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๐ŸŽฅ A new Collate Clue is here. This episode gives you a quick walkthrough of the new Visual Governance Workflow Builder. In just a few minutes, you'll learn how to use this no-code feature to create sophisticated workflows. Watch here: youtu.be/DgFE_gI1Ze4 #dataengineering #datagovernace #dataworkflow #openmetadata
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๐Ÿ–ฑ A new year and a new interactive demo. This new demo gives you a quick walkthrough of the new Visual Governance Workflow Builder. In just a few minutes, you'll learn how to use this no-code feature to create sophisticated workflows. Try here: collate.storylane.io/share/aโ€ฆ #dataengineering #datagovernace #dataworkflow #openmetadata
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This tool made my entire data pipeline feel effortless - like I had superpowers. No setup stress. No syntax headaches. Just pure flow - ask, refine, deploy. @Zerve_AI turned hours of grunt work into minutes of clarity. Itโ€™s not code magic. Itโ€™s a collaboration with intelligence. Use it here: hubs.la/Q03RxyP00 #LovableForData #DataWorkflow #AIinAction
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๐ŸŽต Oh, why donโ€™t we be friends? ๐ŸŽต BenMakesDataEasy Tabular Editor 2 = ๐ŸŽฏ Quickly pull a list of measures โ†’ pair with AI โ†’ TE2 takes care of the rest. Iโ€™m quickly using AI to update measure descriptions and then batch load them in TE2. Effortless, fast, and a little bit magical. โœจ What do you think, boys? @KyleAMueller2, @DOtykier, @kurtbuhler #PowerBI #TabularEditor #BenMakesDataEasy #DataWorkflow
๐Ÿš Donโ€™t be a struggle bus in Power BI today. โœ… Want to search through all your measures in a dataset? โœ… Or across your entire workspace? โœ… Even calculation items too? Meet your new bus driver: BenMakesDataEasy ๐Ÿ˜‰ @GilbertQue โ€” thought you might like this alongside your new video on finding dynamic strings. This could be a helpful combo! #PowerBI #BenMakesDataEasy
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How to plan a data project ๐Ÿง  - Define the question - Explore the data - Clean & transform - Visualize & tell the story Keep it simple. Stay focused. #DataWorkflow #DataAnalysis #CloudComputing #BuildInPublic #DataAnalytics #PowerBI #SQL
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๐Ÿ“Š ๐“๐‡๐„ ๐ƒ๐€๐“๐€ ๐€๐๐€๐‹๐˜๐’๐ˆ๐’ ๐–๐Ž๐‘๐Š๐…๐‹๐Ž๐–: ๐Ÿ” ๐’๐“๐„๐๐’ ๐…๐‘๐Ž๐Œ ๐‘๐€๐– ๐ƒ๐€๐“๐€ ๐“๐Ž ๐ˆ๐๐’๐ˆ๐†๐‡๐“ โ€“ ๐”๐๐‹๐Ž๐‚๐Š ๐˜๐Ž๐”๐‘ ๐ƒ๐€๐“๐€'๐’ ๐๐Ž๐“๐„๐๐“๐ˆ๐€๐‹ Drowning in raw data but thirsty for real insights? You're not alone. Transforming chaos into clarity requires a structured approach. Our latest infographic unveils the ๐Ÿ” ๐„๐’๐’๐„๐๐“๐ˆ๐€๐‹ ๐’๐“๐„๐๐’ ๐จ๐Ÿ ๐ญ๐ก๐ž ๐ƒ๐š๐ญ๐š ๐€๐ง๐š๐ฅ๐ฒ๐ฌ๐ข๐ฌ ๐–๐จ๐ซ๐ค๐Ÿ๐ฅ๐จ๐ฐ, your roadmap from messy inputs to actionable intelligence. ๐˜š๐˜ต๐˜ฐ๐˜ฑ ๐˜จ๐˜ถ๐˜ฆ๐˜ด๐˜ด๐˜ช๐˜ฏ๐˜จ ๐˜ข๐˜ฏ๐˜ฅ ๐˜ด๐˜ต๐˜ข๐˜ณ๐˜ต ๐˜ฌ๐˜ฏ๐˜ฐ๐˜ธ๐˜ช๐˜ฏ๐˜จ! ๐…๐จ๐ฅ๐ฅ๐จ๐ฐ ๐ญ๐ก๐ž ๐๐š๐ญ๐ก ๐ญ๐จ ๐ƒ๐š๐ญ๐š-๐ƒ๐ซ๐ข๐ฏ๐ž๐ง ๐’๐ฎ๐œ๐œ๐ž๐ฌ๐ฌ! โžก๏ธ ๐ŸŽฏ ๐ƒ๐ž๐Ÿ๐ข๐ง๐ž ๐ญ๐ก๐ž ๐๐ซ๐จ๐›๐ฅ๐ž๐ฆ ๐จ๐ซ ๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐ก ๐๐ฎ๐ž๐ฌ๐ญ๐ข๐จ๐ง: What exactly are you trying to uncover? Clarity is the first step to impactful analysis. โ›๏ธ ๐๐ซ๐ž๐ฉ๐š๐ซ๐ž ๐จ๐ซ ๐‚๐จ๐ฅ๐ฅ๐ž๐œ๐ญ ๐ญ๐ก๐ž ๐‘๐š๐ฐ ๐ƒ๐š๐ญ๐š: Gather your information from the right sources, ensuring its relevance and accuracy. ๐Ÿงผ ๐‚๐ฅ๐ž๐š๐ง ๐š๐ง๐ ๐๐ซ๐จ๐œ๐ž๐ฌ๐ฌ ๐ƒ๐š๐ญ๐š: Tidy up your dataset! Handle missing values, outliers, and inconsistencies to ensure reliable results. ๐Ÿง  ๐€๐ง๐š๐ฅ๐ฒ๐ณ๐ข๐ง๐  ๐ญ๐ก๐ž ๐ƒ๐š๐ญ๐š: Apply the right techniques โ€“ statistical analysis, machine learning, etc. โ€“ to identify patterns and trends. ๐Ÿ“ˆ ๐ƒ๐š๐ญ๐š ๐•๐ข๐ฌ๐ฎ๐š๐ฅ๐ข๐ณ๐š๐ญ๐ข๐จ๐ง: Bring your findings to life! Use charts, graphs, and dashboards to communicate complex information clearly. ๐Ÿ—ฃ๏ธ ๐๐ซ๐ž๐ฌ๐ž๐ง๐ญ๐ข๐ง๐  ๐ญ๐ก๐ž ๐ƒ๐š๐ญ๐š: Tell the story your data reveals. Communicate your insights effectively to stakeholders for informed decision-making. ๐Ÿ’ก At ๐๐‚ ๐ƒ๐จ๐œ๐ญ๐จ๐ซ๐ฌ ๐๐„๐“, we empower businesses to harness the full power of their data. Our expert data analysis services guide you through every step of this crucial workflow, ๐ญ๐ฎ๐ซ๐ง๐ข๐ง๐  ๐ซ๐š๐ฐ ๐ข๐ง๐Ÿ๐จ๐ซ๐ฆ๐š๐ญ๐ข๐จ๐ง ๐ข๐ง๐ญ๐จ ๐ฌ๐ญ๐ซ๐š๐ญ๐ž๐ ๐ข๐œ ๐š๐๐ฏ๐š๐ง๐ญ๐š๐ ๐ž๐ฌ. Ready to unlock your data's hidden potential? ๐‹๐ž๐ญ'๐ฌ ๐ญ๐ซ๐š๐ง๐ฌ๐Ÿ๐จ๐ซ๐ฆ ๐ฒ๐จ๐ฎ๐ซ ๐ข๐ง๐ฌ๐ข๐ ๐ก๐ญ๐ฌ ๐ข๐ง๐ญ๐จ ๐ข๐ฆ๐ฉ๐š๐œ๐ญ. ๐ŸŒ pcdoctorsnet.com ๐Ÿ“ž 1 (346) 355-6002 #DataAnalysis #DataWorkflow #DataToInsight #BusinessIntelligence #Analytics #DataDriven #DataVisualization #ProblemSolving #DecisionMaking #PCDOCTORSNET #Texas #USA #UnitedStates #Canada #India #TechTips
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You donโ€™t need a 10-page model to create value. Sometimes all it takes is: โ†’ One question โ†’ Clean data โ†’ A clear story Thatโ€™s where Python shines. How do you turn raw data into insights? #DataWorkflow #PythonForData
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Join us next week for a #webinar that explores the fundamentals of research #datamanagement, designed to help you establish a strong and transparent #dataWorkFlow for your projects. Registration is free but essential: ebi.ac.uk/training/events/prโ€ฆ #FAIRdata @emblebi @embl #bioimaging
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๐Ÿ’ฌ Like, comment, share, and follow if this helped. Letโ€™s make data cleaning less painfulโ€”and more powerful. #ExcelTips #PythonAutomation #DataCleaning #PrimedsoftTips #Pandas #BusinessEfficiency #DataWorkflow #ProcessOptimization #PythonForBusiness (7/7)
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๐—จ๐—ป๐—ฑ๐—ฒ๐—ฟ๐˜€๐˜๐—ฎ๐—ป๐—ฑ ๐—ต๐—ผ๐˜„ ๐˜๐—ผ ๐—ฑ๐—ถ๐˜ƒ๐—ฒ ๐—ฑ๐—ฒ๐—ฒ๐—ฝ ๐—ถ๐—ป๐˜๐—ผ ๐—ฐ๐˜‚๐˜€๐˜๐—ผ๐—บ๐—ฒ๐—ฟ๐˜€ ๐˜€๐˜‚๐—ฏ๐˜€๐—ฐ๐—ฟ๐—ถ๐—ฝ๐˜๐—ถ๐—ผ๐—ป ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ฎ๐˜€ ๐—ฎ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ฎ๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜! A lot of time, to understand and analyze the data in a better way, you may need to dig deep into the data as a data analyst. ๐—Ÿ๐—ฒ๐˜'๐˜€ ๐—ฑ๐—ถ๐˜€๐—ฐ๐˜‚๐˜€๐˜€ ๐—ต๐—ผ๐˜„ ๐˜†๐—ผ๐˜‚ ๐—ฐ๐—ฎ๐—ป ๐—ฎ๐—ป๐—ฎ๐—น๐˜†๐˜‡๐—ฒ ๐˜€๐˜‚๐—ฏ๐˜€๐—ฐ๐—ฟ๐—ถ๐—ฝ๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐—ฎ๐—ฐ๐—ฐ๐—ผ๐—ฟ๐—ฑ๐—ถ๐—ป๐—ด ๐˜๐—ผ ๐—น๐—ผ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฎ๐—ป๐—ฑ ๐—ฎ๐—ด๐—ฒ ๐—ด๐—ฟ๐—ผ๐˜‚๐—ฝ๐˜€ ๐—ฎ๐˜€ ๐—ฎ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ฎ๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜. Solution: ๐˜€๐—ฒ๐—น๐—ฒ๐—ฐ๐˜ "๐—น๐—ผ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป",๐—ฎ๐—ด๐—ฒ_๐—ด๐—ฟ๐—ผ๐˜‚๐—ฝ, ๐—ฐ๐—ผ๐˜‚๐—ป๐˜(๐˜€๐˜‚๐—ฏ๐˜€๐—ฐ๐—ฟ๐—ถ๐—ฝ๐˜๐—ถ๐—ผ๐—ป_๐˜€๐˜๐—ฎ๐˜๐˜‚๐˜€) ๐—ฎ๐˜€ ๐˜€๐˜‚๐—ฏ๐˜€๐—ฐ๐—ฟ๐—ถ๐—ฝ๐˜๐—ถ๐—ผ๐—ป_๐—ฐ๐—ผ๐˜‚๐—ป๐˜ ๐—ณ๐—ฟ๐—ผ๐—บ ๐˜€๐—ต๐—ผ๐—ฝ๐—ฝ๐—ถ๐—ป๐—ด_๐—ฑ๐—ฎ๐˜๐—ฎ ๐˜„๐—ต๐—ฒ๐—ฟ๐—ฒ ๐˜€๐˜‚๐—ฏ๐˜€๐—ฐ๐—ฟ๐—ถ๐—ฝ๐˜๐—ถ๐—ผ๐—ป_๐˜€๐˜๐—ฎ๐˜๐˜‚๐˜€ ๐—ถ๐—ป ('๐—ฌ๐—ฒ๐˜€') ๐—ด๐—ฟ๐—ผ๐˜‚๐—ฝ ๐—ฏ๐˜† "๐—น๐—ผ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป", ๐—ฎ๐—ด๐—ฒ_๐—ด๐—ฟ๐—ผ๐˜‚๐—ฝ ๐—ผ๐—ฟ๐—ฑ๐—ฒ๐—ฟ ๐—ฏ๐˜† "๐—น๐—ผ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป" ๐—Ÿ๐—ถ๐—ธ๐—ฒโค๏ธ and ๐—ฅ๐—ฒ๐—ฝ๐—ผ๐˜€๐˜๐Ÿ”„ if you find it helpful! ๐—™๐—ผ๐—น๐—น๐—ผ๐˜„โœ… for more data analytics content! #DataAnalyst #BusinessProblems #DataAnalytics #BusinessAnalyst #BusinessAnalytics #DataAnalysis #BusinessAnalysis #ProductAnalyst #DataAnalysisTips #AnalyticsCareer #BusinessProblems #CommunicationSkills #EffectiveCommunication #DataScienceCommunity #AnalyticsTips #DataWorkflow #AnalyticsBestPractices #DataProcesses #DataTypes #AnalyticsDocumentation #US #UK #Europe #Singapore #Germany #SQL #Python #PowerBI #Excel #AmazonRedshift #ABTesting #Remotework #GlobalRemoteWork #SalesAnalyst #HealthcareAnalyst #MarketingAnalyst #FinancialAnalyst #SalesAnalysis #FinancialAnalysis #HealthcareAnalysis #MarketingAnalysis #RemoteDataAnalyst #RemoteWork #USRemote #UKRemote #EuropeRemote #SingaporeRemote #HiringRemote #UjjwalJha
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This is another thing that you need to consider when you are learning a new tool as a Data analyst! Whenever you decide a new tool to learn, first decide: How this tool improves your data analysis process. Is it automating anything which can improve productivity? Is it improving code execution by making things simpler? Or any such improvement. This is important as it gives you a clear understanding about the benefit of that tool. Then you can learn it effectively. Likeโ™ฅ๏ธ and Repost๐Ÿ”„ if you find it helpful! Followโœ… for more data analytics content! #DataAnalyst #BusinessProblems #DataAnalytics #BusinessAnalyst #BusinessAnalytics #DataAnalysis #BusinessAnalysis #ProductAnalyst #DataAnalysisTips #AnalyticsCareer #BusinessProblems #CommunicationSkills #EffectiveCommunication #DataScienceCommunity #AnalyticsTips #DataWorkflow #AnalyticsBestPractices #DataProcesses #DataTypes #AnalyticsDocumentation #US #UK #Europe #Singapore #Germany #SQL #Python #PowerBI #Excel #AmazonRedshift #ABTesting #Remotework #GlobalRemoteWork #SalesAnalyst #HealthcareAnalyst #MarketingAnalyst #FinancialAnalyst #SalesAnalysis #FinancialAnalysis #HealthcareAnalysis #MarketingAnalysis #RemoteDataAnalyst #RemoteWork #USRemote #UKRemote #EuropeRemote #SingaporeRemote #HiringRemote #UjjwalJha
