Here are 5 exciting and unique data analyst projects that will build your skills and impress hiring managers! These range from beginner to advanced and are designed to enhance your data storytelling abilities. ✨ Try Julius today at https://landadatajob.com/Julius-YT Where I Go To Find Datasets (as a data analyst) 👉 https://youtu.be/DHfuvMyBofE?si=ABsdUfzgG7Nsbl89 💌 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 00:00 - Introduction 00:24 - Project 1: Stock Price Analysis 03:46 - Project 2: Real Estate Data Analysis (SQL) 07:52 - Project 3: Personal Finance Dashboard (Tableau or Power BI) 11:20 - Project 4: Pokemon Analysis (Python) 14:16 - Project 5: Football Data Analysis (any tool)

🔗 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

Feeling behind on your data journey? Don't worry. Today, I'll list down the 13 signs that prove you're actually ahead (even if you're actually doing just some of these). ✨ Try Julius today at https://landadatajob.com/Julius-YT 💌 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 00:00 Introduction 00:05 #1 You can analyze data in Excel without panicking 00:52 #2 You know how to write basic SQL queries 01:17 #3 You can build a bar chart and scatter plot in Tableau or Power BI 01:59 #4 You can Google (or ChatGPT) your way through any error 02:45 #5 You can send me one portfolio project right now 03:45 #6 You talk about your data journey with friends and family regularly 05:50 #7 You’re actually applying to jobs (not just watching tutorials) 07:03 #8 You’ve joined a data community 07:48 #9 Your resume now includes (lots of) the right keywords 10:11 #10 You’ve optimized your LinkedIn for data roles 10:45 #11 A recruiter reaches out to you on LinkedIn 11:58 #12 You’ve had at least one real interview 12:52 #13 You’re comfortable not knowing everything (yet) 🔗 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

The relationship between AI and data professionals is evolving rapidly, creating both opportunities and challenges. As companies embrace AI-first strategies and experiment with AI agents, the skills needed to thrive in data roles are fundamentally changing. Is coding knowledge still essential when AI can generate code for you? How important is domain expertise when automated tools can handle technical tasks? With data engineering and analytics engineering gaining prominence, the focus is shifting toward ensuring data quality and building reliable pipelines. But where does the human fit in this increasingly automated landscape, and how can you position yourself to thrive amid these transformations? Megan Bowers is Senior Content Manager, Digital Customer Success at Alteryx, where she develops resources for the Maveryx Community. She writes technical blogs and hosts the Alter Everything podcast, spotlighting best practices from data professionals across the industry. Before joining Alteryx, Megan worked as a data analyst at Stanley Black & Decker, where she led ETL and dashboarding projects and trained teams on Alteryx and Power BI. Her transition into data began after earning a degree in Industrial Engineering and completing a data science bootcamp. Today, she focuses on creating accessible, high-impact content that helps data practitioners grow. Her favorite topics include switching career paths after college, building a professional brand on LinkedIn, writing technical blogs people actually want to read, and best practices in Alteryx, data visualization, and data storytelling. Presented by Alteryx, Alter Everything serves as a podcast dedicated to the culture of data science and analytics, showcasing insights from industry specialists. Covering a range of subjects from the use of machine learning to various analytics career trajectories, and all that lies between, Alter Everything stands as a celebration of the critical role of data literacy in a data-driven world. In the episode, Richie and Megan explore the impact of AI on job functions, the rise of AI agents in business, and the importance of domain knowledge and process analytics in data roles. They also discuss strategies for staying updated in the fast-paced world of AI and data science, and much more. Links Mentioned in the Show: Alter EverythingConnect with MeganSkill Track: Alteryx FundamentalsRelated Episode: Scaling Enterprise Analytics with Libby Duane Adams, Chief Advocacy Officer and Co-Founder of AlteryxRewatch RADAR AI  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

