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

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In this podcast, Jim Sterne shares how marketing has evolved through disruptive times. He shares some of the best practices in the marketing and digital analytics space. He sheds light on some opportunities in the marketing and analytics space and how machine learning is changing the face of digital and marketing. This is a great podcast for anyone looking to understand how AI is impacting marketing and what are some big opportunities in marketing and digital.

Timeline: 0:30 Jim's journey. 5:25 The evolution of marketing. 8:45 Breaking down the digital. 11:40 Marketing and analytics. 13:27 Misuse of analytics in marketing. 17:35 Resolving bad data and bias. 22:20 Good digital analyst vs. bad digital analyst. 28:06 Defining a well-oiled marketing machine. 30:33 Marketing industry's adoption of technology. 34:19 Technology adoption strategy. 38:23 Impact of machine learning and digital marketing. 42:19 Decision making, accountability, and AI. 47:08 Advice for start-ups. 48:52 Disruption opportunities in digital marketing. 55:57 Ethics and marketing. 58:52 What's next in digital marketing. 1:02:27 Jim's success mantra. 1:05:36 Jim's reading list. 1:07:30 Key takeaways.

Jim's Books: amzn.to/2KB1QCR

Jim's Current Read List: Shift: 19 Practical, Business-Driven Ideas for an Executive in Charge of Marketing but Not Trained for the Task by Sean Doyle amzn.to/2KG4K9d Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking by Foster Provost and Tom Fawcett amzn.to/2AWR3Dz

Podcast Link: https://futureofdata.org/future-of-data-in-marketing-digital-jimsterne/

Jim's BIO: Jim Sterne focused his thirty-five years in sales and marketing to create and strengthen customer relationships through digital communications. He sold business computers to companies that had never owned one in the 1980s, consulted and keynoted online marketing in the 1990s, and founded a conference and a professional association around digital analytics in the 2000s, following his humorous Devil's Data Dictionary. Sterne has just published his twelfth book Artificial Intelligence for Marketing: Practical Applications. Sterne produced the eMetrics Summit from 2002 - 2017 and now produces the Marketing Evolution Experience. He was co-founder and served for 17 years as the Board Chair of the Digital Analytics Association.

Jim was named one of the 50 most influential people in digital marketing by a top marketing magazine in the United Kingdom and identified as one of the top 25 Hot Speakers by the National Speakers Association.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to come on show and discuss their journey in creating the data driven future.

Wanna Join? If you or any you know wants to join in, Register your interest by mailing us @ [email protected]

Want to sponsor? Email us @ [email protected]

Keywords: FutureOfData,

DataAnalytics,

Leadership,

Futurist,

Podcast,

BigData,

Strategy

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You'll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company's data science projects. You'll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization–and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you're to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates