Tired of spending money on data courses you never finish? Here are 7 essential books that will actually boost your analytical skills, with no subscription required! Plus, make sure to tune in till the end as one lucky listener will get a free book from this list! Get the books here! DISCLAIMER: Some of the links in this video are affiliate links, meaning if you click through and make a purchase, I may earn a commission at no extra cost to you. Storytelling with Data by Cole Nussbaumer Knaflic 👉 https://amzn.to/3ZYHhsG Ace the Data Science Interview by Nick Singh and Kevin Huo 👉 https://amzn.to/3XZ9IaB Moneyball by Michael Lewis 👉 https://amzn.to/44fy4OD The StatQuest Illustrated Guide To Machine Learning by Josh Starmer 👉 https://amzn.to/40hRgu2 Fundamentals of Data Engineering by Joe Reis and Matt Housley 👉 https://amzn.to/3W84K8K Data Science for Business by Foster Provost and Tom Fawcett 👉 https://amzn.to/4k7jkaD The Big Book of Dashboards by Steve Wexler, Jeffrey Shaffer, and Andy Cotgreave 👉 https://amzn.to/462GJVj 💌 Join 10k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training 👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa 👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com/interviewsimulator ⌚ TIMESTAMPS 00:16 Book 1: The Big Book of Dashboards 02:52 Book 2: Data Science for Business 04:38 Book 3: Fundamentals of Data Engineering 06:05 Book 4: The StatQuest Illustrated Guide To Machine Learning 07:52 Book 5: Moneyball 10:09 Book 6: Ace the Data Science Interview 11:24 Book 7: Storytelling With Data I've interviewed some of these awesome data authors! Check out these episodes! Stats You Need to Know as a Data Analyst (w/ StatQuest) 👉 https://datacareerpodcast.com/episode/105-do-you-have-to-be-good-at-statistics-to-be-a-data-analyst-w-statquest-josh-starmer-phd How to Ace The Data Science & Analytics Interview w/ Nick Singh 👉 https://datacareerpodcast.com/episode/74-how-to-ace-the-data-science-analytics-interview-w-nick-singh Meet The Woman Who Changed Data Storytelling Forever (Cole Knaflic) 👉 https://datacareerpodcast.com/episode/142-meet-the-woman-who-changed-data-storytelling-forever-cole-knafflic

🔗 CONNECT WITH AVERY 🎥 YouTube Channel: https://www.youtube.com/@averysmith 🤝 LinkedIn: https://www.linkedin.com/in/averyjsmith/ 📸 Instagram: https://instagram.com/datacareerjumpstart 🎵 TikTok: https://www.tiktok.com/@verydata 💻 Website: https://www.datacareerjumpstart.com/ Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

Ready to land your dream analytics job? In this episode, we sit down with Nick Singh—author, career coach, and Founder of DataLemur—to share insider tips for crushing analyst interviews. Nick will guide us through mock interview questions to sharpen your skills and discuss his portfolio project using Spotify hip-hop data that grabbed recruiters' attention. If you're preparing for interviews, building projects, or looking for real-world inspiration to stand out as an analyst, this episode is for you. Whether you're gearing up for interviews, brainstorming your next portfolio project, or seeking practical advice to shine as an analyst, this episode will give you practical tips you can implement immediately. What You'll Learn: Proven tips and tricks to succeed in analyst interviews. How to answer common interview questions with confidence. Why portfolio projects matter and how Nick's Spotify hip-hop data project helped him stand out.   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   Interested in learning more from Nick? Check out his book, Ace the Data Science Interview, and DataLemur!   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

Join me with data interview expert Nick Singh to discuss how to ace your data science and analytics interviews, from preparation tips to tackling SQL technical questions, in this must-listen episode of the Data Career Podcast—you won't want to miss it!

Connect with Nick Singh:

🎁 Free SQL Tutorial from Data Lemur: https://datalemur.com/sql-tutorial

🤝 Connect on Linkedin

📕 Buy "Ace the Data Science Interview" book

🐵DataLemur

👔 Get a discount on my data interview prep course: https://www.datacareerjumpstart.com//interview

📩 Get my weekly email with helpful data career tips

📊 Come to my next free “How to Land Your First Data Job” training

🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(16:10) - 📊 Best interview tips

(36:30) - 🔄 Mock interview practice

Connect with Avery:

📺 Subscribe on YouTube

🎙Listen to My Podcast

👔 Connect with me on LinkedIn

📸 Instagram

🎵 TikTok

Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

Today marks the second episode in our DataFramed Careers Series. In this series, we will interview a diverse range of thought leaders and experts on the different aspects of landing a data role in 2022.

