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X-WR-CALNAME:Opus Kinetic
X-ORIGINAL-URL:https://www.opuskinetic.com
X-WR-CALDESC:Events for Opus Kinetic
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DTSTART:20250101T000000
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DTSTART;VALUE=DATE:20261030
DTEND;VALUE=DATE:20261108
DTSTAMP:20261101T160234
CREATED:20260924T085447Z
LAST-MODIFIED:20261031T024431Z
UID:10002643-1793318400-1794095999@www.opuskinetic.com
SUMMARY:Advanced Power BI & Data Analytics for Business Intelligence
DESCRIPTION:Why Choose this Training Course\nThis advanced 3-day programme is designed for professionals who want to move beyond basic Power BI reporting and develop the skills required to build sophisticated\, interactive and business-focused Business Intelligence (BI) solutions. \nParticipants will explore advanced Power BI capabilities for connecting\, transforming\, modelling and analysing complex datasets\, while developing powerful dashboards and visualisations that support faster\, more informed decision-making. \nThe programme provides hands-on exposure to advanced data preparation and transformation using Power Query and M\, sophisticated data modelling techniques\, DAX-based analytics\, advanced visualisation methods and the integration of Python and other analytical capabilities. \nParticipants will also learn how to design scalable BI solutions\, automate data flows\, develop objective-driven dashboards\, publish secure reports and effectively distribute Power BI outputs across an organisation. \nWe are also a proud member of the Energy Institute of UK. \nWho Should Attend\n\nData Analysts and Business Analysts\nBusiness Intelligence Professionals\nReporting and MIS Professionals\nProject Managers\nData and Analytics Teams\nIT Professionals\nFinance and Commercial Analysts\nOperations and Performance Management Professionals\nManagers responsible for data-driven decision-making\nProfessionals who already have foundational Power BI experience\n\nKey Learning Objectives\n\nDesign and develop advanced Business Intelligence solutions using Microsoft Power BI.\nConnect Power BI to diverse data sources and manage complex datasets.\nApply advanced ETL and data transformation techniques using Power Query and M.\nBuild robust and scalable data models for business reporting and analytics.\nUse DAX to perform advanced calculations and analytical functions.\nApply Python and other analytical techniques to extend Power BI capabilities.\nDevelop sophisticated and interactive data visualisations and dashboards.\nApply information design principles to create clear\, decision-oriented BI reports.\nAutomate and streamline data preparation and reporting workflows.\nPublish\, manage and secure Power BI reports and dashboards for organisational users.\nIntegrate Power BI outputs with other business applications and platforms.\nUse advanced analytics to identify trends\, patterns and actionable business insights.\n\nEnquiry Form\n\n\n                \n                        X/TwitterThis field is for validation purposes and should be left unchanged.SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name(Required)\n                            \n                            \n                                                    \n                                                    First\n                                                \n                            \n                            \n                                                    \n                                                    Last\n                                                \n                            \n                        Phone(Required)\n			\n				\n					\n						\n						\n							\n							\n						\n						Country\n					\n					\n						\n						\n						Phone Number\n					\n				\n				\n					\n						\n					\n					\n						\n					\n					\n				\n				\n			Email(Required)\n                            \n                        Company(Required)Current Location(Required)    \n                    \n                        \n                                        AfghanistanÅland IslandsAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCôte d'IvoireCroatiaCubaCuraçaoCyprusCzechiaDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRéunionRomaniaRussian FederationRwandaSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTürkiyeTurkmenistanTurks and Caicos IslandsTuvaluUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUS Minor Outlying IslandsUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabwe\n                                        Country\n                                    \n                    \n                How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n								\n								Send me brochure\n							Comments:CAPTCHA\n         Submit
URL:https://www.opuskinetic.com/training/advanced-power-bi-data-analytics-for-business-intelligence/2026-10-30/
LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia
CATEGORIES:Big Data, AI & Cybersecurity,Common,Corporate, Business Management and HR
ATTACH;FMTTYPE=image/png:https://www.opuskinetic.com/wp-content/uploads/2026/09/power-bi-fi1-scaled.png
ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com
GEO:3.1384965;101.7099933
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