The word oblivious has appeared 138 times on NYTimes.com in the past year, including on Jan. 10 in The New York Times Magazine article “Why Are American Drivers So Deadly?” by Matthew Shaer:
Langer is not wrong about the efficacy of stronger enforcement. A country like France is proof. In 2003, the French government began installing a network of speed cameras on its roads and ratcheted up fines. As a result, rates of speeding steadily dropped in the first decade of implementation, as did the number of severe injuries and fatalities. And many provinces in Canada more or less revoke the license of impaired drivers, often impounding the driver’s vehicle for good measure. Years ago, my wife and I took a trip to Australia and rented a car to drive from Melbourne to Sydney. I remember flying down the undulating highway, marveling at the tortoise-like pace of the cars around us. Then I got home, opened my email and discovered a $400 ticket passed on to me by the rental-car company. Attached was a picture of me behind the wheel, oblivious to the reality that the other drivers had already internalized: The highway was studded with speed cameras.
Daily Word Challenge
Can you correctly use the word oblivious in a sentence?
Based on the definition and example provided, write a sentence using today’s Word of the Day and share it as a comment on this article. It is most important that your sentence makes sense and demonstrates that you understand the word’s definition, but we also encourage you to be creative and have fun.
If you want a better idea of how oblivious can be used in a sentence, read these usage examples on Vocabulary.com. You can also visit this guide to learn how to use IPA symbols to show how different words are pronounced.
Students ages 13 and older in the United States and the United Kingdom, and 16 and older elsewhere, can comment. All comments are moderated by the Learning Network staff.
4. After you have posted, read what others have said, then respond to someone else by posting a comment. Use the “Reply” button to address that student directly.
On Wednesday, March 6, teachers from our collaborator, the American Statistical Association, will facilitate this discussion from 9 a.m. to 2 p.m. Eastern time.
5. By Friday morning, March 8, we will reveal more information about the graphs, including a free link to the article that includes these graphs, at the bottom of this post. We encourage you to post additional comments based on the article, possibly using statistical terms defined in the Stat Nuggets.
Reveal
We’ll post more information here on the afternoon of Thursday, March 7. Stay tuned!
• Learn more about the notice and wonder teaching strategy from this 5-minute video and how and why other teachers are using this strategy from our on-demand webinar.
• Sign up for our free weekly Learning Network newsletter so you never miss a graph. Graphs are always released by the Friday before the Wednesday live moderation to give teachers time to plan ahead.
• Go to the American Statistical Association K-12 website, which includes teacher statistics resources, Census in the Schools student-generated data, professional development opportunities, and more.
Students 13 and older in the United States and the Britain, and 16 and older elsewhere, are invited to comment. All comments are moderated by the Learning Network staff, but please keep in mind that once your comment is accepted, it will be made public.
A large interview panel, long waits in between rounds, take-home assignments — should you be running for the hills? At the risk of sounding like a Senior Engineer, it depends. When you submit a job application, there are a lot of processes happening behind the scenes that can cause delays, says Nadia Vatalidis, Director of Talent Acquisition at Camunda, who has worked in recruitment and talent acquisition for more than 20 years. It’s been a tumultuous few years in the tech job market, with widespread layoffs leading to more competition for each role. A long job interview process isn’t always cause for concern, but it can be a clue into how the team operates and what it’d be like working at an organization.
So, what’s the holdup, and what can you do if things are taking too long?
What happens after you submit an application?
The stage between applying and hearing back from the company is often the longest. “For any role, there could be 50 applicants, 3,000, or even 8,000,” Nadia says. “Some companies use AI, assessments, or some form of automation to filter candidates for the right experience and competencies, but others might be filtering manually in the applicant tracking system.”
In addition to the large number of candidates, multiple people may be giving input and assisting in the candidate filtering process, says Nadia. All of this can add time, especially if the company works asynchronously across multiple time zones.
Learn something new for free
So, how long should you expect to wait for a response to your application? “Between five and seven days is reasonable,” says Nadia. “Trying to reduce that review time to, say, 24 hours may mean that the talent acquisition team rushes the process, losing out on great candidates.” It’s tough to stay patient when your future career is on the line but think of it this way: You spent a lot of time working on your resume and portfolio, and you’d want the same attention and care given to your application.