Business intelligence has been transforming organizations for decades, yet many companies still struggle with widespread adoption. With less than 40% of employees in most organizations having access to BI tools, there's a significant 'information underclass' making decisions without data-driven insights. How can businesses bridge this gap and achieve true information democracy? While new technologies like generative AI and semantic layers offer promising solutions, the fundamentals of data quality and governance remain critical. What balance should organizations strike between investing in innovative tools and strengthening their data infrastructure? How can you ensure your business becomes a 'data athlete' capable of making hyper-decisive moves in an uncertain economic landscape? Howard Dresner is founder and Chief Research Officer at Dresner Advisory Services and a leading voice in Business Intelligence (BI), credited with coining the term “Business Intelligence” in 1989. He spent 13 years at Gartner as lead BI analyst, shaping its research agenda and earning recognition as Analyst of the Year, Distinguished Analyst, and Gartner Fellow. He also led Gartner’s BI conferences in Europe and North America. Before founding Dresner Advisory in 2007, Howard was Chief Strategy Officer at Hyperion Solutions, where he drove strategy and thought leadership, helping position Hyperion as a leader in performance management prior to its acquisition by Oracle.  Howard has written two books, The Performance Management Revolution – Business Results through Insight and Action, and Profiles in Performance – Business Intelligence Journeys and the Roadmap for Change - both published by John Wiley & Sons. In the episode, Richie and Howard explore the surprising low penetration of business intelligence in organizations, the importance of data governance and infrastructure, the evolving role of AI in BI, and the strategic initiatives driving BI usage, and much more. Links Mentioned in the Show: Dresner Advisory ServicesHoward’s Book - Profiles in Performance: Business Intelligence Journeys and the Roadmap for ChangeConnect with HowardSkill Track: Power BI FundamentalsRelated Episode: The Next Generation of Business Intelligence with Colin Zima, CEO at OmniRewatch RADAR AI  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

Discover best practices to scale Power BI effectively—improving performance, governance, and self-service across enterprise environments. Published at: https://datalere.com/articles/power-bi-best-practices-from-the-field-lessons-from-enterprise-deployments

Power BI is one of the hottest data analysis tools in today's job market. In this episode, Aaron Parry will talk about why Power BI is in such high demand, the things companies are hiring Power BI experts for, and where you should focus if you want to add Power BI to your bag of tricks.  You'll leave the show with a deeper understanding of why Power BI is so valuable, what it can do, and where you should focus if you want to build Power BI skills that will advance your career. What You'll Learn: What makes Power BI such a valuable skill set for so many roles Some of the most valuable ways you can use Power BI on the job Where you should focus if you want to build job-ready Power BI skills   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guests: Aaron is a professional analytics consultant and Microsoft Power BI expert, with 10+ years working in business intelligence and marketing analytics. He's an instructor, coach and mentor for aspiring analysts, and has deep experience helping companies develop and implement full-stack BI solutions. Follow Aaron on LinkedIn

Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

Every organization today is exploring generative AI to drive value and push their business forward. But a common pitfall is that AI strategies often don’t align with business objectives, leading companies to chase flashy tools rather than focusing on what truly matters. How can you avoid these traps and ensure your AI efforts are not only innovative but also aligned with real business value?  Leon Gordon, is a leader in data analytics and AI. A current Microsoft Data Platform MVP based in the UK, founder of Onyx Data. During the last decade, he has helped organizations improve their business performance, use data more intelligently, and understand the implications of new technologies such as artificial intelligence and big data. Leon is an Executive Contributor to Brainz Magazine, a Thought Leader in Data Science for the Global AI Hub, chair for the Microsoft Power BI – UK community group and the DataDNA data visualization community as well as an international speaker and advisor. In the episode, Adel and Leon explore aligning AI with business strategy, building AI use-cases, enterprise AI-agents, AI and data governance, data-driven decision making, key skills for cross-functional teams, AI for automation and augmentation, privacy and AI and much more.  Links Mentioned in the Show: Onyx DataConnect with LeonLeon’s Linkedin Course - How to Build and Execute a Successful Data StrategySkill Track: AI Business FundamentalsRelated Episode: Generative AI in the Enterprise with Steve Holden, Senior Vice President and Head of Single-Family Analytics at Fannie MaeRewatch sessions from 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

Summary

Data lakehouse architectures have been gaining significant adoption. To accelerate adoption in the enterprise Microsoft has created the Fabric platform, based on their OneLake architecture. In this episode Dipti Borkar shares her experiences working on the product team at Fabric and explains the various use cases for the Fabric service.

Announcements

Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst is an end-to-end data lakehouse platform built on Trino, the query engine Apache Iceberg was designed for, with complete support for all table formats including Apache Iceberg, Hive, and Delta Lake. Trusted by teams of all sizes, including Comcast and Doordash. Want to see Starburst in action? Go to dataengineeringpodcast.com/starburst and get $500 in credits to try Starburst Galaxy today, the easiest and fastest way to get started using Trino. Your host is Tobias Macey and today I'm interviewing Dipti Borkar about her work on Microsoft Fabric and performing analytics on data withou

Interview

Introduction How did you get involved in the area of data management? Can you describe what Microsoft Fabric is and the story behind it? Data lakes in various forms have been gaining significant popularity as a unified interface to an organization's analytics. What are the motivating factors that you see for that trend? Microsoft has been investing heavily in open source in recent years, and the Fabric platform relies on several open components. What are the benefits of layering on top of existing technologies rather than building a fully custom solution?

What are the elements of Fabric that were engineered specifically for the service? What are the most interesting/complicated integration challenges?

How has your prior experience with Ahana and Presto informed your current work at Microsoft? AI plays a substantial role in the product. What are the benefits of embedding Copilot into the data engine?

What are the challenges in terms of safety and reliability?

What are the most interesting, innovative, or unexpected ways that you have seen the Fabric platform used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on data lakes generally, and Fabric specifically? When is Fabric the wrong choice? What do you have planned for the future of data lake analytics?

Contact Info

LinkedIn

Parting Question

From your perspective, what is the biggest gap in the tooling or technology for data management today?

Closing Announcements

Thank you for listening! Don't forget to check out our other shows. Podcast.init covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast helps you go from idea to production with machine learning. Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email [email protected] with your story.

Links

Microsoft Fabric Ahana episode DB2 Distributed Spark Presto Azure Data MAD Landscape

Podcast Episode ML Podcast Episode

Tableau dbt Medallion Architecture Microsoft Onelake ORC Parquet Avro Delta Lake Iceberg

Podcast Episode

Hudi

Podcast Episode

Hadoop PowerBI

Podcast Episode

Velox Gluten Apache XTable GraphQL Formula 1 McLaren

The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA Sponsored By: Starburst:

This episode is brought to you by Starburst - an end-to-end data lakehouse platform for data engineers who are battling to build and scale high quality data pipelines on the data lake. Powered by T

To build a successful career in data, you need to focus on the right skills. You need to focus on skills that will open doors, make you job-ready, help you attract employers, and put you on the right track toward growing your career. But where should you start? In this episode, Matt Mike will give his thoughts on the most important skills you'll need in your career, and will give you a roadmap for adding them to your tool kit and putting them on display to attract the right kind of attention. You'll leave this session with a solid understanding of which skills you should focus on first, how to tackle them, and with a plan to take action and make progress today. What You'll Learn: Which technical tools you should focus on to build a great data career Why soft skills can be just as important and which ones matter the most How you can build these skills, and put them on display to accelerate your career   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guest: Matt Mike is a multi-passionate Data Analyst and BI Developer who fancies Power BI.

He has been a data analyst for 2 years now and also transitioned into the data field from a non-technical background. This has given him a unique understanding of what it takes to be an analyst from the ground up. Check out Matt's YouTube channel for more! : https://www.youtube.com/@MattMike     Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

Send us a text Welcome to the cozy corner of the tech world where ones and zeros mingle with casual chit-chat. Datatopics Unplugged is your go-to spot for relaxed discussions around tech, news, data, and society. Dive into conversations that should flow as smoothly as your morning coffee (but don't), where industry insights meet laid-back banter. Whether you're a data aficionado or just someone curious about the digital age, pull up a chair, relax, and let's get into the heart of data, unplugged style! In this episode #42, titled "Unraveling the Fabric of Data: Microsoft's Ecosystem and Beyond," we're joined once again by the tech maestro and newly minted Microsoft MVP, Sam Debruyn. Sam brings to the table a bevy of updates from his recent accolades to the intricacies of Microsoft's data platforms and the world of SQL.

