Top 55 PostgreSQL Interview Questions + Answers in 2024
As you go through this PostgreSQL interview questions guide, you'll learn about all the possible questions and tips that hiring managers might ask during your interview. Read all about it here!
As you go through this PostgreSQL interview questions guide, you'll learn about all the possible questions and tips that hiring managers might ask during your interview. Read all about it here!
Machine learning is one of the most valuable skills that a data science professional can have in 2024. In this article, we'll provide you with the top machine learning case studies to look into.
Delve into the question of whether data science presents a promising career path. Uncover the factors that contribute to its appeal, including job market demand, earning potential, and the evolving landscape of data-driven industries. Gain insights to det
If you're looking for ways to effectively land a data science internship, then this guide is for you. We'll provide you with everything you need to know about it.
If you're struggling to understand how hard it is to get a Google internship, this article is what you need. We've prepared the coherent steps necessary for you to land an internship at Google!
Read through this list of the highest-paying data science jobs. From roles such as Data Scientist to AI Architect, we've covered everything here!
If you're looking to know more about the top data science companies right now, read through this article as we dive deep into the most notable ones you can consider applying to!
Familiarize yourself with the responsibilities and skills required for a data analyst role. This includes proficiency in data analysis tools like Python, SQL, or Excel, as well as understanding statistical concepts.
In this article, we'll discuss optimization strategies that can help mitigate issues. But first, let's understand the common challenges in optimizing SQL queries with multiple JOINs.
This article lists the best projects to demonstrate your analytical skills and knowledge of business analytics tools and concepts.
This week, we've talked with Muhammad Imran Haider, and explored how he transitioned from doing financial analysis for commercial projects to practicing data science at Credit Expert.
We compiled 25 of the best artificial intelligence project ideas you can work on this year.
In this success story, we’ll explore how Dania transitioned from working in HR to attending OSU's data science program, and ultimately being hired for her very first data science position.
If you are currently exploring product analytics for the first time, or looking to improve your understanding, then this guide is for you.
Despite the reduction in hiring and ongoing layoffs, there are many opportunities for data analysts in 2024. This could still be the year for your best career move yet, and this list of the 10 best companies to work for as a data analyst in 2024 should he
After graduation, she worked as an Actuarial Analyst for almost four years. She then turned to Interview Query when she needed to prepare for her career change, and within three months she had two solid offers.
We caught up with the UCLA Director of Career Services, Larry Braman, to understand where MSBA students were experiencing challenges in 2021, and how Interview Query has filled the gap since then.
Simran Singh is a recent graduate of the University of Minnesota with a Master’s in Business Analytics. She took the time to talk more about her background and job h
Data scientists and computer scientists are two of the most in-demand experts right now, and choosing between the two careers can be hard.
By creating a portfolio of Python projects, you not only demonstrate your problem-solving abilities in real-world analytics problems, but you do so in the language most favored by employers and interviewers.
Data scientist Alex Dang used Interview Query to keep his skills and knowledge fresh in between jobs. After facing a layoff from a rideshare company, he found himself in the competitive pool of candidates for his next opportunity in the industry.
Analytics managers are responsible for overseeing data analysis, interpreting results, and using these insights to guide business strategy. As competition for this position increases across the industry, aspiring candidates need to be well-prepared for th
Overall, data science listings remain below historic levels, but that has allowed FAANG to jump ahead in the share of total listings!
SQL scenario-based questions don’t just test your knowledge of SQL queries, but also how well you can apply them in certain situations. The situations or scenarios used will typically mimic real-world problems, and you’ll need your technical and comprehen
In this article, we explore the significance and application of the Multiple CASE WHEN statement in SQL, along with some examples that you might encounter in a technical interview.
In this article, we will explore an important application of SQL JOINs, namely: SQL JOIN on multiple columns.
In this article, we’ll briefly touch upon the SUM() and CASE() functions, some common use cases, and how the two functions can be nested.
This week we caught up with Chandini Ramesh, who has held product analytics roles at Primer AI and Gloss Genius while attending graduate school at Georgetown University.
Overall, data science listings are in a holding position, with the exception of FAANG capturing a growing share of total postings and Business Intelligence taking off since the summer!