It’s also worth mentioning that some automated emails from recruiters can inadvertently end up in your spam. “Some applicant tracking systems send notifications from ‘no reply’ email addresses, which often land in your junk folder,” says Nadia. So, if you are waiting on tenterhooks for a reply, it might be worth checking there.
Why can it take so long between interviews?
“If the hiring manager submits their feedback within 24 hours, I can get back to the candidate within 24-48 hours,” says Nadia. However, not every company you apply to will have a dedicated talent acquisition team or a formal applicant tracking system that notifies people that a candidate is waiting for next steps. “Sometimes a hiring manager might send a Slack message to the recruiter to say, ‘This went well, please move them forward,’ but we actually need them to complete the feedback form in the applicant tracking system before we can advance the candidate,” says Nadia.
Giving a deadline can actually help the recruiter to get the hiring manager to make a decision if they’ve been stalling.
Nadia Vatalidis
Director of Talent Acquisition at Camunda
If the process is taking a while and communication is erratic, this isn’t necessarily a red flag. Put it in context and consider the size and type of company you applied to and the complexity of the role. A well-established, post-IPO company probably has more regimented hiring procedures than, say, a series A startup with 50 employees. Empathizing with the hiring team can help to alleviate some of your frustration about waiting. (While they might use helpful AI tools to speed up the hiring process, they’re human too!)
This might also be a moment for you to reflect: do you want to work for a scrappy startup where you will probably be wearing many hats? Or would you prefer the structure of a big corporation? The hiring process can give you useful signals about what stage the company is at.
How many interviews is reasonable?
For a junior level position, Nadia believes up to four rounds of interviews should be sufficient to make a hiring decision. That might include a screening call, a technical interview, and a couple informal meetings with your potential team members. “If their interview panel is 10 people, something isn’t right; they might be looking for a standard that isn’t realistic,” she says.
The same principle applies if a company requires a long work sample or take-home assignment. “Their interview skills as a hiring manager or recruiter may be lacking if they can’t discover what they need during the interview process or by looking at your portfolio or body of work on GitHub, for example,” Nadia says.
Ideally, the company should be transparent about their hiring process and how many stages are involved before you apply. Feel free to ask the hiring manager at the start of the process how many stages of interviews you can expect. That way, you can decide upfront whether you’re comfortable with the amount of time and effort you’ll need to invest in it.
Why is it taking so long to get an offer?
It could be as simple as the person who signs contracts and approves salaries is out of office, says Nadia. “Another reason could be if you didn’t discuss compensation at any point in the hiring process, now the recruiter and hiring manager need to establish your expectations and if they can meet them,” she says.
Of course, there is always the possibility that they are trying to choose between you and another candidate. “Sometimes the hiring manager is genuinely struggling to decide,” Nadia says. If you’re dealing with a lean tech startup where there are lots of first-time managers, there could be subconscious delays. “They might be dealing with 10 other things on their team — some bug, an application being down, someone leaving the company, or even something positive in their personal life,” she says. “All those things are distracting and can impact the timeline.”
How can you follow up?
It’s not needy to send a follow-up message to the hiring manager. “If you’re waiting a week or longer between stages, it’s fine to check in with your contact in a kind, direct, and clear way,” says Nadia. And you don’t need to have a competing offer to press them for a decision: “It’s completely okay to say, ‘I interviewed on this date and would love some feedback by Friday afternoon,’ and you don’t need to give a reason or add an ultimatum.”
Asking for a response by a specific date can help to nudge things forward. “Giving a deadline can actually help the recruiter to get the hiring manager to make a decision if they’ve been stalling,” Nadia says. (We have more great advice on what to do if you’re ghosted by a recruiter.)
The delay itself is not a red flag, but how the company responds to your request can be illuminating, Nadia says. “If they respond rudely or make you feel bad for following up after they’ve gone silent, maybe you want to find an opportunity to work for another great company,” she says.
If you’re in between interviews, it’s always good to stay busy. Check out our Career Center for resources to help you prepare. If you’re waiting on a decision, hopefully these insights will help you feel more empowered to take action when the time (and job) is right.
Make continued learning and development an integral part of your business and watch your employees – and your balance sheet – thrive. While making an effort to upskill your team involves positive action, in today’s fast-paced and ever-evolving business landscape, doing nothing is a recipe for failure. The rapid pace of technological advancement is such that it has never been easier to fall behind the competition. In this blog, we’ll explore why upskilling your team is essential for staying competitive and the costs associated with doing nothing.
