Wondering if the Google Data Analytics Certificate can actually land you a job?

Join Avery as he reveals how his Reddit friend Goob Goob got an $80K remote data analyst position just 52 days after completing the cert.

Avery breaks down Goob Goob's journey, key resume tips, the importance of networking, and how your previous experience can be your secret weapon in the job hunt.

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

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🧙‍♂️ Ace the Interview with Confidence⁠

Timestamps:

(00:41) Landing a Data Job (02:50) Winning Resume (05:42) Recruiter Magic

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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

20 minutes of straight genius data advice. Learn form the top data analysts on what hiring managers are looking for, how to ace the interview, the future of Data & AI, and networking effortlessly.

Listen to the episodes:

Alex the Analyst

Luke Barousse

Avery Smith

Ken Jee

Josh Starmer (StatQuest)

Matt Mike

Andy Kriebel

Matt Brattin

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🧙‍♂️ Ace the Interview with Confidence

Timestamps:

(0:00) Intro

(0:05) Alex the Analyst

(4:25) Luke Barousse

(6:08) Avery Smith

(7:47) Ken Jee

(9:50) Josh Starmer (StatQuest)

(14:26) Matt Mike

(16:19) Andy Kriebel

(17:33) Matt Brattin

Connect with Avery:

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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

Discover how to harness the full potential of Microsoft Power BI in "Microsoft Power BI Cookbook". Through its recipe-based structure, this book offers step-by-step guidance on mastering data integration, crafting impactful visualizations, and utilizing Power BI's latest features like Hybrid tables and enhanced scorecards. This edition equips you with the skills to transform raw data into actionable insights for your organization. What this Book will help me do Turn business data into actionable insights by utilizing Microsoft Data Fabric effectively. Create engaging and clear visualizations through Hybrid tables and advanced reporting techniques. Gain competence in managing real-time data accuracy and implementing dynamic analytics in Power BI. Ensure robust data compliance and governance integrated seamlessly into business reporting workflows. Leverage cutting-edge Power BI features to prepare for emerging trends in data intelligence. Author(s) Greg Deckler and None Powell, both esteemed professionals in the Power BI and data analytics domain, co-author this comprehensive guide. With decades of experience, they bring vast knowledge and practical skills to this work, presenting it in a structured and approachable manner. Both are dedicated to empowering learners of all levels to excel with Power BI. Who is it for? This book is ideal for professionals like data analysts, business intelligence developers, and IT specialists focused on reporting. It suits readers with a basic familiarity with Power BI, looking to deepen their understanding. If you aim to stay current with Power BI's most modern practices and features, this book will help you achieve that. Additionally, it supports those aiming to enhance business decision-making through better visualizations and advanced analysis.

Although Python is talked about a lot in the data world, if you are aiming for your first data analyst role, I don’t think you should learn it.

It takes too much time, it’s hard to learn, and it’s hard to use.

In this episode, I’ll dive into more of the specifics and what to focus on instead.

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🧙‍♂️ Ace the Interview with Confidence

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▶️ Want to be a Data Analyst? Learn These Skills w/ Luke Barousse

Timestamps:

(01:00) Why You Shouldn't Learn Python (04:11) Is Python in Demand? (06:03) What To Know in Python

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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

This is an incredible episode where Avery took on listener questions and questions from you guys.

It’s kind of ragtag. Multiple questions here concern how to start your data career and what you should do in that process.

So, if you’re on that journey, this episode is for you.

⁠📩 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:

(01:30) Where do I start?

(02:15) Networking 101

(03:25) From truck driver to data analyst

(04:30) Finally given up data analyst career

Connect with Avery:

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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

Data analytics is a balance of flexibility for innovation and governance to control risks. This blog discusses its implications for artificial intelligence (AI), including machine learning (ML) and generative AI (GenAI). Published at: https://www.eckerson.com/articles/ai-ml-innovation-requires-a-flexible-yet-governed-data-architecture

Avery interviews Sai, a lead data analyst at Blue Cross Blue Shield of South Carolina.

Sai shares his journey from a small town in India to a successful career in data analytics in the U.S. He discusses his educational background, challenges, strategies to land a job, and success on LinkedIn and TopMate as a career coach.

Connect with Venkata Sai

🤝 Follow on Linkedin

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🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(04:00) Challenges and Competitions (12:55) Navigating Job Search and Visa Issues (20:46) Advice for Aspiring Data Professionals

Connect with Avery:

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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

Struggling to secure a data analyst job? You're not alone!

These advices in this episode help you stand out and land your dream data job even with no prior experience. Tune in for insider tips and real success stories!

🧙‍♂️ Ace the Interview with Confidence

⁠

⁠📩 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:

(02:30) The Scarcity of Remote Analyst Opportunities (05:32) The Frustration of Ghost Postings (08:29) Conclusion: Navigating the Tough Job Market

Connect with Avery:

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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

The Data Product Management In Action podcast, brought to you by Soda and executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. In Season 01, Episode 06, host Frannie Helforoush (Senior Digital Product Manager at RBC Global Asset Management) and guest Nathan Worrell (Senior Product Manager, Data Analytics at Cortland) explore areas that are crucial to successfully realizing data product management and delivering value. With Nathan's experience and passion, he shares his thoughts on applying product thinking to data products and emphasizes the often-forgotten core soft skills necessary to augment success. They leave no stone unturned as they dive into the detail of product thinking. Nathan provides practical, concrete examples that are easy for anyone to take away and implement, including the strategic use of Generative AI.  About our host Frannie Helforoush: Frannie's journey began as a software engineer and evolved into a strategic product manager. Now, as a data product manager, she leverages her expertise in both fields to create impactful solutions. Frannie thrives on making data accessible and actionable, driving product innovation, and ensuring product thinking is integral to data management. Connect with Frannie on LinkedIn. About our guest Nathan Worrell: Nathan is a dynamic product manager with a passion for AI, data, and process optimization. He has a proven track record of success across multiple industries, leading complex initiatives and building products from the ground up. Nathan thrives on working with diverse teams with the goal of driving businesses to become more data-driven. Connect with Nathan on LinkedIn. All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else. Join the conversation on LinkedIn. Apply to be a guest or nominate someone that you know.

A data career is an amazing path. Once you're inside, you have good job prospects, fun and challenging work, constant opportunities to learn, solid comp, and can often work from anywhere.    But it can be hard to break in. Today, in 2024, there seems to be more competition than ever for entry level roles. So how can you get started?    In this episode, we'll be sharing some of the best strategies, actionable advice, and personal anecdotes from two recent career transitioners, Annie Nelson and Ian Klosowicz, who have each inspired and helped countless others.   You'll leave with a concrete path to landing your first role, and succeeding on the job once you're there. What You'll Learn: The skills you should be focusing on and showcasing Practical advice for networking, finding jobs, applying, and nailing the interview Tips for using your first 90 days in role to set up your career trajectory   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guests: Annie Nelson (Annie's Analytics) is a leading data analytics and business intelligence expert. She excels in transforming raw data into actionable insights, making complex data concepts accessible. Annie shares her expertise through speaking engagements, online content, and consulting, helping organizations leverage data to achieve their goals. Check out Annie's book: How to Become a Data Analyst Follow Annie on LinkedIn  

Ian Klosowicz is a seasoned data analyst dedicated to shaping the next generation of data analysts, with a proven track record of teaching people a roadmap that works for them. He specializes in guiding aspiring data analysts on their journey to securing their first roles in the dynamic world of data analytics. Subscribe to Ian's newsletter Follow Ian on LinkedIn   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

Avery chats with Trevor Maxwell, who transformed his career from an industrial printer technician and construction worker to a remote technical business analyst.

Learn how Trevor leveraged the Data Career Podcast and a data bootcamp to break into the data industry despite having no prior tech experience or degree.

Connect with Trevor Maxwell:

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Timestamps:

(06:55) The Importance of Networking and Consistency (11:23) The Value of Hands-On Projects and Writing (19:32) The Power of Small Steps (25:06) Interview Preparation and Techniques

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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