Biz Buzz: From Reddit's IPO to the performance versus utility debate in database selection, we dissect the big moves shaking up the business side of tech. Read about Reddit's IPO.Microsoft's Fabric Unraveled: Get the lowdown on Microsoft's Fabric, the one-stop AI platform, as Sam Debruyn gives us a deep dive into its capabilities and integration with Azure Databricks and Power BI. Discover more about Fabric and dive into Sam's blog.dbt Developments: Sam talks dbt and the exciting new SQL tool for data pipeline building with upcoming unit testing capabilities.Polaris Project: Delving into Microsoft's internal storage projects, including insights on Polaris and its integration with Synapse SQL. Read the paper here.AI Advances: From the release of Grok-1 and Apple's MM1 AI model to GPT-4's trillion parameters, we discuss the leaps in artificial intelligence.Stability in Motion: After OpenAI's Sora, we look at Stability AI's new venture into motion with Stable Video. Check out Stable Video.Benchmarking Debate: A critical look at performance benchmarks in database selection and the ongoing search for the 'best' database. Contemplate benchmarking perspectives.Versioning Philosophy: Hot takes on semantic versioning and what stability really means in software development. Dive into Semantic Versioning.

In this episode of the Data Career Podcast, we include a variety of listener questions, shedding light on topics like the future of data engineering, requirements for becoming a data analyst, showcasing data cleaning proficiency in Excel, and securing data analyst internships.

Also discusses the significance of storytelling and views on Power BI versus Tableau & the impact of AI on data analysis roles.

Tune in now!

👍 Leave your review and download the bonus!

🤝 Ace your data analyst interview with the interview simulator

📩 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:

(02:10) - What’s the future of data engineering in 2024? (03:06) - Do you need a degree to become a data analyst? (04:57) - How to showcase Excel skills? (07:22) - How to land data analyst internships? (10:10) - What are the main technical skills required to land your first data job? (14:40) - Have you worked with many teachers looking to make a career transition? (16:24) - How to get a data analyst job for people with no work experience? (25:13) - Can you suggest SQL and Excel videos for data analysis? (28:46) - Do you think the data analysis industry is saturated? (28:21) - Do you find data analysts transferring to becoming a data scientist or a data engineer?

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

Join Avery Smith and Jordan Temple in this episode of the Data Career Podcast.

Jordan shares his insights on breaking into the data industry with a non-technical background, leveraging skills in Power BI and the power of a solid online presence.

Tune in now to gain inspiration and guidance for your data career journey.

Connect with Jordan Temple:

🤝 Connect on Linkedin

🤝 Ace your data analyst interview with the interview simulator

📩 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: (07:02) - Excel + Power BI

(12:20) - Landing a job with a DM

(15:10) - Hybrid > Remote

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

Join Avery for a captivating episode with Data Consulting expert Leon Gordon, to delve into the world of data consulting and the skills needed to excel in this field.

Don't miss out on this fascinating conversation filled with valuable insights and advice for data professionals looking to make a difference as consultants.

Tune in now to better understand the data consulting industry and how you can navigate your way to a successful career!

Connect with Leon Gordon:

🤝 Connect on Linkedin

🎒 Learn About Onyx Data

🤝 Ace your data analyst interview with the interview simulator⁠

📩 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:

(5:56) - Data Consulting

(9:45) - Power BI

(25:00) - Data Projects

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

What skills should you learn when studying to be a Data Analyst?

Join me with data legend Luke Barousse to discuss where you should focus your time.

Is it Python? Is it SQL? Is it Excel? Is it Power BI?

Listen to find out 👀

Connect with Luke Barousse:

🤝 Connect on Linkedin

▶️ Subscribe on Youtube

📊 Datanerd.tech

📩 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:

(03:42) - Analyzing 1.2M data jobs (DataNerd.tech)

(06:21) - The most important data skills

(12:13) - More senior skills

(22:52) - Data job titles

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

Em um papo empolgante, mergulhamos no universo dos profissionais de dados e suas habilidades essenciais, com um foco especial no poderoso Power BI e demais ferramentas. Descubra, como as ferramentas de analytics, como o Power BI, estão moldando o futuro do campo de dados e análises.

Nste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conheçam as apaixonadas pela área de dados e principais referências no assunto: a Karine Lago — especialista em Business Intelligence, Power BI e Excel, premiada pela Microsoft mais de sete vezes e Escritora; e a Letícia Smirelli — Chief Product Officer (CPO), Power BI Specialist, Microsoft Data Analyst Associate e DataViz & Dashboard Design; ambas sócias na Nexos Educação.

Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Caso queira, você também pode ouvir o episódio aqui no post mesmo!