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๐—จ๐—ป๐—ฑ๐—ฒ๐—ฟ๐˜€๐˜๐—ฎ๐—ป๐—ฑ ๐˜„๐—ต๐˜† ๐—ฆ๐—ค๐—Ÿ ๐—ถ๐˜€ ๐—ผ๐—ป๐—ฒ ๐—ผ๐—ณ ๐˜๐—ต๐—ฒ ๐—บ๐—ผ๐˜€๐˜ ๐—ถ๐—บ๐—ฝ๐—ผ๐—ฟ๐˜๐—ฎ๐—ป๐˜ ๐˜€๐—ธ๐—ถ๐—น๐—น๐˜€ ๐—ถ๐—ป ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ฎ๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€! SQL is such a tool/language which is used for almost all the data-related roles. It is one such tool in data analytics that isn't dependent on the industry because everyone uses it. There are a lot of data analytics tasks that you can perform in SQL. Some are: โ€ข Data Cleaning, Pre-Processing, and Transformation. โ€ข Performing EDA. โ€ข Creating scripts using techniques such as Procedures. โ€ข Performing ad-hoc requests. โ€ข Validate data and much more. These tasks are very important and the foundation for effective analysis. So, it will be your biggest mistake if you skip SQL if you want to become a data analyst. ๐—Ÿ๐—ถ๐—ธ๐—ฒ๐Ÿ’š and ๐—ฅ๐—ฒ๐—ฝ๐—ผ๐˜€๐˜๐Ÿ”ƒ if you find it helpful! ๐—™๐—ผ๐—น๐—น๐—ผ๐˜„โœ”๏ธ for more data analytics content! #DataAnalyst #BusinessProblems #DataAnalytics #BusinessAnalyst #BusinessAnalytics #DataAnalysis #BusinessAnalysis #ProductAnalyst #DataAnalysisTips #AnalyticsCareer #BusinessProblems #CommunicationSkills #EffectiveCommunication #DataScienceCommunity #AnalyticsTips #DataWorkflow #AnalyticsBestPractices #DataProcesses #DataTypes #AnalyticsDocumentation #US #UK #Europe #Singapore #Germany #SQL #Python #PowerBI #Excel #AmazonRedshift #ABTesting #Remotework #GlobalRemoteWork #SalesAnalyst #HealthcareAnalyst #MarketingAnalyst #FinancialAnalyst #SalesAnalysis #FinancialAnalysis #HealthcareAnalysis #MarketingAnalysis #RemoteDataAnalyst #RemoteWork #USRemote #UKRemote #EuropeRemote #SingaporeRemote #HiringRemote #UjjwalJha
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29 Dec 2024
๐—จ๐—ป๐—ฑ๐—ฒ๐—ฟ๐˜€๐˜๐—ฎ๐—ป๐—ฑ ๐—ต๐—ผ๐˜„ ๐˜๐—ผ ๐—ฐ๐—ต๐—ฎ๐—ป๐—ด๐—ฒ ๐—ฑ๐—ฎ๐˜๐—ฎ๐˜๐˜†๐—ฝ๐—ฒ๐˜€ ๐—ถ๐—ป ๐—ฃ๐—ผ๐˜„๐—ฒ๐—ฟ ๐—•๐—œ ๐—ฎ๐˜€ ๐—ฎ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ฎ๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜! You can work with multiple data types in Power BI. Being a data analyst, you will get issues in datatypes of variables as well and if not fixed, they can lead to bigger issues in the analysis. ๐—ฆ๐—ผ, ๐—น๐—ฒ๐˜'๐˜€ ๐˜€๐—ฒ๐—ฒ ๐—ต๐—ผ๐˜„ ๐˜†๐—ผ๐˜‚ ๐—ฐ๐—ฎ๐—ป ๐˜„๐—ผ๐—ฟ๐—ธ ๐—ฎ๐—ป๐—ฑ ๐—ฐ๐—ต๐—ฎ๐—ป๐—ด๐—ฒ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐˜๐˜†๐—ฝ๐—ฒ๐˜€ ๐—ถ๐—ป ๐—ฃ๐—ผ๐˜„๐—ฒ๐—ฟ ๐—•๐—œ ๐—ฎ๐˜€ ๐—ฎ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ฎ๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜! โ€ข Go to Power Query. โ€ข Now check the top left of each column and you will see the data types icon, Click on it. โ€ข You can change the data type here. โ€ข You can also change data types by going to the Transform Tab and then Data Type. Enjoy! ๐—Ÿ๐—ถ๐—ธ๐—ฒ and ๐—™๐—ผ๐—น๐—น๐—ผ๐˜„ for more data analytics content! #DataAnalyst #BusinessProblems #DataAnalytics #BusinessAnalyst #BusinessAnalytics #DataAnalysis #BusinessAnalysis #ProductAnalyst #DataAnalysisTips #AnalyticsCareer #BusinessProblems #CommunicationSkills #EffectiveCommunication #DataScienceCommunity #AnalyticsTips #DataWorkflow #AnalyticsBestPractices #DataProcesses #DataTypes #AnalyticsDocumentation #US #UK #Europe #Singapore #Germany #SQL #Python #PowerBI #Excel #AmazonRedshift #ABTesting #Remotework #GlobalRemoteWork #SalesAnalyst #HealthcareAnalyst #MarketingAnalyst #FinancialAnalyst #SalesAnalysis #FinancialAnalysis #HealthcareAnalysis #MarketingAnalysis #RemoteDataAnalyst #RemoteWork #USRemote #UKRemote
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24 Dec 2024
