Learn DAX formulas with createandlearn.net | Create and Learn - Power BI | Excel | Tableau posted on the topic | LinkedIn (2024)

🔥 Data Analysis Expressions (#DAX) is a formula expression language used in Analysis Services, #PowerBI, and #PowerPivot in #Excel. DAX formulas include functions, operators, and values to perform advanced calculations and queries on #data in related tables and columns in tabular data models.➡ Visit createandlearn.net and start learning #businessintelligence and #datascience tools #powerbi #tableau #excel

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🔥 Data Analysis Expressions (#DAX) is a formula expression language used in Analysis Services, #PowerBI, and #PowerPivot in #Excel. DAX formulas include functions, operators, and values to perform advanced calculations and queries on #data in related tables and columns in tabular data models.➡ Visit createandlearn.net and start learning #businessintelligence and #datascience tools #powerbi #tableau #excel

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🔥 Data Analysis Expressions (#DAX) is a formula expression language used in Analysis Services, #PowerBI, and #PowerPivot in #Excel. DAX formulas include functions, operators, and values to perform advanced calculations and queries on #data in related tables and columns in tabular data #models.➡ Visit createandlearn.net and start learning #businessintelligence and #datascience tools #powerbi #tableau #excel

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I’m happy to share that I’ve obtained a new certification: Excel: Mother of Business Intelligence from Codebasics!I had the opportunity to work on real-world raw data, learning how to clean, transform, and organize it into valuable insights.Skills that I've learned:- VLOOKUP, XLOOKUP and INDEX-MATCH function- Mastered data cleaning & ETL techniques- Created powerful reports using Power Query, Power pivot and DAX- Learned to develop robust Data Models- Completed some real-world projects for hands-on experienceI would like to thank to Dhaval Patel sir and Hemanand Vadivel sir for providing the this amazing content on CodebasicsReady to apply these skills for impactful insights!#Excel #BusinessIntelligence #DataAnalysis #CareerGrowth

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In my many many years of using MS Excel and PowerPoint for data analysis and presentation, I thought that's good enough. Then, I learned how to use MS Power BI, which for me looks like a combination of both MS Excel and PowerPoint but in a more powerful way. Power BI can handle large datasets more efficiently than Excel. I have also enjoyed doing data modelling and DAX (Data Analysis Expressions). In some ways writing DAX feels a bit like using python 😝I cant remember if PowerPoint has slicers/ drill-through features like Power BI does.The picture was when I went to a Power BI class; doing a so much simpler version of data modelling than what it would actually look like in real world 😂

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𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗙𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝗶𝗻 𝟮𝟬𝟮𝟰☑️ 𝗦𝘁𝗮𝗿𝘁 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗕𝗮𝘀𝗶𝗰𝘀: Familiarize yourself with Power BI interface and basic functionalities.☑️ 𝗗𝗮𝘁𝗮 𝗜𝗺𝗽𝗼𝗿𝘁𝗶𝗻𝗴: Learn to import data from various sources (Excel,SQL,Colud-Based service).☑️ 𝗗𝗮𝘁𝗮 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: Master Power Query for Cleaning, transforming, and prepring data. ☑️ 𝗗𝗔𝗫 𝗗𝗲𝗽𝗽 𝗗𝗶𝘃𝗲: Understand Data Analysis Experssion for Calcualted column and Measures.☑️ 𝗗𝗮𝘁𝗮 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴: Create relationships between different data tables for a comprehensive model.☑️ 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Explore a range of charts, graphs, and maps for dynamic reporting.☑️ 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 𝗗𝗲𝘀𝗶𝗴𝗻: Design interactive and user-friendly dashboards.☑️ 𝗣𝘂𝗯𝗹𝗶𝘀𝗵𝗶𝗻𝗴 𝗥𝗲𝗽𝗼𝗿𝘁𝘀: Learn to publish and share your report and Dashboards.☑️ 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: Learn to Integrate Python scripts for more sophisticate Vizual#powerbi #dax #dataanalysis #dataanalyst

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I'm happy to share that I have recently completed the "Excel : Mother of Business Intelligence" course by Codebasics. While completing this course I have learnt about the techniques and tools that are essential in handling data.Here are some of the things I was able to pick up and develop on from this course:Excel Fundamentals: Enhanced my understanding of the various formulae and charts needed to make sense of data.Data Cleaning and Transformation: Got some well needed hands on experience dealing with messy data.Advanced Excel tools: Learnt about VLOOKUP, INDEX MATCH, XLOOKUP along with various other techniques to tackle complex data problems.Business Terminology: Understood the various metrics involved in business and the statistical techniques needed to draw insights about business. Power Tools: Obtained hands on experience in streamlining the EDA process with Power Query and analysing the data effectively with the help of PivotTables and PowerPivot. Real World Projects: Learnt to deal with large datasets and create effective reports that convey the necessary information accurately and effectively.This course is well structured and streamlined to give all the essential skills and knowledge that a Data Analyst needs to deal with any data problem.Special Thanks to Dhaval Patel sir and Hemanand Vadivel sir and the entire Codebasics team for your guidance throughout the course.#DataAnalytics #Excel #EDA #BusinessIntelligence