Link Medium: https://medium.com/data-hackers/power-bi-dashboards-e-a-carreira-de-analista-de-dados-data-hackers-podcast-72-829986f5f2a1

Falamos no episódio

Conheça nosso convidado:

Karine Lago — especialista em Business Intelligence, Escritora, Power BI e Excel, premiada pela Microsoft mais de sete vezes;  Letícia Smirelli — Chief Product Officer (CPO), Power BI Specialist, Microsoft Data Analyst Associate e DataViz & Dashboard Design.

Bancada Data Hackers:

Paulo Vasconcellos Gabriel Lages Monique Femme

Links de referências:

Tech and Cheers — Meetup ed. Data Connect (São Paulo): https://www.sympla.com.br/evento/tech-and-cheers-meetup-ed-data-connect/2110360 https://towardsdatascience.com/whats-the-difference-between-analytics-and-statistics-cd35d457e17

Tech and Cheers — ed. Mulher.ADA (Blumenau):https://www.sympla.com.br/evento/tech-and-cheers-meetup-ed-mulher-ada/2109236

World Economic Forum (The Future of Jobs Report 2023):https://www.weforum.org/reports/the-future-of-jobs-report-2023/ Canal Karine Lago (Youtube):https://www.youtube.com/@KarineLago Pagina Karine Lago: https://keepo.io/karinedolago/?fbclid=PAAaZ32JXyRtPv7wcHcfaxtKA5TOU9VRaCt_F_nb7zhAptO4AtthorxiHWCdg_aem_Ab53sgYj0AXg1wHrOP9-c_K7pwoMqX0psYWAvNMAanqh5pafTHBFb3bnshKB534J9AA Canal Leticia Smirelli (Youtube): https://www.youtube.com/@LeticiaSmirelli Pagina Leticia Smirelli: https://keepo.io/leticia/?fbclid=PAAabu7cvnFTkkFw1UiJrDMIXiMJ45Av6XKlCXIfWAUiRH2c4kiSZzo7FX6TY_aem_Ab7BHn25MaVK22HFw9zXNfsYv5k5Y5o9WLMGZeFB9wSSSAV3d7EDA0JuGjXWSqd_SEs

What does data engineer  @ShashankData  think about AI, Power BI & Cold Messaging?

Listen to find out 👆

Subscribe to Shashank's Channel: https://www.youtube.com/@ShashankData

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

🏫 Check out my 10-week data analytics bootcamp

Connect with Avery:

📺 Subscribe on YouTube: youtube.com/c/AverySmithDataCareerJumpstart/videos

🎙 Listen to My Podcast: podcasts.apple.com/us/podcast/data-career-podcast/id1547386535

👔 Connect with me on LinkedIn: linkedin.com/in/averyjsmith/

📸 Instagram: instagram.com/datacareerjumpstart/

🎵 TikTok: tiktok.com/@verydata

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

In programming, collaboration and experimentation can be very stressful, since sharing code and making it visible to others can be tedious, time-consuming, and nerve-wracking.Tools like Power BI are changing that entirely, by opening up new ways to collaborate between team members, add layers of customized and complex security to the data teams are working with, and making data much more accessible across organizations.

Ginger Grant joins the show to talk about how organizations can utilize Power BI, Dax, and M to their fullest potential and create new opportunities for experimentation, innovation, and collaboration.

Ginger is the Principal Consultant at the Desert Isle Group, working as an expert in advanced analytic solutions, including machine learning, data warehousing, ETL, reporting and cube development, Power BI, Excel Automation, Data Visualization and training. In addition to her consultant work, she is also a blogger at and global keynote speaker on developments and trends in data. Microsoft has also recognized her technical contributions by awarding her a MVP in Data Platform.

In this episode, we talk about what Power BI is, the common mistakes organizations make when implementing Power BI, advanced use cases, and much more.

Today I’m chatting with Emilie Shario, a Data Strategist in Residence at Amplify Partners. Emilie thinks data teams should operate like product teams. But what led her to that conclusion, and how has she put the idea into practice? Emilie answers those questions and more, delving into what kind of pushback and hiccups someone can expect when switching from being data-driven to product-driven and sharing advice for data scientists and analytics leaders.

