Microsoft Power BI Machine Learning and OpenAI offers a comprehensive exploration into advanced data analytics and artificial intelligence using Microsoft Power BI. Through hands-on, workshop-style examples, readers will discover the integration of machine learning models and OpenAI features to enhance business intelligence. This book provides practical examples, real-world scenarios, and step-by-step guidance. What this Book will help me do Learn to apply machine learning capabilities within Power BI to create predictive analytics Understand how to integrate OpenAI services to build enhanced analytics workflows Gain hands-on experience in using R and Python for advanced data visualization in Power BI Master the skills needed to build and deploy SaaS auto ML models within Power BI Leverage Power BI's AI visuals and features to elevate data storytelling Author(s) Greg Beaumont, an expert in data science and business intelligence, brings years of experience in Power BI and analytics to this book. With a focus on practical applications, Greg empowers readers to harness the power of AI and machine learning to elevate their data solutions. As a consultant and trainer, he shares his deep knowledge to help readers unlock the full potential of their tools. Who is it for? This book is ideal for data analysts, BI professionals, and data scientists who aim to integrate machine learning and OpenAI into their workflows. If you're familiar with Power BI's fundamentals and are eager to explore its advanced capabilities, this guide is tailored for you. Perfect for professionals looking to elevate their analytics to a new level, combining data science concepts with Power BI's features.

Over the past 10 years, data analytics and data visualization have become essential components of an enterprise information strategy. And yet, the adoption of data analytics has remained remarkably static, reaching no more than 30% of potential users. This book explores the most important techniques for taking that adoption further: embedding analytics into the workflow of our everyday operations. Authors Donald Farmer and Jim Horbury show business users how to improve decision making without becoming analytics specialists. You'll explore different techniques for exchanging data, insights, and events between analytics platforms and hosting applications. You'll also examine issues including data governance and regulatory compliance and learn best practices for deploying and managing embedded analytics at scale. Learn how data analytics improves business decision making and performance Explore advantages and disadvantages of different embedded analytics platforms Develop a strategy for embedded analytics in an organization or product Define the architecture of an embedded solution Select vendors, platforms, and tools to implement your architecture Hire or train developers and architects to build the embedded solutions you need Understand how embedded analytics interacts with traditional analytics

ABOUT THE TALK: A thoughtful discussion between AI heavyweights on what to expect in this present age of AI. The moderator will draw on their own personal experience and insight to serve up some awesome queries (#wired).

ABOUT THE SPEAKERS: Gregory Larson is the VP of Engineering at Jasper. He joined the company to build out the organization and invest in making AI a part of every creative's workflow.

In past positions Greg was the head of engineering at Divvy Pay and ObservePoint, and he led development and AI projects at Adobe, Jive/LogMeIn, and Microsoft.

Idan Gazit is a Senior Director of Research at GitHub Next, leading the Developer Experiences team. He is a hybrid designer-developer, and can usually be found geeking out about the Web, data visualization, typography, and color

Barry McCardel is the CEO and co-founder of Hex. In past positions Barry has worked at TrialSpark and Palantir Technologies.

George Mathew is the Managing Director at Insight Partners focused on venture stage investments in AI, ML, Analytics, and Data companies as they are establishing product/market Fit.

He brings 20+ years of experience developing high-growth technology startups including most recently being CEO of Kespry.

Sean Owen is the Principal Specialist for Data Science and ML at Databricks.

ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.

Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.

FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai/

ABOUT THE TALK: What does it take to design successful products around AI capabilities? Achieving acceptable reliability is often not about model improvements and fine-tuning. A holistic approach to building AI-powered products requires thinking about how we elicit context from users, how we prompt the models, how we decide to measure the goodness of results, and how the interaction models we use weave intelligence into experiences.

GitHub Next is the birthplace of products like GitHub Copilot and is currently exploring the frontiers of AI assistance for the entire software development lifecycle. In this talk, Idan Gazit shares some practical learnings from experience building and shipping these prototypes and successful interactions with the broader business.

ABOUT THE SPEAKER: Idan Gazit is a Senior Director of Research at GitHub Next, leading the Developer Experiences team. He is a hybrid designer-developer, and can usually be found geeking out about the Web, data visualization, typography, and color. He lives in the East Bay with his family and surrounds himself with a rotating cast of half-finished projects.

ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.

Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.

FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai/

ABOUT THE TALK: Dashboards sit at the end of a long chain of ever-changing data dependencies. And, it is a very visual process – it is hard to tell if a dashboard is correct without an end user looking at the rendered result. This all adds up to a development process that can be slow and error-prone.

“DataOps” is a new set of code-based patterns and practices that aim to address these challenges. In this talk, Dan Eisenberg does a deep dive on these approaches and demonstrate some ways to integrate DataOps into the BI development lifecycle at Glean.

ABOUT THE SPEAKER: Dan Eisenberg is the VP of Technology at Glean.io, a platform for data visualization and collaboration. Prior to Glean, he was a Senior Director of Engineering at Flatiron Health, where his teams designed and built systems for abstracting data from unstructured medical records at scale.

ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.

Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.

FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai/

A comprehensive and fully visual guide to Microsoft Power BI Teach Yourself VISUALLY Power BI collects all the resources you need to master the everyday use of Microsoft's powerful data visualization software and delivers them in a single, easy-to-use volume. Fully illustrated, step-by-step instructions are combined with crystal-clear screenshots that walk you through the basic and advanced functions of Microsoft Power BI. Teach Yourself VISUALLY Power BI offers the best visual learning techniques with complete source material about the interface and substance of Power BI, as well as: Stepwise guidance on working with, transforming, and processing data sources Instructions for customizing data visualizations to create informative and presentation-ready charts and graphs Full-color, two-page tutorials on the more advanced features of Power BI, including app integrations and data access with DAX The fastest, easiest way for visual learners to get a handle on Microsoft Power BI, Teach Yourself VISUALLY Power BI is a can't-miss resource, loaded with useful tips for newbies and experts alike.

Welcome to this step-by-step guide for Excel users, data analysts, and finance specialists. It is designed to take you through practical report and development scenarios, including both the approach and the technical challenges. This book will equip you with an understanding of the overall Power Platform use case for addressing common business challenges. While Power BI continues to be an excellent tool of choice in the BI space, Power Platform is the real game changer. Using an integrated architecture, a small team of citizen developers can build solutions for all kinds of business problems. For small businesses, Power Platform can be used to build bespoke CRM, Finance, and Warehouse management tools. For large businesses, it can be used to build an integration point for existing systems to simplify reporting, operation, and approval processes. The author has drawn on his15 years of hands-on analytics experience to help you pivot from the traditional Excel-based reporting environment. By using different business scenarios, this book provides you with clear reasons why a skill is important before you start to dive into the scenarios. You will use a fast prototyping approach to continue to build exciting reporting, automation, and application solutions and improve them while you acquire new skill sets. The book helps you get started quickly with Power BI. It covers data visualization, collaboration, and governance practices. You will learn about the most practical SQL challenges. And you will learn how to build applications in PowerApps and Power Automate. The book ends with an integrated solution framework that can be adapted to solve a wide range of complex business problems. What You Will Learn Develop reporting solutions and business applications Understand the Power Platform licensing and development environment Apply Data ETL and modeling in Power BI Use Data Storytelling and dashboard design to better visualize data Carry out data operations with SQL and SharePoint lists Develop useful applications using Power Apps Develop automated workflows using Power Automate Integrate solutions with Power BI, Power Apps, and Power Automate to build enterprise solutions Who This Book Is For Next-generation data specialists, including Excel-based users who want to learn Power BI and build internal apps; finance specialists who want to take a different approach to traditional accounting reports; and anyone who wants to enhance their skill set for the future job market.