๐—ง๐—ต๐—ถ๐˜€ ๐—ถ๐˜€ ๐—ต๐—ผ๐˜„ ๐˜†๐—ผ๐˜‚ ๐˜€๐—ต๐—ผ๐˜‚๐—น๐—ฑ ๐˜€๐˜๐—ฎ๐—ฟ๐˜ ๐—น๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐—ฝ๐˜†๐˜๐—ต๐—ผ๐—ป ๐—ฎ๐˜€ ๐—ฎ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ฎ๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜! Python is a really good tool/language if you want to automate data analysis tasks, perform all tasks in one place, and much more. But often aspiring data analysts start learning Python inefficiently. ๐—Ÿ๐—ฒ๐˜ ๐—บ๐—ฒ ๐—ด๐—ถ๐˜ƒ๐—ฒ ๐˜†๐—ผ๐˜‚ ๐—ฎ๐—ป ๐—ฎ๐—ฑ๐˜ƒ๐—ถ๐—ฐ๐—ฒ: โ€ข First, understand the basic syntax and functioning of Python. โ€ข Then you should learn Pandas because you will be cleaning, pre-processing, transforming, and manipulating data in Python using Pandas. โ€ข Spend an ample amount of time learning Pandas as it will make or break your data analysis learning with Python. โ€ข Don't jump to visualization libraries or statistical libraries. So, start learning Python like if as a data analyst. Merry Christmas to all. Enjoy. Like, Comment, and Follow for more! #DataAnalyst #BusinessProblems #DataAnalytics #BusinessAnalyst #BusinessAnalytics #DataAnalysis #BusinessAnalysis #ProductAnalyst #DataAnalysisTips #AnalyticsCareer #BusinessProblems #CommunicationSkills #EffectiveCommunication #DataScienceCommunity #AnalyticsTips #DataWorkflow #AnalyticsBestPractices #DataProcesses #DataTypes #AnalyticsDocumentation #US #UK #Europe #Singapore #Germany #SQL #Python #PowerBI #Excel #AmazonRedshift #ABTesting #Remotework #GlobalRemoteWork #SalesAnalyst #HealthcareAnalyst #MarketingAnalyst #FinancialAnalyst #SalesAnalysis #FinancialAnalysis #HealthcareAnalysis #MarketingAnalysis #RemoteDataAnalyst #RemoteWork #USRemote #UKRemote
1
1
34
23 Dec 2024
๐—ฌ๐—ผ๐˜‚ ๐—ป๐—ฒ๐—ฒ๐—ฑ ๐˜๐—ผ ๐—ธ๐—ป๐—ผ๐˜„ ๐˜๐—ต๐—ถ๐˜€ ๐—ถ๐—ณ ๐˜†๐—ผ๐˜‚ ๐˜„๐—ฎ๐—ป๐˜ ๐˜๐—ผ ๐—น๐—ฎ๐—ป๐—ฑ ๐—ฎ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ฎ๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜ ๐—ฟ๐—ผ๐—น๐—ฒ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ! You all must be looking forward to 2025 for landing a data analyst role! ๐—Ÿ๐—ฒ๐˜ ๐—บ๐—ฒ ๐˜๐—ฒ๐—น๐—น ๐˜†๐—ผ๐˜‚ ๐˜๐—ต๐—ฎ๐˜: โ€ข SQL will be required in 2025 to land a data analyst role. โ€ข It is not going to vanish at all. โ€ข SQL has been here for decades and will stay relevant for a very long time. โ€ข So, don't ignore SQL. โ€ข Create a portfolio project using SQL to showcase your skills. โ€ข Practice SQL questions from various platforms to sharpen your SQL skills. So, keep grinding and keep learning. Merry Christmas to all. Enjoy. Like, Comment, and Follow for more! #DataAnalyst #BusinessProblems #DataAnalytics #BusinessAnalyst #BusinessAnalytics #DataAnalysis #BusinessAnalysis #ProductAnalyst #DataAnalysisTips #AnalyticsCareer #BusinessProblems #CommunicationSkills #EffectiveCommunication #DataScienceCommunity #AnalyticsTips #DataWorkflow #AnalyticsBestPractices #DataProcesses #DataTypes #AnalyticsDocumentation #US #UK #Europe #Singapore #Germany #SQL #Python #PowerBI #Excel #AmazonRedshift #ABTesting #Remotework #GlobalRemoteWork #SalesAnalyst #HealthcareAnalyst #MarketingAnalyst #FinancialAnalyst #SalesAnalysis #FinancialAnalysis #HealthcareAnalysis #MarketingAnalysis #RemoteDataAnalyst #RemoteWork #USRemote #UKRemote #EuropeRemote #SingaporeRemote #HiringRemote #UjjwalJha