Highlights / Skip to:

Answering the question “whose job is it” (5:18) Understanding and solving problems instead of just building features people ask for (9:05) Emilie explains what Amplify Partners is and talks about her work experience and how it fuels her perspectives on data teams (11:04) Emilie and I talk about the definition of data product (13:00) Emilie talks about her approach to building and training a data team (14:40) We talk about UX designers and how they fit into Emilie’s data teams (18:40) Emilie talks about the book and blog “Storytelling with Data” (21:00) We discuss the push back you can expect when trying to switch a team from being data driven to being product driven (23:18) What hiccups can people expect when switching to a product driven model (30:36) Emilie’s advice for data scientists and and analyst leaders (35:50) Emilie explains what Locally Optimistic is (37:34)

Quotes from Today’s Episode “Our thesis is…we need to understand the problems we’re solving before we start building solutions, instead of just building the things people are asking for.” — Emilie (2:23)

“I’ve seen this approach of flipping the ask on its head—understanding the problem you’re trying to solve—work and be more successful at helping drive impact instead of just letting your data team fall into this widget builder service trap.” — Emilie (4:43)

“If your answer to any problem to me is, ‘That’s not my job,’ then I don’t want you working for me because that’s not what we’re here for. Your job is whatever the problem in front of you that needs to be solved.” — Emilie (7:14)

“I don’t care if you have all of the data in the world and the most talented machine learning engineers and you’ve got the ability to do the coolest new algorithm fancy thing. If it doesn’t drive business impact, it doesn’t matter.” — Emilie (7:52)

“Data is not just a thing that anyone can do. It’s not just about throwing numbers in a spreadsheet anymore. It’s about driving business impact. But part of how we drive business impact with data is making it accessible. And accessible isn’t just giving people the numbers, it’s also communicating with it effectively, and UX is a huge piece of how we do that.” — Emilie (19:57)

“There are no null choices in design. Someone is deciding what some other human—a customer, a client, an internal stakeholder—is going to use, whether it’s a React app, or a Power BI dashboard, or a spreadsheet dump, or whatever it is, right? There will be an experience that is created, whether it is intentionally created or not.” — Brian (20:28)

“People will think design is just putting in colors that match together, like, or spinning the color wheel and seeing what lands. You know, there’s so much more to it. And it is an expertise; it is a domain that you have to develop.” — Emilie (34:58)

Links Referenced: Blog post by Rifat Majumder storytellingwithdata.com Experiencing Data Episode 28 with Cole Nussbaumer Knaflic locallyoptimistic.com Twitter: @emilieschario

Hjalmar Gislason is the Founder and CEO of GRID.is, a BI notebook company that has been making big waves in the field in the last few years. He tells us all about GRID.is and the rise of data notebooks. In this episode, you'll learn: [0:05:50] Hjalmar explains exactly what a data notebook is and how it compares to other tools.  [0:11:52] Reasons to consider using a data notebook along with a range of other tools. [0:27:30] The 'living' quality of the models that can be created on GRID.  [0:33:28] A special offer for AOF from Hjalmar and how to sign up immediately! For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/85   Enjoyed the Show?  Please leave us a review on iTunes.

Ryan Wade joins us on AOF today to talk about how to use advanced analytics in your organization! Ryan has been in the analytics game for the last 20 years and is now a Senior Solution Consultant at Blue Granite, based in Indianapolis, Indiana. He recently authored the amazing must-read book, Advanced Analytics in Power BI with R and Python, and in today's chat, we get to hear all about why he wrote the book, who it is for and how you can use it to accelerate your data journey! I met Ryan while speaking at a few conferences and was always impressed with his knowledge and great sense of humor! A professional football player turned data scientist, Ryan has a passion for breaking down advanced analytics in a way anyone can understand. Whether you're already using advanced analytics or researching how to get started Ryan's knowledge on the topic will help you. Tune in with a pencil and paper in hand!   In this episode, you'll learn: [0:09:22] The rise of the R and Python programming languages in the data world. [0:16:44] The necessary, well-thought-out preparatory steps for a project utilizing advanced analytics. [0:19:39] Why attention-grabbing visuals are not the most important part of data storytelling! [0:23:13] Creating a sufficient team for data analytics and the vital roles of the database administrator, active directory administrator, and more! [0:39:07] Client conversations around shortcomings and hurdles in advanced analytics.  For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/82   Enjoyed the Show?  Please leave us a review on iTunes.