While data engineering is in high demand, recent developments in the tech industry have made the field incredibly competitive. Just knowing fundamental data engineering concepts isn't enough to be a candidate on the playing field anymore
Today, we're taking a closer look at the UW MSDS program, including admissions, academic requirements, and fresh perspectives from UW graduates.
Whether you are interviewing for a business analyst, data scientist, or machine learning engineer role, you can expect questions on one of the most significant statistical algorithms - linear regression.
We've scoured the internet for different kinds of customer churn datasets to highlight our favorites in order of difficulty.
In this article, we'll dive into an overview of the position, similar roles that you can apply to, and plenty of interview questions you can use to prepare for a marketing analyst interview.
Data analysts clean, analyze, interpret, and present data in order to gather business insights, drive business decisions, or create explanatory reports on observed phenomena. This role clearly encompasses a broad array of responsibilities, and raises the
This week we've caught up with Owen, who joined Intuit after completing his Bachelors in Data Science at UCSD in 2020 and followed an unconventional path.
In this article, let’s explore what a master’s in data engineering entails and if it’s a good venture for you.
Navigate the 2023 shift from Data Analyst to Data Engineer with clarity. Discover key differences, essential tools, and projects to boost your career transition journey!
Dive into an overview of the position, similar analyst roles in the industry, and some interview questions you can use to prepare for a supply chain analyst role
Discover an in-depth exploration of SQL LEFT JOIN, detailing its syntax, applications, and best practices to efficiently combine multiple rows from different tables.
From July to August of this year, almost all data science positions saw month-over-month increases. Data scientist positions saw the highest gains, with a 25% increase in job openings.
Business analyst interview questions are crucial for potential candidates to demonstrate their ability to connect IT and business objectives.
Dive into the 2023 journey of a fresh grad's rise in data science, from interview prep to landing a role at SoFi, plus insider tips for budding data scientists!
Every company requires a competitive, data-backed pricing strategy to stay relevant and generate revenue. Pricing analysts perform this crucial role through market research, data analysis, and having a clear understanding of the company's vision.
While it's impossible to really know what an AI-dominated workspace will look like before it is here, it's clear that data scientists will have to upskill in order to stay relevant to industry needs.
Learn the essential skills and strategies to successfully enter the field of data analysis without a degree.
In 2023, college graduates are considering grad school as an alternative to the job market. While there has been record-high unemployment rate for recent graduates, given the slump in big tech, there is much more to this story beneath the surface.
In this article, we will delve into data analyst internship interview questions often faced by candidates. Get ready to expand your knowledge on the usual topics covered, expectations from employers, and real-life interview questions.
At Interview Query, we love talking to our success stories. This week I talked to Jennetta who recently joined Attain as a data scientist. I asked her about her interviewing experience, how tough it was to get a job during the current pandemic, and advice
Today, I wrote up my interview with Jerry, a former data science bootcamp and master's graduate who went through a ton of interviews before landing his current job as a machine learning engineer
Explore other options and discuss why VLOOKUP isn’t possible or even a necessity in SQL
In this article, we'll compare the services and resources offered by Interview Query vs. DataLemur, two data interview preparation platforms.
Everything you need to know to become a supply chain analyst in 2023.
Hedge fund data scientists specialize in data analysis, machine learning, and statistical modeling to make informed decisions.
SQL analytic functions, also known as window functions, are powerful features that perform calculations across rows in a result set, allowing for advanced data analysis and aggregation within queries.
Here’s what most prospective quants mistake for when preparing their first quant interview: they prepare for the wrong concepts.
Explore various aspects of conditional joins, including variations and advanced techniques.
The only guide you need for data architect interview process and technical interview questions.
Explore syntax, usage, real-world examples, and advanced techniques of SQL’s COUNT (CASE WHEN...) statement and help you start using it in your queries.
How to write SQL queries for the weighted average and the various techniques you can employ for specific situations.
Explore different techniques and methods for calculating cumulative sums, enabling you to apply these queries confidently in your own projects.
SQL proficiency is essential for anyone seeking a job in data analysis or data science. This SQL cheat sheet for interviews provides a comprehensive yet concise overview of the most important things in SQL.