Stagnation Risks
No matter what sector your organisation is operating in, there are new technologies and methods of working regularly emerging. Companies and organisations that are stagnant risk falling behind or even becoming obsolete. Employees deprived of ongoing learning and development initiatives may struggle to keep up with industry trends, and productivity and innovation can suffer. The news media is just one of many sectors that is thriving, thanks to embracing new technologies and upskilling staff to operate digitally.
Goodbye Competitive Edge
In today’s global economy, successful organisations are able to differentiate themselves from their competitors. Upskilling your team equips them with the knowledge and tools needed to stay ahead of the curve, whether that means mastering new software, adopting best practices, or acquiring in-demand skills. Take Amazon, the delivery giant. It actively supports employees to expand their skills, including training blue-collar staff in software engineering, and expanding their opportunities within the company.
Low Morale and High Turnover
Employees relish opportunities for growth and development. When an organisation neglects to invest in its employees’ professional development, the result can be gradual disengagement, low morale, and, ultimately, higher turnover rates. Recruiting, onboarding, and training new staff is an expensive business and is money wasted when you can upskill staff for nothing with Alison’s groundbreaking free learning management system (FLMS).
Errors and Inefficiencies
Staff who miss out on training and skill development may struggle to perform their duties effectively, leading to inefficiencies and costly errors. Upskilling your employees will not only enhance their performance but also reduce the likelihood of mistakes that could damage your organisation’s reputation and its bottom line.
Loss of Innovation
Upskilling your team can foster a culture of innovation where employees feel empowered to explore new ideas and approaches. Failure to invest in professional development stifles creativity and limits the organisation’s ability to adapt to changing market conditions and customer needs.
Unhappy Customers
Inevitably, a poorly trained team can lead to dissatisfied customers. The issue could be longer wait times, inferior products or services, or outdated solutions, but customers will notice if your team is falling behind or failing to deliver value effectively. With brand loyalty in seemingly permanent decline – down 50% during the pandemic, according to McKinsey – customers are less inclined to give an underwhelming product or service a second chance.
In conclusion, failing to upskill your team could cost your organisation everything. By investing in your employees’ continued learning and development, you not only future-proof your organisation but also foster a culture of innovation, efficiency, and excellence. Begin by registering for Alison’s free LMS. You can select from a curated menu of courses according to industry or topic and access expert training in a flexible format. With over 5,000 courses available, you can find everything from digital technologies to languages (including business English), sales and marketing, administrative skills, data analysis, business development skills, academic subjects and much more.
So don’t wait until it’s too late – start upskilling your team today and reap the benefits of a skilled and empowered workforce.
Above is an image related to one of the news stories we followed the past two weeks. Do you know what it shows? At the bottom of this quiz, you’ll find the answer.
Have you been paying attention to current events recently? See how many of these 10 questions you can get right.
Local, independent businesses are part of what makes a city or town unique, especially with the proliferation of chain stores and restaurants across the country and around the world.
Are there any local businesses where you live that you want to celebrate? Perhaps they are a hangout spot, serve a regional specialty or have been around for generations.
If not in your own community, have you found such places while traveling?
New York City has its bodegas. The South has its gas stations.
When you stop for motor oil in Mississippi, you can also grab fried chicken on a stick. In North Carolina, you can buy a steamy bowl of pozole along with batteries and a five-pound bag of White Lily flour.
There might be shawarma next to the shotgun shells, or wedges of mild hoop cheese and packets of saltines for sale at the counter along with lottery tickets and pecan pie that the owner’s sister made.
Documenting these independent Southern temples of commerce and community has become a singular focus for the photojournalist Kate Medley, who, like most kids raised in Mississippi, grew up eating at rural gas stations.
Now living in Durham, N.C., Ms. Medley, 42, has spent more than a decade collecting images for her book of photographs, “Thank You Please Come Again,” which the digital magazine The Bitter Southerner published in December. The book began with a journalist’s curiosity, but ended up as a way for a daughter of the Deep South to make sense of the beautiful, brutal, complicated place she came from.
The article continues:
A dozen years ago, Ms. Medley discovered a Citgo in Durham that had become a Nicaraguan place called the Latin America Food Restaurant. She developed a theory.
“I thought I could chart the emerging immigrant foodways of the South by way of what was happening in the backs of these gas stations,” she said.
Some independent gas stations are fading in the fluorescent light of chains like QuikTrip and RaceTrac, with their cheap gasoline, hot-dog rollers and endless banks of soda machines. Some station owners let the gas pumps run dry or remove them altogether because the local economy is too depressed. Other gas stations have become churches or nightclubs, or have been abandoned altogether.
The book opens with an essay by the Southern writer Kiese Laymon, who grew up in a very different part of Jackson, Miss., than Ms. Medley. She didn’t know him when she reached out, but he understood her project immediately.
“I’d never thought about the fact that my favorite restaurants, as a child, as a teenager, as an adult returning to Mississippi, nearly all served gas,” he writes. “And I never, ever, thought of them as gas stations that served food.”
He tells the story of childhood trips to Jr. Food Mart in Forest, Miss., on Friday nights. His grandmother’s boyfriend, Ofa D, would slip in a Tina Turner tape and drive them in his pickup. They’d order a box of dark-meat chicken, a foam container of fried fish and a brown paper sack filled with the fried potato wedges everyone in Mississippi knows as potato logs.
Students, read the entire article and then tell us:
What are your favorite local businesses? What makes them special? What do you think your community might lose if they closed?
What can someone learn about a place by eating or shopping at its local businesses?
If you had the chance, would you want to stop at any of the rural gas stations described in the article? Would you want to eat there? Why?
Would you ever want to undertake a project like Kate Medley’s effort to document rural gas stations in Southern states? Why or why not? What region or type of place would you want to shine a spotlight on?
Students 13 and older in the United States and Britain, and 16 and older elsewhere, are invited to comment. All comments are moderated by the Learning Network staff, but please keep in mind that once your comment is accepted, it will be made public and may appear in print.
There are 18 shows opening on Broadway in March and April, including a new version of the 1975 musical “The Wiz,”musical adaptations of “The Notebook” and “The Outsiders,” and plays that star celebrities like Steve Carell and Rachel McAdams.
Have you ever seen a performance on Broadway? If not, what live theater have you experienced, whether at school, in your local community, on a vacation or anywhere else? What was memorable about it?
Whether you’ve spent much time at the theater or not, what plays, past or present, do you most wish you could see? To help, you might take a look at this list of the highest-grossing Broadway musicals since the 1980s. Do any of them appeal to you?
Tell us in the comments, then read the related article to learn more.
Students 13 and older in the United States and Britain, and 16 and older elsewhere, are invited to comment. All comments are moderated by the Learning Network staff, but please keep in mind that once your comment is accepted, it will be made public and may appear in print.
“The world is connected, but that has created a problem,” Tony Burke, the minister for employment and workplace relations, said in an interview with Australia’s public broadcaster on Tuesday.
“If you’re in a job where you’re only paid for the exact hours that you’re working, some people are now constantly in a situation of getting in trouble if they’re not checking their emails,” Mr. Burke added. It is reasonable for employers to contact their workers about shifts and other matters, he said, but workers should not be obligated to respond to these messages during their uncompensated hours.
Unions and other industrial groups have long argued that employees have the right to disconnect, but the issue gained salience during the pandemic, when a widespread shift to remote work led to the further blurring of boundaries between home life and work life.
Daily Word Challenge
Can you correctly use the word salience in a sentence?
Based on the definition and example provided, write a sentence using today’s Word of the Day and share it as a comment on this article. It is most important that your sentence makes sense and demonstrates that you understand the word’s definition, but we also encourage you to be creative and have fun.
If you want a better idea of how salience can be used in a sentence, read these usage examples on Vocabulary.com. You can also visit this guide to learn how to use IPA symbols to show how different words are pronounced.
Students ages 13 and older in the United States and the United Kingdom, and 16 and older elsewhere, can comment. All comments are moderated by the Learning Network staff.
Data Scientists are a hot commodity. The U.S. Bureau of Labor Statistics projects that demand for Data Scientists will grow 35% by 2035, which is much faster than other occupations. Despite the wealth of open positions in the field, you’ll still need to ace your interviews to land one.
To help you prepare, we’ll walk you through what you can expect during a Data Scientist interview, some common questions, and tips for answering them. Challenge yourself to respond to open-ended questions in our revamped Data Analyst and Data Scientist Interview Prep programs. Receive instant feedback from AI based on your answers, highlighting any areas that could use improvement. Or, for a more in-depth exploration of a Data Scientist’s fundamental knowledge and skills, check out our Data Scientist: Machine Learning Specialist career path.
