Prepare for
Quantitative Aptitude for the
Percentages
CAT by Arun Sharma
Number Series
Arithmetic Aptitude
Profit and Loss
Simple Interest and Compound Interest
Age Problems
Syllabus
SQL Suggested Reading Materials
Data Retrieva Getting Started with SQL by
Data Processin Thomas Nield
Database Managemen
Data Sorting
Python Suggested Reading Materials
Data structures and Librarie Python Data Science Handbook
Data wrangling procedur
Data collection procedur
Prediction analysis
Note: The resources are provided for reference purposes only. Feel free to
learn from other learning materials too.
Is this all real?
Apply now and
find out for yourself
www.relevel.com