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📺✨ [NEW VIDEO] Create Year-Over-Year Calculations in Power BI (DAX Guide). 🔗 https://buff.ly/3T4ts9J In our latest YouTube video, we explain how to create year-over-year calculations in Power BI using the DAX programming language. In this easy-to-follow programming guide, you will learn some key functions in DAX, including CALCULATE, DATEADD, SAMEPERIODLASTYEAR, and DIVIDE.Let's learn together! Enjoy the video 😀.....#DAX #PowerBI #Microsoft #MicrosoftFabric #Coding #DataModel #Data #Analytics #DataAnalyst #DataAnalysis #DataScience #DataScientist #DataVisualization #LearnPowerBI #Tech #LearnTech #YouTube #Dashboards #Tableau #QlikView #Looker #BusinessIntelligence #BITools #DataAnalytics #PowerBITraining #TechEducation #Learning #OnlineCourses #DashboardInADay

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𝗧𝗵𝗲 𝗠 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 (𝗣𝗼𝘄𝗲𝗿 𝗤𝘂𝗲𝗿𝘆) 𝘧𝘰𝘳𝘮𝘴 𝘵𝘩𝘦 𝘧𝘰𝘶𝘯𝘥𝘢𝘵𝘪𝘰𝘯 𝘰𝘧 𝘗𝘰𝘸𝘦𝘳 𝘉𝘐'𝘴 𝘳𝘰𝘣𝘶𝘴𝘵 𝘥𝘢𝘵𝘢 𝘵𝘳𝘢𝘯𝘴𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘤𝘢𝘱𝘢𝘣𝘪𝘭𝘪𝘵𝘪𝘦𝘴, 𝘦𝘯𝘢𝘣𝘭𝘪𝘯𝘨 𝘶𝘴𝘦𝘳𝘴 𝘵𝘰 𝘱𝘦𝘳𝘧𝘰𝘳𝘮 𝘦𝘷𝘦𝘳𝘺𝘵𝘩𝘪𝘯𝘨 𝘧𝘳𝘰𝘮 𝘣𝘢𝘴𝘪𝘤 𝘥𝘢𝘵𝘢 𝘤𝘭𝘦𝘢𝘯𝘪𝘯𝘨 𝘵𝘰 𝘪𝘯𝘵𝘳𝘪𝘤𝘢𝘵𝘦 𝘢𝘯𝘢𝘭𝘺𝘵𝘪𝘤𝘢𝘭 𝘵𝘢𝘴𝘬𝘴.One of the key strengths of the 𝗠 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 is its flexibility and power. For example, did you know that you can implement advanced statistical methods such as linear regression or k-means clustering directly within 𝗣𝗼𝘄𝗲𝗿 𝗤𝘂𝗲𝗿𝘆? Moreover, you can design custom error-handling mechanisms to ensure more resilient queries. These advanced functions enable the creation of sophisticated data models and complex analyses during the data preparation process itself, making Power BI a highly efficient tool for both business users and data professionals.👉 𝗧𝗵𝗶𝘀 𝗰𝗼𝗺𝗽𝗿𝗲𝗵𝗲𝗻𝘀𝗶𝘃𝗲 𝗰𝗵𝗲𝗮𝘁𝘀𝗵𝗲𝗲𝘁 provides an extensive collection of M language (Power Query) functions and operations tailored for Power BI. It encompasses a wide range of data manipulation techniques including data cleaning, transformation, advanced date and text handling, list and table operations, error management, data type utilization, function applications, data source management, performance tuning, and advanced analytics approaches.#PowerBI #DataTransformation #MCode #DataAnalytics #DataScience #DataModeling #BusinessIntelligence #PowerQuery #DataVisualization #MachineLearning #AdvancedAnalytics #ETL #DataPreparation #Programming #Python #SQL #AI #StatisticalAnalysis #CodingTips #BusinessAnalysis #DigitalTransformation

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🔷 Data Cleaning and Manipulation using Power Query. 🎊 🔷 Have you ever downloaded a dataset and realized it needed serious cleaning before you could analyse it?" ❓ Dirty data leads to unreliable insights. Today, I'll show you how Power Query helps data analysts conquer this challenge. Power Query is a powerful tool in Excel that streamlines data cleaning and manipulation. ✴ 🔷 Cleaning Techniques used- identifying and removing of duplicates.- how to fill in missing values- how to transform data formats (e.g., dates, text to uppercase).- use filtering and sorting for targeted cleaning.🔷 Data Manipulation- creating calculated columns🔷 In conclusion, we could see the efficacies of data cleaning for accurate analysis and its capabilities for streamlining the process.Call to Action: Encourage viewers to explore Power Query and share their data-cleaning experiences in the comments.#portfolio #dataportfolio #domainknowledge #dataanalyticsbootcamp##DataAnalysis #DataVisualization #BusinessIntelligence#DataAnalytics #Excel #PowerQuery #PowerPivot #Efficiency #DataModeling #Bootcamp2024 #excel #powerbi #mssqlserver #tableau #dataanalytics #problemsolvingskills #dataanalyst #sql #dataanalysis #data #analytics #visualization #python #microsoftexcel#microsoftpowerbi #portfolio #dataportfolio #domainknowledge #Quantum #Anietie

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