The 'Tableau Certified Data Analyst Certification Guide' is your essential roadmap to mastering Tableau and excelling in the Tableau Data Analyst certification exam. From fundamentals to advanced techniques, you'll solidify your Tableau skills with clear explanations, practical exercises, and realistic mock exams. After reading, you'll be ready to take the next step in your data analytics career. What this Book will help me do Gain the ability to connect, clean, and transform data effectively using Tableau. Master Tableau's diverse calculation types for data analysis, ranging from basic to advanced. Develop skills to create visually impactful dashboards and data stories. Learn to publish and manage insights on Tableau Cloud for broader collaboration. Acquire the necessary competencies to confidently pass the Tableau Data Analyst certification exam. Author(s) Authors Harry Cooney and Daisy Jones bring a wealth of Tableau and data analytics experience. Harry is a certified Tableau expert with years of teaching and consulting, while Daisy applies her data analysis expertise across industries. Together, they combine practical insights and a supportive approach to guide you through Tableau mastery and certification. Who is it for? This book is ideal for aspiring and practicing data analysts eager to master Tableau. Beginners will appreciate the accessible approach to foundational concepts, while experienced users can deepen their expertise. If you're preparing for the Tableau Certified Data Analyst exam or looking to enhance your visual analytics capabilities, this book is for you.

Unlock the full potential of DuckDB with 'Getting Started with DuckDB,' your guide to mastering data analysis efficiently. By reading this book, you'll discover how to load, transform, and query data using DuckDB, leveraging its unique capabilities for processing large datasets. Gain hands-on experience with SQL, Python, and R to enhance your data science and engineering workflows. What this Book will help me do Effectively load and manage various types of data in DuckDB for seamless processing. Gain hands-on experience writing and optimizing SQL queries tailored for analytical tasks. Integrate DuckDB capabilities into Python and R workflows for streamlined data analysis. Understand DuckDB's optimizations and extensions for specialized data applications. Explore the broader ecosystem of data tools that complement DuckDB's capabilities. Author(s) Simon Aubury and Ned Letcher are seasoned experts in the field of data analytics and engineering. With extensive experience in using both SQL and programming languages like Python and R, they bring practical insights into the innovative uses of DuckDB. They have designed this book to provide a hands-on and approachable way to learn DuckDB, making complex concepts accessible. Who is it for? This book is well-suited for data analysts aiming to accelerate their data analysis workflows, data engineers looking for effective tools for data processing, and data scientists searching for a versatile library for scalable data manipulation. Prior exposure to SQL and programming in Python or R will be beneficial for readers to maximize their learning.

Avery and Monica discuss Monica's fascinating career pivot from IT and information systems to data analytics.

Learn how to use data in your current job, the importance of having a supportive manager, and the potential for internal career transitions.

Connect with Monica Kay Royal :

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Timestamps:

08:29 Transitioning to Data Analytics 14:05 The Importance of Managerial Support 18:32 Using Data in Various Professions

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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

Spatial computing is revolutionizing the way we interact with digital and physical worlds, but its adoption comes with questions about practicality and return on investment. As businesses explore this cutting-edge technology, they must consider how it can enhance productivity and streamline operations. What are the best strategies to integrate spatial computing into your current systems? How can you ensure that it not only boosts efficiency but also delivers measurable benefits to your bottom line?  Cathy Hackl is a web3 and metaverse strategist, tech futurist, speaker and author. She's worked with metaverse-related companies such as HTC VIVE, Magic Leap, and AWS, and currently consults with some of the world's leading brands, including P&G, Clinique, Ralph Lauren, Orlando Economic Partnership and more. Hackl is one of the world's first Chief Metaverse Officers and the co-founder of Journey, where she works with luxury, fashion, and beauty brands to create successful metaverse and web3 strategies and helps them build worlds in platforms like Roblox, Fortnite, Decentraland, The Sandbox, and beyond. She is widely regarded as one of the leading thinkers on the Metaverse. Irena Cronin is SVP of Product for DADOS Technology, which is making an Apple Vision Pro data analytics and visualization app. She is also the CEO of Infinite Retina, which helps companies develop and implement AI, AR, and other new technologies for their businesses. Before this, she worked as an equity research analyst and gained extensive experience in evaluating both public and private companies. In the episode, Richie, Cathy and Irina explore spatial computing, the current viability of spacial computing and it's prominence alongside the release of Apple's Vision Pro, expected effects of spatial computing on gaming and entertainment, industrial applications as well as data visualization and AI integration opportunities of spatial computing, how businesses can leverage spatial computing, future developments in the space and much more.  Links Mentioned in the Show: Cathy’s BookIrena’s BooksApple Vision ProMarvel Studios and ILM Immersive Announce 'What If...? - An Immersive Story'[Course] Artificial Intelligence (AI) StrategyRelated Episode: Why the Future of AI in Data will be Weird with Benn Stancil, CTO at Mode & Field CTO at ThoughtSpotSign up to RADAR: AI Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

Avery talks with guest Shailvi Wakhlu, a seasoned data professional who navigated her way from individual contributor to head of analytics and senior director roles.

In this episode, Shailvi shares practical tips on self-advocacy, negotiating salaries, and effectively showcasing your skills.

🤝 Connect with Shailvi Wakhlu on LinkedIn

📙 Get Self-Advocacy Book

🤝 Ace your data analyst interview with the interview simulator

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

🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(03:34) Why Self-Advocacy is Essential

(10:17) Navigating Workplace Challenges

(28:51) Encouragement for Aspiring Data Professionals

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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

Rui Falhas Santos - is the Manager of Data Analytics at one of the largest banks in the world. He joined us to discuss the AI applications they have implemented. The creativity and the use case are very captivating, as it is applied in one of the most regulated and legacy-bound industries. Rui is a hands-on manager with an extensive background in data. His data team helped build a solution that reads, on average, 300k articles a month to catch any alarming signals about their clients. Additionally, we discussed responsible AI from the decision-making side of model output and how data is collected for model processing.

Dive into the fascinating world of graph theory and its applications with 'Modern Graph Theory Algorithms with Python.' Through Python programming and real-world case studies, this book equips you with the tools to transform data into graph structures, apply algorithms, and uncover insights, enabling effective solutions in diverse domains such as finance, epidemiology, and social networks. What this Book will help me do Understand how to wrangle a variety of data types into network formats suitable for analysis. Learn to use graph theory algorithms and toolkits such as NetworkX and igraph in Python. Apply network theory to predict and analyze trends, from epidemics to stock market dynamics. Explore the intersection of machine learning and graph theory through advanced neural network techniques. Gain expertise in database solutions with graph database querying and applications. Author(s) Colleen M. Farrelly, an experienced data scientist, and Franck Kalala Mutombo, a seasoned software engineer, bring years of expertise in network science and Python programming to every page of this book. Their professional experience includes working on cutting-edge problems in data analytics, graph theory, and scalable solutions for real-world issues. Combining their practical know-how, they deliver a resource aimed at both learning and applying techniques effectively. Who is it for? This book is tailored for data scientists, researchers, and analysts with an interest in using graph-based approaches for solving complex data problems. Ideal for those with a basic Python knowledge and familiarity with libraries like pandas and NumPy, the content bridges the gap between theory and application. It also provides insights into broad fields where network science can be impactful, contributing value to both students and professionals.

Cognitive Science, Computational Intelligence, and Data Analytics: Methods and Applications with Python introduces readers to the foundational concepts of data analysis, cognitive science, and computational intelligence, including AI and Machine Learning. The book's focus is on fundamental ideas, procedures, and computational intelligence tools that can be applied to a wide range of data analysis approaches, with applications that include mathematical programming, evolutionary simulation, machine learning, and logic-based models. It offers readers the fundamental and practical aspects of cognitive science and data analysis, exploring data analytics in terms of description, evolution, and applicability in real-life problems. The authors cover the history and evolution of cognitive analytics, methodological concerns in philosophy, syntax and semantics, understanding of generative linguistics, theory of memory and processing theory, structured and unstructured data, qualitative and quantitative data, measurement of variables, nominal, ordinals, intervals, and ratio scale data. The content in this book is tailored to the reader's needs in terms of both type and fundamentals, including coverage of multivariate analysis, CRISP methodology and SEMMA methodology. Each chapter provides practical, hands-on learning with real-world applications, including case studies and Python programs related to the key concepts being presented. Demystifies the theory of data analytics using a step-by-step approach Covers the intersection of cognitive science, computational intelligence, and data analytics by providing examples and case studies with applied algorithms, mathematics, and Python programming code Introduces foundational data analytics techniques such as CRISP-DM, SEMMA, and Object Detection Models in the context of computational intelligence methods and tools Covers key concepts of multivariate and cognitive data analytics such as factor analytics, principal component analytics, linear regression analysis, logistic regression analysis, and value chain applications