1
2
66
23 Dec 2024
๐—จ๐—ป๐—ฑ๐—ฒ๐—ฟ๐˜€๐˜๐—ฎ๐—ป๐—ฑ ๐—ต๐—ผ๐˜„ ๐˜๐—ผ ๐—ฎ๐—ป๐˜€๐˜„๐—ฒ๐—ฟ ๐—ฎ๐—ป ๐—ถ๐—บ๐—ฝ๐—ผ๐—ฟ๐˜๐—ฎ๐—ป๐˜ ๐—ฏ๐˜‚๐˜€๐—ถ๐—ป๐—ฒ๐˜€๐˜€ ๐—พ๐˜‚๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป ๐˜‚๐˜€๐—ถ๐—ป๐—ด ๐—ฑ๐—ฒ๐—ป๐˜€๐—ฒ ๐—ฟ๐—ฎ๐—ป๐—ธ ๐˜„๐—ถ๐—ป๐—ฑ๐—ผ๐˜„ ๐—ณ๐˜‚๐—ป๐—ฐ๐˜๐—ถ๐—ผ๐—ป ๐—ฎ๐˜€ ๐—ฎ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ฎ๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜! You will use a lot of window functions in your career as a data analyst. ๐—Ÿ๐—ฒ๐˜'๐˜€ ๐˜๐—ฟ๐˜† ๐˜๐—ผ ๐—ฎ๐—ป๐˜€๐˜„๐—ฒ๐—ฟ ๐—ฎ๐—ป ๐—ถ๐—บ๐—ฝ๐—ผ๐—ฟ๐˜๐—ฎ๐—ป๐˜ ๐—ฏ๐˜‚๐˜€๐—ถ๐—ป๐—ฒ๐˜€๐˜€ ๐—พ๐˜‚๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป: Business Question: ๐—›๐—ผ๐˜„ ๐—ฒ๐—ฎ๐—ฐ๐—ต ๐—ฐ๐—ฎ๐—บ๐—ฝ๐—ฎ๐—ถ๐—ด๐—ป ๐—ฝ๐—ฒ๐—ฟ๐—ณ๐—ผ๐—ฟ๐—บ๐—ฒ๐—ฑ ๐—ถ๐—ป ๐—ฒ๐—ฎ๐—ฐ๐—ต ๐—ฐ๐—ผ๐˜‚๐—ป๐˜๐—ฟ๐˜† ๐—ฏ๐˜† ๐—ฝ๐—ฟ๐—ผ๐—ณ๐—ถ๐˜? ๐—ฆ๐—ผ๐—น๐˜‚๐˜๐—ถ๐—ผ๐—ป: ๐—ฆ๐—˜๐—Ÿ๐—˜๐—–๐—ง ๐—ฐ๐—ฎ๐—บ๐—ฝ๐—ฎ๐—ถ๐—ด๐—ป_๐˜๐—ถ๐˜๐—น๐—ฒ, ๐˜ƒ๐—ฎ๐—ฟ๐—ถ๐—ฎ๐—ป๐˜_๐—ฐ๐—ผ๐˜‚๐—ป๐˜๐—ฟ๐˜†, ๐˜ƒ๐—ฎ๐—ฟ๐—ถ๐—ฎ๐—ป๐˜_๐˜๐˜†๐—ฝ๐—ฒ, ๐˜๐—ผ๐˜๐—ฎ๐—น_๐—ฝ๐—ฟ๐—ผ๐—ณ๐—ถ๐˜, ๐—ฑ๐—ฒ๐—ป๐˜€๐—ฒ_๐—ฟ๐—ฎ๐—ป๐—ธ() ๐—ข๐—ฉ๐—˜๐—ฅ(๐—ฝ๐—ฎ๐—ฟ๐˜๐—ถ๐˜๐—ถ๐—ผ๐—ป ๐—ฏ๐˜† ๐—ฐ๐—ฎ๐—บ๐—ฝ๐—ฎ๐—ถ๐—ด๐—ป_๐˜๐—ถ๐˜๐—น๐—ฒ ๐—ข๐—ฅ๐——๐—˜๐—ฅ ๐—•๐—ฌ ๐˜๐—ผ๐˜๐—ฎ๐—น_๐—ฝ๐—ฟ๐—ผ๐—ณ๐—ถ๐˜ ๐——๐—˜๐—ฆ๐—–) ๐—”๐—ฆ ๐—ฝ๐—ฟ๐—ผ๐—ณ๐—ถ๐˜_๐—ฟ๐—ฎ๐—ป๐—ธ ๐—™๐—ฅ๐—ข๐—  ๐—ฒ๐—บ๐—ฎ๐—ถ๐—น_๐—ฐ๐—ฎ๐—บ๐—ฝ๐—ฎ๐—ถ๐—ด๐—ป So, this is how you can answer marketing business question as a data analyst. Enjoy. Like, Comment, and Follow for more! #DataAnalyst #BusinessProblems #DataAnalytics #BusinessAnalyst #BusinessAnalytics #DataAnalysis #BusinessAnalysis #ProductAnalyst #DataAnalysisTips #AnalyticsCareer #BusinessProblems #CommunicationSkills #EffectiveCommunication #DataScienceCommunity #AnalyticsTips #DataWorkflow #AnalyticsBestPractices #DataProcesses #DataTypes #AnalyticsDocumentation #US #UK #Europe #Singapore #Germany #SQL #Python #PowerBI #Excel #AmazonRedshift #ABTesting #Remotework #GlobalRemoteWork #SalesAnalyst #HealthcareAnalyst #MarketingAnalyst #FinancialAnalyst #SalesAnalysis #FinancialAnalysis #HealthcareAnalysis #MarketingAnalysis #RemoteDataAnalyst #RemoteWork #USRemote #UKRemote #EuropeRemote #SingaporeRemote #HiringRemote #UjjwalJha
4
42
21 Dec 2024
๐—ง๐—ต๐—ถ๐˜€ ๐—ถ๐˜€ ๐—ต๐—ผ๐˜„ ๐˜†๐—ผ๐˜‚ ๐—ท๐—ผ๐—ถ๐—ป ๐˜๐˜„๐—ผ ๐˜๐—ฎ๐—ฏ๐—น๐—ฒ๐˜€ ๐˜„๐—ถ๐˜๐—ต๐—ผ๐˜‚๐˜ ๐—ฐ๐—ผ๐—บ๐—บ๐—ผ๐—ป ๐—ฐ๐—ผ๐—น๐˜‚๐—บ๐—ป ๐—ฎ๐˜€ ๐—ฎ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ฎ๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜! A lot of times, as a data analyst, you will have tables that don't have common columns between them due to strict normalization. Also, you will need to perform a join between them as a data analyst. ๐—ฆ๐—ผ, ๐—น๐—ฒ๐˜ ๐—บ๐—ฒ ๐˜๐—ฒ๐—น๐—น ๐˜†๐—ผ๐˜‚ ๐—ต๐—ผ๐˜„ ๐˜๐—ผ ๐—ฝ๐—ฒ๐—ฟ๐—ณ๐—ผ๐—ฟ๐—บ ๐—ท๐—ผ๐—ถ๐—ป ๐—ถ๐—ป ๐˜€๐˜‚๐—ฐ๐—ต ๐˜€๐—ถ๐˜๐˜‚๐—ฎ๐˜๐—ถ๐—ผ๐—ป: โ€ข You may have a branching table that contains the primary key of both these tables as the primary key or foreign key. โ€ข Connect both of these tables with the branching table. โ€ข This creates an indirect link between those two tables and you can extract relevant data from them. ๐—˜๐˜…๐—ฎ๐—บ๐—ฝ๐—น๐—ฒ: ๐—ฆ๐—˜๐—Ÿ๐—˜๐—–๐—ง ๐—ฒ.๐—ฒ๐—บ๐—ฝ_๐—ป๐—ผ, ๐—ฒ.๐—ณ๐—ถ๐—ฟ๐˜€๐˜_๐—ป๐—ฎ๐—บ๐—ฒ, ๐—ฑ.