What should someone expect when going in to interview for a job as a Data Scientist?
When going in for a Data Scientist interview, you can expect your interviewer to ask questions that test your knowledge of gathering, analyzing, and applying data.
Also, because Data Scientists need to produce, examine, and interpret datasets, the interviewer will want to see your problem-solving skills. They might also check on your ability to work with others and maintain a focus on high-level objectives — not just the figures on your screen.
Learn something new for free
You can also expect them to ask questions about your work history, challenges you’ve faced, and why you want to work at their company. Even though Data Scientists spend a lot of their time working with data, working with people is just as important — so you should expect some questions about your soft skills along with your technical knowledge.
Data Scientist interview questions
Data Scientist interview questions can be grouped into two basic categories: technical or behavioral. Technical questions help the interviewer gauge your familiarity with the tools you’ll need as a Data Scientist. Behavioral questions help illustrate your personal competencies and thought processes. While the technical questions may seem more difficult on the surface, you should take the time to prep for both.
Behavioral Data Scientist interview questions
Again, behavioral interview questions help your interviewer understand who you are as a person. These questions often center around your experience, thought processes, aspirations, and motivations. Here are a few common behavioral Data Scientist interview questions.
Why do you want to be a Data Scientist at this company?
This question gives you the opportunity to talk about:
Why you enjoy being a Data Scientist
Specific aspects of the company’s products or services that draw you to it
Elements of the company culture that you find attractive
Specific projects the company has been involved with that appeal to you
When answering this question, you’ll want to show that you’ve done your research about the company and what it offers. You should also explain why you’re passionate about data science as a problem-solving tool.
How do you deal with challenges?
To answer this question, you’ll want to show you know:
How to solve problems involving both data and interpersonal relationships within a team setting
How to stay calm under pressure
How to communicate with others on your team when addressing an issue
How to both lead and follow when a challenge arises
Discussing how you address challenges that arise within a team environment allows you to showcase your ability to listen, communicate effectively, and help yourself and others focus on the team’s objective. While talking about challenges related to gathering, organizing, and analyzing data, you have the chance to show your ability to think creatively and find solutions.
How has your previous experience prepared you for this role?
Data Scientist interview questions like this help your interviewer assess your understanding of the role for which you’re applying, as well as your ability to use your experiences as learning tools. Explain how universal skills like effective communication and collaboration transfer to your new role. You could also highlight any relevant tools or techniques you’ve used in previous positions.
Technical Data Scientist interview questions
Technical interview questions often focus on how you approach the challenges Data Scientists face every day. In some cases, the question itself may not specifically allude to any technical tools, but you should still view your answer as an opportunity to show you know which tools and techniques best solve key problems.
Before the interview, it’s a good idea to mentally list the tools you’ve used to solve problems, ranging from data science-specific tools like SQL and Python to general tools like Excel and PowerPoint. You may also want to take a few data science courses to brush up on any skills that are listed as preferred or required on the job description.
What is selection bias, and why is it important to avoid it?
Selection bias refers to data samples that aren’t randomly selected. Avoiding selection bias is important because insights derived from biased datasets aren’t useful. While answering this question, discuss the tools and methods you’ve used to avoid selection bias, such as weighting, boosting, and resampling data.
Are large datasets always the best choice?
The best way to answer a question about the ideal size of a dataset is to explain how it depends on the context of the situation. Then, provide examples of how different circumstances require different sizes.
For example, large datasets aren’t always cost-effective because they require vast amounts of computational power, human resources, and time to maintain. Plus, there might even be redundancies in your data. In many situations, you can use a smaller dataset without sacrificing the validity of your results.
What is meant by root cause analysis?
Root causes analysis involves reverse-analyzing an issue to figure out the original problem that caused it. But, your answer to this question shouldn’t stop after you’ve provided a definition. Provide an example of how you used root cause analysis to solve a problem either at a previous job or in your studies.
How do you find outliers in a set of data?
While answering this question, showcase your understanding of outliers by explaining how they jeopardize the integrity of your dataset and can possibly lead to errors in your results. Then, explain how you identify outliers with methods and techniques like composing histograms or using quartiles or standard deviations.