Interviews for data engineering managers assess two important skills - technical expertise and leadership skills.
Discover your data analyst persona with this fun quiz!
Dhiraj offered insights into the difference between interviews for data scientist and manager-level roles, tips for interviewing success, and how you can turn a data science internship into a full-time job.
An analytical framework is a structure that helps us make sense of data in an organized way.
We spoke with Asef Wafa, a former Microsoft analyst, who landed a job at Google during the height of the December employment cuts.
Job openings in data science grew 11% monthly and 13% yearly across the board. We analyzed the data science job market to understand current trends.
Data science job openings are shifting to traditional industries in 2023. Data analytics is peaking as a specialty. We broke down the data science job market across industries, companies, and positions to understand the current trends.
Data science job openings grew 13% monthly but plummeted for FAANG. Healthcare, Retail, and Banking industries still actively hire data scientists. The shift toward data analytics continues in 2023.
We interviewed our coach, Jitesh Soni, who is passionate about sharing his knowledge, and we are delighted to learn more from his industry insights and tips to help you land your next dream job at a top company.
Ultimately, this pilot program of LMU – which was introduced out-of-pocket by the professor– presented Interview Query with the opportunity to learn how our courses, take-home challenges, and interview questions can be integrated into college courses.
Interview Query helped me understand differences in interview styles and personalize my interview prep for each company.
A SQL project provides hands-on experience in SQL database design and data analytics which can help you learn SQL faster.
There are two main things to consider when evaluating how much money you’ll make when you accept a tech job offer.
Today, we're taking a closer look at UIUC's MCS-DS program in order to get an overview of the program, admissions and academic requirements, and the perspective of a UIUC graduate, who now works in the San Francisco Bay Area in data science.
CASE WHEN` allows data scientists to create a pseudo if…else statement in SQL. We introduce the concept of MAX CASE WHEN dealing with data in SQL, finding use cases, and learning related concepts.
We looked at data science job posting data over the last 18 months and noticed there’s been a 26% drop YOY from October 2021 to October 2022 in the number of data scientist job openings.
It is not surprising that the demand for deep learning–related jobs has spiked over the years as these models improve company profits and customer retention.
Given the importance of data modeling in software development, database administration, and system analysis, data modeling interview questions are common in various technical roles.
A professional degree is often a requirement for data science jobs, and this demand has resulted in a growing number of universities offering data science master's degrees and MBAs in business analytics/data analytics.
I came from an international background and grew up in three different countries. But as you can imagine, it wasn’t the most analytical or quantitatively rigorous major you could have, and preparations for a data science interview were challenging.
Although Google's search algorithm involves more than fuzzy matching SQL, this matching technique is an integral part of making your search experience seamless and relevant.
A lot of job titles that handle tabular data appreciate and expect a strong understanding of Pandas. The list below contains various Pandas interview questions, sorted based on their difficulty.
How long does it take to learn SQL starting from scratch? In this article, we’ll discuss some of the mathematical background behind the language, how to measure your skill level, and more SQL resources to check out.
Typically, a business analyst's SQL interview questions are designed to quickly assess your ability to pull metrics and process data with SQL.
Interviews for customer analyst roles typically include one or more customer analytics case studies.
Meet our AI and neuroscience expert coach with professional experience in natural language processing working previously on Alexa AI at Amazon.
E-commerce case study questions are applicable to interviews for a variety of roles including marketing analytics, business intelligence, data science, and any type of strategic role that relates to attracting and retaining customers for an online brand.
Data science take-home challenges are a common type of assessment used in data science interviews, and they sometimes take the place of the technical screen.
For job positions requiring a lot of scientific calculations, matrix observations, financial, and deep learning analysis, NumPy interview questions will almost always come up.
Some of the most common ways fintech companies use machine learning include fraud detection, risk analysis, and stock predictions. Fintech machine learning projects are the best way to gain hands-on experience.
In addition to helping data scientists analyze and understand projects better, data visualization also makes the analyses accessible, especially in business intelligence-heavy industries.
We can drill this down all we want, but at the end of the day, I I think maybe the phrase the hiring process is broken is prevalent for a reason
I want to share a complete guide into how it’s possible and what it takes to become a data scientist out of new grad
Sports analytics project and datasets can be used to perform a variety of analyses.