In the first episode of the series, Sadie discussed at great length the importance of having a solid data science portfolio to land a role in data. But what makes a great data science portfolio?

Nick Singh, co-author of Acing the Data Science Interview, joins the show to share everything you need to know to create high-quality, thorough portfolio projects.

Throughout the episode, we discuss

How portfolio projects build experience Who should be focusing on portfolio projects The different types of portfolio projects Biggest pitfalls when creating portfolio projects How to get noticed with your portfolio projects Concrete examples of great portfolio projects 

[Announcement] Join us for DataCamp Radar, our digital summit on June 23rd. During this summit, a variety of experts from different backgrounds will be discussing everything related to the future of careers in data. Whether you're recruiting for data roles or looking to build a career in data, there’s definitely something for you. Seats are limited, and registration is free, so secure your spot today on https://events.datacamp.com/radar/

Introducing the DataFramed Careers Series. Over the past year hosting the DataFramed podcast, we've had the incredible privilege of having biweekly conversations with data leaders at the forefront of the data revolution. This has led to fascinating conversations on the future of the modern data stack, the future of data skills, and how to build organizational data literacy. 

However, as the DataFramed podcast grows, we want to be able to provide the data science community across the spectrum from practitioners to leaders, with distilled insights that will help them manoeuvre their careers effectively. And we want to do that more often. 

This is why we’re excited to announce the launch of a four-day DataFramed Careers Series. Throughout next week, we will interview four different thought leaders and experts about what it takes to break into data science in 2022, best practices to stand out from the crowd, building a brand in data science, and more. Moreover, this episode series will mark DataFramed’s transition from biweekly to weekly.

Starting Monday the 30th of May, DataFramed will become a weekly podcast.

For next week’s DataFramed Careers Series, we’ll be covering the ins and outs of building a career in data, and the different aspects of standing out from the crowd during the job hunt. We’ll be hearing from Sadie St Lawrence, CEO and Founder of Women in Data on what it takes to launch a data career in 2022. Nick Singh, Co-author of Ace the Data Science Interview and 2nd time guest of DataFramed will join us to discuss what makes a great data science portfolio project. Khuyen Tran, Developer Advocate at Prefect on will outline how writing can accelerate a data career, and Jay Feng, CEO of Interview Query will join us to provide tips and frameworks on acing the data science interview.

For future DataFramed episodes, we’ll definitely still cover the different aspects of building a data-driven organization, cover the latest advancements in data science, building data careers, and more. So expect more varied guests, topics, and more specials series like this one in the future.

As we enter the new year—it seems like we’re telescoping into the future of work. Companies embracing remote work, the great resignation putting pressure on teams to create more fulfilling roles—signals an expanding opportunity for applicants to find their dream roles in data science, but also for hiring managers to create awesome candidate experiences. 

Today’s guests, Nick Singh, and Kevin Huo, authors of Ace The Data Science Interview, discuss how aspiring data scientists and data scientists can stand out from their crowd—and what hiring managers need to change to win over talent today. 

Join us as we discuss:

How to wow recruiters and hiring managers with your resumeThe type of skills aspiring data scientists need to show on the job huntThe value of direct email over job listingsWhat recruiters and hiring managers need to change in an evolving job market

Relevant links from the interview:

Ace the Data Science InterviewFollow Nick Singh on LinkedInFollow Kevin Huo on LinkedInNoah Gift’s Appearance on DataFramedSign up to gain early access to gain DataCamp Talent—DataCamp’s portal for data science jobs

We talked about:

Nick’s background Being a career coach Overview of the hiring process Behavioral interviews for data scientists Preparing for behavioral interviews Handling "tricky" questions Project deep dive Business context Pacing, rambling, and honesty “What’s your favorite model?” What if I haven’t worked on a project that brought $1 mln? Different questions for different levels Product-sense interviews Identifying key metrics in unfamiliar domains Tech blogs Cold emailing

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