By practicing the technical and behavioral questions above, you’ll be well on your way to landing a position as a Data Scientist. Remember to prepare ahead of time so you’re comfortable and ready to show why you’re the best choice for the job. In our upgraded Data Analyst and Data Scientist Interview Prep paths, you can assess your responses to open-ended questions, receive immediate AI-generated feedback, and pinpoint areas for improvement.
If you’re still feeling uncertain and want to ensure you’re well-prepared, check out our Data Scientist: Machine Learning Specialist career path. You’ll learn all you need to know to gain an entry-level position in the field. Plus, you’ll also build a portfolio that showcases your skills to future employers.
This blog was originally published in July 2021 and has been updated toinclude details about our new AI interview prep features.
Congratulations! You’ve landed an interview for a Data Analyst position at the perfect company. You’re only inches away from your dream career, and all you need to do to seal the deal is answer a few questions.
Of course, it’s best to practice first. To make sure you’re well-prepared for your upcoming interview, we’ll walk you through some common data analyst interview questions. Read on for a mix of technical and behavioral questions that’ll help refresh your understanding of data analytics’ fundamentals and key principles. Then test your ability to answer these types of open-ended questions on the spot in our new and improved Data Analyst and Data Scientist Interview Prep paths. We’ll give you instant AI-generated feedback based on your response, and identify any areas that need improving.
What are the key concepts of data analytics? How have you applied these in working with datasets?
Key concepts and elements of data analytics include:
Big data
Database design
Data mining
Data segmentation
Statistical analysis
Data cleansing
Data profiling
Data validation
Clustering
Collaborative filtering
Time series analysis
Learn the definitions of these terms and concepts and describe how you used them to solve a problem.
Learn something new for free
You may hear this question during a technical interview. Describe ways you debugged code or built or added features to a product. You may want to bring in examples of what you applied using programming languages, coding, data projects, or checking code.
Technical interviews sometimes require candidates to solve a data problem or at least lay out their approach to the problem and explain how they’d find a solution. The interviewer would likely be looking for the candidates’ methods rather than the correct solution.
How do you approach problem solving?
Give your interviewer a glimpse into your mind. Describe any problems you’ve encountered with incomplete or poor quality data, and explain how you cleansed it or filled its gaps.
Provide examples of how you handled new tasks, dealt with challenges, managed multiple responsibilities, overcame disagreements and mistakes, and performed under pressure. You don’t have to explain every challenge you’ve ever faced, but have some real examples on-hand that illustrate your problem-solving ability. Read more about problem-solving strategies you can work on and show off in your interviews.
What are your certifications and/or course experience?
Point out any qualifications you’ve earned, especially in key computer languages or systems such as Python. If you’re well-versed in database management or statistics, this is an opportunity to highlight your knowledge of those functions. With Codecademy Pro, you can earn professional certifications when you pass all the exams in a career path. These professional certificates validate expertise to both yourself and potential employers.
You may also want to highlight your familiarity with libraries and frameworks geared toward data science, like SciPy or Seaborn.
If you don’t have many certifications, try explaining how your experiences in past positions relate to your capacity as a Data Analyst.
Why are you looking to make a career change?
You’ll likely hear this question if you’re switching to a new career in data analytics. In an article for The Muse, Caris Thetford recommends answering this question by explaining how the universal skills you gained from your past experiences have influenced your approach to coding.
This type of question is also one you can answer with a practiced elevator pitch that emphasizes your desire to produce great work as a reason for your career switch.
If you’re uncertain about your experience with or knowledge of data analytics, try addressing how your skills transfer into the specific industry you’re aiming to enter.
Prepare for your Data Analyst interview
Because of its wide range of applications in data science and analytics, you may also be questioned about your knowledge of Python. Use this list of practice Python interview questions to refamiliarize yourself with the language’s key components and concepts.
Before your interview, put your skills to the test by answering unstructured questions in real-time through our enhanced Data Analyst and Data Scientist Interview Prep courses. You’ll get prompt feedback generated by AI on your responses and discover areas that may need refinement.
If you need a more in-depth refresher of the skills and knowledge you’ll need as a Data Analyst, check out our Data Scientist: Analytics Specialist career path. We’ll cover everything you need to know, help you build a portfolio, and even give you some more tips on interviewing. Or, if you’re starting fresh, check out our data science career guide. We’ll help you find the right path toward your future career in the field.
This article was originally published in June 2021 and has been updated to include details about our new AI interview prep features.
