Master the Data Science Interview Loop

Learn from the Data Scientist who hire people like you

FEATURES

The better way to up-level your Data Science interview skill


Master Interview Flow

We offer +50 structured questions that flow like a real interview conversation so you know what to expect in your next interview.

Progressive Questions

Our structured question mimics an actual interview loop. One problem can drive multiple follow-up questions progressing from easy to hard.

Candidate Level Signal

We provide insights on what signal differentiates junior or senior candidates.

YOUR JOURNEY

TechRound is for anyone who wants to master Data Science interviews


Add years to your DS experience through practice

You are struggling to land your dream job or uplevel your career to the next level.

TechRound is not just an interview question bank, it’s a learning system that provides you with core Data Science assessment areas to help you succeed in comprehensive aspects.


Master the DS skill areas beyond what you are exposed to

You are a working professional in the Data Science field and want to level up your skills to stay ahead of your competitors.

Our question set breaks down to different assessment areas where you can work your weakest area or double down on your strength that tailors to your need.


Focus your time on what matters to land your dream job

You are starting your journey to become a Data Scientist and starting to learn the fundamentals.

TechRound provides you with the visibility and industry experience to help you master the gap between fundamentals and role expectations so you are more efficient in your learning and preparation process to land your dream job.

The Mindset of a Data Scientist

How to use TechRound to level up and reach your potentials

A little about myself...

- Data Manipulation


- Applied Statistics

- Business Acumen

- Behavioral and Leadership

Wayne Lee
Co-founder of TechRound

The Value of Data Science Education

Much of the value of data science lies in the use of its theory and methods to provide concrete and actionable solutions to complex substantive problems. To do this well, however, takes much more than merely learning theory and methods in classrooms or from books. It require ‘data acumen,’ a central emphasis of the US National Academies’ report on undergraduate data science education. Gaining data acumen requires one to be exposed to the complexity and scope of data science process in actual practical settings, just as there is no other way of learning to swim than actually diving into the water, and trying to stay afloat while moving.

Xiao-Li Meng
Professor of Statistics Harvard
Source
What Are the Values of Data, Data Science, or Data Scientist?
Harvard Data Science Review

Myth 1-2-3

1. You need an Ivy league degree to get into these top tech companies.

Kathie Corl
Product Analyst at YouTube

“Here's why you only have a 0.2% chance of getting hired at Google”

Google gets around 3 million applications a year now, according to HR head Laszlo Bock, and hires 7,000. That means only one in 428 applicants end up with a job, making it far more selective than institutions like Harvard, Yale, and Stanford.

John Carter
Marketing Analyst at Facebook