Want to be part of this ongoing revolution in the music industry and join the booming music Machine Learning market? Here are 9 Music Machine Learning projects with different levels of difficulty to familiarize you with the field.
Marketing analytics questions in interviews are a combination of definition-based and scenario-based case study questions.
With a little more insight into the similarities and differences between software engineering vs machine learning, you can take the next step in advancing your computer science career.
These Data Science programs offer a unique variety of training and work experiences in diverse specialties that might be otherwise unavailable to new graduates trying to transition into full-time data science (and adjacent) positions.
With more organizations realizing the benefits of applying data science to supply chain management, the industry's demand for skilled data scientists is rising.
Should you grind questions on Leetcode or HackerRank? Should you do peer-to-peer interviews on Pramp? We’ve looked at the competition for preparing you for your data science interview and here’s how they stack up
a Data Science Product Manager acts as a liaison between a business and a data science team to produce and maintain one or more data science products.
Don't know the difference between GROUP BY and WHERE? Here is Interview Query's one-all-end-all guide to Basic SQL Questions, designed to make your interview practice so much easier.
Is it worth it to switch careers from finance to data science? What types of skills will I need to learn to be successful?
For non-US citizens, landing a dream data science job in Silicon Valley starts with visa sponsorship. Yet, for those without a US passport or green card, getting visa sponsorship is a complicated process.
A/B testing and statistics interview questions are usually asked in tandem in interviews, as statistics are heavily utilized in experiment design.
Mathematics plays an integral role in data science. We look at what math you need and how math is applied in data science and machine learning jobs.
Master's degrees in data science and adjacent fields seem to be all the rage lately...are they really the key to getting a job as a data scientist?
At face value, a statistics PhD seems like a sound career investment, the ticket to higher paying jobs and career growth. It’s no surprise, then, that one of the most common questions we hear is: Are statistics PhD programs worth it for data science jobs?
Many data scientists looking for a job, you might find yourself working on a data science take-home assignment in a zipped file with a requirements pdf that’s ten pages long.
Data engineer books are one of the best ways to learn on-the-job.
The product data science interview is meant to test your ability to understand how to build products.
The data science career path from junior to senior data scientist varies greatly in skill level, responsibilities, daily tasks, and everyone’s favorite topic– total compensation.
Curious about how much data scientists are making? Today, I'm disclosing how much money I've earned at different points in my career.
Discover the best 90+ free datasets for your 2024 data science venture, covering machine learning, visualization, NLP, and more. Dive in and elevate your projects!
Given the ambiguity of data scientist roles in the past few years and the requirements needed to attain the position, data science coaches are more necessary than ever.
Due to restrictive data collection methods and ethical concerns, developing a machine learning project involving the healthcare industry is too intimidating.
Data science interview books typically include insights into the conduction of interviews and have practice interview questions (with solutions), interviewing strategies, and tips.
The adoption of image recognition applications has been on the rise and has accelerated even further due to COVID-19 and practicing image recognition machine learning projects is important for any aspiring data scientist.
Master the latest trends of marketinganalytics projects and datasets, covering everything from keyword research to lead scoring for a transformative marketing strategy!
Today, we’ll explore what is a fraud analyst, the required skills and education, and other essential information you'll need to dive into the field.
Overview of the processes involved in starting a data analytics project.
Real estate data science projects have huge datasets that can help investors in determining whether to buy or sell property.
Database design questions are often framed as hypothetical case studies or SQL coding questions. During interviews, however, you might also face basic database and SQL definition questions or scenario-driven problem-solving questions.
Facebook candidates can be expected to demonstrate a solid foundation of SQL knowledge – if not expertise – in several different categories. With such broad constraints for the technical screen, it may be hard to determine exactly what to focus on for the
Growth in data science interviews plateaued in 2020. Data science interviews only grew by 10% after previously growing by 80% year over year.
At Amazon, one of the most well-known, highly sought-after FAANG companies, you have the chance to use your skills to help improve one of the most successful businesses in the world. Acing the Amazon interview is no easy feat.