๐—ฑ๐—ฒ๐—ฝ๐˜_๐—ป๐—ฎ๐—บ๐—ฒ ๐—™๐—ฅ๐—ข๐—  ๐—ฒ๐—บ๐—ฝ๐—น๐—ผ๐˜†๐—ฒ๐—ฒ๐˜€ ๐—”๐—ฆ ๐—ฒ ๐—œ๐—ก๐—ก๐—˜๐—ฅ ๐—๐—ข๐—œ๐—ก ๐—ฑ๐—ฒ๐—ฝ๐˜_๐—ฒ๐—บ๐—ฝ ๐—”๐—ฆ ๐—ฑ๐—ฒ ๐—จ๐—ฆ๐—œ๐—ก๐—š (๐—ฒ๐—บ๐—ฝ_๐—ป๐—ผ) ๐—œ๐—ก๐—ก๐—˜๐—ฅ ๐—๐—ข๐—œ๐—ก ๐—ฑ๐—ฒ๐—ฝ๐—ฎ๐—ฟ๐˜๐—บ๐—ฒ๐—ป๐˜๐˜€ ๐—”๐—ฆ ๐—ฑ ๐—จ๐—ฆ๐—œ๐—ก๐—š (๐—ฑ๐—ฒ๐—ฝ๐˜_๐—ป๐—ผ) Here, emp_no is the primary key of employees table dept_no is the primary key of dept_emp and departments table. Enjoy. Like, Comment, and Follow for more! #DataAnalyst #BusinessProblems #DataAnalytics #BusinessAnalyst #BusinessAnalytics #DataAnalysis #BusinessAnalysis #ProductAnalyst #DataAnalysisTips #AnalyticsCareer #BusinessProblems #CommunicationSkills #EffectiveCommunication #DataScienceCommunity #AnalyticsTips #DataWorkflow #AnalyticsBestPractices #DataProcesses #DataTypes #AnalyticsDocumentation #US #UK #Europe #Singapore #Germany #SQL #Python #PowerBI #Excel #AmazonRedshift #ABTesting #Remotework #GlobalRemoteWork #SalesAnalyst #HealthcareAnalyst #MarketingAnalyst #FinancialAnalyst #SalesAnalysis #FinancialAnalysis #HealthcareAnalysis #MarketingAnalysis #RemoteDataAnalyst #RemoteWork #USRemote #UKRemote #EuropeRemote #SingaporeRemote #HiringRemote #UjjwalJha
2
32
20 Dec 2024
๐—จ๐—ป๐—ฑ๐—ฒ๐—ฟ๐˜€๐˜๐—ฎ๐—ป๐—ฑ ๐˜„๐—ต๐˜† ๐——๐—ฎ๐˜๐—ฎ ๐—–๐—น๐—ฒ๐—ฎ๐—ป๐—ถ๐—ป๐—ด ๐—ถ๐˜€ ๐—ถ๐—บ๐—ฝ๐—ผ๐—ฟ๐˜๐—ฎ๐—ป๐˜ ๐—ฎ๐˜€ ๐—ฎ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜! Suppose stakeholders ask you a very simple business question such as: ๐—›๐—ผ๐˜„ ๐—บ๐˜‚๐—ฐ๐—ต ๐—ฟ๐—ฒ๐˜ƒ๐—ฒ๐—ป๐˜‚๐—ฒ ๐—ฑ๐—ถ๐—ฑ ๐˜„๐—ฒ ๐—ด๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐˜๐—ฒ ๐—ณ๐—ฟ๐—ผ๐—บ ๐—ฒ๐—ฎ๐—ฐ๐—ต ๐—ฐ๐—ผ๐˜‚๐—ป๐˜๐—ฟ๐˜†? โ€ข You performed a simple SQL query for that and got the results. โ€ข The issue is for some values "United States" had more than one space and now SQL is aggregating them separately. โ€ข So, now you have two different "Total Revenue" for the United States. โ€ข Also, if you directly loaded this data in Power BI and created a dashboard, what would happen then? โ€ข Uncleaned data skews your analysis and you can never analyze data accurately and precisely with such data. So, always clean your data as a data analyst! Enjoy. Like, Comment, and Follow for more! #DataAnalyst #BusinessProblems #DataAnalytics #BusinessAnalyst #BusinessAnalytics #DataAnalysis #BusinessAnalysis #ProductAnalyst #DataAnalysisTips #AnalyticsCareer #BusinessProblems #CommunicationSkills #EffectiveCommunication #DataScienceCommunity #AnalyticsTips #DataWorkflow #AnalyticsBestPractices #DataProcesses #DataTypes #AnalyticsDocumentation #US #UK #Europe #Singapore #Germany #SQL #Python #PowerBI #Excel #AmazonRedshift #ABTesting #Remotework #GlobalRemoteWork #SalesAnalyst #HealthcareAnalyst #MarketingAnalyst #FinancialAnalyst #SalesAnalysis #FinancialAnalysis #HealthcareAnalysis #MarketingAnalysis #RemoteDataAnalyst #RemoteWork #USRemote #UKRemote #EuropeRemote #SingaporeRemote #HiringRemote #UjjwalJha
2
53
17 Dec 2024