Expert Data Modeling with Power BI, Second Edition, serves as your comprehensive guide to mastering data modeling using Power BI. With clear explanations, actionable examples, and a focus on hands-on learning, this book takes you through the concepts and advanced techniques that will enable you to build high-performing data models tailored to real-world requirements. What this Book will help me do Master time intelligence and virtual tables in DAX to enhance your data models. Understand best practices for creating efficient Star Schemas and preparing data in Power Query. Deploy advanced modeling techniques such as calculation groups, aggregations, and incremental refresh. Manage complex data models and streamline them to improve performance. Leverage data marts and data flows within Power BI for modularity and scalability. Author(s) Soheil Bakhshi is a seasoned expert in data visualization and analytics with extensive experience in leveraging Power BI for business intelligence solutions. Passionate about educating others, he combines practical insights and technical knowledge to make learning accessible and effective. His approachable writing style reflects his commitment to helping readers succeed. Who is it for? This book is ideal for business intelligence professionals, data analysts, or report developers with basic knowledge of Power BI and experience with Star Schema concepts. Whether you're looking to refine your data modeling skills or expand your expertise in advanced features, this guide aims to help you achieve your goals efficiently.

We will delve into the importance of effective data visualisation in today's world. We will explore how it can help convey insights from data using Matplotlib and best practices for creating informative visualisations. We will also discuss the limitations of static visualisations and examine the role of continuous integration in streamlining the process and avoiding common pitfalls. By the end of this talk, you will have gained valuable insights and techniques for creating informative and accurate data visualisations, no matter what tools you're using.

Are you ready to take your Computer Vision projects to the next level? Then don't miss this talk!

Data visualization is a crucial ingredient for the success of any computer vision project. It allows you to assess the quality of your data, grasp the intricacies of your project, and communicate effectively with stakeholders.

In this talk, we'll showcase the power of data visualization with compelling examples. You'll learn about the benefits of data visualization and discover practical methods and tools to elevate your projects.

Don't let this opportunity pass you by: join us and learn how to make data visualization a core feature of your Computer Vision projects.

If you want to learn data visualization, here are the best 5 books you should read.

Get the books via links down below.

🌟 Join the data project club!

“25OFF” to get 25% off (first 50 members).

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

🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(0:34) - Book 1: Storytelling with Data

(1:50) - Book 2: The Big Book of Dashboards

(2:51) - Book 3: Envisioning Information

(4:12) - Book 4: How Charts Lie

(5:14) - Book 5: Show Me The Numbers

Mentioned Links:

📚 Storytelling with Data: https://amzn.to/3n2rDwJ

📚 The Big Book of Dashboards: https://amzn.to/42nBmO4

📚 Envisioning Information: https://amzn.to/3yN8a5z

📚 How Charts Lie: https://amzn.to/3luqQ77

📚 Show Me The Numbers: https://amzn.to/3FxgeuW

Connect with Avery:

📺 Subscribe on YouTube

🎙Listen to My Podcast

👔 Connect with me on LinkedIn

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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

In this episode, Conor and Bryce get some random stories fom Zach Laine and chat about other random topics. Link to Episode 121 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachAbout the Guest Zach Laine has been using C++ in industry for 15 years, focusing on data visualization, numeric computing, games, generic programming, and good library design. He finds the process of writing bio blurbs to be a little uncomfortable.

Show Notes

Date Recorded: 2023-02-16 Date Released: 2023-03-17 CppCastC++NowElixirConf 2015 - Keynote: Elixir Should Take Over the World by Jessica KerrStop working on your slides - Andrei AlexandrescuCppCon 2018: Louis Dionne “Compile-time programming and reflection in C++20 and beyond”PLDI 2022 ConferenceAgdaChip WarIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8

In this episode, Conor and Bryce talk to Zach Laine about safety in C++, tuples, variants, reductions and more. Link to Episode 120 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachAbout the Guest Zach Laine has been using C++ in industry for 15 years, focusing on data visualization, numeric computing, games, generic programming, and good library design. He finds the process of writing bio blurbs to be a little uncomfortable. Show Notes Date Recorded: 2023-02-16 Date Released: 2023-03-10 Oxide & Friends PodcastYael Grauer on TwitterYael WritesConsumer Reports: Report: Future of Memory SafetyUnsafe RustC++98 std::unordered_mapC++98 std::vectorC++20 ConceptsC++20 CoroutinesC++20 RangesC++17 std::variantP0095 C++ Language Variant ProposalC++17 std::holds_alternativeC++ boost::hana::tupleC++23 std::views::enumeratePython enumerateADSP Episode 25: The Lost ReductionC++23 std::views::adjacent_transformFutharkArrayCast Episode 37: Troels Henriksen and FutharkFuthark reduceFuthark reduce_commNVIDIA thrust::reduceNVIDIA associative-only reduce ProposalIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8

