This comprehensive guide provides the perfect introduction to Microsoft Power BI, offering practical examples to help you learn the key tools and concepts of data visualization and analytics. By exploring real-world use cases, you'll gain the skills necessary to manage data, build interactive dashboards, and unlock valuable business insights. What this Book will help me do Learn the fundamentals of Power BI and business intelligence. Understand advanced features like Microsoft Fabric and Copilot. Transform raw data into meaningful visualizations and reports. Design professional dashboards to convey data insights clearly. Deploy and share reports effectively within your organization. Author(s) Greg Deckler is a recognized authority in Microsoft Power BI, holding the title of a 7-time Microsoft MVP. With extensive experience in business intelligence, Greg is known for his ability to distill complex concepts into clear and practical advice. His approachable teaching style makes technical learning accessible and engaging. Who is it for? This book is ideal for aspiring data analysts or IT professionals looking to gain a solid foundation in Power BI. Beginners with no prior experience in Power BI or business intelligence will find it especially useful. It's also suitable for professionals transitioning from other BI tools. Whether you're looking to enhance your current career or start a new one, this book is for you.

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

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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

Data science continues to evolve in the age of AI, but is it still the 'sexiest job of the 21st century'? While generative AI has transformed the landscape, it hasn't replaced data scientists—instead, it's created more demand for their skills. Data professionals now incorporate AI into their workflows to boost efficiency, analyze data faster, and communicate insights more effectively. But with these technological advances come questions: How should you adapt your skills to stay relevant? What's the right balance between traditional data science techniques and new AI capabilities? And as roles like analytics engineer and machine learning engineer emerge, how do you position yourself for success in this rapidly changing field? Dawn Choo is the Co-Founder of Interview Master, a platform designed to streamline technical interview preparation. With a foundation in data science, financial analysis, and product strategy, she brings a cross-disciplinary lens to building data-driven tools that improve hiring outcomes. Her career spans roles at leading tech firms, including ClassDojo, Patreon, and Instagram, where she delivered insights to support product development and user engagement. Earlier, Dawn held analytical and engineering positions at Amazon and Bank of America, focusing on business intelligence, financial modeling, and risk analysis. She began her career at Facebook as a marketing analyst and continues to be a visible figure in the data science community—offering practical guidance to job seekers navigating technical interviews and career transitions. In the episode, Richie and Dawn explore the evolving role of data scientists in the age of AI, the impact of generative AI on workflows, the importance of foundational skills, and the nuances of the hiring process in data science. They also discuss the integration of AI in products and the future of personalized AI models, and much more. Links Mentioned in the Show: Interview MasterConnect with DawnDawn’s Newsletter: Ask Data DawnGet Certified: AI Engineer for Data Scientists Associate CertificationRelated Episode: How To Get Hired As A Data Or AI Engineer with Deepak Goyal, CEO & Founder at Azurelib AcademyRewatch 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

"Learning Tableau 2025" provides a comprehensive guide to mastering Tableau's latest features, including advanced AI capabilities like Tableau Pulse and Agent. This book, authored by Tableau expert Joshua N. Milligan, will equip you with the tools to transform complex data into actionable insights and interactive dashboards. What this Book will help me do Learn to use Tableau's advanced AI features, including Tableau Agent and Pulse, to streamline data analysis and automate insights. Develop skills to create and customize dynamic dashboards tailored to interactive data storytelling. Understand and utilize new geospatial functions within Tableau for advanced mapping and analytics. Master Tableau Prep's enhanced data preparation capabilities for efficient data modeling and structuring. Learn to effectively integrate and analyze data from multiple sources, enhancing your ability to extract meaningful insights. Author(s) Joshua N. Milligan, a Tableau Zen Master and Visionary, has years of experience in the field of data visualization and analytics. With a hands-on approach, Joshua combines his expertise and passion for Tableau to make complex topics accessible and engaging. His teaching method ensures that readers gain practical, actionable knowledge. Who is it for? This book is ideal for aspiring business intelligence developers, data analysts, data scientists, and professionals seeking to enhance their data visualization skills. It's suitable for both beginners looking to get started with Tableau and experienced users eager to explore its new features. A Tableau license or access to a 14-day trial is recommended.