๐—จ๐—ป๐—ฑ๐—ฒ๐—ฟ๐˜€๐˜๐—ฎ๐—ป๐—ฑ ๐˜๐—ต๐—ฒ ๐˜€๐˜†๐—ป๐˜๐—ฎ๐˜… ๐—ผ๐—ณ ๐—ฉ๐—ถ๐—ฒ๐˜„๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—ต๐—ผ๐˜„ ๐˜๐—ผ ๐—ฐ๐—ฟ๐—ฒ๐—ฎ๐˜๐—ฒ ๐˜๐—ต๐—ฒ๐—บ ๐—ถ๐—ป ๐—ฆ๐—ค๐—Ÿ ๐—ฎ๐˜€ ๐—ฎ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ฎ๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜. A few days ago, I created a post discussing the use case of VIEWS and how you can leverage them as a data analyst. In this post, I have shown you how to create a VIEW in SQL. Let's see the business question we had today. ๐—•๐˜‚๐˜€๐—ถ๐—ป๐—ฒ๐˜€๐˜€ ๐—ค๐˜‚๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป: How much average profit are we generating for each country? Solution: ๐—–๐—ฅ๐—˜๐—”๐—ง๐—˜ ๐—ฉ๐—œ๐—˜๐—ช ๐—ฎ๐˜ƒ๐—ด_๐—ฝ๐—ฟ๐—ผ๐—ณ๐—ถ๐˜ ๐—”๐—ฆ ( ๐—ฆ๐—˜๐—Ÿ๐—˜๐—–๐—ง ๐—ฐ๐—ผ๐˜‚๐—ป๐˜๐—ฟ๐˜†, ๐—”๐—ฉ๐—š(๐—ฝ๐—ฟ๐—ผ๐—ณ๐—ถ๐˜) ๐—”๐—ฆ "๐—”๐˜ƒ๐—ฒ๐—ฟ๐—ฎ๐—ด๐—ฒ ๐—ฃ๐—ฟ๐—ผ๐—ณ๐—ถ๐˜" ๐—™๐—ฅ๐—ข๐—  ๐˜€๐—ฎ๐—น๐—ฒ๐˜€_๐—ฑ๐—ฎ๐˜๐—ฎ ๐—š๐—ฅ๐—ข๐—จ๐—ฃ ๐—•๐—ฌ ๐—ฐ๐—ผ๐˜‚๐—ป๐˜๐—ฟ๐˜†) Enjoy. Like, Comment, and Follow for more! #DataAnalyst #BusinessProblems #DataAnalytics #BusinessAnalyst #BusinessAnalytics #DataAnalysis #BusinessAnalysis #ProductAnalyst #DataAnalysisTips #AnalyticsCareer #BusinessProblems #CommunicationSkills #EffectiveCommunication #DataScienceCommunity #AnalyticsTips #DataWorkflow #AnalyticsBestPractices #DataProcesses #DataTypes #AnalyticsDocumentation #US #UK #Europe #Singapore #Germany #SQL #Python #PowerBI #Excel #AmazonRedshift #ABTesting #Remotework #GlobalRemoteWork #SalesAnalyst #HealthcareAnalyst #MarketingAnalyst #FinancialAnalyst #SalesAnalysis #FinancialAnalysis #HealthcareAnalysis #MarketingAnalysis #RemoteDataAnalyst #RemoteWork #USRemote #UKRemote #EuropeRemote #SingaporeRemote #HiringRemote #UjjwalJha
3
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16 Dec 2024
๐—ง๐—ต๐—ถ๐˜€ ๐—ถ๐˜€ ๐—ต๐—ผ๐˜„ ๐˜†๐—ผ๐˜‚ ๐˜€๐—ผ๐—น๐˜ƒ๐—ฒ ๐—ฎ ๐—ฏ๐—ฎ๐˜€๐—ถ๐—ฐ ๐—ฏ๐˜‚๐˜€๐—ถ๐—ป๐—ฒ๐˜€๐˜€ ๐—พ๐˜‚๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป ๐˜‚๐˜€๐—ถ๐—ป๐—ด ๐—ฆ๐—ค๐—Ÿ ๐—ณ๐˜‚๐—ป๐—ฑ๐—ฎ๐—บ๐—ฒ๐—ป๐˜๐—ฎ๐—น๐˜€ ๐—ฎ๐˜€ ๐—ฎ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ฎ๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜! So, let's understand the business problem. ๐—•๐˜‚๐˜€๐—ถ๐—ป๐—ฒ๐˜€๐˜€ ๐—ฃ๐—ฟ๐—ผ๐—ฏ๐—น๐—ฒ๐—บ: Which Bike has maximum sales? ๐—ฆ๐—ผ๐—น๐˜‚๐˜๐—ถ๐—ผ๐—ป ๐—ฆ๐—˜๐—Ÿ๐—˜๐—–๐—ง ๐—ฝ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜_๐—บ๐—ผ๐—ฑ๐—ฒ๐—น, ๐—ฆ๐—จ๐— (๐—ผ๐—ฟ๐—ฑ๐—ฒ๐—ฟ_๐—พ๐˜‚๐—ฎ๐—ป๐˜๐—ถ๐˜๐˜†) ๐—”๐—ฆ "๐—ง๐—ผ๐˜๐—ฎ๐—น ๐—ค๐˜‚๐—ฎ๐—ป๐˜๐—ถ๐˜๐˜†" ๐—™๐—ฅ๐—ข๐—  ๐˜€๐—ฎ๐—น๐—ฒ๐˜€_๐—ฑ๐—ฎ๐˜๐—ฎ ๐—š๐—ฅ๐—ข๐—จ๐—ฃ ๐—•๐—ฌ ๐—ฝ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜_๐—บ๐—ผ๐—ฑ๐—ฒ๐—น ๐—ข๐—ฅ๐——๐—˜๐—ฅ ๐—•๐—ฌ "๐—ง๐—ผ๐˜๐—ฎ๐—น ๐—ค๐˜‚๐—ฎ๐—ป๐˜๐—ถ๐˜๐˜†" ๐——๐—˜๐—ฆ๐—– ๐—Ÿ๐—œ๐— ๐—œ๐—ง ๐Ÿญ Also, tell me how you use SQL as a data analyst. Enjoy. Like, Comment, and Follow for more! #DataAnalyst #BusinessProblems #DataAnalytics #BusinessAnalyst #BusinessAnalytics #DataAnalysis #BusinessAnalysis #ProductAnalyst #DataAnalysisTips #AnalyticsCareer #BusinessProblems #CommunicationSkills #EffectiveCommunication #DataScienceCommunity #AnalyticsTips #DataWorkflow #AnalyticsBestPractices #DataProcesses #DataTypes #AnalyticsDocumentation #US #UK #Europe #Singapore #Germany #SQL #Python #PowerBI #Excel #AmazonRedshift #ABTesting #Remotework #GlobalRemoteWork #SalesAnalyst #HealthcareAnalyst #MarketingAnalyst #FinancialAnalyst #SalesAnalysis #FinancialAnalysis #HealthcareAnalysis #MarketingAnalysis #RemoteDataAnalyst #RemoteWork #USRemote #UKRemote #EuropeRemote #SingaporeRemote #HiringRemote #UjjwalJha
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