SQL questions popup in Google data science interviews all the time. And if you’ve got an interview coming up, you might be wondering: How can I prepare for SQL interviews at Google?
Data engineering is the fastest-growing job in the field. Interviews for data engineers increased 40% year-over-year, while data science interviews grew just 10%. In other words, the job outlook couldn’t be better.
Decision science and data science often get mistaken for one another. Both fields require many of the same skills, and there are similarities in how they approach analysis.
Good data is something we define as raw, uncompromised, and observed in their natural state-- this is where social media datasets come into play.
In data engineer interviews, Python is the second most frequent programming language you will find, behind only SQL. In fact, it is listed as a required skill for nearly 75% of data engineer jobs.
Operational analytics refers to the practice of integrating data into business operations to improve customer experiences, speed decision-making, and improve efficiency in everyday operations.
In marketing analytics case studies, the interviewee is provided with marketing data or a specific scenario, then must develop a detailed solution for the provided case question.
Typically, ETL interview questions encompass a wide range of topics including, but not limited to, ETL testing, SQL, ETL coding (typically Python), and even system design.
Interview Query Onboarding & Community Guidelines
Business intelligence case studies are the most difficult part of business intelligence interviews, but using frameworks and understanding how they are graded can help you to prepare for your next BI case study interview.
Project-based behavioral questions are some of the most common inquiries you will receive during a data science interview.
Here’s a secret about quant and finance interview questions: They don’t often relate to finance. Instead, the probability questions in trading interviews are framed as quantitative problems and ask interviewees to make calculations based on the provided i
Data science SQL interview questions mimic the work that data scientists actually perform.
Here's an updated Interview Query FAQ and common issues.
Dive into the definitive 2024 guide covering 60+ Excel data analyst interview questions, from basic to challenging, and ace your next interview
Discover the latest 2023 guide on 20+ Data Science Case Study Interview Questions. Master the framework, improve your communication, and ace the interview!
Python interview questions feature prominently in data science technical interviews. You will likely be asked questions covering key Python coding concepts during a typical interview.
Product analysts get asked a mix of product case study, analytics and SQL questions. See 35 sample interview questions for product analysts.
Business intelligence professionals are tasked with identifying insights from streams of complex business data. These insights in turn help the company stay more competitive, increase profitability or solve specific business problems. Therefore, business
Testing your probability knowledge provides companies with a good idea of your analytical reasoning skills and intelligence, and they often take the form of case studies.
Many times these rejections happen in spite of brilliant technical prowess, often because you didn’t spend enough time preparing for data science behavioral interview questions.
Let’s take a closer look at how to use the OUTER JOIN.
Business intelligence is one of the fastest-growing job sectors in the United States
Learn how to present data science projects in interviews, classes or on-the-job, including tips for aligning to your audience and what information to include.
Data Science Manager Interview questions are much more discussion-based, and they require candidates to craft STAR framework stories.
Everything you need to know about becoming a data scientist, including education, what to study, and how many years of experience you need.
Find a data science job on these job boards designed for data scientists.
Here's a list of the top data science interview questions. See examples of data science interviews asked by companies like Facebook, Google, Amazon, and more.
Sentiment analysis project ideas and datasets that you can work on regardless of your NLP-knowledge level.
Learn how to build an original data science project from scratch, including ideas for formulating a hypothesis and tips for sourcing data.
Interview Query founder Jay Feng counts down ways to build passive income streams with data science.
Understand what it is like to be an intern in Facebook’s Data Science business vertical.
Machine learning’s applications range from simple linear regression to image generation. This very complexity means that landing a role in machine learning requires more than a stellar resume; you need good machine learning projects and a portfolio.
A Master's in business analytics often qualifies candidates for mid-level positions.
Whether you’re an experienced data scientist or just beginning your journey, there are two primary ways to initiate a new data science project. You can either develop a project by implementing an idea from scratch or by discovering an engaging dataset tha
Dive into the 2023 guide highlighting the top 18 classification datasets for machine learning. From beginner to advanced, embark on an exciting project journey!
Dive into our collection of the most hilarious data science memes!
Both platforms were built to help developers navigate tech interview preparations. However, neither platform was specifically designed and built for data science practitioners.