This book is your guide to the modern market of data analytics platforms and the benefits of using Snowflake, the data warehouse built for the cloud. As organizations increasingly rely on modern cloud data platforms, the core of any analytics framework—the data warehouse—is more important than ever. This updated 2nd edition ensures you are ready to make the most of the industry’s leading data warehouse. This book will onboard you to Snowflake and present best practices for deploying and using the Snowflake data warehouse. The book also covers modern analytics architecture, integration with leading analytics software such as Matillion ETL, Tableau, and Databricks, and migration scenarios for on-premises legacy data warehouses. This new edition includes expanded coverage of SnowPark for developing complex data applications, an introduction to managing large datasets with Apache Iceberg tables, and instructions for creating interactive data applications using Streamlit, ensuring readers are equipped with the latest advancements in Snowflake's capabilities. What You Will Learn Master key functionalities of Snowflake Set up security and access with cluster Bulk load data into Snowflake using the COPY command Migrate from a legacy data warehouse to Snowflake Integrate the Snowflake data platform with modern business intelligence (BI) and data integration tools Manage large datasets with Apache Iceberg Tables Implement continuous data loading with Snowpipe and Dynamic Tables Who This Book Is For Data professionals, business analysts, IT administrators, and existing or potential Snowflake users

Put statistics into practice with Python! Data-driven decisions rely on statistics. Statistics Every Programmer Needs introduces the statistical and quantitative methods that will help you go beyond “gut feeling” for tasks like predicting stock prices or assessing quality control, with examples using the rich tools of the Python ecosystem. Statistics Every Programmer Needs will teach you how to: Apply foundational and advanced statistical techniques Build predictive models and simulations Optimize decisions under constraints Interpret and validate results with statistical rigor Implement quantitative methods using Python In this hands-on guide, stats expert Gary Sutton blends the theory behind these statistical techniques with practical Python-based applications, offering structured, reproducible, and defensible methods for tackling complex decisions. Well-annotated and reusable Python code listings illustrate each method, with examples you can follow to practice your new skills. About the Technology Whether you’re analyzing application performance metrics, creating relevant dashboards and reports, or immersing yourself in a numbers-heavy coding project, every programmer needs to know how to turn raw data into actionable insight. Statistics and quantitative analysis are the essential tools every programmer needs to clarify uncertainty, optimize outcomes, and make informed choices. About the Book Statistics Every Programmer Needs teaches you how to apply statistics to the everyday problems you’ll face as a software developer. Each chapter is a new tutorial. You’ll predict ultramarathon times using linear regression, forecast stock prices with time series models, analyze system reliability using Markov chains, and much more. The book emphasizes a balance between theory and hands-on Python implementation, with annotated code and real-world examples to ensure practical understanding and adaptability across industries. What's Inside Probability basics and distributions Random variables Regression Decision trees and random forests Time series analysis Linear programming Monte Carlo and Markov methods and much more About the Reader Examples are in Python. About the Author Gary Sutton is a business intelligence and analytics leader and the author of Statistics Slam Dunk: Statistical analysis with R on real NBA data. Quotes A well-organized tour of the statistical, machine learning and optimization tools every data science programmer needs. - Peter Bruce, Author of Statistics for Data Science and Analytics Turns statistics from a stumbling block into a superpower. Clear, relevant, and written with a coder’s mindset! - Mahima Bansod, LogicMonitor Essential! Stats and modeling with an emphasis on real-world system design. - Anupam Samanta, Google A great blend of theory and practice. - Ariel Andres, Scotia Global Asset Management

SOLID will showcase how they’ve built just-in-time semantic models using the metadata and usage patterns already available in DWH and BI layers. They’ll walk us through how they connected Cortex to their automatic documentation layer, unlocking business context from technical systems—just when it’s needed.