In this episode, Conor and Bryce talk to Zach Laine about APL, Haskell, the problem Three Consecutive Odds and why C++ developers should learn other languages. Link to Episode 119 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachAbout the Guest Zach Laine has been using C++ in industry for 15 years, focusing on data visualization, numeric computing, games, generic programming, and good library design. He finds the process of writing bio blurbs to be a little uncomfortable.

Show Notes

Date Recorded: 2023-02-16 Date Released: 2023-03-03 ADSP Episode 117: OOP, C++ Containers, APIs, EOP & More with Zach Laine!ADSP Episode 118: C++ Allocators with Zach Laine! (Part 2)APLBQNC++98 std::count_ifAnamorphismsC++20 std::views::splitC++23 std::views::chunkC++23 std::views::chunk_byADSP Episode 115: Max Gap in C++23ADSP Episode 116: Max Gap Count in C++23C++98 std::adjacent_differenceC++23 std::views::adjacent_transformThree Consecutive OddsC++98 std::transformC++17 std::transform_reduceC++23 std::views::adjacentC++23 std::views::slideHaskell fromEnumArrayCast Episode: Michael Higginson, 2022 Dyalog Contest WinnerReverse Polish notationP2672 Exploring the Design Space for a Pipeline OperatorDuo LingoDaniela Engert Duo Lingo StreakCategory Theory for Programmers - Bartosz MilewskiC++23 std::views::filterCollection Oriented Programming

In this episode, Conor and Bryce talk to Zach Laine about C++ allocators! Link to Episode 118 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachAbout the Guest Zach Laine has been using C++ in industry for 15 years, focusing on data visualization, numeric computing, games, generic programming, and good library design. He finds the process of writing bio blurbs to be a little uncomfortable.

Show Notes

Date Recorded: 2023-02-16 Date Released: 2023-02-24 ADSP Episode 117: OOP, C++ Containers, APIs, EOP & More with Zach Laine!C++ std::allocatorC++ std::vectorstatic_vectorAn Introduction to Container Adapters in C++C++ std::stackMISRA StandardThrust thrust::host_vector & thrust::device_vectorC++ STL-Like Algorithm LibrariesBoostCon / C++NowBoostCon 2011 - Bryce Lelbach: AST Construction with the Universal TreeBoostCon 2011 - Bryce Lelbach: AST Construction with the Universal Tree ~ SlidesBoost SpiritBoost Spirit utreeCanada Wide Science FairConor’s Science Fair Project SCI IIPlanarianMethylprednisoloneConor’s Science Fair Project Project PokerDavid Stone on TwitterIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8

Data Wrangling with R guides you through mastering data preparation in the R programming language using tidyverse libraries. You will learn techniques to load, explore, transform, and visualize data effectively, gaining the skills needed for data modeling and insights extraction. What this Book will help me do Understand how to use R and tidyverse libraries to handle data wrangling tasks. Learn methods to work with diverse data types like numbers, strings, and dates. Gain proficiency in building visual representations of data using ggplot2. Build and validate your first predictive model for useful insights. Create an interactive web application with Shiny in R. Author(s) Gustavo Santos is an experienced data scientist specializing in R programming and data visualization. With a background in statistics and several years of professional experience in industry and academia, Gustavo excels at translating complex data analytics concepts into practical skills. His approach to teaching is hands-on and example-driven, aiming to empower readers to excel in real-world applications. Who is it for? If you are a data scientist, data analyst, or even a beginner programmer who wants to enhance their data manipulation and visualization skills, this book is perfect for you. Familiarity with R or a general understanding of programming concepts is suggested but not mandatory. It caters to professionals looking to refine their data wrangling workflow and to students aspiring to break into data-centered fields. By the end, you'll be ready to apply data wrangling and visualization tools in your projects.