Data science projects are an incredible learning tool for practicing new skills and deepening your expertise. Whether you want to master data analytics or need to brush up on machine learning fundamentals, a data science project is one of the best ways to
Data science projects in Python are one of the best ways to build your expertise and learn new Python skills.
Health informatics professionals with a unique mix of IT skills and healthcare knowledge are rewarded with competitive salaries.
Every company has questions related to their pricing: How should products be priced? How does pricing affect customer purchasing behavior? How will prices impact sales and revenue forecasts?
Pros, cons and salary data to help you determine if a master’s in data analytics is worth the investment.
For many, marketing analyst roles are the first step into data science, as the job requires a range of skills relevant to the data science field, including analytics, SQL, statistics, and modeling.
The most apparent reason to consider a PhD in mathematics is the salary. For private industry jobs, math PhDs earn high starting wages.
Data analytics projects help you build your portfolio and land interviews. However, it’s not enough to just do an interesting analytics project. You also have to market your project to ensure it gets found.
This DoorDash case study guide provides everything you need to prepare! Tips, video overview, and sample DoorDash analytics case study questions.
Data scientist is a top-rated job for work-life balance.
Learn more about the new feature Performance Score and our data science skills test, Challenges.
See a step-by-step process for preparing for data science interviews.
Data science consultants help bridge the gap for businesses, offering guidance and expertise– and companies pay handsomely for it.
PhD in economics offers some of the highest starting salaries of any field. PhD in economics offers some of the highest starting salaries of any field.
A Master's in degree in data science results in a significant salary bump and increase career earnings.
Prepare for computer vision interview questions and learn what to expect in machine learning interviews.
See how companies like Scale use operational efficiency to label 1M data points per week.
A Ph.D. in data science doesn’t just offer a bump in salary, it’s increasingly becoming a required credential for the industry’s most prized jobs.
Explore some of the ways data science is used in cryptocurrency, from two data scientists working at crypto exchanges.
Data science bootcamps and master’s programs are two of the most common pathways into becoming a data scientist.
Data visualization questions show up regularly in interviews for data analyst roles.
We’ve put together this guide, which features everything you need to know about how to prepare for a data engineering interview.
Data engineer SQL interview questions tend to mirror the work that engineers do.
Preparing for a data analyst interview can seem like a mystery, and we regularly hear from members about how to study and what to expect.
Learn more about the machine learning scientist role, how it differs from data scientist and machine learning engineer, as well as how to become a ML scientist.
Learn more about data analyst career opportunities, including job outlook for data analysts, different roles and more.
See sample algorithm machine learning questions and learn what types of machine learning algorithm questions are asked in interviews for data science jobs.
Typically, Python machine learning questions test your machine learning algorithmic coding ability and ask you to perform tasks like using pandas, writing machine learning algorithms from scratch, or answering basic Python questions related to machine lea
Many machine learning questions in interviews are therefore definition-based, theoretical questions. These questions test your ability to apply ML theory towards a business goal.
Master your 2023 data engineer interview with our comprehensive guide, covering everything from SQL, Python, ETL, to behavioral questions and real-world case studies!
A data science skills test offers insight into your performance. For candidates, a well-calibrated skills test provides a score of where they stand compared to other data science professionals (similar to SAT percentiles).
SQL Interview Questions are commonly asked on every data analyst interviews. These interview questions aim to quickly evaluate your ability to extract metrics and work with data using SQL.
One of the best ways to prepare for SQL case study interviews is to walk through solutions step-by-step.
Explore the latest data analyst interview questions. Featuring questions in areas like SQL, Python, data visualization and more.
Interview Query is partnering with Columbia University and Georgia Tech to help soon-to-be graduates prepare for technical data science interviews
Case study interviews for data engineers are one of the most challenging stages of the interview process.
Data analytics case study questions are notoriously difficult to study for and answer. Learn how to answer them from this guide.
Data analyst behavioral questions tend to be vague and open to interpretation. Learn how to approach these questions, so you don't get tripped up.
See how one candidate transitioned from consulting to data science and landed a job at Facebook.
Considering an applied math major for data science? See how studying applied math can prepare you for data science jobs.