Carlo Zapponi—From Data to Narrative: Automating Contextual Annotations with AI (Outlier 2025)

🌟Outlier is a one-of-a-kind data visualization conference hosted by the Data Visualization Society. Outlier brings together all corners of the data visualization community, from artists to business intelligence developers, working in various tech stacks and media. Attendees stretch their creativity and learn from practitioners who they may not otherwise connect with. Learn more on the Outlier website: https://www.outlierconf.com/

📈About the Data Visualization Society: The Data Visualization Society was founded to serve as a professional home for those working across the discipline. Our mission is to connect data visualizers across tech stacks, subject areas, and experience. Advance your skills and grow your network by joining our community: https://www.datavisualizationsociety.org/

Chandni Naidu—Hands on: Data Viz with AI Agents—Create Your Own Multi-agent Studio (Outlier 2025)

🌟Outlier is a one-of-a-kind data visualization conference hosted by the Data Visualization Society. Outlier brings together all corners of the data visualization community, from artists to business intelligence developers, working in various tech stacks and media. Attendees stretch their creativity and learn from practitioners who they may not otherwise connect with. Learn more on the Outlier website: https://www.outlierconf.com/

📈About the Data Visualization Society: The Data Visualization Society was founded to serve as a professional home for those working across the discipline. Our mission is to connect data visualizers across tech stacks, subject areas, and experience. Advance your skills and grow your network by joining our community: https://www.datavisualizationsociety.org/

Marco Hernandez—What it takes to create visual stories at the New York Times (Outlier 2025)

🌟Outlier is a one-of-a-kind data visualization conference hosted by the Data Visualization Society. Outlier brings together all corners of the data visualization community, from artists to business intelligence developers, working in various tech stacks and media. Attendees stretch their creativity and learn from practitioners who they may not otherwise connect with. Learn more on the Outlier website: https://www.outlierconf.com/

📈About the Data Visualization Society: The Data Visualization Society was founded to serve as a professional home for those working across the discipline. Our mission is to connect data visualizers across tech stacks, subject areas, and experience. Advance your skills and grow your network by joining our community: https://www.datavisualizationsociety.org/

Obinna Iwuji and Chani Wisdom—A Data-Driven Journey Through Nature’s Numbers (Outlier 2025)

🌟Outlier is a one-of-a-kind data visualization conference hosted by the Data Visualization Society. Outlier brings together all corners of the data visualization community, from artists to business intelligence developers, working in various tech stacks and media. Attendees stretch their creativity and learn from practitioners who they may not otherwise connect with. Learn more on the Outlier website: https://www.outlierconf.com/

📈About the Data Visualization Society: The Data Visualization Society was founded to serve as a professional home for those working across the discipline. Our mission is to connect data visualizers across tech stacks, subject areas, and experience. Advance your skills and grow your network by joining our community: https://www.datavisualizationsociety.org/

Zan Armstrong—Beyond Explore & Explain Diagnostic Charts and the Question Dimension (Outlier 2025)

🌟Outlier is a one-of-a-kind data visualization conference hosted by the Data Visualization Society. Outlier brings together all corners of the data visualization community, from artists to business intelligence developers, working in various tech stacks and media. Attendees stretch their creativity and learn from practitioners who they may not otherwise connect with. Learn more on the Outlier website: https://www.outlierconf.com/

📈About the Data Visualization Society: The Data Visualization Society was founded to serve as a professional home for those working across the discipline. Our mission is to connect data visualizers across tech stacks, subject areas, and experience. Advance your skills and grow your network by joining our community: https://www.datavisualizationsociety.org/

Zane Wolf—Reimagining how we create data viz (Outlier 2025)

🌟Outlier is a one-of-a-kind data visualization conference hosted by the Data Visualization Society. Outlier brings together all corners of the data visualization community, from artists to business intelligence developers, working in various tech stacks and media. Attendees stretch their creativity and learn from practitioners who they may not otherwise connect with. Learn more on the Outlier website: https://www.outlierconf.com/

📈About the Data Visualization Society: The Data Visualization Society was founded to serve as a professional home for those working across the discipline. Our mission is to connect data visualizers across tech stacks, subject areas, and experience. Advance your skills and grow your network by joining our community: https://www.datavisualizationsociety.org/

Alberto Cairo, Christopher Laubenthal & Jennifer Roscoe—Opening Remarks (Outlier 2025)