In this episode, Conor and Bryce talk to Zach Laine! Link to Episode 117 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachAbout the Guest Zach Laine has been using C++ in industry for 15 years, focusing on data visualization, numeric computing, games, generic programming, and good library design. He finds the process of writing bio blurbs to be a little uncomfortable.

Show Notes

Date Recorded: 2023-02-16 Date Released: 2023-02-17 UT AustinObject Oriented ProgrammingC++ virtualDynamic and Static PolymorphismAd Hoc PolymorphismParametric PolymorphismRank PolymorphismElements of Programming (Free PDF)The Structure and Interpretation of Computer ProgramsC++23 std::flat_mapC++17 std::string_viewC++20 std::spanC++20 std::basic_string::starts_withC++20 std::basic_string::ends_withC++20 std::basic_string::containsIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8

This book is your comprehensive guide to achieving the Tableau Desktop Specialist certification. By working through its structured content, you'll gain the skills necessary to understand and utilize Tableau for data analysis and visualization, and you'll be confidently prepared to pass the certification exam. What this Book will help me do Master how to load and prepare data in Tableau efficiently for analysis. Design and create visually impactful charts and dashboards tailored to your audience. Learn to utilize calculations, parameters, and advanced functions in Tableau. Develop an understanding of managing dimensions, measures, and their application. Gain confidence in sharing and presenting insights effectively with Tableau. Author(s) Adam Mico, a renowned Tableau ambassador and visionary, has extensive experience in the data visualization field. Having successfully obtained the Tableau Desktop Specialist certification himself, Adam combines practical expertise with an intuitive teaching approach, ensuring readers gain both the knowledge and confidence required to excel. Who is it for? If you're starting your journey in data visualization or looking to formalize your Tableau skills, this book is intended for you. Beginners without prior Tableau experience will find structured guidance, while those with some knowledge will appreciate the detailed preparation tips. Ideal for professionals aiming to pass the Tableau Desktop Specialist certification or improve their data analysis capabilities.

CompTIA® Data+ DA0-001 Exam Cram is an all-inclusive study guide designed to help you pass the CompTIA Data+ DA0-001 exam. Prepare for test day success with complete coverage of exam objectives and topics, plus hundreds of realistic practice questions. Extensive prep tools include quizzes, Exam Alerts, and our essential last-minute review CramSheet. The powerful Pearson Test Prep practice software provides real-time assessment and feedback with two complete exams. Covers the critical information needed to score higher on your Data+ DA0-001 exam! Understand data concepts, environments, mining, analysis, visualization, governance, quality, and controls Work with databases, data warehouses, database schemas, dimensions, data types, structures, and file formats Acquire data and understand how it can be monetized Clean and profile data so it;s more accurate, consistent, and useful Review essential techniques for manipulating and querying data Explore essential tools and techniques of modern data analytics Understand both descriptive and inferential statistical methods Get started with data visualization, reporting, and dashboards Leverage charts, graphs, and reports for data-driven decision-making Learn important data governance concepts ...

Something we talk about alot on DataFramed is the importance of data literacy and data skills — and how they help both individuals and organizations succeed with data. Oftentimes, when organizations engage in upskilling programs on data literacy, one of the common pushbacks people have is, “I am not a numbers person”.  So how do you move past that? How can leaders help their people bridge the data literacy gap, and in turn create a data culture? That’s where Dr. Selena Fisk comes in. Fisk is a data storyteller, coach, and thought leader in the data industry. She works in both the corporate sector and in education to develop data-led strategies that can help organizations grow. Fisk mainly specializes in the areas of data literacy, data visualization, and data storytelling, and is the author of three books, “Using and Analysing Data in Australian Schools,” “Leading Data-Informed Change in Schools,” and “I’m Not a Numbers Person: How to Make Good Decisions in a Data-Rich World.”

Throughout our conversation, we discuss the difference between being data-informed and data-driven, the different levels of data literacy, why change management is crucial to the success of any data literacy program, how to democratize data skills, how to approach data upskilling as a leader, and much more.