🌟Outlier is a one-of-a-kind data visualization conference hosted by the Data Visualization Society. Outlier brings together all corners of the data visualization community, from artists to business intelligence developers, working in various tech stacks and media. Attendees stretch their creativity and learn from practitioners who they may not otherwise connect with. Learn more on the Outlier website: https://www.outlierconf.com/

📈About the Data Visualization Society: The Data Visualization Society was founded to serve as a professional home for those working across the discipline. Our mission is to connect data visualizers across tech stacks, subject areas, and experience. Advance your skills and grow your network by joining our community: https://www.datavisualizationsociety.org/

Alec Warren—Science Museums as Visual Communication Centers Through XR Experiences (Outlier 2025)

🌟Outlier is a one-of-a-kind data visualization conference hosted by the Data Visualization Society. Outlier brings together all corners of the data visualization community, from artists to business intelligence developers, working in various tech stacks and media. Attendees stretch their creativity and learn from practitioners who they may not otherwise connect with. Learn more on the Outlier website: https://www.outlierconf.com/

📈About the Data Visualization Society: The Data Visualization Society was founded to serve as a professional home for those working across the discipline. Our mission is to connect data visualizers across tech stacks, subject areas, and experience. Advance your skills and grow your network by joining our community: https://www.datavisualizationsociety.org/

Gabrielle Merite—From making to shaping: Data practitioners as strategic advisors (Outlier 2025)

🌟Outlier is a one-of-a-kind data visualization conference hosted by the Data Visualization Society. Outlier brings together all corners of the data visualization community, from artists to business intelligence developers, working in various tech stacks and media. Attendees stretch their creativity and learn from practitioners who they may not otherwise connect with. Learn more on the Outlier website: https://www.outlierconf.com/

📈About the Data Visualization Society: The Data Visualization Society was founded to serve as a professional home for those working across the discipline. Our mission is to connect data visualizers across tech stacks, subject areas, and experience. Advance your skills and grow your network by joining our community: https://www.datavisualizationsociety.org/

Gurman Bhatia—The Whole Is Something Besides the Parts (Outlier 2025)

🌟Outlier is a one-of-a-kind data visualization conference hosted by the Data Visualization Society. Outlier brings together all corners of the data visualization community, from artists to business intelligence developers, working in various tech stacks and media. Attendees stretch their creativity and learn from practitioners who they may not otherwise connect with. Learn more on the Outlier website: https://www.outlierconf.com/

📈About the Data Visualization Society: The Data Visualization Society was founded to serve as a professional home for those working across the discipline. Our mission is to connect data visualizers across tech stacks, subject areas, and experience. Advance your skills and grow your network by joining our community: https://www.datavisualizationsociety.org/

Jennifer Roscoe—Reimagining the Future of Data Viz (Outlier 2025)

🌟Outlier is a one-of-a-kind data visualization conference hosted by the Data Visualization Society. Outlier brings together all corners of the data visualization community, from artists to business intelligence developers, working in various tech stacks and media. Attendees stretch their creativity and learn from practitioners who they may not otherwise connect with. Learn more on the Outlier website: https://www.outlierconf.com/

📈About the Data Visualization Society: The Data Visualization Society was founded to serve as a professional home for those working across the discipline. Our mission is to connect data visualizers across tech stacks, subject areas, and experience. Advance your skills and grow your network by joining our community: https://www.datavisualizationsociety.org/

Lauren Klein and Tanvi Sharma—Rethinking the Origins of Modern Data Visualization (Outlier 2025)

🌟Outlier is a one-of-a-kind data visualization conference hosted by the Data Visualization Society. Outlier brings together all corners of the data visualization community, from artists to business intelligence developers, working in various tech stacks and media. Attendees stretch their creativity and learn from practitioners who they may not otherwise connect with. Learn more on the Outlier website: https://www.outlierconf.com/

📈About the Data Visualization Society: The Data Visualization Society was founded to serve as a professional home for those working across the discipline. Our mission is to connect data visualizers across tech stacks, subject areas, and experience. Advance your skills and grow your network by joining our community: https://www.datavisualizationsociety.org/